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particulate</title> <meta name="description" content="Search results for: PM10 particulate"> <meta name="keywords" content="PM10 particulate"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="PM10 particulate"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 323</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: PM10 particulate</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">323</span> Daily Variations of Particulate Matter (PM10) in Industrial Sites in an Suburban Area of Sour El Ghozlane, Algeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sidali%20Khedidji">Sidali Khedidji</a>, <a href="https://publications.waset.org/abstracts/search?q=Riad%20Ladji"> Riad Ladji</a>, <a href="https://publications.waset.org/abstracts/search?q=Noureddine%20Yassaa"> Noureddine Yassaa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, particulate matter (PM10) which are hazardous for environment and human health were investigated in Sour El Ghozlane suburban atmosphere at a sampling point from March 2013 to April 2013. Ambient concentration measurements of polycyclic aromatic hydrocarbons were carried out at a regional study of the cement industry in Sour El Ghozlane. During sampling, the airborne particulate matter was enriched onto PTFE filters by using a two medium volume samplers with or without a size-selective inlet for PM10 and TSP were used and each sampling period lasted approximately 24 h. The organic compounds were characterized using gas chromatography coupled with mass spectrometric detection (GC-MSD). Total concentrations for PAHs recorded in sour el ghozlane suburban ranged from 101 to 204 ng m-3. Gravimeter method was applied to the black smoke concentration data for Springer seasons. The 24 h average concentrations of PM10 and TSP of Sour El Ghozlane suburban atmosphere were found in the range 4.76–165.76 μg/m3 and 28.63–800.14 μg/m3, respectively, in the sampling period. Meteorological factors, such as (relative humidity and temperature) were typically found to be affecting PMs, especially PM10. Air temperature did not seem to be significantly affecting TSP and PM10 mass concentrations.The guide value fixed by the European Community «40 μg/m3» not to exceed 35 days, were exceeded in some samples. However, it should be noted that the value limit fixed by the Algerian regulations «80 μg/m3» has been exceeded in 3 samplers during the period study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PAHs" title="PAHs">PAHs</a>, <a href="https://publications.waset.org/abstracts/search?q=PM10" title=" PM10"> PM10</a>, <a href="https://publications.waset.org/abstracts/search?q=TSP" title=" TSP"> TSP</a>, <a href="https://publications.waset.org/abstracts/search?q=particulate%20matter" title=" particulate matter"> particulate matter</a>, <a href="https://publications.waset.org/abstracts/search?q=cement%20industry" title=" cement industry "> cement industry </a> </p> <a href="https://publications.waset.org/abstracts/17745/daily-variations-of-particulate-matter-pm10-in-industrial-sites-in-an-suburban-area-of-sour-el-ghozlane-algeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17745.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">378</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">322</span> Human Health Risks Assessment of Particulate Air Pollution in Romania</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Katalin%20Bodor">Katalin Bodor</a>, <a href="https://publications.waset.org/abstracts/search?q=Zsolt%20Bodor"> Zsolt Bodor</a>, <a href="https://publications.waset.org/abstracts/search?q=Robert%20Szep"> Robert Szep</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The particulate matter (PM) smaller than 2.5 μm are less studied due to the limited availability of PM₂.₅, and less information is available on the health effects attributable to PM₁₀ in Central-Eastern Europe. The objective of the current study was to assess the human health risk and characterize the spatial and temporal variation of PM₂.₅ and PM₁₀ in eight Romanian regions between the 2009-2018 and. The PM concentrations showed high variability over time and spatial distribution. The highest concentration was detected in the Bucharest region in the winter period, and the lowest was detected in West. The relative risk caused by the PM₁₀ for all-cause mortality varied between 1.017 (B) and 1.025 (W), with an average 1.020. The results demonstrate a positive relative risk of cardiopulmonary and lung cancer disease due to exposure to PM₂.₅ on the national average 1.26 ( ± 0.023) and 1.42 ( ± 0.037), respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PM%E2%82%82.%E2%82%85" title="PM₂.₅">PM₂.₅</a>, <a href="https://publications.waset.org/abstracts/search?q=PM%E2%82%81%E2%82%80" title=" PM₁₀"> PM₁₀</a>, <a href="https://publications.waset.org/abstracts/search?q=relative%20risk" title=" relative risk"> relative risk</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20effect" title=" health effect"> health effect</a> </p> <a href="https://publications.waset.org/abstracts/123809/human-health-risks-assessment-of-particulate-air-pollution-in-romania" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123809.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">161</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">321</span> Estimating Air Particulate Matter 10 Using Satellite Data and Analyzing Its Annual Temporal Pattern over Gaza Strip, Palestine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=%D9%90Abdallah%20A.%20A.%20Shaheen">ِAbdallah A. A. Shaheen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Gaza Strip faces economic and political issues such as conflict, siege and urbanization; all these have led to an increase in the air pollution over Gaza Strip. In this study, Particulate matter 10 (PM10) concentration over Gaza Strip has been estimated by Landsat Thematic Mapper (TM) and Landsat Enhanced Thematic Mapper Plus (ETM+) data, based on a multispectral algorithm. Simultaneously, in-situ measurements for the corresponding particulate are acquired for selected time period. Landsat and ground data for eleven years are used to develop the algorithm while four years data (2002, 2006, 2010 and 2014) have been used to validate the results of algorithm. The developed algorithm gives highest regression, R coefficient value i.e. 0.86; RMSE value as 9.71 µg/m³; P values as 0. Average validation of algorithm show that calculated PM10 strongly correlates with measured PM10, indicating high efficiency of algorithm for the mapping of PM10 concentration during the years 2000 to 2014. Overall results show increase in minimum, maximum and average yearly PM10 concentrations, also presents similar trend over urban area. The rate of urbanization has been evaluated by supervised classification of the Landsat image. Urban sprawl from year 2000 to 2014 results in a high concentration of PM10 in the study area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PM10" title="PM10">PM10</a>, <a href="https://publications.waset.org/abstracts/search?q=landsat" title=" landsat"> landsat</a>, <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20reflectance" title=" atmospheric reflectance"> atmospheric reflectance</a>, <a href="https://publications.waset.org/abstracts/search?q=Gaza%20strip" title=" Gaza strip"> Gaza strip</a>, <a href="https://publications.waset.org/abstracts/search?q=urbanization" title=" urbanization "> urbanization </a> </p> <a href="https://publications.waset.org/abstracts/69422/estimating-air-particulate-matter-10-using-satellite-data-and-analyzing-its-annual-temporal-pattern-over-gaza-strip-palestine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69422.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">255</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">320</span> Risk Assessment of Particulate Matter (PM10) in Makkah, Saudi Arabia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Turki%20M.%20Habeebullah">Turki M. Habeebullah</a>, <a href="https://publications.waset.org/abstracts/search?q=Atef%20M.%20F.%20Mohammed"> Atef M. F. Mohammed</a>, <a href="https://publications.waset.org/abstracts/search?q=Essam%20A.%20Morsy"> Essam A. Morsy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent decades, particulate matter (PM10) have received much attention due to its potential adverse health impact and the subsequent need to better control or regulate these pollutants. The aim of this paper is focused on study risk assessment of PM10 in four different districts (Shebikah, Masfalah, Aziziyah, Awali) in Makkah, Saudi Arabia during the period from 1 Ramadan 1434 AH - 27 Safar 1435 AH. samples was collected by using Low Volume Sampler (LVS Low Volume Sampler) device and filtration method for estimating the total concentration of PM10. The study indicated that the mean PM10 concentrations were 254.6 (186.1 - 343.2) µg/m3 in Shebikah, 184.9 (145.6 - 271.4) µg/m3 in Masfalah, 162.4 (92.4 - 253.8) µg/m3 in Aziziyah, and 56.0 (44.5 - 119.8) µg/m3 in Awali. These values did not exceed the permissible limits in PME (340 µg/m3 as daily average). Furthermore, health assessment is carried out using AirQ2.2.3 model to estimate the number of hospital admissions due to respiratory diseases. The cumulative number of cases per 100,000 were 1534 (18-3050 case), which lower than that recorded in the United States, Malaysia. The concentration response coefficient was 0.49 (95% CI 0.05 - 0.70) per 10 μg/m3 increase of PM10. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20pollution" title="air pollution">air pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=respiratory%20diseases" title=" respiratory diseases"> respiratory diseases</a>, <a href="https://publications.waset.org/abstracts/search?q=airQ2.2.3" title=" airQ2.2.3"> airQ2.2.3</a>, <a href="https://publications.waset.org/abstracts/search?q=Makkah" title=" Makkah"> Makkah</a> </p> <a href="https://publications.waset.org/abstracts/28213/risk-assessment-of-particulate-matter-pm10-in-makkah-saudi-arabia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28213.