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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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 |
_version_ |
1766028917324382208 |