Hao, Nan and Van Roozendael, Michel and Ding, A. J. and Zhou, Bin and Hendrick, F. and Shen, Y. C and Wang, T. and Valks, Pieter (2014) Retrieval of tropospheric NO2 vertical column densities and aerosol optical properties form MAXDOAS measurements in Yangtze River Delta, China. EGU 2014, 2014-04-27 - 2014-05-02, Vienna, Austria.
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Abstract
Air pollution is one of the most important environmental problems in developing Asian countries like China. Due to huge consumption of fossil fuels and rapid increase of traffic emissions in the past decades, many regions in China have been experiencing heavy air pollution. The Yangtze River Delta (YRD) region includes the mega-city Shanghai and the well-industrialized and urbanized areas of Zhejiang Province and Jiangsu Province, with over ten large cities, such as Hangzhou, Suzhou and Nanjing. Covering only 2% land area, this region produces over 20% of China’s Gross Domestic Product (GDP) which makes it the most densely populated region and one of the most polluted regions in China. For instance, there more than 60% of a year was haze days with poor visibility in Shanghai over the last few years. In the YRD region, knowledge gaps still exist in the understanding of the source and transport of air pollutants because only few measurement studies have been conducted. MAX-DOAS measurements were performed in Shanghai city center and Wujiang (border of Shanghai and Jiangsu Province) from 2010 to 2012 and in Nanjing (capital of Jiangsu Province) from April 2013. A retrieval algorithm, based on an on-line implementation of the radiative transfer code LIDORT and the optimal estimation technique, has been used to provide information on aerosol extinction vertical profiles. The total aerosol optical depths (AODs) calculated from the retrieved profiles were compared to MODIS, AERONET and local PM measurements. The aerosol information was input to LIDORT to calculate NO2 air mass factors. The retrieved tropospheric NO2 vertical column densities (VCDs) were compared to in-situ and satellite NO2 measurements.
Item URL in elib: | https://elib.dlr.de/94945/ | ||||||||||||||||||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Lecture) | ||||||||||||||||||||||||||||||||||||
Title: | Retrieval of tropospheric NO2 vertical column densities and aerosol optical properties form MAXDOAS measurements in Yangtze River Delta, China | ||||||||||||||||||||||||||||||||||||
Authors: |
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Date: | 2014 | ||||||||||||||||||||||||||||||||||||
Refereed publication: | No | ||||||||||||||||||||||||||||||||||||
Open Access: | No | ||||||||||||||||||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||||||||||||||
Keywords: | air pollution, MAX-DOAS, profile, China, NO2, aerosol | ||||||||||||||||||||||||||||||||||||
Event Title: | EGU 2014 | ||||||||||||||||||||||||||||||||||||
Event Location: | Vienna, Austria | ||||||||||||||||||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||||||||||||||||||
Event Start Date: | 27 April 2014 | ||||||||||||||||||||||||||||||||||||
Event End Date: | 2 May 2014 | ||||||||||||||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||||||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||||||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||||||||||||||||||
DLR - Research theme (Project): | R - Vorhaben Ozon-SAF (old) | ||||||||||||||||||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||||||||||||||||||
Institutes and Institutions: | German Remote Sensing Data Center > Atmosphere | ||||||||||||||||||||||||||||||||||||
Deposited By: | Hao, Dr. Nan | ||||||||||||||||||||||||||||||||||||
Deposited On: | 05 Feb 2015 10:34 | ||||||||||||||||||||||||||||||||||||
Last Modified: | 24 Apr 2024 20:00 |
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