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">453</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">319</span> Study of the Behavior of PM₁₀ and SO₂ in the Urban Atmosphere of Sfax: Influence of Anthropised Contributions and Special Meteorological Conditions, 2008 </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Allagui%20Mohamed">Allagui Mohamed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study of the temporal variation of the PM10 and the SO₂ in the area of Sfax during the year of 2008, showed very significant fluctuations of the contents. They depend on the transmitting sources and the weather conditions. The study of the evolutionary behavior of the PM10 and the SO₂ in a situation of the Sirocco revealed the determining influence of the Sahara which was confirmed by its strong enrichment of the atmosphere with particulate matter. The analysis of a situation of breeze of sea highlighted the increase in the contents of the PM10 of agreement with the increase the speed of the marine wind, in particular for the diurnal period, possibly testifying to the enrichment of the aerosol in a considerable maritime component. A situation of anticyclonic winter examined when with it the accumulation of the contents of the PM10 at a rate of 70 μg/m³ showed such concentrations remained weak by comparison with other studies which show contents of about 300 μg/m³. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PM10" title="PM10">PM10</a>, <a href="https://publications.waset.org/abstracts/search?q=sea%20breeze" title=" sea breeze"> sea breeze</a>, <a href="https://publications.waset.org/abstracts/search?q=SO%E2%82%82" title=" SO₂"> SO₂</a>, <a href="https://publications.waset.org/abstracts/search?q=sirocco" title=" sirocco"> sirocco</a>, <a href="https://publications.waset.org/abstracts/search?q=anticyclone" title=" anticyclone"> anticyclone</a> </p> <a href="https://publications.waset.org/abstracts/98284/study-of-the-behavior-of-pm10-and-so2-in-the-urban-atmosphere-of-sfax-influence-of-anthropised-contributions-and-special-meteorological-conditions-2008" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98284.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">126</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">318</span> Improving Indoor Air Quality by Increasing Bio-Based Negative Air Ion Release</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shuye%20Jiang">Shuye Jiang</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Ma"> Ali Ma</a>, <a href="https://publications.waset.org/abstracts/search?q=Srinivasan%20Ramachandran"> Srinivasan Ramachandran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Indoor air quality could be improved through traditional air purifiers. However, they may not be environmental products. Here, a bio-based method was employed to improve indoor air quality by increasing negative air ion (NAI) release from ornamental plants. A total of 60 plant species has been screened by evaluating their ability to release NAIs, from which four candidates were selected to further study. All of them are from the Dracaena or fabids clade. These four candidates were then subjected to survey their ability to reduce the concentration of particulate matter with diameter of 2.5 or 10 microns (PM2.5 and PM10) in the growth chamber. High concentrations of PM2.5 and PM10 were artificially generated by burning a stick of incense for 2 minutes in the closed growth chamber (80cm length × 80cm width × 80cm height), in which the PM2.5 and PM10 concentration were generally around 500 µg/m3 and 1500 µg/m3, respectively. Both PM2.5 and PM10 were naturally reduced to 410 and 670, respectively after two hours in case that no plants were placed inside the chamber. Interestingly, these two sizes of particulars were reduced to 170 µg/m3 and 210 µg/m3, respectively after two hours when plants were placed to the chamber. It took 4 hours for the plants to reduce particular concentration to acceptable level at less than 55 µg/m3 for both PM2.5 and PM10, respectively. However, the PM2.5 and PM10 concentration were still above 200 µg/m3 and 300 µg/m3, respectively after 4 hours in the growth chamber without any plants. These results suggest the contribution of plants to the particulate deposition. However, all of these data are preliminary and the results may be updated by further studies. In addition, the roles of plants in absorbing indoor formaldehyde have also been explored and their absorbing ability is being improved by optimizing their growth conditions and treating with various exogenous agents. Thus, our preliminary studies provide an alternative strategy to improve indoor air quality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bio-based%20method" title="bio-based method">bio-based method</a>, <a href="https://publications.waset.org/abstracts/search?q=indoor%20air" title=" indoor air"> indoor air</a>, <a href="https://publications.waset.org/abstracts/search?q=negative%20air%20ion" title=" negative air ion"> negative air ion</a>, <a href="https://publications.waset.org/abstracts/search?q=particulate%20matter" title=" particulate matter"> particulate matter</a> </p> <a href="https://publications.waset.org/abstracts/77395/improving-indoor-air-quality-by-increasing-bio-based-negative-air-ion-release" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77395.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">166</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">317</span> The Assessment of Particulate Matter Pollution in Kaunas Districts</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Audrius%20Dedele">Audrius Dedele</a>, <a href="https://publications.waset.org/abstracts/search?q=Aukse%20Miskinyte"> Aukse Miskinyte</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Air pollution is a major problem, especially in large cities, causing a variety of environmental issues and a risk to human health effects. In order to observe air quality, to reduce and control air pollution in the city, municipalities are responsible for the creation of air quality management plans, air quality monitoring and emission inventories. Atmospheric dispersion modelling systems, along with monitoring, are powerful tools, which can be used not only for air quality management, but for the assessment of human exposure to air pollution. These models are widely used in epidemiological studies, which try to determine the associations between exposure to air pollution and the adverse health effects. The purpose of this study was to determine the concentration of particulate matter smaller than 10 μm (PM10) in different districts of Kaunas city during winter season. ADMS-Urban dispersion model was used for the simulation of PM10 pollution. The inputs of the model were the characteristics of stationary, traffic and domestic sources, emission data, meteorology and background concentrations were entered in the model. To assess the modelled concentrations of PM10 in Kaunas districts, geographic information system (GIS) was used. More detailed analysis was made using Spatial Analyst tools. The modelling results showed that the average concentration of PM10 during winter season in Kaunas city was 24.8 µg/m3. The highest PM10 levels were determined in Zaliakalnis and Aleksotas districts with are the highest number of individual residential properties, 32.0±5.2 and 28.7±8.2 µg/m3, respectively. The lowest pollution of PM10 was modelled in Petrasiunai district (18.4 µg/m3), which is characterized as commercial and industrial neighbourhood. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20pollution" title="air pollution">air pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=dispersion%20model" title=" dispersion model"> dispersion model</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=Particulate%20matter" title=" Particulate matter"> Particulate matter</a> </p> <a href="https://publications.waset.org/abstracts/61183/the-assessment-of-particulate-matter-pollution-in-kaunas-districts" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61183.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">269</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">316</span> PM₁₀ and PM2.5 Concentrations in Bangkok over Last 10 Years: Implications for Air Quality and Health</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tin%20Thongthammachart">Tin Thongthammachart</a>, <a href="https://publications.waset.org/abstracts/search?q=Wanida%20Jinsart"> Wanida Jinsart</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Atmospheric particulate matter particles with a diameter less than 10 microns (PM₁₀) and less than 2.5 microns (PM₂.₅) have adverse health effect. The impact from PM was studied from both health and regulatory perspective. Ambient PM data was collected over ten years in Bangkok and vicinity areas of Thailand from 2007 to 2017. Statistical models were used to forecast PM concentrations from 2018 to 2020. Monitoring monthly data averaged concentration of PM₁₀ and PM₂.₅ were used as input to forecast the monthly average concentration of PM. The forecasting results were validated by root means square error (RMSE). The predicted results were used to determine hazard risk for the carcinogenic disease. The health risk values were interpolated with GIS with ordinary kriging technique to create hazard maps in Bangkok and vicinity area. GIS-based maps illustrated the variability of PM distribution and high-risk locations. These evaluated results could support national policy for the sake of human health. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PM%E2%82%81%E2%82%80" title="PM₁₀">PM₁₀</a>, <a href="https://publications.waset.org/abstracts/search?q=PM%E2%82%82.%E2%82%85" title=" PM₂.₅"> PM₂.₅</a>, <a href="https://publications.waset.org/abstracts/search?q=statistical%20models" title=" statistical models"> statistical models</a>, <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20particulate%20matter" title=" atmospheric particulate matter"> atmospheric particulate matter</a> </p> <a href="https://publications.waset.org/abstracts/90866/pm10-and-pm25-concentrations-in-bangkok-over-last-10-years-implications-for-air-quality-and-health" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90866.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">159</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">315</span> Deteriorating Ambient Air Quality Resulted from Invasion of Foreign Air Pollutants</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kuo-C.%20Lo">Kuo-C. Lo</a>, <a href="https://publications.waset.org/abstracts/search?q=Chung-H.