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var items = innerMenu.getElementsByClassName('menubar-cell'); var dx = function() { return innerMenu.getBoundingClientRect().width - window.innerWidth;}; for (let i = items.length - 1; i >= 0 && dx() >= 0; i--) { items[i].classList.add("no-menu-text"); } }()); } catch (e) { console.error(e) } try { navmenu.init(); } catch (e) {} </script><div class='h1section'><h1><div id='h1header1' style='padding:2px;padding:5px 0;font-family:"Noto Serif",Cambria,"Palatino Linotype","Book Antiqua","URW Palladio L",serif;;;' i18n><br>다른 센서와 예측 모델의 대기질 실험</div></h1></div><script type='text/javascript'> ; if (!isMobileUA) { fitLine('#h1header1',.88,{maxfs:45}); }; </script><style> .section-outer { text-align: initial; } .section-content { max-width: 95%; width: 1100px; font-size: 18px; min-height: 300px; text-align: initial; margin-top: 10px; margin-bottom: 10px; line-height: 1.8; margin-left: auto; margin-right: auto; } .section-content-tight { min-height: 0px; } .section-content-alt { background-color: #f0f0f0; border-top: 1px solid #ccc; border-bottom: 1px solid #ddd } ; .section-banner { background-size: 100%; background: url(https://aqicn.org/images//bluesky-banner-panoramic.jpg) no-repeat center bottom #eee; margin-top: -2px; z-index: -1; border-bottom: 1px solid #888; width: 100%; } .h2-title { font-family: inherit; font-size: 1.1em; overflow: hidden; text-align: center; text-transform: capitalize; } .h2-title:before, .h2-title:after { background-color: #ddd; content: ''; display: inline-block; height: 1px; position: relative; vertical-align: middle; width: 50%; } .h2-title:before { right: 0.5em; margin-left: -50%; } .h2-title:after { left: 0.5em; margin-right: -50%; } @media only screen and (max-width: 800px) { .section-content { line-height: 1.6; max-width: 98%; min-height: 10px; } .section-banner { display: none; } } </style> <div class='whitebody' style='font-family:"Noto Serif",Cambria,"Palatino Linotype","Book Antiqua","URW Palladio L",serif;'><div class='section-outer'><div class='section-content' ><div id="gtrans-div-id" style="float:right" class="gtrans-div"></div><script>try { googleTranslate(); } catch (e) {}</script> <script src='/jscripts/moment/bundle.min.js?_=20200103.150752&type=script'></script><script src='/jscripts/d3/d3.min.js?_=20190418.093123&type=script'></script><script src='/air/view/sensor/js/sensolib.js?_=20200517.131233&type=script'></script><script src='/air/view/sensor/js/sensor-bundle.min.js?_=20220515.202405&type=script'></script><link href='/air/view/sensor/js/sensor-bundle.min.css?_=20190418.093129&type=css' rel='stylesheet'/> <style > .entry-content { line-height: 1.5; } div.entry-content p:first-child:first-letter { float:left; font-size:3em; margin-right:.06em; line-height:90%; } blockquote { background: url(https://aqicn.org/images/blockquote.png) no-repeat; color: #a5a4a4; margin: 30px; padding: 3px 100px 3px 80px; } </style> <div style='float:right;padding-left:20px;text-align:center;max-width:33%;'><br><br><img src='/air/experiments/images/aqi.png' width=300 style='max-width:100%'><br><br><br><img src='/air/experiments/images/pollution.png' width=286 style='max-width:100%'><br><br><br><img src='/air/experiments/images/aqiscale.png' width=300 style='max-width:100%'><br></div><br><div class='entry-content'><p>Air Quality monitoring has existed since the 70's, and surprisingly, the equipement used nowdays is still based on the same technology as in the 70's, i.e Beta Attenation Monitors (aka BAM). Almost 50 years later, in 2014, the progress in technology is now allowing us to use new solutions to monitor the Air Quality, with a quality as good as the BAM monitors, but at a much more affordable cost.