GSTDTAP  > 地球科学
DOI10.1016/j.atmosres.2018.06.014
Assessment of local and distant sources of urban PM2.5 in middle Indo-Gangetic plain of India using statistical modeling
Mukherjee, Arideep; Agrawal, Madhoolika
2018-11-15
发表期刊ATMOSPHERIC RESEARCH
ISSN0169-8095
EISSN1873-2895
出版年2018
卷号213页码:275-287
文章类型Article
语种英语
国家India
英文摘要

Ambient air particulate matter is regulated by source complexity, short and distant sources, associated meteorological and atmospheric factors. For the implementation of appropriate policies for mitigation of air pollutants, information regarding air pollution status, sources and modifying factors are needed. Previous studies in Indo-Gangetic plain (IGP) have identified PM2.5 (particles 2.5 mu m or less in size) variations and its sources but no studies have yet identified the local and long-range sources of PM2.5 and their relationships with other air pollutants and meteorology. The local and distant sources of PM2.5 were investigated from 2014 to 2017 in Varanasi city located in middle IGP of India by conditional bivariate probability function (CBPF), land use regression (LUR) and trajectory statistical models (TSM) like potential source contribution function (PSCF), concentration weighted trajectory (CWT) and trajectory cluster analysis.


Fine PM levels in Varanasi city exceeded the daily mean 24-h national Central Pollution control board (CPCB) and WHO standards for similar to 75 and 93% of monitoring days, indicating the alarming status of PM pollution in this area. CBPF identified traffic as the major probable local source which contributed maximally to high PM level followed by paved road dust and local combustion activities. LUR also identified traffic variables such as heavy vehicle intensity, distance from the highway, traffic intensity (within 500 m buffer) and percent green cover as major predictor variables influencing PM2.5 distribution in the city. PSCF, CWT and cluster analysis identified the north-western part of India as the most probable source region for contributing higher PM2.5 mass to Varanasi city. Dewpoint temperature, ventilation coefficient, wind speed and daily minimum temperature were identified as major meteorological variables and NO2 and CO as major gaseous air pollutants which modified PM concentrations. Outcomes of the study will be helpful in source identification and PM2.5 abatement in cities of IGP.


英文关键词PM25 Fine PM Urban CBPF PSCF CWT
领域地球科学
收录类别SCI-E
WOS记录号WOS:000442169800023
WOS关键词AIR-QUALITY ; CHEMICAL CHARACTERISTICS ; POLLUTION ; PM10
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/15150
专题地球科学
作者单位Banaras Hindu Univ, Inst Sci, Dept Bot, Lab Air Pollut & Global Climate Change, Varanasi 221005, Uttar Pradesh, India
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GB/T 7714
Mukherjee, Arideep,Agrawal, Madhoolika. Assessment of local and distant sources of urban PM2.5 in middle Indo-Gangetic plain of India using statistical modeling[J]. ATMOSPHERIC RESEARCH,2018,213:275-287.
APA Mukherjee, Arideep,&Agrawal, Madhoolika.(2018).Assessment of local and distant sources of urban PM2.5 in middle Indo-Gangetic plain of India using statistical modeling.ATMOSPHERIC RESEARCH,213,275-287.
MLA Mukherjee, Arideep,et al."Assessment of local and distant sources of urban PM2.5 in middle Indo-Gangetic plain of India using statistical modeling".ATMOSPHERIC RESEARCH 213(2018):275-287.
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