%20Hung"> Chung-H. Hung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Invasion of foreign air pollutants to deteriorate local air quality has become an emerging international issue of concern. This study aimed to apply meteorological and air quality model, WRF-Chem (V3.1), for simulating and analyzing the phenomenon of forming of high-concentrated particulate matters, PM10 and PM2.5, in ambient air of Taiwan during January 17th to 19th, 2014. The foreign air pollutants were mainly from long-distance transport of air pollutants of China being transported with a strong continental cold high. It was observed that PM10 and PM2.5 peaked as high as 182~588 μg/m3 and 95~165 μg/m3, respectively, in the ambient air of west side of Taiwan. They were about 2~3 folds higher than the usual concentrations of particulate matters in these seasons. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=WRF-Chem" title="WRF-Chem">WRF-Chem</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20pollution" title=" air pollution"> air pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=PM2.5" title=" PM2.5"> PM2.5</a>, <a href="https://publications.waset.org/abstracts/search?q=ambient%20air%20quality" title=" ambient air quality"> ambient air quality</a> </p> <a href="https://publications.waset.org/abstracts/8518/deteriorating-ambient-air-quality-resulted-from-invasion-of-foreign-air-pollutants" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8518.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">459</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">314</span> Deposition of Size Segregated Particulate Matter in Human Respiratory Tract and Their Health Effects in Glass City Residents</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kalpana%20Rajouriya">Kalpana Rajouriya</a>, <a href="https://publications.waset.org/abstracts/search?q=Ajay%20Taneja"> Ajay Taneja</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Particulates are ubiquitous in the air environment and cause serious threats to human beings, such as lung cancer, COPD, and Asthma. Particulates mainly arise from industrial effluent, vehicular emission, and other anthropogenic activities. In the glass industrial city Firozabad, real-time monitoring of size segregated Particulate Matter (PM) and black carbon was done by Aerosol Black Carbon Detector (ABCD) and GRIMM portable aerosol Spectrometer at two different sites in which one site is urban and another is rural. The average mass concentration of size segregated PM during the study period (March & April 2022) was recorded as PM10 (223.73 g/m⁻³), PM5.0 (44.955 g/m⁻³), PM2.5 (59.275 g/m⁻³), PM1.0 (33.02 g/m⁻³), PM0.5 (2.05 g/m⁻³), and PM0.25 (2.99 g/m⁻³). The highest concentration of BC was found in Urban due to the emissions from diesel engines and wood burning, while NO2 was highest at the rural sites. The average concentrations of PM10 (6.08 and 2.73 times) PM2.5 exceeded the NAAQS and WHO guidelines. Particulate Matter deposition and health risk assessment was done by MPPD and USEPA model to know about the particulate matter toxicity in industrial residents. Health risk assessment results showed that Children are most likely to be affected by exposure of PM10 and PM2.5 and may have various non-carcinogenic and carcinogenic diseases. Deposition results inferred that the sensitive exposed population, especially 9 years old children, have high PM deposition as well as visualization and may be at risk of developing health-related problems from exposure to size-segregated PM. They will be discussed during presentation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=particulate%20matter" title="particulate matter">particulate matter</a>, <a href="https://publications.waset.org/abstracts/search?q=black%20carbon" title=" black carbon"> black carbon</a>, <a href="https://publications.waset.org/abstracts/search?q=NO2" title=" NO2"> NO2</a>, <a href="https://publications.waset.org/abstracts/search?q=deposition%20of%20PM" title=" deposition of PM"> deposition of PM</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20risk" title=" health risk"> health risk</a> </p> <a href="https://publications.waset.org/abstracts/173004/deposition-of-size-segregated-particulate-matter-in-human-respiratory-tract-and-their-health-effects-in-glass-city-residents" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173004.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">66</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">313</span> Health Impacts of Size Segregated Particulate Matter and Black Carbon in Industrial Area of Firozabad</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kalpana%20Rajouriya">Kalpana Rajouriya</a>, <a href="https://publications.waset.org/abstracts/search?q=Ajay%20Taneja"> Ajay Taneja</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Particulates are ubiquitous in the air environment and cause serious threats to human beings, such as lung cancer, Chronic obstructive pulmonary disease (COPD), and Asthma. Particulates mainly arise from industrial effluent, vehicular emission, and other anthropogenic activities. In the glass industrial city Firozabad, real-time monitoring (mass as well as a number) of size segregated Particulate Matter (PM) and black carbon was done by Aerosol Black Carbon Detector (ABCD) and GRIMM portable aerosol Spectrometer at two different sites in which one site is urban, and another is rural. The average mass concentration of size segregated PM during the study period (March & April 2022) was recorded as PM₁₀ (223.73 g/m-³), PM₅.₀ (44.955 g/m-³), PM₂.₅ (59.275 g/m-³), PM₁.₀ (33.02 g/m-³), PM₀.₅ (2.05 g/m-³), and PM₀.₂₅ (2.99 g/m- ³). In number mode, PM concentration was found as PM₁₀ (27.46g/m-³), PM₅.₀ (233.48g/m-³), PM₂.₅ (646.61g/m-³), PM₁.₀ (1134.94 g/m-³), PM₀.₅ (14056.04g/m-³), and PM₀.₂₅ (182906.4 g/m-³). The highest concentration of BC was found in Urban due to the emissions from diesel engines and wood burning while NO2 was highest at the rural sites. The concentrations of PM₁₀ and PM₂.₅ exceeded the NAAQS and WHO guidelines. The sensitive, exposed population may be at risk of developing health-related problems from exposure to size-segregated PM and BC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=particulate%20matter" title="particulate matter">particulate matter</a>, <a href="https://publications.waset.org/abstracts/search?q=black%20carbon" title=" black carbon"> black carbon</a>, <a href="https://publications.waset.org/abstracts/search?q=NO2" title=" NO2"> NO2</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20risk" title=" health risk"> health risk</a> </p> <a href="https://publications.waset.org/abstracts/185723/health-impacts-of-size-segregated-particulate-matter-and-black-carbon-in-industrial-area-of-firozabad" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185723.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">39</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">312</span> Microbiological Analysis, Cytotoxic and Genotoxic Effects from Material Captured in PM2.5 and PM10 Filters Used in the Aburrá Valley Air Quality Monitoring Network (Colombia)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carmen%20E.%20Zapata">Carmen E. Zapata</a>, <a href="https://publications.waset.org/abstracts/search?q=Juan%20Bautista"> Juan Bautista</a>, <a href="https://publications.waset.org/abstracts/search?q=Olga%20Montoya"> Olga Montoya</a>, <a href="https://publications.waset.org/abstracts/search?q=Claudia%20Moreno"> Claudia Moreno</a>, <a href="https://publications.waset.org/abstracts/search?q=Marisol%20Suarez"> Marisol Suarez</a>, <a href="https://publications.waset.org/abstracts/search?q=Alejandra%20Betancur"> Alejandra Betancur</a>, <a href="https://publications.waset.org/abstracts/search?q=Duvan%20Nanclares"> Duvan Nanclares</a>, <a href="https://publications.waset.org/abstracts/search?q=Natalia%20A.%20Cano"> Natalia A. Cano</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aims to evaluate the diversity of microorganisms in filters PM2.5 and PM10; and determine the genotoxic and cytotoxic activity of the complex mixture present in PM2.5 filters used in the Aburrá Valley Air Quality Monitoring Network (Colombia). The research results indicate that particulate matter PM2.5 of different monitoring stations are bacteria; however, this study of detection of bacteria and their phylogenetic relationship is not complete evidence to connect the microorganisms with pathogenic or degrading activities of compounds present in the air. Additionally, it was demonstrated the damage induced by the particulate material in the cell membrane, lysosomal and endosomal membrane and in the mitochondrial metabolism; this damage was independent of the PM2.5 concentrations in almost all the cases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cytotoxic" title="cytotoxic">cytotoxic</a>, <a href="https://publications.waset.org/abstracts/search?q=genotoxic" title=" genotoxic"> genotoxic</a>, <a href="https://publications.waset.org/abstracts/search?q=microbiological%20analysis" title=" microbiological analysis"> microbiological analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=PM10" title=" PM10"> PM10</a>, <a href="https://publications.waset.org/abstracts/search?q=PM2.5" title=" PM2.5"> PM2.5</a> </p> <a href="https://publications.waset.org/abstracts/49590/microbiological-analysis-cytotoxic-and-genotoxic-effects-from-material-captured-in-pm25-and-pm10-filters-used-in-the-aburra-valley-air-quality-monitoring-network-colombia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49590.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">348</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">311</span> PM10 Prediction and Forecasting Using CART: A Case Study for Pleven, Bulgaria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Snezhana%20G.%20Gocheva-Ilieva">Snezhana G. Gocheva-Ilieva</a>, <a href="https://publications.waset.org/abstracts/search?q=Maya%20P.