globalchange  > 气候变化与战略
DOI: 10.1016/j.atmosenv.2020.117544
论文题名:
A framework for setting up a country-wide network of regional surface PM2.5 sampling sites utilising a satellite-derived proxy – The COALESCE project, India
作者: Lekinwala N.L.; Bhardwaj A.; Sunder Raman R.; Bhushan M.; Bali K.; Dey S.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 234
语种: 英语
英文关键词: Aerosols ; Air quality ; Correlation methods ; Image resolution ; Quality management ; Time series analysis ; Aerosol optical depths ; Back trajectory analysis ; Fine particulate matter (PM2.5) ; High spatial resolution ; Mutual informations ; Pearson correlation coefficients ; PM2.5 concentration ; Weight of evidence approach ; Site selection ; air quality ; air sampling ; climate effect ; ground-based measurement ; long-term change ; particulate matter ; pollution monitoring ; regional climate ; satellite altimetry ; spatial resolution ; aerosol ; article ; correlation coefficient ; India ; meteorology ; optical depth ; quantitative analysis ; time series analysis ; validation process ; India
学科: COALESCE project ; Coefficient of divergence (CoD) ; MODIS aerosol Optical depth ; Mutual information (MI) ; Pearson correlation coefficient (PCC) ; Regionally representative PM2.5 sampling sites
中文摘要: Air quality management and assessment of aerosol climate effects over a large area require the strategic placement of regionally representative monitoring sites (RRMS) to capture the required information. Ground-based, fine particulate matter (PM2.5) concentrations measured for a long duration at high spatial resolution i.e. at several potential locations in a region help identify an optimal regionally representative site for the monitoring network. However, in the absence of long-term PM2.5 concentrations with high spatial resolution, identification of RRMS is a challenge. To identify for such situations, a novel methodology utilising satellite-derived PM2.5 is presented in this study. High spatial resolution (1 km × 1 km) daily aerosol optical depth (AOD) over several years (2004–2011) is used to derive surface PM2.5 using appropriate conversion factors. PM2.5 concentrations thus derived for a potential site and its nearby cells in the region are subjected to statistical analysis, to quantify linear/non-linear relationships between the respective PM2.5 time-series. Metrics such as coefficient of divergence (CoD), Pearson correlation coefficient (PCC) and Mutual information (MI) are calculated to assess the regional representativeness of a site. These criteria combined with physical criteria such as proximity of the site to local sources, local meteorology analysis and clustered air parcel back-trajectory analysis, are used in a weight-of-evidence approach to establish site adequacy. The selection and validation of eleven sites for the COALESCE project, is used as an illustrative example, to demonstrate the effectiveness of the site-selection methodology developed in this study. © 2020 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160272
Appears in Collections:气候变化与战略

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作者单位: Department of Chemical Engineering, Indian Institue of Technology Bombay, Mumbai, Maharashtra 400076, India; Interdisciplinary Programme in Climate Studies, Indian Institute of Technology Bombay, Mumbai, Maharashtra 400076, India; Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Bhopal, Bhopal Bypass Road, Bhauri, Bhopal, Madhya Pradesh 462 066, India; Center for Research on Environment and Sustainable Technologies, Indian Institute of Science Education and Research Bhopal, Bhopal Bypass Road, Bhauri, Bhopal, Madhya Pradesh 462 066, India; Center for Atmospheric Science, Indian Institute of Technology Delhi, Delhi, 110016, India; Center of Excellence for Research on Clean Air, Indian Institute of Technology Delhi, Delhi, 110016, India

Recommended Citation:
Lekinwala N.L.,Bhardwaj A.,Sunder Raman R.,et al. A framework for setting up a country-wide network of regional surface PM2.5 sampling sites utilising a satellite-derived proxy – The COALESCE project, India[J]. Atmospheric Environment,2020-01-01,234
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