<br><br>The <a href='//aqicn.org/'>World Air Quality Index</a> project team is involved in understanding, assessing and verifying those new technologies, and this to ensure that they can realiably replace the more traditional BAM-based setups. In this page, you wil find the list of on-going, planned and concluded experiements.<center><br>-<svg xmlns="http://www.w3.org/2000/svg" width="28" height="28" version="1" viewBox="0 0 26 26" enable-background="new 0 0 26 26"><path d="M 15.65625 -0.03125 C 14.280846 -0.03760636 12.828752 0.09254274 11.3125 0.40625 C 8.28651 1.0323169 5.7746616 2.1709106 3.96875 3.59375 C 2.3885774 4.8387345 1.3097647 6.3321654 1.0625 7.96875 A 1.0001 1.0001 0 0 0 1 8.40625 C 1 8.4709766 0.99753847 8.5296394 1 8.59375 C 0.99939321 8.6245955 1 8.6565744 1 8.6875 C 1.0067678 8.8049913 1.0164368 8.9159604 1.03125 9.03125 C 1.0536237 9.2185949 1.1014372 9.4156735 1.15625 9.59375 C 1.4590854 10.826485 2.2046296 11.91918 3.21875 12.78125 C 4.0779092 13.511593 5.1369309 14.083861 6.3125 14.53125 A 1.0001 1.0001 0 0 0 6.53125 14.9375 C 8.1339345 16.910035 12.101162 19.118434 18.1875 18.59375 A 1.0043849 1.0043849 0 0 0 18 16.59375 C 14.906411 16.860439 12.500325 16.269357 10.78125 15.5 C 14.30154 15.772761 18.245209 15.070028 21.71875 12.96875 A 1.0021949 1.0021949 0 1 0 20.6875 11.25 C 16.887924 13.548509 12.317006 14.000584 8.78125 13.21875 C 8.6725971 13.194724 8.5753958 13.151278 8.46875 13.125 C 10.108287 13.189898 11.88322 13.060799 13.6875 12.6875 C 16.718701 12.060355 19.36029 10.886006 21.21875 9.4375 C 23.067114 7.9968631 24.272087 6.1533076 23.875 4.21875 C 23.8732 4.20861 23.8769 4.197602 23.875 4.1875 C 23.513143 2.2541955 21.685558 1.0369822 19.4375 0.4375 C 18.307598 0.13619269 17.031654 -0.02489364 15.65625 -0.03125 z M 15.65625 1.96875 C 16.883971 1.97489 18.004902 2.1263073 18.9375 2.375 C 20.802695 2.8723854 21.754612 3.7133252 21.90625 4.5625 A 1.0001 1.0001 0 0 0 21.9375 4.625 C 22.12047 5.4788616 21.54154 6.6735055 20 7.875 C 18.45846 9.0764945 16.081299 10.145895 13.3125 10.71875 C 10.546306 11.291066 7.7660826 11.269646 5.8125 10.78125 C 4.8357087 10.537052 4.0847823 10.157122 3.625 9.78125 C 3.3682882 9.5713881 3.1893221 9.3858538 3.09375 9.1875 C 3.0413411 8.9743851 3.0082478 8.7545393 3 8.53125 C 3.0633474 7.4789308 3.7648202 6.2771492 5.1875 5.15625 C 6.6815884 3.9790894 8.91349 2.9489331 11.6875 2.375 C 13.071248 2.0887073 14.428529 1.9626064 15.65625 1.96875 z M 15.96875 3.65625 C 14.93792 3.617106 13.843984 3.69192 12.71875 3.90625 A 1.0001 1.0001 0 0 0 12.6875 3.9375 C 9.8940815 4.582135 7.6159262 5.8506824 6.5625 7.5625 A 1.0001 1.0001 0 1 0 8.25 8.625 C 8.7942179 7.740646 10.701734 6.434394 13.09375 5.875 C 13.10453 5.87295 13.11421 5.87702 13.125 5.875 C 15.064267 5.5112859 17.031887 5.6468794 18.03125 6.03125 A 1.0040202 1.0040202 0 0 0 18.75 4.15625 C 17.952461 3.8495042 16.99958 3.6953943 15.96875 3.65625 z M 9.15625 17.59375 A 1.0001 1.0001 0 0 0 8.5625 19.25 C 8.5625 19.25 11.033033 22.015963 15.53125 21.90625 A 1.0004882 1.0004882 0 1 0 15.46875 19.90625 C 11.766967 19.996537 10.0625 17.9375 10.0625 17.9375 A 1.0001 1.0001 0 0 0 9.15625 17.59375 z M 8.125 20.1875 A 1.0001 1.0001 0 0 0 7.40625 21.65625 C 7.40625 21.65625 8.6869767 23.974979 11.65625 24.09375 A 1.001098 1.001098 0 0 