%20Stoimenova"> Maya P. Stoimenova </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ambient air pollution with fine particulate matter (PM10) is a systematic permanent problem in many countries around the world. The accumulation of a large number of measurements of both the PM10 concentrations and the accompanying atmospheric factors allow for their statistical modeling to detect dependencies and forecast future pollution. This study applies the classification and regression trees (CART) method for building and analyzing PM10 models. In the empirical study, average daily air data for the city of Pleven, Bulgaria for a period of 5 years are used. Predictors in the models are seven meteorological variables, time variables, as well as lagged PM10 variables and some lagged meteorological variables, delayed by 1 or 2 days with respect to the initial time series, respectively. The degree of influence of the predictors in the models is determined. The selected best CART models are used to forecast future PM10 concentrations for two days ahead after the last date in the modeling procedure and show very accurate results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cross-validation" title="cross-validation">cross-validation</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20tree" title=" decision tree"> decision tree</a>, <a href="https://publications.waset.org/abstracts/search?q=lagged%20variables" title=" lagged variables"> lagged variables</a>, <a href="https://publications.waset.org/abstracts/search?q=short-term%20forecasting" title=" short-term forecasting"> short-term forecasting</a> </p> <a href="https://publications.waset.org/abstracts/91989/pm10-prediction-and-forecasting-using-cart-a-case-study-for-pleven-bulgaria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91989.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">194</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">310</span> Accumulation of PM10 and Associated Metals Due to Opencast Coal Mining Activities and Their Impact on Human Health</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arundhuti%20Devi">Arundhuti Devi</a>, <a href="https://publications.waset.org/abstracts/search?q=Gitumani%20Devi"> Gitumani Devi</a>, <a href="https://publications.waset.org/abstracts/search?q=Krishna%20G.%20Bhattacharyya"> Krishna G. Bhattacharyya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The goal of this study was to assess the characteristics of the airborne dust created by opencast coal mining and its relation to population hospitalization risk for skin and lung diseases in Margherita Coalfield, Assam, India. Air samples were collected for 24 h in three 8-h periods. For the collection of particulate matter (PM10) and total suspended particulate matter (SPM) samples, respiratory dust samplers with glass microfiber filter papers were used. PM10 was analyzed for Cu, Cd, Cr, Mn, Zn, Ni, Fe and Pb with Flame Atomic Absorption Spectrophotometer (FAAS). SPM and PM10 concentrations were respectively found to be as high as 1,035 and 265.85 μg/m³ in work zone air. The concentration of metals associated with PM10 showed values higher than the permissible limits. It was observed that the average concentrations of the metals Fe, Pb, Ni, Zn, and Cu were very high during the winter month of December, those of Cd and Cr were high during the month of May and Mn was high during February. The morphology of the particles studied with scanning electron microscopy (SEM) gave significant results. Due to opencast coal mining, the air in the work zone, as well as the general ambient air, was found to be highly polluted with respect to dust. More than 8000 patient records maintained by the hospital authority were collected from three hospitals in the area. The highest percentage of people suffering from lung diseases are found in Margherita Civil Hospital (~26.77%) whereas most people suffering from skin diseases reported for treatment in the ESIC hospital (47.47%). Both PM10 and SPM were alarmingly high, and the results were in conformity with the high incidence of lung and other respiratory diseases in the study area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=heavy%20metals" title="heavy metals">heavy metals</a>, <a href="https://publications.waset.org/abstracts/search?q=open%20cast%20coal%20mining" title=" open cast coal mining"> open cast coal mining</a>, <a href="https://publications.waset.org/abstracts/search?q=PM10" title=" PM10"> PM10</a>, <a href="https://publications.waset.org/abstracts/search?q=respiratory%20diseases" title=" respiratory diseases"> respiratory diseases</a> </p> <a href="https://publications.waset.org/abstracts/65518/accumulation-of-pm10-and-associated-metals-due-to-opencast-coal-mining-activities-and-their-impact-on-human-health" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65518.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">316</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">309</span> Daily Variations of Polycyclic Aromatic Hydrocarbons (PAHs) in Industrial Sites in an Suburban Area of Sour El Ghozlane, Algeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sidali%20Khedidji">Sidali Khedidji</a>, <a href="https://publications.waset.org/abstracts/search?q=Noureddine%20Yassaa"> Noureddine Yassaa</a>, <a href="https://publications.waset.org/abstracts/search?q=Riad%20Ladji"> Riad Ladji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, n-alkanes which are hazardous for the environment and human health were investigated in Sour El Ghozlane suburban atmosphere at a sampling point from April 2013 to Mai 2013. Ambient concentration measurements of n-Alkanes were carried out at a regional study of the cement industry in Sour El Ghozlane. During sampling, the airborne particulate matter was enriched onto PTFE filters by using a two medium volume samplers with or without a size-selective inlet for PM10 and TSP were used and each sampling period lasted approximately 24 h. The organic compounds were characterized using gas chromatography coupled with mass spectrometric detection (GC-MS). Total concentrations for n-Alkanes recorded in Sour El Ghozlane suburban ranged from 42 to 69 ng m-3. Gravimeter method was applied to the black smoke concentration data for Springer seasons. The 24 h average concentrations of n-alkanes contain the PM10 and TSP of Sour El Ghozlane suburban atmosphere were found in the range 0.50–7.06 ng/m3 and 0.29–6.97 ng/m3, respectively, in the sampling period. Meteorological factors, such as (relative humidity and temperature) were typically found to be affecting PMs, especially PM10. Air temperature did not seem to be significantly affecting TSP and PM10 mass concentrations. The guide value fixed by the European Community, 40 μg/m3 was not to exceed 35 days, was exceeded in some samples. However, it should be noted that the value limit fixed by the Algerian regulations 80 μg/m3 has been exceeded in 1 sampler during the period study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=n-alkanes" title="n-alkanes">n-alkanes</a>, <a href="https://publications.waset.org/abstracts/search?q=PM10" title=" PM10"> PM10</a>, <a href="https://publications.waset.org/abstracts/search?q=TSP" title=" TSP"> TSP</a>, <a href="https://publications.waset.org/abstracts/search?q=particulate%20matter" title=" particulate matter"> particulate matter</a>, <a href="https://publications.waset.org/abstracts/search?q=cement%20industry" title=" cement industry"> cement industry</a> </p> <a href="https://publications.waset.org/abstracts/17744/daily-variations-of-polycyclic-aromatic-hydrocarbons-pahs-in-industrial-sites-in-an-suburban-area-of-sour-el-ghozlane-algeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17744.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">393</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">308</span> A Comparison of Air Quality in Arid and Temperate Climatic Conditions – a Case Study of Leeds and Makkah</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Turki%20M.%20Habeebullah">Turki M. Habeebullah</a>, <a href="https://publications.waset.org/abstracts/search?q=Said%20Munir"> Said Munir</a>, <a href="https://publications.waset.org/abstracts/search?q=Karl%20Ropkins"> Karl Ropkins</a>, <a href="https://publications.waset.org/abstracts/search?q=Essam%20A.%20Morsy"> Essam A. Morsy</a>, <a href="https://publications.waset.org/abstracts/search?q=Atef%20M.%20F.%20Mohammed"> Atef M. F. Mohammed</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdulaziz%20R.%20Seroji"> Abdulaziz R. Seroji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper air quality conditions in Makkah and Leeds are compared. These two cities have totally different climatic conditions. Makkah climate is characterised as hot and dry (arid) whereas that of Leeds is characterised as cold and wet (temperate). This study uses air quality data from year 2012 collected in Makkah, Saudi Arabia and Leeds, UK. The concentrations of all pollutants, except NO are higher in Makkah. Most notable, the concentrations of PM10 are much higher in Makkah than in Leeds. This is probably due to the arid nature of climatic conditions in Makkah and not solely due to anthropogenic emission sources, otherwise like PM10 some of the other pollutants, such as CO, NO, and SO2 would have shown much greater difference between Leeds and Makkah. Correlation analysis is performed between different pollutants at the same site and the same pollutants at different sites. In Leeds the correlation between PM10 and other pollutants is significantly stronger than in Makkah. Weaker correlation in Makkah is probably due to the fact that in Makkah most of the gaseous pollutants are emitted by combustion processes, whereas most of the PM10 is generated by other sources, such as windblown dust, re-suspension, and construction activities. This is in contrast to Leeds where all pollutants including PM10 are predominantly emitted by combustions, such as road traffic. Furthermore, in Leeds frequent rains wash out most of the atmospheric particulate matter and supress re-suspension of dust. Temporal trends of various pollutants are compared and discussed. This study emphasises the role of climatic conditions in managing air quality, and hence the need for region-specific controlling strategies according to the local climatic and meteorological conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20pollution" title="air pollution">air pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=climatic%20conditions" title=" climatic conditions"> climatic conditions</a>, <a href="https://publications.waset.org/abstracts/search?q=particulate%20matter" title=" particulate matter"> particulate matter</a>, <a href="https://publications.waset.org/abstracts/search?q=Makkah" title=" Makkah"> Makkah</a>, <a href="https://publications.waset.org/abstracts/search?q=Leeds" title=" Leeds"> Leeds</a> </p> <a href="https://publications.waset.org/abstracts/19619/a-comparison-of-air-quality-in-arid-and-temperate-climatic-conditions-a-case-study-of-leeds-and-makkah" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19619.