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<meta name="description" content="Search results for: PM10"> <meta name="keywords" content="PM10"> <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 navbar-toggler ml-auto" type="button" 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class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="PM10"> <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> 105</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: PM10</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">105</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">104</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">103</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">102</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">101</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">100</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">99</span> Assessment and Prediction of Vehicular Emissions in Commonwealth Avenue, Quezon City at Various Policy and Technology Scenarios Using Simple Interactive Model (SIM-Air)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ria%20M.%20Caramoan">Ria M. Caramoan</a>, <a href="https://publications.waset.org/abstracts/search?q=Analiza%20P.%20Rollon"> Analiza P. Rollon</a>, <a href="https://publications.waset.org/abstracts/search?q=Karl%20N.%20Vergel"> Karl N. Vergel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Simple Interactive Models for Better Air Quality (SIM-air) is an integrated approach model that allows the available information to support the integrated urban air quality management. This study utilized the vehicular air pollution information system module of SIM-air for the assessment of vehicular emissions in Commonwealth Avenue, Quezon City, Philippines. The main objective of the study is to assess and predict the contribution of different types of vehicles to the vehicular emissions in terms of PM₁₀, SOₓ, and NOₓ at different policy and technology scenarios. For the base year 2017, the results show vehicular emissions of 735.46 tons of PM₁₀, 108.90 tons of SOₓ, and 2,101.11 tons of NOₓ. Motorcycle is the major source of particulates contributing about 52% of the PM₁₀ emissions. Meanwhile, Public Utility Jeepneys contribute 27% of SOₓ emissions and private cars using gasoline contribute 39% of NOₓ emissions. Ambient air quality monitoring was also conducted in the study area for the standard parameters of PM₁₀, S0₂, and NO₂. Results show an average of 88.11 µg/Ncm, 47.41 µg/Ncm and 22.54 µg/Ncm for PM₁₀, N0₂, and SO₂, respectively, all were within the DENR National Ambient Air Quality Guideline Values. Future emissions of PM₁₀, NOₓ, and SOₓ are estimated at different scenarios. Results show that in the year 2030, PM₁₀ emissions will be increased by 186.2%. NOₓ emissions and SOₓ emissions will also be increased by 38.9% and 5.5%, without the implementation of the scenarios. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ambient%20air%20quality" title="ambient air quality">ambient air quality</a>, <a href="https://publications.waset.org/abstracts/search?q=emissions%20inventory" title=" emissions inventory"> emissions inventory</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20air%20pollution" title=" mobile air pollution"> mobile air pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicular%20emissions" title=" vehicular emissions"> vehicular emissions</a> </p> <a href="https://publications.waset.org/abstracts/111215/assessment-and-prediction-of-vehicular-emissions-in-commonwealth-avenue-quezon-city-at-various-policy-and-technology-scenarios-using-simple-interactive-model-sim-air" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111215.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">137</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">98</span> The Effect of PM10 Dispersion from Industrial, Residential and Commercial Areas in Arid Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Meshari%20Al-Harbi">Meshari Al-Harbi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A comparative area-season-elemental-wise time series analysis by Dust Track monitor (2012-2013) revealed high PM10 dispersion in the outdoor environment in the sequence of industrial> express highways>residential>open areas. Time series analysis from 7AM-6AM (until next day), 30d (monthly), 3600sec. (for any given period of a month), and 12 months (yearly) showed peak PM10 dispersion during 1AM-7AM, 1d-4d and 25d-31d of every month, 1500-3600 with the exception in PM10 dispersion in residential areas, and in the months-March to June, respectively. This time-bound PM10 dispersion suggests the primary influence of human activities (peak mobility and productivity period for a given time frame) besides the secondary influence of meteorological parameters (high temperature and wind action) and, occasional dust storms. Whereas, gravimetric analysis reveals the influence of precipitation, low temperature and low volatility resulting high trace metals in PM10 during winter than in summer and primarily attributes to the influence of nature besides, the secondary attributes of smoke stack emission from various industries and automobiles. Furthermore, our study recommends residents to limit outdoor air pollution exposures and take precautionary measures to inhale PM10 pollutants from the atmosphere. