DOI: 10.1002/joc.5230
论文题名: Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals
作者: Zafar Q. ; Zafar S. ; Holben B.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 2 起始页码: 1022
结束页码: 1040
语种: 英语
英文关键词: AERONET
; aerosol optical depth
; desert dust/urban-industrial aerosols
; HYSPLIT
; long-range transport
; MODIS deep blue
; Ångström wavelength exponent
Scopus关键词: Atmospheric aerosols
; Atmospheric thermodynamics
; Dust
; Optical properties
; Radiometers
; Spectrometers
; Supercomputers
; AERONET
; Aerosol optical depths
; Deep blue
; Desert dust
; HYSPLIT
; Long range transport
; Wavelength exponent
; Atmospheric movements
; AERONET
; aerosol
; assessment method
; dust
; long range transport
; MODIS
; optical depth
; seasonal variation
; urban area
; Afghanistan
; India
; Iran
; Pakistan
; Saudi Arabia
英文摘要: Daily measurements of aerosol optical depth (τ) and Ångstrom wavelength exponent (α) acquired from Aerosol Robotic Network (AERONET) and Moderate Resolution Imaging Spectrometer (MODIS) are analysed over Lahore – an urban city of Pakistan (period: 2010–2014) to investigate contribution of different types of aerosols originating from both local and regional source locations. The obtained annual averages (mean ± standard deviation) for AERONET retrievals of τ (500 nm) and α (440–870 nm) are 0.68 ± 0.37 (0.08–2.91) and 0.99 ± 0.33 (0–1.8), respectively. Of all the sources, 61% are found within Pakistan, 11% in India, 19% in Afghanistan, 6% in Iran and 2% in Saudi Arabia with seasonal contributions of 35, 25, 23 and 17% in pre-monsoon, monsoon, winter and post-monsoon, respectively. The bimodal distributions of α show dominance of coarse-mode particles during pre-monsoon, fine-mode particles during post-monsoon and presence of both coarse-mode and fine-mode particles during winter and monsoon with winter showing more fine-mode particles. Two broad classes of aerosols namely desert dust (DD) and biomass burning/urban industrial (BU) are identified with criteria, e.g. τ ≥ 0.3 and α ≤ 0.75 indicating presence of DD while τ ≥ 0.2 and α ≥ 1.15 indicating BU. The frequency of occurrence (FOO) of DD and BU aerosols is further identified by applying classification criteria over Aqua-MODIS deep blue retrievals. The FOO identifies anthropogenic activity on-going throughout the year, disrupted with DD aerosols only during pre-monsoon and monsoon. The maximum dust activity is seen over Indo-Gangetic plains (IGP) (localized maxima: 35–45%) and the Arabian peninsula (>55%) during pre-monsoon, while maximum BU aerosols are found over IGP, central and south-eastern plains of India and the state of Gujarat (localized maxima: >70%) in winter and post-monsoon. © 2017 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/117085
Appears in Collections: 气候减缓与适应
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作者单位: Global Change Impact Studies Centre, Islamabad, Pakistan; School of Mathematical and Physical Sciences, University of Newcastle, Callaghan, NSW, Australia; NASA Goddard Space Flight Center, Defense & Space, Greenbelt, MD, United States
Recommended Citation:
Zafar Q.,Zafar S.,Holben B.. Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals[J]. International Journal of Climatology,2018-01-01,38(2)