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">470</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">307</span> Study of Ambient Air Quality on Building's Roof of Dhaka City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Koninika%20Tanzim">Koninika Tanzim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The gaseous pollutants, SO2, NO2, CO and O3 affect the environment of Dhaka City. These pollutants are mainly released from stationary sources, like, fossil-fueled, power plants, industrial units and brickfields around the city. Suspended particulate matters including PM10 and PM2.5 are also contributing to air pollution in Dhaka City. SO2, NO2 and O3 are determined by using UV and visible spectrophotometry. The sensor type devised has been used for the determination of CO in ambient air. Lead in the suspended particulate matter was determined by using atomic absorption spectrometry. The samples were collected at ground level and on the roof of a seven-storied building. For all the criteria pollutants, the concentration at the roof was found to the lower than that at the ground level. The average concentration of PM10 and PM2.5 were found to the 241.5 and 81.1 mg/m3 at the ground level. On the roof of a 7 storied building was however 49.99 mg/m3 and 25.88 mg/m3 for PM10 and PM2.5 respectively. The concentration of Pb varied from 0.011 to 0.04 mg/m3 at the ground level. The values for Pb at the roof level were significantly lower. The values for SO2, NO2, CO and O3 were found to be higher than the USEPA values. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gaseous%20air%20pollutant" title="gaseous air pollutant">gaseous air pollutant</a>, <a href="https://publications.waset.org/abstracts/search?q=PM" title=" PM"> PM</a>, <a href="https://publications.waset.org/abstracts/search?q=lead" title=" lead"> lead</a>, <a href="https://publications.waset.org/abstracts/search?q=gravimetry" title=" gravimetry"> gravimetry</a>, <a href="https://publications.waset.org/abstracts/search?q=spectrophotometry" title=" spectrophotometry"> spectrophotometry</a>, <a href="https://publications.waset.org/abstracts/search?q=atomic%20absorption" title=" atomic absorption"> atomic absorption</a>, <a href="https://publications.waset.org/abstracts/search?q=ambient%20air%20quality" title=" ambient air quality"> ambient air quality</a> </p> <a href="https://publications.waset.org/abstracts/33302/study-of-ambient-air-quality-on-buildings-roof-of-dhaka-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33302.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">419</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">306</span> The Association between Saharran Dust and Emergency Department Admission and Hospitalization in Gaziantep, Turkey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Behcet%20Al">Behcet Al</a>, <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Bogan"> Mustafa Bogan</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehmet%20Murat%20Oktay"> Mehmet Murat Oktay</a>, <a href="https://publications.waset.org/abstracts/search?q=Suat%20Zengin"> Suat Zengin</a>, <a href="https://publications.waset.org/abstracts/search?q=Hasan%20Bayram"> Hasan Bayram</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: In the last two decades there is a strong scientific interest regarding the role of aerosols for the Earth’s climate and associated changes. Aerosol particles are very important to the Earth-atmosphere climate system playing a crucial role in cloud and precipitation processes, air quality and climate. Here, we evaluated the association between saharran dust and emergency department admission, hospitalization, and mortality. Method: The records of admission to emergency department of Gaziantep University and the dust stroms of 31 months were studied. Patients admitted to ED at dust strom with chronic obstructive lung disease (COLD), asthma bronchiale (AB), serebrovascular events (SVE), acute myocardial infarction (AMI), stabile and unstabile angina pectoris (SAAP andUSAP); and the days with and without dust stroms were included. The study was realized from March 2010 to October 2012. The admission of three days before strom (group 1), during strom days (group 2) and three days after strom (group 3) were determined. The mean level of dust PM10 particulate was calculated, and the results were compared. Results: 5864 patients with chronic obstructive lung disease, asthma bronchiale, serebrovascular events, acute myocardial infarction, stabile and unstabile angyina pectoris admitted during the days with and without dust stroms. 28 dust stroms ocurred during 31 months. The totaliy of stroms continiued 78 days. Of admissions, 35.5% (n=2075) were in group1, 29.8% (n=1746) in group 2, and 34.8% (n=2043) were in group 3. The mean of PM10 for groups (group 1, 2 and 3) were 78.53 mg/m3 (range 19–276) particulate, 108.7 mg/m3 (range 34–631) particulate, and 60.9 mg/m3 (range 17–160) particulate respectively. The mean admission per a day for groups were 24.86, 22.55, and 24.50 respectively. The mortality was 12 in group 1, 12 in group 2, and 17 in grou 3. The hospitalization ratio for groups were 0.24, 0.27, and 0.27 respectively. Conclusion: However, the mean level of PM10 particulate for groups 2 (in dust strom days) is significantly higher (p=0.001) than the days before (group 1) and after (group 3) dust stroms, the mean admissions/day, hostilalization and mortality related to deseases (COLD, AB, SVE, AMI, SAAP andUSA) for group 2 is lower than the group 1 and group 3. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saharran%20dust" title="Saharran dust">Saharran dust</a>, <a href="https://publications.waset.org/abstracts/search?q=PM10%20particulate" title=" PM10 particulate"> PM10 particulate</a>, <a href="https://publications.waset.org/abstracts/search?q=emergency%20department%20admission" title=" emergency department admission"> emergency department admission</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a> </p> <a href="https://publications.waset.org/abstracts/12351/the-association-between-saharran-dust-and-emergency-department-admission-and-hospitalization-in-gaziantep-turkey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12351.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">396</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">305</span> Analysis and Prediction of Fine Particulate Matter in the Air Environment for 2007-2020 in Bangkok Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Phawichsak%20Prapassornpitaya">Phawichsak Prapassornpitaya</a>, <a href="https://publications.waset.org/abstracts/search?q=Wanida%20Jinsart"> Wanida Jinsart</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Daily monitoring PM₁₀ and PM₂.₅ data from 2007 to 2017 were analyzed to provide baseline data for prediction of the air pollution in Bangkok in the period of 2018 -2020. Two statistical models, Autoregressive Integrated Moving Average model (ARIMA) were used to evaluate the trends of pollutions. The prediction concentrations were tested by root means square error (RMSE) and index of agreement (IOA). This evaluation of the traffic PM₂.₅ and PM₁₀ were studied in association with the regulatory control and emission standard changes. The emission factors of particulate matter from diesel vehicles were decreased when applied higher number of euro standard. The trends of ambient air pollutions were expected to decrease. However, the Bangkok smog episode in February 2018 with temperature inversion caused high concentration of PM₂.₅ in the air environment of Bangkok. The impact of traffic pollutants was depended upon the emission sources, temperature variations, and metrological conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fine%20particulate%20matter" title="fine particulate matter">fine particulate matter</a>, <a href="https://publications.waset.org/abstracts/search?q=ARIMA" title=" ARIMA"> ARIMA</a>, <a href="https://publications.waset.org/abstracts/search?q=RMSE" title=" RMSE"> RMSE</a>, <a href="https://publications.waset.org/abstracts/search?q=Bangkok" title=" Bangkok"> Bangkok</a> </p> <a href="https://publications.waset.org/abstracts/90925/analysis-and-prediction-of-fine-particulate-matter-in-the-air-environment-for-2007-2020-in-bangkok-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90925.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">278</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">304</span> Estimation of PM10 Concentration Using Ground Measurements and Landsat 8 OLI Satellite Image</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Salah%20Abdul%20Hameed%20Saleh">Salah Abdul Hameed Saleh</a>, <a href="https://publications.waset.org/abstracts/search?q=Ghada%20Hasan"> Ghada Hasan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this work is to produce an empirical model for the determination of particulate matter (PM10) concentration in the atmosphere using visible bands of Landsat 8 OLI satellite image over Kirkuk city- IRAQ. The suggested algorithm is established on the aerosol optical reflectance model. The reflectance model is a function of the optical properties of the atmosphere, which can be related to its concentrations. The concentration of PM10 measurements was collected using Particle Mass Profiler and Counter in a Single Handheld Unit (Aerocet 531) meter simultaneously by the Landsat 8 OLI satellite image date. The PM10 measurement locations were defined by a handheld global positioning system (GPS). The obtained reflectance values for visible bands (Coastal aerosol, Blue, Green and blue bands) of landsat 8 OLI image were correlated with in-suite measured PM10. The feasibility of the proposed algorithms was investigated based on the correlation coefficient (R) and root-mean-square error (RMSE) compared with the PM10 ground measurement data. A choice of our proposed multispectral model was founded on the highest value correlation coefficient (R) and lowest value of the root mean square error (RMSE) with PM10 ground data. The outcomes of this research showed that visible bands of Landsat 8 OLI were capable of calculating PM10 concentration with an acceptable level of accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20pollution" title="air pollution">air pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=PM10%20concentration" title=" PM10 concentration"> PM10 concentration</a>, <a href="https://publications.waset.org/abstracts/search?q=Lansat8%20OLI%20image" title=" Lansat8 OLI image"> Lansat8 OLI image</a>, <a href="https://publications.waset.org/abstracts/search?q=reflectance" title=" reflectance"> reflectance</a>, <a href="https://publications.waset.org/abstracts/search?q=multispectral%20algorithms" title=" multispectral algorithms"> multispectral algorithms</a>, <a href="https://publications.waset.org/abstracts/search?q=Kirkuk%20area" title=" Kirkuk area"> Kirkuk area</a> </p> <a href="https://publications.waset.org/abstracts/19705/estimation-of-pm10-concentration-using-ground-measurements-and-landsat-8-oli-satellite-image" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19705.