DOI: 10.1016/j.atmosres.2018.06.014
Scopus记录号: 2-s2.0-85048934429
论文题名: Assessment of local and distant sources of urban PM2.5 in middle Indo-Gangetic plain of India using statistical modeling
作者: Mukherjee A. ; Agrawal M.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 213 起始页码: 275
结束页码: 287
语种: 英语
英文关键词: CBPF
; CWT
; Fine PM
; PM2.5
; PSCF
; Urban
Scopus关键词: Air quality
; Cluster analysis
; Land use
; Landforms
; Pollution control
; Trajectories
; Wind
; CBPF
; Central pollution control boards
; Meteorological variables
; PM2.5
; Potential source contribution function
; Probability functions
; PSCF
; Urban
; Particles (particulate matter)
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 μm 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 ~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. © 2018 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108789
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Laboratory of Air Pollution and Global Climate Change, Department of Botany, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India
Recommended Citation:
Mukherjee A.,Agrawal M.. Assessment of local and distant sources of urban PM2.5 in middle Indo-Gangetic plain of India using statistical modeling[J]. Atmospheric Research,2018-01-01,213