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aerosol" title="aerosol">aerosol</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution" title=" pollution"> pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=respirable%20particulates" title=" respirable particulates"> respirable particulates</a>, <a href="https://publications.waset.org/abstracts/search?q=trace-metals" title=" trace-metals"> trace-metals</a> </p> <a href="https://publications.waset.org/abstracts/25866/the-effect-of-pm10-dispersion-from-industrial-residential-and-commercial-areas-in-arid-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25866.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">307</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">97</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">96</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">95</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">94</span> Research on Pollutant Characterization and Timing Decomposition in Beijing During the 2018-2022</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gao%20Fangting">Gao Fangting</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the accelerated pace of industrialization and urbanization, the economic level has been significantly improved, and at the same time, the air quality situation has also become a focus of attention, which not only affects people's health but also has certain impacts on the economy and ecology. As the capital city of China, the air quality situation in Beijing has attracted much attention. In this paper, based on the day-by-day PM2.5, PM10, CO, NO₂, SO₂ and O₃ conditions in Beijing from 2018 to 2022, the characterization of pollutants is launched, and the seasonal decomposition and prediction of the main pollutants, PM2.5, PM10 and O3, are performed in STL. The results of the study show that (1) the overall air quality of Beijing has significantly improved from 2018 to 2022, and the main pollutants are PM2.5, PM10, and O₃; (2) the seasonal intensities of the main pollutants are higher, and they are influenced by seasonal factors; and (3) it is predicted that the O₃ concentration will have a trend of slowly increasing from 2023 to 2026, and the PM10 and PM2.5 pollution situation slowly improves. <p class="card-text"><strong>Keywords:</strong> <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=Beijing" title=" Beijing"> Beijing</a>, <a href="https://publications.waset.org/abstracts/search?q=characteristic%20analysis" title=" characteristic analysis"> characteristic analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=STL" title=" STL"> STL</a> </p> <a href="https://publications.waset.org/abstracts/192053/research-on-pollutant-characterization-and-timing-decomposition-in-beijing-during-the-2018-2022" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192053.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">21</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">93</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">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">92</span> Morphological Characteristics and Bioreactivity of Inhalable Particles during the Temple Fair in Kaifeng</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qiao%20Yushuang">Qiao Yushuang</a>, <a href="https://publications.waset.org/abstracts/search?q=Shao%20Longyi"> Shao Longyi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents the result of plasmid assay of inhalable particulates PM10 and PM2.5 that were collected during the period of the 11th Hanyuan temple fair of ancestor worship in Kaifeng City. By use of a high-resolution Field Emission Scanning Electron Microscopy (FESEM) and image analysis (IA) technology, the morphological characteristics and Particle Size Distribution (PSD) of each were analyzed and the Bioreactivity of PM10 was evaluated by using plasmid DNA assay. The result shows that, as the dominant component of the samples taken in the urban area of Kaifeng City, the mineral particles, compared with the other components including the soot aggregates, coal ash, and unidentified particles, have a much greater amount and volume. The mineral particles exhibited a decentralized quantity - size distribution, whose presence could be available among the particles sizing 2.5μm or smaller. In contrast, the volume-size distribution of mineral particles is scattered in a relatively narrow range of between1μm and 2.5μm. According to the plasmid assay the TD50 (toxic dose of PM causing 50% of plasmid damage, expressed in μg/ml) of water-soluble PM10 and whole fraction of Kaifeng airborne PM10 was measured respectively at 220-208μg/ml and 300-400μg/ml versus 160μg/ml and 190μg/ml for PM2.5. It can be seen that the whole fraction of airborne particles caused more oxidative damage than the water-soluble fractions, and the PM2.5 has a greater oxidative capacity than the PM10. