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典型入海口海岸带生态环境质量遥感评价研究——以宝山区为例
引用本文:范小安,王金辉,徐美娜,邓艳芬.典型入海口海岸带生态环境质量遥感评价研究——以宝山区为例[J].海洋学研究,2020,38(2):66-73.
作者姓名:范小安  王金辉  徐美娜  邓艳芬
作者单位:1.上海海洋大学 海洋科学学院,上海 201306; 2.自然资源部 东海局,上海 201306; 3.自然资源部 东海海洋环境调查勘察中心,上海 201306
基金项目:国家海洋局东海分局青年科技基金项目资助(201705)
摘    要:为了研究入海口海岸带生态环境质量状况,基于遥感信息技术,从土地利用的角度,构建入海口海岸带生态环境遥感评价体系,通过层次分析法并结合专家咨询法,以上海市宝山区岸线向陆5 km区域为例进行评价,得到各区域综合评价值。结果表明,宝山区入海口海岸带以工矿仓储用地为主,该区域生态环境质量自西向东逐渐下降,在练祁河和马路河之间区域到达最低点,向东开始回升,总体生态环境质量呈较差状态。

关 键 词:典型入海口海岸带  生态环境质量  遥感  
收稿时间:2019-11-19

Remote sensing evaluation of eco-environmental qualityin the typical estuarine coastal zones:a case study of Baoshan District
FAN Xiaoan,WANG Jinhui,XU Meina,DENG Yanfen.Remote sensing evaluation of eco-environmental qualityin the typical estuarine coastal zones:a case study of Baoshan District[J].Journal of Marine Sciences,2020,38(2):66-73.
Authors:FAN Xiaoan  WANG Jinhui  XU Meina  DENG Yanfen
Institution:1. College of Marine Science, Shanghai Ocean University, Shanghai 201306, China; 2. East China Sea Branch of Ministry of Natural Resources, Shanghai 201306, China; 3. East China Sea Environmental Survey and Investigation Center, Ministry of Natural Resources, Shanghai 201306, China
Abstract:In order to evaluate the ecological environment quality of the estuarine coastal zone, based on remote sensing information technology in land, a remote sensing assessment system of the ecological environment of the estuarine coastal zone was established.Through the analytic hierarchy process and the Delphi Method, the area of 5 km land forward along the coastline of Baoshan District was taken as an example to evaluate. The results show that the estuarine coastal zone of Baoshan District is dominated by industrial and mining warehousing land, and the ecological environment quality in this area gradually decreases from west to east, reaches the lowest point in the area between the Lianqi River and the Malu River, and starts to rebound to the east,the overall situation is poor.
Keywords:the typical estuarine coastal zone  ecological environment quality  remote sensing  
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