0 11.75 22.09375 C 9.7192733 22.012521 9.1875 20.75 9.1875 20.75 A 1.0001 1.0001 0 0 0 8.21875 20.1875 A 1.0001 1.0001 0 0 0 8.125 20.1875 z M 7.59375 23.0625 A 1.0001 1.0001 0 0 0 7.4375 23.09375 A 1.0001 1.0001 0 0 0 6.9375 23.34375 C 6.9375 23.34375 6.19375 24 5.09375 24 A 1.0001 1.0001 0 1 0 5.09375 26 C 6.99375 26 8.28125 24.84375 8.28125 24.84375 A 1.0001 1.0001 0 0 0 7.59375 23.0625 z" color="#000" ></path></svg>-<br><br></center><h3>On-going experiments</h3><ul><li><a href='/faq/2013-09-08/dylos-air-particule-counter-experimentation-part-1/'>The Dylos Air Particule counter</a>: Can it be used as a substitue of more expensive BAM monitors? A one-year long experiments on trying to correlate Dylos and BAM data in Beijing. </ul><ul><li><a href='/sensor/shinyei/'>Low-cost shinyei and samyoung Sensors</a>: Low cost sensors are used in many of the 'Air Sensor Toys' appearing on Internet. But, can those ultra low-cost sensor provide any good information on air quality? Can any reliable AQI be deducted?</ul><br><h3>Concluded experiments</h3><ul><li><a href='/experiments/what-is-the-dylos-monitor-actually-measuring/'>Deducting PM2.5 and PM10 concentrations from the Dylos monitor readings:</a> An experiment to understand how to use the Dylos real-time readings to deduct, with high confidence, PM2.5 and PM10 concentrations.</a></ul><ul><li><a href='/experiments/south-korea-pm25-air-quality/'>Estimating PM2.5 AQI when only PM10 sensors are available.</a> Experimentation and real-time simulation applied for South Korea.</ul><ul><li><a href='/experiments/haier-air-box/'>Haier Air Box</a>: A reverse engineering of the Haier AirBox air quality sensor for the smart home. </ul><br><h3>Planned experiments</h3><ul><li>Correlatation between PM10, PM2.5 and the local dust type. An extension of the <a href='/experiments/south-korea-pm25-air-quality/' style='color:black;'><i>PM2.5 AQI estimation from PM10 AQI</i></a> experiment. </ul><ul><li>The GFS Wind forecast: Is it really accurate? How do actual and predicted data differ?</ul><ul><li>Predicting Air Quality: using the GFS wind forecast to predict Air Pollution flux</ul><center><br>-<svg xmlns="http://www.w3.org/2000/svg" width="28" height="28" version="1" viewBox="0 0 26 26" enable-background="new 0 0 26 26"><path d="M 15.65625 -0.03125 C 14.280846 -0.03760636 12.828752 0.09254274 11.3125 0.40625 C 8.28651 1.0323169 5.7746616 2.1709106 3.96875 3.59375 C 2.3885774 4.8387345 1.3097647 6.3321654 1.0625 7.96875 A 1.0001 1.0001 0 0 0 1 8.40625 C 1 8.4709766 0.99753847 8.5296394 1 8.59375 C 0.99939321 8.6245955 1 8.6565744 1 8.6875 C 1.0067678 8.8049913 1.0164368 8.9159604 1.03125 9.03125 C 1.0536237 9.2185949 1.1014372 9.4156735 1.15625 9.59375 C 1.4590854 10.826485 2.2046296 11.91918 3.21875 12.78125 C 4.0779092 13.511593 5.1369309 14.083861 6.3125 14.53125 A 1.0001 1.0001 0 0 0 6.53125 14.9375 C 8.1339345 16.910035 12.101162 19.118434 18.1875 18.59375 A 1.0043849 1.0043849 0 0 0 18 16.59375 C 14.906411 16.860439 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fitLine('#h1header2',.88,{maxfs:45}); }; </script><div class='whitebody' style='font-family:"Noto Serif",Cambria,"Palatino Linotype","Book Antiqua","URW Palladio L",serif;'><div class='section-outer'><div class='section-content' > <center>대기질 지수 단계에 대하여<br> <br> <style type="text/css"> #legend-full table.infoaqitable { line-height: 1.5; background-color: white; max-width: 1000px; width: 95%; margin: 0px; border: 1px solid black; cursor: pointer; } #legend-full