Estimating Air Particulate Matter Using MODIS Data and Analyzing Its Spatial and Temporal Pattern over the Yangtze Delta Region

Jianhui Xu, Hong Jiang, Zhongyong Xiao, Bin Wang, Jian Wu and Xin Lv
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Jianhui Xu: School of Geographic Information and Tourism, Chuzhou University, Chuzhou 293000, China
Hong Jiang: International Institute of Earth System Science, Nanjing University, Nanjing 210093, China
Zhongyong Xiao: School of Sciences, Jimei University, Xiamen 361021, China
Bin Wang: Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang A&F University, Lin’an 311300, China
Jian Wu: School of Geographic Information and Tourism, Chuzhou University, Chuzhou 293000, China
Xin Lv: School of Geographic Information and Tourism, Chuzhou University, Chuzhou 293000, China

Sustainability, 2016, vol. 8, issue 9, 1-14

Abstract: The deteriorating air quality in the Yangtze delta region is attracting growing public concern. In this paper, seasonal estimation models of the surface particulate matter (PM) were established by using aerosol optical thickness (AOT) retrievals from the moderate resolution imaging spectro-radiometer (MODIS) on board NASA’s Terra satellite. The change of the regional distribution of the atmospheric mixed layer, relative humidity and meteorological elements have been taken into account in these models. We also used PM mass concentrations of ground measurements to evaluate the estimation accuracy of those models. The results show that model estimation of PM 2.5 and PM 10 mass concentrations were in good agreement with the ground-based observation of PM mass concentrations ( p < 0.01, the R 2 value of the PM 2.5 concentrations experimental model for four seasons are 0.48, 0.62, 0.61 and 0.52 respectively. The R 2 value of PM 10 concentrations experimental model for four seasons are 0.57, 0.56, 0.64 and 0.68 respectively). At the same time, spatial and temporal variations of PM 2.5 and PM 10 mass concentrations were analysed over the Yangtze delta region from 2000 to 2013. The results show that PM 2.5 and PM 10 show a trend of increase in the Yangtze delta region from 2000 to 2013 and change periodically. The maximum mass concentration of PM 2.5 and PM 10 was in January–February, and the minimum was in July–August. The highest values of PM 2.5 and PM 10 mass concentration are in the region of urban agglomeration which is grouped to a delta-shaped region by Shanghai, Hangzhou and Nanjing, while the low values are in the forest far away from the city. PM mass concentration over main cities and rural areas increased gradually year by year, and were increasing more quickly in urban areas than in rural areas.

Keywords: PM; MODIS; spatial and temporal variation; Yangtze delta (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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