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inhalable%20particulates%20%28PM10%20and%20PM2.5%29" title="inhalable particulates (PM10 and PM2.5)">inhalable particulates (PM10 and PM2.5)</a>, <a href="https://publications.waset.org/abstracts/search?q=morphological%20features" title=" morphological features"> morphological features</a>, <a href="https://publications.waset.org/abstracts/search?q=bioreactivity" title=" bioreactivity"> bioreactivity</a>, <a href="https://publications.waset.org/abstracts/search?q=Kaifeng" title=" Kaifeng"> Kaifeng</a> </p> <a href="https://publications.waset.org/abstracts/42806/morphological-characteristics-and-bioreactivity-of-inhalable-particles-during-the-temple-fair-in-kaifeng" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42806.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">91</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">90</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">89</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">88</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">87</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">86</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">85</span> Temporal Variation of PM10-Bound Benzo(a)Pyrene Concentration in an Urban and a Rural Site of Northwestern Hungary</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zs.%20Csan%C3%A1di">Zs. Csanádi</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Szab%C3%B3%20Nagy"> A. Szabó Nagy</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Szab%C3%B3"> J. Szabó</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Erd%C5%91s"> J. Erdős</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main objective of this study was to assess the annual concentration and seasonal variation of benzo(a)pyrene (BaP) associated with PM10 in an urban site of Győr and in a rural site of Sarród in the sampling period of 2008–2012. A total of 280 PM10 aerosol samples were collected in each sampling site and analyzed for BaP by gas chromatography method. The BaP concentrations ranged from undetected to 8 ng/m3 with the mean value of 1.01 ng/m3 in the sampling site of Győr, and from undetected to 4.07 ng/m3 with the mean value of 0.52 ng/m3 in the sampling site of Sarród, respectively. Relatively higher concentrations of BaP were detected in samples collected in both sampling sites in the heating seasons compared with non-heating periods. The annual mean BaP concentrations were comparable with the published data of different other Hungarian sites. <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=benzo%28a%29pyrene" title=" benzo(a)pyrene"> benzo(a)pyrene</a>, <a href="https://publications.waset.org/abstracts/search?q=PAHs" title=" PAHs"> PAHs</a>, <a href="https://publications.waset.org/abstracts/search?q=polycyclic%20aromatic%20hydrocarbons" title=" polycyclic aromatic hydrocarbons"> polycyclic aromatic hydrocarbons</a> </p> <a href="https://publications.waset.org/abstracts/26867/temporal-variation-of-pm10-bound-benzoapyrene-concentration-in-an-urban-and-a-rural-site-of-northwestern-hungary" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26867.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">392</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">84</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">182</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">83</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">82</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">81</span> Seasonal Variation of Polycyclic Aromatic Hydrocarbons Associated with PM10 in Győr, Hungary</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andrea%20Szab%C3%B3%20Nagy">Andrea Szabó Nagy</a>, <a href="https://publications.waset.org/abstracts/search?q=J%C3%A1nos%20Szab%C3%B3"> János Szabó</a>, <a href="https://publications.waset.org/abstracts/search?q=Zs%C3%B3fia%20Csan%C3%A1di"> Zsófia Csanádi</a>, <a href="https://publications.waset.org/abstracts/search?q=J%C3%B3zsef%20Erd%C5%91s"> József Erdős</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main objective of this study was to assess the seasonal variation of atmospheric polycyclic aromatic hydrocarbon (PAH) concentrations associated with PM10 in an urban site of Győr, Hungary. A total of 112 PM10 aerosol samples were collected in the years of 2012 and 2013 and analyzed for PAHs by gas chromatography method. The total PAH concentrations (sum of the concentrations of 19 individual PAH compounds) ranged from 0.19 to 70.16 ng/m3 with the mean value of 12.29 ng/m3. Higher concentrations of both total PAHs and benzo[a]pyrene (BaP) were detected in samples collected in the heating seasons. Using BaP-equivalent potency index on the carcinogenic PAH concentration data, the local population appears to be exposed to significantly higher cancer risk in the heating seasons. However, the comparison of the BaP and total PAH concentrations observed for Győr with other cities it was found that the PAH levels in Győr generally corresponded to the EU average. <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=benzo%5Ba%5Dpyrene" title=" benzo[a]pyrene"> benzo[a]pyrene</a>, <a href="https://publications.waset.org/abstracts/search?q=PAHs" title=" PAHs"> PAHs</a>, <a href="https://publications.waset.org/abstracts/search?q=polycyclic%20aromatic%20hydrocarbons" title=" polycyclic aromatic hydrocarbons"> polycyclic aromatic hydrocarbons</a> </p> <a href="https://publications.waset.org/abstracts/26007/seasonal-variation-of-polycyclic-aromatic-hydrocarbons-associated-with-pm10-in-gyor-hungary" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26007.