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">442</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">303</span> Distribution and Segregation of Aerosols in Ambient Air </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Ramteke">S. Ramteke</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20S.%20Patel"> K. S. Patel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aerosols are complex mixture of particulate matters (PM) inclusive of carbons, silica, elements, various salts, etc. Aerosols get deep into the human lungs and cause a broad range of health effects, in particular, respiratory and cardiovascular illnesses. They are one of the major culprits for the climate change. They are emitted by the high thermal processes i.e. vehicles, steel, sponge, cement, thermal power plants, etc. Raipur (22˚33'N to 21˚14'N and 82˚6'E) to 81˚38'E) is a growing industrial city in central India with population of two million. In this work, the distribution of inorganics (i.e. Cl⁻, NO³⁻, SO₄²⁻, NH₄⁺, Na⁺, K⁺, Mg²⁺, Ca²⁺, Al, Cr, Mn, Fe, Ni, Cu, Zn, and Pb) associated to the PM in the ambient air is described. The PM₁₀ in ambient air of Raipur city was collected for duration of one year (December 2014 - December 2015). The PM₁₀ was segregated into nine modes i.e. PM₁₀.₀₋₉.₀, PM₉.₀₋₅.₈, PM₅.₈₋₄.₇, PM₄.₇₋₃.₃, PM₃.₃₋₂.₁, PM₂.₁₋₁.₁, PM₁.₁₋₀.₇, PM₀.₇₋₀.₄ and PM₀.₄ to know their emission sources and health hazards. The analysis of ions and metals was carried out by techniques i.e. ion chromatography and TXRF. The PM₁₀ concentration (n=48) was ranged from 100-450 µg/m³ with mean value of 73.57±20.82 µg/m³. The highest concentration of PM₄.₇₋₃.₃, PM₂.₁₋₁.₁, PM₁.₁₋₀.₇ was observed in the commercial, residential and industrial area, respectively. The effect of meteorology i.e. temperature, humidity, wind speed and wind direction in the PM₁₀ and associated elemental concentration in the air is discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ambient%20aerosol" title="ambient aerosol">ambient aerosol</a>, <a href="https://publications.waset.org/abstracts/search?q=ions" title=" ions"> ions</a>, <a href="https://publications.waset.org/abstracts/search?q=metals" title=" metals"> metals</a>, <a href="https://publications.waset.org/abstracts/search?q=segregation" title=" segregation"> segregation</a> </p> <a href="https://publications.waset.org/abstracts/75865/distribution-and-segregation-of-aerosols-in-ambient-air" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75865.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">200</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">302</span> A Wireless Sensor System for Continuous Monitoring of Particulate Air Pollution</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Yawootti">A. Yawootti</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Intra"> P. Intra</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Sardyoung"> P. Sardyoung</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Phoosomma"> P. Phoosomma</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Puttipattanasak">R. Puttipattanasak</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Leeragreephol"> S. Leeragreephol</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Tippayawong"> N. Tippayawong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this work is to design, develop and test the low-cost implementation of a particulate air pollution sensor system for continuous monitoring of outdoors and indoors particulate air pollution at a lower cost than existing instruments. In this study, measuring electrostatic charge of particles technique via high efficiency particulate-free air filter was carried out. The developed detector consists of a PM10 impactor, a particle charger, a Faraday cup electrometer, a flow meter and controller, a vacuum pump, a DC high voltage power supply and a data processing and control unit. It was reported that the developed detector was capable of measuring mass concentration of particulate ranging from 0 to 500 µg/m3 corresponding to number concentration of particulate ranging from 106 to 1012 particles/m3 with measurement time less than 1 sec. The measurement data of the sensor connects to the internet through a GSM connection to a public cellular network. In this development, the apparatus was applied the energy by a 12 V, 7 A internal battery for continuous measurement of about 20 hours. Finally, the developed apparatus was found to be close agreement with the import standard instrument, portable and benefit for air pollution and particulate matter measurements. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=particulate" title="particulate">particulate</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20pollution" title=" air pollution"> air pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20communication" title=" wireless communication"> wireless communication</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor" title=" sensor"> sensor</a> </p> <a href="https://publications.waset.org/abstracts/29085/a-wireless-sensor-system-for-continuous-monitoring-of-particulate-air-pollution" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29085.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">367</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">301</span> Assessment the Implications of Regional Transport and Local Emission Sources for Mitigating Particulate Matter in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ruchirek%20Ratchaburi">Ruchirek Ratchaburi</a>, <a href="https://publications.waset.org/abstracts/search?q=W.%20Kevin.%20Hicks"> W. Kevin. Hicks</a>, <a href="https://publications.waset.org/abstracts/search?q=Christopher%20S.%20Malley"> Christopher S. Malley</a>, <a href="https://publications.waset.org/abstracts/search?q=Lisa%20D.%20Emberson"> Lisa D. Emberson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Air pollution problems in Thailand have improved over the last few decades, but in some areas, concentrations of coarse particulate matter (PM₁₀) are above health and regulatory guidelines. It is, therefore, useful to investigate how PM₁₀ varies across Thailand, what conditions cause this variation, and how could PM₁₀ concentrations be reduced. This research uses data collected by the Thailand Pollution Control Department (PCD) from 17 monitoring sites, located across 12 provinces, and obtained between 2011 and 2015 to assess PM₁₀ concentrations and the conditions that lead to different levels of pollution. This is achieved through exploration of air mass pathways using trajectory analysis, used in conjunction with the monitoring data, to understand the contribution of different months, an hour of the day and source regions to annual PM₁₀ concentrations in Thailand. A focus is placed on locations that exceed the national standard for the protection of human health. The analysis shows how this approach can be used to explore the influence of biomass burning on annual average PM₁₀ concentration and the difference in air pollution conditions between Northern and Southern Thailand. The results demonstrate the substantial contribution that open biomass burning from agriculture and forest fires in Thailand and neighboring countries make annual average PM₁₀ concentrations. The analysis of PM₁₀ measurements at monitoring sites in Northern Thailand show that in general, high concentrations tend to occur in March and that these particularly high monthly concentrations make a substantial contribution to the overall annual average concentration. In 2011, a > 75% reduction in the extent of biomass burning in Northern Thailand and in neighboring countries resulted in a substantial reduction not only in the magnitude and frequency of peak PM₁₀ concentrations but also in annual average PM₁₀ concentrations at sites across Northern Thailand. In Southern Thailand, the annual average PM₁₀ concentrations for individual years between 2011 and 2015 did not exceed the human health standard at any site. The highest peak concentrations in Southern Thailand were much lower than for Northern Thailand for all sites. The peak concentrations at sites in Southern Thailand generally occurred between June and October and were associated with air mass back trajectories that spent a substantial proportion of time over the sea, Indonesia, Malaysia, and Thailand prior to arrival at the monitoring sites. The results show that emissions reductions from biomass burning and forest fires require action on national and international scales, in both Thailand and neighboring countries, such action could contribute to ensuring compliance with Thailand air quality standards. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=annual%20average%20concentration" title="annual average concentration">annual average concentration</a>, <a href="https://publications.waset.org/abstracts/search?q=long-range%20transport" title=" long-range transport"> long-range transport</a>, <a href="https://publications.waset.org/abstracts/search?q=open%20biomass%20burning" title=" open biomass burning"> open biomass burning</a>, <a href="https://publications.waset.org/abstracts/search?q=particulate%20matter" title=" particulate matter"> particulate matter</a> </p> <a href="https://publications.waset.org/abstracts/89557/assessment-the-implications-of-regional-transport-and-local-emission-sources-for-mitigating-particulate-matter-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89557.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">183</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">300</span> Indoor and Outdoor Concentration of PM₁₀, PM₂.