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安徽省遥感监测AOD时空变化与城市化影响

Spatio-temporal Changes of AOD and Urbanization Impact in Anhui Province Monitored by Remote Sensing
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摘要 针对目前气溶胶反演大都只在较大区域上定性分析其时空变化的问题,结合城市化影响因子,定量分析了城市化背景下AOD的主要影响因素。首先采用暗像元法对AOD进行反演,然后通过测算3—9月的AOD均值分析AOD空间分布特征和时间变化规律,最后分析表征城市化的因子与AOD分布之间的关系。结果表明:(1)5月、6月、8月、9月的AOD值偏低,3月、4月、7月的AOD值偏高;(2)AOD由北向南呈高、高、低的趋势,AOD在皖南的数值明显偏低;(3)MODIS_1 km数据反演的AOD与地面实测数据结果基本一致,相关系数为0.823;(4)研究区AOD与常住人口密度、不透水面覆盖率以及工业企业数量呈正相关关系,表明城市化对AOD时空分布影响较大。 In view of the current problem that aerosol inversion only qualitative analyzing the spatio-temporal changes in a large area,we quantitative analyzed the main influencing factors of AOD under the background of urbanization combined with urbanization impact factors.Firstly,we used the dense vegetation method to invert AOD.Then,we analyzed the spatial distribution characteristics and temporal change of AOD by measuring the average value of AOD from March to September.Finally,we analyzed the relationship between the factors representing urbanization and AOD distribution.The results showed that(1)AOD values in May,June,August and September were low,while AOD values in March,April and July were high.(2)AOD showed a trend of high,high and low from north to south,and AOD value in southern Anhui was obviously lower.(3)AOD inverted by MODIS_1 km data was basically consistent with the ground measured data,and the correlation coefficient was 0.823.(4)There was a positive correlation between AOD and resident population density,impervious water coverage and the number of industrial enterprises in the study area,indicating that urbanization had a great impact on the spatio-temporal distribution of AOD.
作者 潘建平 程卫华 付占宝 李鑫 黄桂萍 崔伟 蔡卓言 李鹏霞 PAN Jianping;CHENG Weihua;FU Zhanbao;LI Xin;HUANG Guiping;CUI Wei;CAI Zhuoyan;LI Pengxia(School of Civil Engineering,Chongqing Jiaotong University,Chongqing 400041,China)
出处 《地理空间信息》 2023年第1期64-68,共5页 Geospatial Information
基金 国家自然科学基金资助项目(41801394) 重庆市规划和自然资源科技资助项目(KJ-2020042) 重庆市自然科学基金面上资助项目(cstc2019jcyj-msxmX0548)。
关键词 AOD MODIS影像 时空变化分析 城市化 AOD MODIS image spatio-temporal change analysis urbanization
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