文章摘要
A Study on Aerosol Retrieval and Influence Mechanism based on MODIS Data in Jinan
投稿时间:2018-04-09  
DOI:13358/j.issn.1008-813x.2018.03.15
中文关键词: MODIS  大气气溶胶光学厚度  暗像元法  影响机制  济南市
英文关键词: MODIS  AOD  DDV algorithm  influence mechanism  Jinan
基金项目: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)
作者单位
刘雨 山东师范大学 地理与环境学院, 山东 济南 250358 
栾淑丽 山东师范大学 地理与环境学院, 山东 济南 250358 
吴泉源 山东师范大学 地理与环境学院, 山东 济南 250358 
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中文摘要:
      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。
英文摘要:
      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, performed 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 northern 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 countermeasures and suggestions:carrying out classified and separated management, building ecological corridor, transferring the polluting enterprises, and increasing vegetation coverage.
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