摘要
湖泊等水体水质状况直接关系到人类社会的可持续发展。传统的水环境质量评价体系大都基于统计数据和原位测量数据,存在周期过长和时效性差等问题,难以实现大范围、连续地湖泊水环境质量评价。遥感技术的发展为高时空分辨率的湖泊水环境质量评价提供了可能。在总结现有湖泊水环境质量评价体系的基础上,以联合国可持续发展目标(Sustainable Development Goals,SDGs)中指标SDG 6.3.2(环境水质良好的水体比例)为导向,结合统计数据、野外实测数据和卫星遥感数据等地球大数据构建了"美丽湖泊"综合评价体系,以期在联合国可持续发展目标框架下,推进我国湖泊水环境质量综合评价,为美丽中国评价提供技术参考。
Lake water quality is directly related to the survival and development of human beings and society.Most of the existing assessment systems are based on statistical data and in-situ measurement data.Due to the long cycle and poor timeliness,these assessment systems are hard to achieve large-scale and continuous assessment of lake water environment.The development of remote sensing technology has made it possible to evaluate the quality of lake water environment with high spatial and temporal resolution.Thus,after summarizing the existing lake water environment quality assessment system,a new assessment system called"Beautiful Lakes"comprehensive assessment system was developed.A novel index system based on Big Earth Data(such as statistical data,field measured data and satellite remote sensing data)was first developed and integrates human activities,water quality,biology and hydrology indexes.Then,the threshold of each index was determined and the Percentage Compliance of Water Quality Index(cwq)was calculated.Following UN water,the threshold80%of cwqwas used to classify the water quality,which means if a certain water body is with cwq greater than 80%,the water quality is"good";otherwise,the water quality is poor.Finally,the Percentage of Water Bodies of Good Quality(WBGQ)was calculated to attain the comprehensive assessment of water quality on a large scale(basin scale or national scale).The new assessment system will promote the comprehensive assessment of lake water environment quality in China under the framework of the UN Sustainable Development Goals and provide a technical reference for the evaluation of beautiful China.
作者
沈明
丁云生
段洪涛
Shen Ming;Ding Yunsheng;Duan Hongtao(Key Laboratory of Watershed Geographic Sciences,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,China;University of Chinese Academy of Sciences,Beijing 100049,China;Environmental Information Centre of Chaohu Lake Management Authority,Chaohu 238000,China)
出处
《遥感技术与应用》
CSCD
北大核心
2020年第2期295-301,共7页
Remote Sensing Technology and Application
基金
中国科学院战略性先导科技专项(A类)(XDA19040500)项目资助。
作者简介
沈明(1993-),男,江苏南京人,博士研究生,主要从事湖泊水环境遥感研究。E⁃mail:mshen@niglas.ac.cn;通讯作者:段洪涛(1979-),男,河南焦作人,研究员,博士生导师,主要从事湖泊遥感和数字流域研究。E⁃mail:htduan@niglas.ac.cn。
