DOI: 10.1016/j.atmosenv.2018.02.027
Scopus记录号: 2-s2.0-85042491054
论文题名: Long-term aerosol climatology over Indo-Gangetic Plain: Trend, prediction and potential source fields
作者: Kumar M ; , Parmar K ; S ; , Kumar D ; B ; , Mhawish A ; , Broday D ; M ; , Mall R ; K ; , Banerjee T
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 180 起始页码: 37
结束页码: 50
语种: 英语
英文关键词: AOD
; ARIMA
; Fine particulates
; MODIS
; Spatiotemporal comparison
; Trend
Scopus关键词: Aerosols
; Climate models
; Climatology
; Forestry
; Radiometers
; Supercomputers
; Time series analysis
; Uncertainty analysis
; ARIMA
; Fine particulates
; MODIS
; Spatio-temporal comparison
; Trend
; Loading
; aerosol
; algorithm
; Article
; climate
; concentration (parameters)
; geographic distribution
; India
; meteorology
; model
; prediction
; priority journal
; seasonal variation
; topography
; winter
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Long-term aerosol climatology is derived using Terra MODIS (Collection 6) enhanced Deep Blue (DB) AOD retrieval algorithm to investigate decadal trend (2006–2015) in columnar aerosol loading, future scenarios and potential source fields over the Indo-Gangetic Plain (IGP), South Asia. Satellite based aerosol climatology was analyzed in two contexts: for the entire IGP considering area weighted mean AOD and for nine individual stations located at upper (Karachi, Multan, Lahore), central (Delhi, Kanpur, Varanasi, Patna) and lower IGP (Kolkata, Dhaka). A comparatively high aerosol loading (AOD: 0.50 ± 0.25) was evident over IGP with a statistically insignificant increasing trend of 0.002 year−1. Analysis highlights the existing spatial and temporal gradients in aerosol loading with stations over central IGP like Varanasi (decadal mean AOD±SD; 0.67 ± 0.28) and Patna (0.65 ± 0.30) exhibit the highest AOD, followed by stations over lower IGP (Kolkata: 0.58 ± 0.21; Dhaka: 0.60 ± 0.24), with a statistically significant increasing trend (0.0174–0.0206 year−1). In contrast, stations over upper IGP reveal a comparatively low aerosol loading, having an insignificant increasing trend. Variation in AOD across IGP is found to be mainly influenced by seasonality and topography. A distinct “aerosol pool” region over eastern part of Ganges plain is identified, where meteorology, topography, and aerosol sources favor the persistence of airborne particulates. A strong seasonality in aerosol loading and types is also witnessed, with high AOD and dominance of fine particulates over central to lower IGP, especially during post-monsoon and winter. The time series analyses by autoregressive integrated moving average (ARIMA) indicate contrasting patterns in randomness of AOD over individual stations with better performance especially over central IGP. Concentration weighted trajectory analyses identify the crucial contributions of western dry regions and partial contributions from central Highlands and north-eastern India, in regulating AOD over stations across IGP. Although our analyses provide some attributes to the observed changes in aerosol loading, we conclude that the spatial and temporal pattern of aerosol properties is highly complex and dynamic over IGP, and require further investigation in order to reduce uncertainty in aerosol-climate model. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82912
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India; Department of Mathematics, Punjab Technical University, Jalandhar, Kapurthala, India; School of Civil Engineering, Kalinga Institute of Industrial Technology University, Bhubaneswar, India; Civil and Environmental Engineering, Technion, Haifa, Israel; DST-Mahamana Centre of Excellence in Climate Change Research, Banaras Hindu University, Varanasi, India
Recommended Citation:
Kumar M,, Parmar K,S,et al. Long-term aerosol climatology over Indo-Gangetic Plain: Trend, prediction and potential source fields[J]. Atmospheric Environment,2018-01-01,180