| AGREE 算法在秦淮河流域河网水系提取中的应用 |
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| 引用本文： | 司巧灵,杨传国,汪亚腾,董国强.AGREE 算法在秦淮河流域河网水系提取中的应用[J].江淮水利科技,2022,17(5):27-29,48. |
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| 作者姓名： | 司巧灵 杨传国 汪亚腾 董国强 |
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| 作者单位： | 1.安徽省·水利部淮河水利委员会水利科学研究院, 安徽 合肥 230088;2.河海大学水文水资源学院, 江苏 南京 210098
3.河海大学水文水资源与水利工程科学国家重点实验室, 江苏 南京 210098;4.安徽省宿州水文水资源局, 安徽 宿州 234000 |
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| 基金项目： | 国家自然科学基金（52109048） |
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| 摘 要： | 为解决在平原城市化流域通过数字高程模型（DEM）提取虚拟河网出现河道偏移,平行河网的问题,以典型的秦淮河流域作为研究对象,采用 AGREE 算法进行流域内河道信息校正,对比分析 SRTM DEM 和 ASTER GDEM 两种数据源的河网提取结果。经 AGREE 算法校正后,将 SRTM DEM 和 ASTER GDEM 两种数据源校正后的河网提取结果与2013 版《水利年鉴》 中该流域面积和河道位置、长度进行对比分析,平行河网和河道偏移问题得到解决,同时发现ASTER GDEM 在秦淮河流域提取的虚拟河网效果更优。
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| 关 键 词： | 平原 城市化流域 河网提取 AGREE 算法 DEM 数据源 |
| 收稿时间： | 2022/4/22 0:00:00 |
Application of AGREE algorithm in river network extraction in Qinhuai River Basin |
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| SI Qiao-ling,YANG Chuan-guo,WANG Ya-teng,DONG Guo-qiang.Application of AGREE algorithm in river network extraction in Qinhuai River Basin[J].Jianghuai Water Resources Science and Technology,2022,17(5):27-29,48. |
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| Authors: | SI Qiao-ling YANG Chuan-guo WANG Ya-teng DONG Guo-qiang |
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| Affiliation: | 1.Anhui and Huaihe River Institute of Hydraulic Research, Hefei 230088, China;2.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
3.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;4.Anhui Suzhou Hydrology and Water Resources Bureau, Suzhou 234000, China |
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| Abstract: | To solve the problem of river channel deviation and parallel river network in the plain urbanization watershed extracted by digital elevation model (DEM), the typical Qinhuai River watershed was taken as the research object, and the AGREE algorithm was used to correct the river channel information in the watershed. Analyze the river network extraction results from two data sources, SRTM DEM and ASTER GDEM.After being corrected by the AGREE algorithm, the river network extraction results corrected by the SRTM DEM and ASTER GDEM data sources were compared with the watershed area and channel location and length in the 2013 edition of the "Water Conservancy Yearbook". The problem was solved, and the
virtual river network extracted by ASTER GDEM in the Qinhuai River Basin was found to be more effective. |
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