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基于卫星影像数据快速构建水动力水质模型研究
引用本文:谭鹏,张诗豪,徐宏亮,刘宏宽,彭虹,周文婷.基于卫星影像数据快速构建水动力水质模型研究[J].中国农村水利水电,2021(1):6-11.
作者姓名:谭鹏  张诗豪  徐宏亮  刘宏宽  彭虹  周文婷
作者单位:中电建生态环境集团有限公司;武汉大学水利水电学院
基金项目:国家自然科学基金项目(41877531);广东省自然科学基金项目(2018A030310120);国家重点研发专项(2017YFC1502504)。
摘    要:研究提出了一种基于Google Earth遥感影像获取河道水下地形数据,并通过克里金插值法生成地形数据的方法,用于无实测地形资料地区河道水动力水质模拟.采用二维水动力水质模型分析长江干流九江河段排污口对水质的影响,将提出的方法与九江水文局2017年1:1000实测水下地形生成的数据的计算结果进行对比:水位最大误差由0....

关 键 词:遥感影像  水动力水质模型  水下地形

Research on the Rapid Construction of Hydrodynamic Water Quality Model Based on Satellite Image Data
TAN Peng,ZHANG Shi-hao,XU Hong-liang,LIU Hong-kuan,PENG Hong,ZHOU Wen-ting.Research on the Rapid Construction of Hydrodynamic Water Quality Model Based on Satellite Image Data[J].China Rural Water and Hydropower,2021(1):6-11.
Authors:TAN Peng  ZHANG Shi-hao  XU Hong-liang  LIU Hong-kuan  PENG Hong  ZHOU Wen-ting
Institution:(Powerchina Eco-Environmental Group Co.,Ltd, Shenzhen 518102,China;School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan 430072,China)
Abstract:This research proposes a method of obtaining underwater terrain data of rivers based on Google Earth remote sensing images and using Kriging interpolation to generate terrain data for the simulation of hydrodynamic water quality of rivers in areas without measured topographical data.A two-dimensional hydrodynamic water quality model is used to analyze the effect of sewage outlets on the water quality of the Jiujiang section of the Yangtze River.The method proposed in this paper is compared with the calculation results of the Jiujiang Hydrology Bureau's 20171∶1000 measured underwater terrain:the maximum error of the water level from 0.1 m to 0.2 m,the maximum relative error of flow rate increases from 10%to 20%,and the maximum relative error of water quality simulation increases from 17%to nearly 30%.The image data method has a large error and is not suitable for detailed environmental quality analysis.However,it can still be promoted as a technical method in the rapid analysis of the lack of measured terrain data and the need to understand the evolution trend of water quality.
Keywords:remote sensing image  hydrodynamic water quality model  underwater terrain
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