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">480</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">80</span> Assessment of Pollution of the Rustavi City’s Atmosphere with Microaerosols</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Natia%20Gigauri">Natia Gigauri</a>, <a href="https://publications.waset.org/abstracts/search?q=Aleksandre%20Surmava"> Aleksandre Surmava</a> </p> <p class="card-text"><strong>Abstract:</strong></p> According to observational data, experimental measurements, and numerical modeling, is assessed pollution of one of the industrial centers of Georgia, Rustavi city’s atmosphere with microaerosols. Monthly, daily and hourly changes of the concentrations of PM2.5 and PM10 in the city atmosphere are analyzed. It is accepted that PM2.5 concentrations are always lower than PM10 concentrations, but their change curve is the same. In addition, it has been noted that the maximum concentrations of particles in the atmosphere of Rustavi city will be reached at any part of the day, which is determined by the total impact of the traffic flow and industrial facilities. By numerical modeling has calculated the influence of background western light air and gentle and fresh breeze on the distribution of PM particles in the atmosphere. Calculations showed that background light air and gentle breeze lead to an increase the concentrations of microaerosols in the city's atmosphere, while fresh breeze contribute to the dispersion of dusty clouds. As a result, the level of dust in the city is decreasing, but the distribution area is expanding. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pollution" title="pollution">pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=modelling" title=" modelling"> modelling</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=PM10" title=" PM10"> PM10</a>, <a href="https://publications.waset.org/abstracts/search?q=experimental%20measurement" title=" experimental measurement"> experimental measurement</a> </p> <a href="https://publications.waset.org/abstracts/158479/assessment-of-pollution-of-the-rustavi-citys-atmosphere-with-microaerosols" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158479.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">89</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">79</span> The Impact of Total Dust (LGS) and Mineral Dust (PM 10) in Cardio Vascular and Respiratory System, in Albania: A Longitudinal Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Canga%20Mimoza">Canga Mimoza</a>, <a href="https://publications.waset.org/abstracts/search?q=Irene%20Malagnino"> Irene Malagnino</a>, <a href="https://publications.waset.org/abstracts/search?q=Giulia%20Malagnino"> Giulia Malagnino</a>, <a href="https://publications.waset.org/abstracts/search?q=Vito%20Malagnino"> Vito Malagnino</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aim: This study aims at evaluating the impact of total dust (LGS) and mineral dust (PM10), in the cardio vascular and respiratory systems. Also proving that these air polluters are the cause of several diseases, such as bronchopneumonia, pneumonia, bronchitis, angina pectoris and cardiac insufficiency. Material and Method: The study is concentrated in the cities of Fier and Vlora. This is a clinic-epidemiological study conducted during the time period 2014-2019. Some of the data of LGS and PM10 were obtained from the database of the Institute of Public Health. The formula to measure the mean value of LGS and PM10 is ∆X=X (mean)-Xᵢ. Results: Based on the calculations made, we noticed that: The mean value of LGS in the city of Fieri was 227,33, while the mean value of LGS in the city of Vlora was 177,4. Whereas, the mean value of PM10 in the city of Fieri was 105.5 and the mean value of PM10 in the city of Vlore was 77.5. According to, our statistics the values of LGS were 1.2 times higher in Fier than in Vlora and the PM10 values were 1.36 times higher in Fier than in Vlora. Based on the data, in the city of Fier, the incidence of the bronchopneumonia was 56.53 sick patients/1000 inhabitants, but in Vlora, it was 22 sick patients/1000 inhabitants, so the number of the sick patients was 2.5 times higher in the city of Fieri compared with Vlora city, (P=0.001). The number of the patients with bronchitis, in the city of Fier, was 18 patients/1000 inhabitants, whereas, in Vlora, it was 9 patients/1000 inhabitants, (P=0.005). Based on the data, 8 patients/1000 inhabitants in the city of Fier, suffered from the pneumonia disease, while in Vlora city, were 4 patients/1000 inhabitants, (P=0.005). Another disease taken in consideration was angina pectoris. This study can claim that in the city of Fier, 9.5 patients/1000 inhabitants suffered from this disease, while in Vlora city, were