₅ and PM₁ in Residential Building and Evaluation of Negative Air Ions (NAIs) in Indoor PM Removal</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hossein%20Arfaeinia">Hossein Arfaeinia</a>, <a href="https://publications.waset.org/abstracts/search?q=Azam%20Nadali"> Azam Nadali</a>, <a href="https://publications.waset.org/abstracts/search?q=Zahra%20Asadgol"> Zahra Asadgol</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Fahiminia"> Mohammad Fahiminia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Indoor and outdoor particulate matters (PM) were monitored in 20 residential buildings in a two-part study. In part I, the levels of indoor and outdoor PM₁₀, PM₂.₅ and PM₁ was measured using real time GRIMM dust monitors. In part II, the effect of negative air ions (NAIs) method was investigated on the reduction of indoor concentration of PM in these residential buildings. Hourly average concentration and standard deviation (SD) of PM₁₀ in indoor and outdoor at residential buildings were 90.1 ± 33.5 and 63.5 ± 27.4 µg/ m3, respectively. Indoor and outdoor concentrations of PM₂.₅ in residential buildings were 49.5 ± 18.2 and 39.4± 18.1 µg/ m3 and for PM₁ the concentrations were 6.5 ± 10.1and 4.3 ± 7.7 µg/ m3, respectively. Indoor/outdoor (I/O) ratios and concentrations of all size fractions of PM were strongly correlated with wind speed and temperature whereas a good relationship was not observed between humidity and I/O ratios of PM. We estimated that nearly 71.47 % of PM₁₀, 79.86 % of PM₂.₅ and of 61.25 % of PM₁ in indoor of residential buildings can be removed by negative air ions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=particle%20matter%20%28PM%29" title="particle matter (PM)">particle matter (PM)</a>, <a href="https://publications.waset.org/abstracts/search?q=indoor%20air" title=" indoor air"> indoor air</a>, <a href="https://publications.waset.org/abstracts/search?q=negative%20air%20ions%20%28NAIs%29" title=" negative air ions (NAIs)"> negative air ions (NAIs)</a>, <a href="https://publications.waset.org/abstracts/search?q=residential%20building" title=" residential building"> residential building</a> </p> <a href="https://publications.waset.org/abstracts/76064/indoor-and-outdoor-concentration-of-pm10-pm25-and-pm1-in-residential-building-and-evaluation-of-negative-air-ions-nais-in-indoor-pm-removal" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76064.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">256</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">299</span> The Impact of Dust Storm Events on the Chemical and Toxicological Characteristics of Ambient Particulate Matter in Riyadh, Saudi Arabia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulmalik%20Altuwayjiri">Abdulmalik Altuwayjiri</a>, <a href="https://publications.waset.org/abstracts/search?q=Milad%20Pirhadi"> Milad Pirhadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Kalafy"> Mohammed Kalafy</a>, <a href="https://publications.waset.org/abstracts/search?q=Badr%20Alharbi"> Badr Alharbi</a>, <a href="https://publications.waset.org/abstracts/search?q=Constantinos%20Sioutas"> Constantinos Sioutas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, we investigated the chemical and toxicological characteristics of PM10 in the metropolitan area of Riyadh, Saudi Arabia. PM10 samples were collected on quartz and teflon filters during cold (December 2019–April 2020) and warm (May 2020–August 2020) seasons, including dust and non-dust events. The PM10 constituents were chemically analyzed for their metal, inorganic ions, and elemental and organic carbon (EC/OC) contents. Additionally, the PM10 oxidative potential was measured by means of the dithiothreitol (DTT) assay. Our findings revealed that the oxidative potential of the collected ambient PM10 samples was significantly higher than those measured in many urban areas worldwide. The oxidative potential of the collected ambient PM¹⁰⁻ samples was also higher during dust episodes compared to non-dust events, mainly due to higher concentrations of metals during these events. We performed Pearson correlation analysis, principal component analysis (PCA), and multi-linear regression (MLR) to identify the most significant sources contributing to the toxicity of PM¹⁰⁻ The results of the MLR analyses indicated that the major pollution sources contributing to the oxidative potential of ambient PM10 were soil and resuspended dust emissions (identified by Al, K, Fe, and Li) (31%), followed by secondary organic aerosol (SOA) formation (traced by SO₄-² and NH+₄) (20%), and industrial activities (identified by Se and La) (19%), and traffic emissions (characterized by EC, Zn, and Cu) (17%). Results from this study underscore the impact of transported dust emissions on the oxidative potential of ambient PM10 in Riyadh and can be helpful in adopting appropriate public health policies regarding detrimental outcomes of exposure to PM₁₀- <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ambient%20PM10" title="ambient PM10">ambient PM10</a>, <a href="https://publications.waset.org/abstracts/search?q=oxidative%20potential" title=" oxidative potential"> oxidative potential</a>, <a href="https://publications.waset.org/abstracts/search?q=source%20apportionment" title=" source apportionment"> source apportionment</a>, <a href="https://publications.waset.org/abstracts/search?q=Riyadh" title=" Riyadh"> Riyadh</a>, <a href="https://publications.waset.org/abstracts/search?q=dust%20episodes" title=" dust episodes"> dust episodes</a> </p> <a href="https://publications.waset.org/abstracts/145966/the-impact-of-dust-storm-events-on-the-chemical-and-toxicological-characteristics-of-ambient-particulate-matter-in-riyadh-saudi-arabia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145966.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">172</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">298</span> Evaluation of the Impact of Green Infrastructure on Dispersion and Deposition of Particulate Matter in Near-Roadway Areas</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deeksha%20Chauhan">Deeksha Chauhan</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamal%20Jain"> Kamal Jain</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Pollutant concentration is high in near-road environments, and vegetation is an effective measure to mitigate urban air quality problems. This paper presents the influence of roadside green infrastructure in dispersion and Deposition of Particulate matter (PM) by the ENVI-met Simulations. Six green infrastructure configurations were specified (i) hedges only, (ii) trees only, (iii) a mix of trees and shrubs (iv) green barrier (v) green wall, and (vi) no tree buffer were placed on both sides of the road. The changes in concentrations at all six scenarios were estimated to identify the best barrier to reduce the dispersion and deposition of PM10 and PM2.5 in an urban environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=barrier" title="barrier">barrier</a>, <a href="https://publications.waset.org/abstracts/search?q=concentration" title=" concentration"> concentration</a>, <a href="https://publications.waset.org/abstracts/search?q=dispersion" title=" dispersion"> dispersion</a>, <a href="https://publications.waset.org/abstracts/search?q=deposition" title=" deposition"> deposition</a>, <a href="https://publications.waset.org/abstracts/search?q=Particulate%20matter" title=" Particulate matter"> Particulate matter</a>, <a href="https://publications.waset.org/abstracts/search?q=pollutant" title=" pollutant"> pollutant</a> </p> <a href="https://publications.waset.org/abstracts/127902/evaluation-of-the-impact-of-green-infrastructure-on-dispersion-and-deposition-of-particulate-matter-in-near-roadway-areas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/127902.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">146</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">297</span> Assessment of Air Quality Status Using Pollution Indicators in Industrial Zone of Brega City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tawfig%20Falani">Tawfig Falani</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdulalaziz%20Saleh"> Abdulalaziz Saleh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Air pollution has become a major environmental issue with definitive repercussions on human health. Global concerns have been raised about the health effects of deteriorating air quality due mainly to widespread industrialization and urbanization. To assess the quality of air in Brega, air quality indicators were calculated using the U.S. Environmental Protection Agency procedure. Air quality was monitored from 01/10/2019 to 28/02/2021 with a daily average measuring six pollutants of particulate matter <2.5µm (PM2.5), and <10µm (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), ozone (O₃), and carbon monoxide (CO). The result indicated that air pollution at general air quality monitoring sites for sulphur dioxide, carbon monoxide, PM₁₀ and PM2.5 and nitrogen dioxide are always within the permissible limit. Referring to a monthly average of Pollutants in the Brega Industrial area, all months were out of AQG limit for NO₂, and the same with O₃ except for two months. For PM2.5 and PM₁₀ 7, 5 out of 17 months were out of limits, respectively. Relative AQI for ozone is found in the range of moderate category of general air pollution, and the worst month was Nov. 2020, which was marked as Very Unhealthy category, then the next two months (Dec. 2020 and Jan. 2021 ) were Unhealthy categories. It's the first time that we have used the AQI in SOC, and not usually used in Libya to identify the quality of air pollution. So, I think it will be useful if AQI is used as guidance for specified air pollution. That dictate putting monitoring stations beside any industrial activity that has emissions of the six major air pollutants. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20quality" title="air quality">air quality</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20pollutants" title=" air pollutants"> air pollutants</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20quality%20index%20%28AQI%29" title=" air quality index (AQI)"> air quality index (AQI)</a>, <a href="https://publications.waset.org/abstracts/search?q=particulate%20matter" title=" particulate matter"> particulate matter</a> </p> <a href="https://publications.waset.org/abstracts/185436/assessment-of-air-quality-status-using-pollution-indicators-in-industrial-zone-of-brega-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185436.