Investigating the Long-Term Relationship between Aerosol Optical Thickness and Land Use/Cover Change in Guangxi Coastal Cities, China
- 1 School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, China
- 2 College of Earth Science, Guilin University of Technology, Guilin, China
- 3 College of Earth Science, Guilin University of Technology, Guilin, China
- 4 School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, China
- 5 College of Resources and Environment, Beibu Gulf University, Qinzhou, China
Abstract
Land Use/Cover Change (LUCC) has an impact on AOD to a certain extent. It is of great significance for ecological environment and public health to pay attention to and explore the response mechanism of AOD to LUCC. Based on remote sensing satellite technology, using landsat8 and MODIS data, this pa per analyzes the correlation between different land use types and AOD i n Beibu Gulf coastal urban belt under the background of wide - scale region and long time series, and further discusses the difference value and contribution level of each LUCC to AOD. The results show that: 1) there is a positive cor relation between PM concentration and cultivated land, urban land, wate r area and other types of land, and the correlation coefficient increases in turn, R is 0.812, 0.685, 0.627, 0.416, respectively, which indicates that the increase of cultivated land and urban land increases PM concentration to a certain extent; 2) there is a significant negative correlation between PM concentration and forest land, R is -0.924, The results show that the decrease of woodland is an important factor for the increase of atmospheric particulate matter concentration in the study area from 2015 to 2019; 3) through the contribution analysis method, the contribution of cultivated land to AOD is the largest, followed by urban land, and the water area is the smallest in 2015-201 9, which indicates that the land use mode is closely related to AOD. It can be helpful to reasonably plan land use types and scientifically optimize land use structure . It can effectively reduce the concentration of air pollution particles.
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