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- W4283396098 abstract "No AccessJan 2022Using Satellite Data for Daily, City-Scale PM2.5 MonitoringAuthors/Editors: World BankWorld BankSearch for more papers by this authorhttps://doi.org/10.1596/978-1-4648-1727-4_ch5AboutView ChaptersPDF (1.3 MB) ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinked In Abstract: Discusses the need to provide guidance to low- and middle-income countries (LMICs) on how satellite data can best serve in city-scale, daily air-quality monitoring and what local conditions (altitude, distance from coast, and so forth) lead to larger errors in the satellite estimates of ground-level particulate matter (PM2.5) concentrations, then describes (1) the initial testing of the satellite approaches (using polar-orbiting satellite data) from 2017 ground level monitoring (GLM) data sets for three cities (Delhi, India; Ulaanbaatar, Mongolia; and Lima, Peru); and (2) the results of evaluating the satellite approaches for nine total cities in LMICs using GLM data from 2016–17 where available. The estimates of the ground-level daily average PM2.5 concentrations from the chemical transport model-based (CTM) and statistical approaches generally had a low correlation (R 0.3) with the true daily average PM2.5 concentrations within a city. Consequently, using satellite data alone would likely result in incorrect estimates of acute PM2.5 exposure and health effects. Previous chapterNext chapter FiguresreferencesRecommendeddetails View Published: January 2022ISBN: 978-1-4648-1727-4 Copyright & Permissions Related CountriesEthiopiaGhanaIndiaMongoliaNepalPeruSenegalUgandaVietnamRelated TopicsEnvironmentInformation and Communication Technologies KeywordsSATELLITE TECHNOLOGYAIR QUALITYAIR POLLUTIONLOW- AND MIDDLE-INCOME COUNTRIESLMICSENVIRONMENTAL ASSESSMENTEAOUTDOOR AIR POLLUTIONPARTICULATE MATTERURBAN ENVIRONMENTQUALITY CONTROL PDF DownloadLoading ..." @default.
- W4283396098 created "2022-06-25" @default.
- W4283396098 date "2022-01-21" @default.
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- W4283396098 title "Using Satellite Data for Daily, City-Scale PM2.5 Monitoring" @default.
- W4283396098 doi "https://doi.org/10.1596/978-1-4648-1727-4_ch5" @default.
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