干旱区生态环境知识资源中心(Arid): Analysis of Air Pollution Data in India between 2015 and 2019

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DOI	10.4209/aaqr.210204
	Analysis of Air Pollution Data in India between 2015 and 2019
	Sharma, Disha; Mauzerall, Denise
通讯作者	Sharma, D ; Mauzerall, D (corresponding author)，Princeton Univ, Ctr Policy Res Energy & Environm, Sch Publ & Int Affairs, Princeton, NJ 08544 USA. ; Mauzerall, D (corresponding author)，Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA.
来源期刊	AEROSOL AND AIR QUALITY RESEARCH
ISSN	1680-8584
EISSN	2071-1409
出版年	2022
卷号	22 期号:2
英文摘要	India suffers from among the worst air pollution in the world. In response, a large government effort to increase air quality monitoring is underway. We present the first comprehensive analysis of government air quality observations from 2015-2019 for PM10, PM2.5, SO2, NO(2 )and O-3 from the Central Pollution Control Board (CPCB) Continuous Ambient Air Quality Monitoring (CAAQM) network and the manual National Air Quality Monitoring Program (NAMP), as well as PM2.5 from the US Air-Now network. We address inconsistencies and data gaps in datasets using a rigorous procedure to ensure data representativeness. We find particulate pollution dominates the pollution mix across India with virtually all sites in northern India (divided at 23.5 degrees N) exceeding the annual average PM10 and PM2.5 residential national ambient air quality standards (NAAQS) by 150% and 100% respectively, and in southern India exceeding the PM10 standard by 50% and the PM2.5 standard by 40%. Annual average SO2, NO2 and MDA8 O-3 generally meet the residential NAAQS across India. Northern India has (similar to 10%-130%) higher concentrations of all pollutants than southern India, with only SO2 having similar concentrations. Although inter-annual variability exists, we found no significant trend of these pollutants over the five-year period. In the five cities with Air-Now PM2.5 measurements - Delhi, Kolkata, Mumbai, Hyderabad and Chennai, there is reasonable agreement with CPCB data. The PM2.5 CPCB CAAQM data compares well with satellite derived annual surface PM2.5 concentrations (Hammer et al., 2020), with the exception of the western desert region prior to 2018 when surface measurements exceeded satellite retrievals. Our reanalyzed dataset is useful for evaluation of Indian air quality from satellite data, atmospheric models, and low-cost sensors. Our dataset also provides a baseline to evaluate the future success of National Clean Air Programme as well as aids in assessment of existing and future air pollution mitigation policies.
英文关键词	Air pollution India surface observations CPCB continuous and manual data US AirNow
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000748321700002
WOS关键词	PM2.5 ; OZONE ; DELHI ; SEASONALITY ; RESOLUTION ; TRENDS
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376472
作者单位	[Sharma, Disha; Mauzerall, Denise] Princeton Univ, Ctr Policy Res Energy & Environm, Sch Publ & Int Affairs, Princeton, NJ 08544 USA; [Mauzerall, Denise] Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA
推荐引用方式 GB/T 7714	Sharma, Disha,Mauzerall, Denise. Analysis of Air Pollution Data in India between 2015 and 2019[J],2022,22(2).
APA	Sharma, Disha,&Mauzerall, Denise.(2022).Analysis of Air Pollution Data in India between 2015 and 2019.AEROSOL AND AIR QUALITY RESEARCH,22(2).
MLA	Sharma, Disha,et al."Analysis of Air Pollution Data in India between 2015 and 2019".AEROSOL AND AIR QUALITY RESEARCH 22.2(2022).