基于MODIS的济南市气溶胶反演及影响机制研究  

A Study on Aerosol Retrieval and Influence Mechanism based on MODIS Data in Jinan

作　　者：刘雨 栾淑丽 吴泉源 Liu Yu;Luan Shuli;Wu Quanyuan(College of Geography and Environment,Shandong Normal University,Jinan Shandong 250358,China)

机构地区：[1]山东师范大学地理与环境学院,山东济南250358

出　　处：《中国环境管理干部学院学报》2018年第3期58-62,共5页Journal of Environmental Management College of China

基　　金：2017年全国大学生创新创业计划训练项目<降低雾霾健康风险的行为选择及支付意愿研究>(201710445155)

摘　　要：选取2015年3月6日济南市MODIS卫星遥感影像数据,以ENVI5.3为平台,利用改进的暗像元算法,进行气溶胶光学厚度(AOD)反演,并分析其空间分布特征和影响机制,得到以下结论:济南市平均AOD为0.454,南部山区处于低浓度梯度,西部地区处于高浓度梯度,东部地区介于二者之间;济南市AOD与其地势(DEM)、归一化植被指数(NDVI)呈负相关,与人类活动呈正相关。依据分析结果,提出了分区分层治理、建立生态廊道、转移污染企业、提高植被覆盖的治理策略。Selecting the MODIS satellite remote sensing image data in Jinan on March 6, 2015, based on the platform of ENVI5.3 and using an improved dense dark vegetation algorithm, perfor-med the inversion of the aerosol optical thickness and analyzed spatial distribution and influence mechanism. From the study, the article got the following conclusions： （ a） The average AOD of Jinan is 0.454. The aerosols in the southern mountainous area are at low concentration gradients, the no-rthern area are at high concentration gradients, and the eastern region falls in between. （ b） There is a positive correlation between the AOD of Jinan and its DEM and NDVI, a negative correlation between the AOD and human activities; finally, based on the research, it put forward relevant cou-ntermeasures and suggestions： carrying out classified and separated management, building ecologi-cal corridor, transferring the polluting enterprises, and increasing vegetation coverage.

关 键 词：MODIS 大气气溶胶光学厚度 暗像元法 影响机制 济南市 

分 类 号：X513[环境科学与工程—环境工程]