only 4 patients /1000 inhabitants, (P=0.001). Findings of the present study proved that 3.7 patients/1000 inhabitants in the city of Fieri, had cardiac insufficiency, whereas in the city of Vlora, were 1.8 patients/1000 inhabitants, (P=0.05). Conclusions: LGS and PM10 have an influential impact on the cardio vascular and respiratory system; that’s why their levels should be kept under control. The pollution levels are 1.2 and 1.4 times higher in Fier than in Vlora; also the incidences of the diseases are 2 times higher in Fier than in Vlora. Recommendations: In order to prevent the cardio vascular and respiratory diseases, we should avoid places where pollution is higher than the norm. This can be achieved by frequenting places where the air pollution is lower, such as parks, gardens, top floors, etc. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=impact%20of%20total%20dust" title="impact of total dust">impact of total dust</a>, <a href="https://publications.waset.org/abstracts/search?q=LGS" title=" LGS"> LGS</a>, <a href="https://publications.waset.org/abstracts/search?q=mineral%20dust" title=" mineral dust"> mineral dust</a>, <a href="https://publications.waset.org/abstracts/search?q=PM%2010" title=" PM 10"> PM 10</a>, <a href="https://publications.waset.org/abstracts/search?q=cardio%20vascular%20pathologies" title=" cardio vascular pathologies"> cardio vascular pathologies</a>, <a href="https://publications.waset.org/abstracts/search?q=respiratory%20disease" title=" respiratory disease"> respiratory disease</a> </p> <a href="https://publications.waset.org/abstracts/110641/the-impact-of-total-dust-lgs-and-mineral-dust-pm-10-in-cardio-vascular-and-respiratory-system-in-albania-a-longitudinal-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/110641.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">128</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">78</span> Long-Term Monitoring and Seasonal Analysis of PM10-Bound Benzo(a)pyrene in the Ambient Air of Northwestern Hungary</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zs.%20Csan%C3%A1di">Zs. Csanádi</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Szab%C3%B3%20Nagy"> A. Szabó Nagy</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Szab%C3%B3"> J. Szabó</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Erd%C5%91s"> J. Erdős</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Atmospheric aerosols have several important environmental impacts and health effects in point of air quality. Monitoring the PM10-bound polycyclic aromatic hydrocarbons (PAHs) could have important environmental significance and health protection aspects. Benzo(a)pyrene (BaP) is the most relevant indicator of these PAH compounds. In Hungary, the Hungarian Air Quality Network provides air quality monitoring data for several air pollutants including BaP, but these data show only the annual mean concentrations and maximum values. Seasonal variation of BaP concentrations comparing the heating and non-heating periods could have important role and difference as well. For this reason, the main objective of this study was to assess the annual concentration and seasonal variation of BaP associated with PM10 in the ambient air of Northwestern Hungary seven different sampling sites (six urban and one rural) in the sampling period of 2008–2013. A total of 1475 PM10 aerosol samples were collected in the different sampling sites and analyzed for BaP by gas chromatography method. The BaP concentrations ranged from undetected to 8 ng/m3 with the mean value range of 0.50-0.96 ng/m3 referring to all sampling sites. Relatively higher concentrations of BaP were detected in samples collected in each sampling site in the heating seasons compared with non-heating periods. The annual mean BaP concentrations were comparable with the published data of the other Hungarian sites. <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=benzo%28a%29pyrene" title=" benzo(a)pyrene"> benzo(a)pyrene</a>, <a href="https://publications.waset.org/abstracts/search?q=PAHs" title=" PAHs"> PAHs</a>, <a href="https://publications.waset.org/abstracts/search?q=polycyclic%20aromatic%20hydrocarbons" title=" polycyclic aromatic hydrocarbons"> polycyclic aromatic hydrocarbons</a> </p> <a href="https://publications.waset.org/abstracts/49161/long-term-monitoring-and-seasonal-analysis-of-pm10-bound-benzoapyrene-in-the-ambient-air-of-northwestern-hungary" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49161.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">308</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">77</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">417</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">76</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> <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&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=PM10&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=PM10&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=PM10&page=2" rel="next">&rsaquo;</a></li> </ul> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About 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