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基于GEE的流域水利基础设施提取研究:以东江流域为例

Research of water conservancy infrastructure extraction in river basin based on GEE:A case study of Dongjiang River Basin
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摘要 【目的】流域水利基础设施是数字孪生流域建设的重要底板,在区域经济社会发展中发挥着重要作用。【方法】基于GEE平台的高分辨率卫星影像,进行地表水体计算与水利基础设施提取,使用公开的大坝数据集进行检验分析。【结果】以东江流域为例,流域水利基础设施种类多样,分布密集,共提取得到394座水利基础设施,包括13座船闸、63座低水头坝、13座丁坝、291座水库大坝、13座河坝以及1座分汊河道河坝。水利基础设施以水库大坝和低水头坝为主,数量在下游更为集中。【结论】应用GEE可有效提高对流域水利基础设施的提取和分析的效率;东江流域水利基础设施数量大,但对中小型水利基础设施仍有较多低估;相比已有数据,本文获取了更多数量和精确坐标的水利基础设施。 [Objective]The water conservancy infrastructure of the river basin is an important base for the construction of digital twin river basin and plays an important role in regional economic and social development.[Methods]Based on high-resolution satellite imagery of the GEE platform,surface water bodies are calculated and water conservancy infrastructures are extracted,and the published dam datasets are used for test and analysis.[Results]The water conservancy infrastructures in the basin are diverse and densely distributed.Taking the Dongjiang River Basin as an example,a total of 394 water conservancy infrastructures are extracted,including 13 locks,63 low permeable dams,13 partial dams,291 reservoir dams,13 river dams and a channel dam.Water infrastructure is dominated by reservoir dams and low permeable dams,with more concentrated numbers downstream.[Conclusion]The application of GEE can effectively improve the efficiency of extraction and analysis of water conservancy infrastructure in river basin.The number of water conservancy infrastructure in the Dongjiang River Basin is large,but the dataset still underestimates small and medium-sized water conservancy infrastructures.This paper obtains a larger number and precise coordinates of water conservancy infrastructures.
作者 张羽康 赵铜铁钢 刘智勇 杨芳 陈文龙 陈晓宏 ZHANG Yukang;ZHAO Tongtiegang;LIU Zhiyong;YANG Fang;CHEN Wenlong;CHEN Xiaohong(Key Laboratory for Water Safety Assurance in the Guangdong Hong Kong Macao Greater Bay Area,Ministry of Water Resources,Sun Yat-sen University,Zhuhai 519080,Guangdong,China;The Pearl River Water Conservancy Research Institute,Guangzhou 510611,Guangdong,China)
出处 《水利水电技术(中英文)》 北大核心 2023年第11期102-112,共11页 Water Resources and Hydropower Engineering
基金 国家自然科学基金项目(51979295) 国家重点研发计划(2021YFC3001000) 广东省珠江人才计划团队项目(2019ZT08G090)。
关键词 卫星影像 水体识别 水利基础设施 Satellite imagery Water body identification Water conservancy infrastructure
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