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">52</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">296</span> Association between Noise Levels, Particulate Matter Concentrations and Traffic Intensities in a Near-Highway Urban Area</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Javad%20Afroughi">Mohammad Javad Afroughi</a>, <a href="https://publications.waset.org/abstracts/search?q=Vahid%20Hosseini"> Vahid Hosseini</a>, <a href="https://publications.waset.org/abstracts/search?q=Jason%20S.%20Olfert"> Jason S. Olfert</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Both traffic-generated particles and noise have been associated with the development of cardiovascular diseases, especially in near-highway environments. Although noise and particulate matters (PM) have different mechanisms of dispersion, sharing the same emission source in urban areas (road traffics) can result in a similar degree of variability in their levels. This study investigated the temporal variation of and correlation between noise levels, PM concentrations and traffic intensities near a major highway in Tehran, Iran. Tehran particulate concentration is highly influenced by road traffic. Additionally, Tehran ultrafine particles (UFP, PM<0.1 µm) are mostly emitted from combustion processes of motor vehicles. This gives a high possibility of a strong association between traffic-related noise and UFP in near-highway environments of this megacity. Hourly average of equivalent continuous sound pressure level (Leq), total number concentration of UFPs, mass concentration of PM2.5 and PM10, as well as traffic count and speed were simultaneously measured over a period of three days in winter. Additionally, meteorological data including temperature, relative humidity, wind speed and direction were collected in a weather station, located 3 km from the monitoring site. Noise levels showed relatively low temporal variability in near-highway environments compared to PM concentrations. Hourly average of Leq ranged from 63.8 to 69.9 dB(A) (mean ~ 68 dB(A)), while hourly concentration of particles varied from 30,800 to 108,800 cm-3 for UFP (mean ~ 64,500 cm-3), 41 to 75 µg m-3 for PM2.5 (mean ~ 53 µg m-3), and 62 to 112 µg m-3 for PM10 (mean ~ 88 µg m-3). The Pearson correlation coefficient revealed strong relationship between noise and UFP (r ~ 0.61) overall. Under downwind conditions, UFP number concentration showed the strongest association with noise level (r ~ 0.63). The coefficient decreased to a lesser degree under upwind conditions (r ~ 0.24) due to the significant role of wind and humidity in UFP dynamics. Furthermore, PM2.5 and PM10 correlated moderately with noise (r ~ 0.52 and 0.44 respectively). In general, traffic counts were more strongly associated with noise and PM compared to traffic speeds. It was concluded that noise level combined with meteorological data can be used as a proxy to estimate PM concentrations (specifically UFP number concentration) in near-highway environments of Tehran. However, it is important to measure joint variability of noise and particles to study their health effects in epidemiological studies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=noise" title="noise">noise</a>, <a href="https://publications.waset.org/abstracts/search?q=particulate%20matter" title=" particulate matter"> particulate matter</a>, <a href="https://publications.waset.org/abstracts/search?q=PM10" title=" PM10"> PM10</a>, <a href="https://publications.waset.org/abstracts/search?q=PM2.5" title=" PM2.5"> PM2.5</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrafine%20particle" title=" ultrafine particle"> ultrafine particle</a> </p> <a href="https://publications.waset.org/abstracts/77136/association-between-noise-levels-particulate-matter-concentrations-and-traffic-intensities-in-a-near-highway-urban-area" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77136.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">194</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">295</span> An Evaluation of Air Pollutant Concentrations in Gyor, Hungary</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andrea%20Szabo%20Nagy">Andrea Szabo Nagy</a>, <a href="https://publications.waset.org/abstracts/search?q=Zsofia%20Csanadi"> Zsofia Csanadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study was to evaluate the concentration levels of common inorganic gases, benzene and particulate matter (PM₁₀ and PM₂.₅) in ambient air of Győr (Hungary) based on the latest published monitoring data. The concentrations of PM10-bound heavy metals (Pb, Cd, As and Ni) and some polycyclic aromatic hydrocarbons (PAHs) were also assessed. The levels of pollutants were compared with the Hungarian and EU limit or target values defined for health protection and the WHO air quality guidelines (AQGs) or estimated reference levels. Based on the Hungarian or the EU air quality standards and using the Hungarian Air Quality Index it was found that mainly an excellent (SO₂, CO, C₆H₆, heavy metals) or good (NO₂, O₃, PM₁₀, PM₂.₅, benzo(a)pyrene (BaP)) air quality was observed in the urban area of Győr for the year 2016. The annual mean pollutant concentrations (excluding BaP) were not exceeded or just reached the WHO AQGs or reference levels. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aerosols" title="aerosols">aerosols</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20pollutant" title=" air pollutant"> air pollutant</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20quality" title=" air quality"> air quality</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20protection" title=" health protection"> health protection</a> </p> <a href="https://publications.waset.org/abstracts/80201/an-evaluation-of-air-pollutant-concentrations-in-gyor-hungary" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80201.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">204</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">294</span> System Devices to Reduce Particulate Matter Concentrations in Railway Metro Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Armando%20Carten%C3%AC">Armando Cartenì</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Within the design of sustainable transportation engineering, the problem of reducing particulate matter (PM) concentrations in railways metro system was not much discussed. It is well known that PM levels in railways metro system are mainly produced by mechanical friction at the rail-wheel-brake interactions and by the PM re-suspension caused by the turbulence generated by the train passage, which causes dangerous problems for passenger health. Starting from these considerations, the aim of this research was twofold: i) to investigate the particulate matter concentrations in a ‘traditional’ railways metro system; ii) to investigate the particulate matter concentrations of a ‘high quality’ metro system equipped with design devices useful for reducing PM concentrations: platform screen doors, rubber-tyred and an advanced ventilation system. Two measurement surveys were performed: one in the ‘traditional’ metro system of Naples (Italy) and onother in the ‘high quality’ rubber-tyred metro system of Turin (Italy). Experimental results regarding the ‘traditional’ metro system of Naples, show that the average PM10 concentrations measured in the underground station platforms are very high and range between 172 and 262 µg/m3 whilst the average PM2,5 concentrations range between 45 and 60 µg/m3, with dangerous problems for passenger health. By contrast the measurements results regarding the ‘high quality’ metro system of Turin show that: i) the average PM10 (PM2.5) concentrations measured in the underground station platform is 22.7 µg/m3 (16.0 µg/m3) with a standard deviation of 9.6 µg/m3 (7.6 µg/m3); ii) the indoor concentrations (both for PM10 and for PM2.5) are statistically lower from those measured in outdoors (with a ratio equal to 0.9-0.8), meaning that the indoor air quality is greater than those in urban ambient; iii) that PM concentrations in underground stations are correlated to the trains passage; iv) the inside trains concentrations (both for PM10 and for PM2.5) are statistically lower from those measured at station platform (with a ratio equal to 0.7-0.8), meaning that inside trains the use of air conditioning system could promote a greater circulation that clean the air. The comparison among the two case studies allow to conclude that the metro system designed with PM reduction devices allow to reduce PM concentration up to 11 times against a ‘traditional’ one. From these results, it is possible to conclude that PM concentrations measured in a ‘high quality’ metro system are significantly lower than the ones measured in a ‘traditional’ railway metro systems. This result allows possessing the bases for the design of useful devices for retrofitting metro systems all around the world. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20quality" title="air quality">air quality</a>, <a href="https://publications.waset.org/abstracts/search?q=pollutant%20emission" title=" pollutant emission"> pollutant emission</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20in%20public%20transport" title=" quality in public transport"> quality in public transport</a>, <a href="https://publications.waset.org/abstracts/search?q=underground%20railway" title=" underground railway"> underground railway</a>, <a href="https://publications.waset.org/abstracts/search?q=external%20cost%20reduction" title=" external cost reduction"> external cost reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20planning" title=" transportation planning"> transportation planning</a> </p> <a href="https://publications.waset.org/abstracts/70754/system-devices-to-reduce-particulate-matter-concentrations-in-railway-metro-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70754.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">210</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=PM10%20particulate&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=PM10%20particulate&page=3">3</a></li> <li class="page-item"><a class="page-link" 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