Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals

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...

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Main Authors: Zafar, Qudsia, Zafar, Sidra, Holben, Brent
Other Authors: The University of Newcastle. Faculty of Science & Information Technology, School of Mathematical and Physical Sciences
Format: Article in Journal/Newspaper
Language:English
Published: John Wiley & Sons 2018
Subjects:
Online Access:http://hdl.handle.net/1959.13/1449095
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spelling ftunivnewcastnsw:uon:43572 2023-05-15T13:06:58+02:00 Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals Zafar, Qudsia Zafar, Sidra Holben, Brent The University of Newcastle. Faculty of Science & Information Technology, School of Mathematical and Physical Sciences 2018 http://hdl.handle.net/1959.13/1449095 eng eng John Wiley & Sons International Journal of Climatology Vol. 38, Issue 2, p. 1022-1040 10.1002/joc.5230 http://hdl.handle.net/1959.13/1449095 uon:43572 ISSN:0899-8418 aerosol optical depth Ångstrom wavelength exponent long-range transport AERONET HYSPLIT MODIS deep blue desert dust/urban-industrial aerosols journal article 2018 ftunivnewcastnsw 2022-09-26T22:25:05Z 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. Article in Journal/Newspaper Aerosol Robotic Network NOVA: The University of Newcastle Research Online (Australia)
institution Open Polar
collection NOVA: The University of Newcastle Research Online (Australia)
op_collection_id ftunivnewcastnsw
language English
topic aerosol optical depth
Ångstrom wavelength exponent
long-range transport
AERONET
HYSPLIT
MODIS deep blue
desert dust/urban-industrial aerosols
spellingShingle aerosol optical depth
Ångstrom wavelength exponent
long-range transport
AERONET
HYSPLIT
MODIS deep blue
desert dust/urban-industrial aerosols
Zafar, Qudsia
Zafar, Sidra
Holben, Brent
Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals
topic_facet aerosol optical depth
Ångstrom wavelength exponent
long-range transport
AERONET
HYSPLIT
MODIS deep blue
desert dust/urban-industrial aerosols
description 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.
author2 The University of Newcastle. Faculty of Science & Information Technology, School of Mathematical and Physical Sciences
format Article in Journal/Newspaper
author Zafar, Qudsia
Zafar, Sidra
Holben, Brent
author_facet Zafar, Qudsia
Zafar, Sidra
Holben, Brent
author_sort Zafar, Qudsia
title Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals
title_short Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals
title_full Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals
title_fullStr Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals
title_full_unstemmed Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals
title_sort seasonal assessment and classification of aerosols transported to lahore using aeronet and modis deep blue retrievals
publisher John Wiley & Sons
publishDate 2018
url http://hdl.handle.net/1959.13/1449095
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation International Journal of Climatology Vol. 38, Issue 2, p. 1022-1040
10.1002/joc.5230
http://hdl.handle.net/1959.13/1449095
uon:43572
ISSN:0899-8418
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