基于DMSP/OLS数据的全国空气污染物时空演变研究

doi:10.3976/j.issn.1002-4026.2020.02.014

Abstract

Abstract: Based on DMSP/OLS night-time light remote sensing imagery, the authors selected four years from the fourteen-year period of 2000 to 2013 to perform image acquisition and correction and extract data including the total amount of the light and the area of the light. Based on the annual growth of the light data, the differences among regions in the country were analyzed, and the correlation analysis was performed with regard to air pollutants. Experimental results show that：(1) As a whole, the amount of night-time light has increased nationwide, and the range of increase was affected by the policies of the relevant year. (2) There is a positive correlation between the total amount of night-time light and the air pollutants, and the correlation coefficient between the two is high. The correlation between industrial air pollutants and night light is decreasing, whereas the correlation between domestic air pollutants and night light is increasing. (3) The consistency between the total amount of night-time light and air pollution high/high concentration area has steadily enhanced. In this paper, we combine the night-time light imagery data and air pollution data to explore the temporal and spatial evolution of air pollutants through the comparison of the variations of night-time light data and provide a novel perspective for the comprehensive treatment of air pollution in China.

Key words: remote sensing imagery, nighttime light, air pollution, spatial-temporal evolution

CLC Number:

WU Yun-qing, TAO Yu-ting, ZHANG Yun-peng, MA Jing. Spatial-Temporal evolution of national air pollutants based on DMSP/OLS data[J].Shandong Science, 2020, 33(2): 97-105.

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Spatial-Temporal evolution of national air pollutants based on DMSP/OLS data

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