table.infoaqitable td { padding: 5px; font-size: 15px; text-shadow: none; } #legend-full .aqiwtxt { color: #ffffff; } #legend-full .aqibtxt { color: #000000; } @media only screen and (max-width: 800px) { #legend-full table.infoaqitable { width: 98%; } } @media only screen and (max-width: 800px) { #legend-full table.infoaqitable td { display: block; } #legend-full table.infoaqitable td:nth-child(1) { display: inline-block; font-size: 1.2em; } #legend-full table.infoaqitable td:nth-child(2) { display: inline-block; font-weight: 800; font-size: 1.2em; } } </style> <div id='legend-full' onclick='window.location="/scale/"'> <table class="infoaqitable"> <thead> <tr> <td>AQI</td><td>지수구분</td><td>구간의미</td></tr> </thead> <tr style="background-color:#009966;color:white"> <td nowrap="true">0 - 50</td> <td>좋음</td> <td>대기오염 관련 질환자군에서도 영향이 유발되지 않을 수준</td></tr> <tr style="background-color:#ffde33"> <td nowrap="true">51 -100</td> <td>보통</td> <td>환자군에게 만성 노출시 경미한 영향이 유발될 수 있는 수준</td></tr> <tr style="background-color:#ff9933;color:white"> <td nowrap="true">101-150</td> <td>민감군영향</td> <td>환자군 및 민감군에게 유해한 영향이 유발될 수 있는 수준</td></tr> <tr style="background-color:#cc0033;color:white"> <td nowrap="true">151-200</td> <td>나쁨</td> <td>환자군 및 민감군(어린이, 노약자 등)에게 유해한 영향 유발, 일반인도 건강상 불쾌감을 경험할 수 있는 수준</td></tr> <tr style="background-color:#660099;color:white"> <td nowrap="true">201-300</td> <td>매우나쁨</td> <td>환자군 및 민감군에게 급성 노출시 심각한 영향 유발, 일반인도 약한 영향이 유발될 수 있는 수준</td></tr> <tr style="background-color:#7e0023;color:white"> <td nowrap="true">300+</td> <td>위험</td> <td>환자군 및 민감군에게 응급 조치가 발생되거나, 일반인에게 유해한 영향이 유발될 수 있는 수준</td></tr> </table> (Reference: see <a href='http://www.airkorea.or.kr/airkorea/study/main.jsp?action=khai&sub=01'> airkorea.or.kr</a>) <br> </div><br>대기질과 오염에 대해 더 많은 것을 알아보려면 <a href='http://en.wikipedia.org/wiki/Air_quality'>위키피디아의 대기질 문서(영어)</a>을 보거나 <a href='http://www.airnow.gov/index.cfm?action=aqibasics.aqi'>대기질과 건강에 대한 AirNow 가이드(영어)</a>를 참조해보세요.<br><br>매우 유용한 베이징의 의학박사 Richard Saint Cyr MD의 건강 관련 팁을 보려면 <a href='http://www.myhealthbeijing.com/'> www.myhealthbeijing.com </a>의 블로그를 확인하세요.<br><br></center></div></div></div> <center> <br>  <ins class="adsbygoogle" style="display:block" data-ad-client="ca-pub-0281575029452656" data-ad-slot="2455076269" data-ad-format="auto"></ins> <script>(adsbygoogle = window.adsbygoogle || []).push({});</script> <style type='text/css'> .usage-notice { line-height:1.5; max-width:95%; width:1000px; margin-top:10px; padding:5px; font-size: 15px; background-color:#ffffff; text-shadow: 1px 1px 1px white; -webkit-box-shadow: 1px 1px 8px -3px rgba(0,0,0,0.3); } </style> <div class="textshadowwhite usage-notice" style=''> <b>사용안내</b>: 모든 대기 질 데이터는 발행 당시에 검증되지 않았으며, 품질 보증으로 인해 이러한 데이터는 예고없이 언제든지 수정 될 수 있습니다. <a href='https://aqicn.org'> 세계 대기 품질 지수 </a> 프로젝트는이 정보의 내용을 편집함에있어 합당한 기술과 관심을 행사했으며 어떤 상황에서도 <a href='https://aqicn.org'> 세계 대기 품질 지수 (World Air Quality Index) </a> 프로젝트 팀 또는 그 대리인은이 데이터의 공급으로 인해 직접 또는 간접적으로 발생하는 손실, 상해 또는 손해에 대해 계약, 불법 행위 또는 기타의 책임을지지 않습니다.</div> <br> <br> <br> </center>  <div id="fixed-footer-marker" class="locked"></div>  <div id="floating-footer" class="footer-overlay floating-footer-overlay footer"> </div> <div id="fixed-footer" class="footer"> <div id="footer-overlay" class="footer-overlay"></div> <br> <br> <center> <div id='fixed-footer-menu-buttons-with-text' style='max-width:80%;margin-bottom:20px;display:none;'> <a href='javascript:go2home();' class='menubar-text'><div 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