一种基于Google Earth影像的河道地形数据提取方法
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  • 英文篇名:A new method for extracting river terrain data based on Google Earth image
  • 作者:苏程佳 ; 陈晓宏
  • 英文作者:SU Chengjia;CHEN Xiaohong;Center for Water Resources and Environment,Sun Yat-sen University;Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute,Sun Yat-sen University;
  • 关键词:无资料地区 ; 河道地形 ; 地形数据 ; Google ; Earth影像 ; 水动力模型 ; 鉴江流域
  • 英文关键词:ungauged area;;river terrain;;terrain data;;Google Earth image;;hydrodynamic model;;Jianjiang River Basin
  • 中文刊名:SZYB
  • 英文刊名:Water Resources Protection
  • 机构:中山大学水资源与环境研究中心;华南地区水循环与水安全广东普通高校重点实验室;
  • 出版日期:2019-03-20
  • 出版单位:水资源保护
  • 年:2019
  • 期:v.35
  • 基金:国家自然科学基金(91547202,51479216,51509127);; 中国工程院咨询项目(2015-DA-07-04-03);; 广东省水利科技创新项目(2016-07,2016-01)
  • 语种:中文;
  • 页:SZYB201902016
  • 页数:5
  • CN:02
  • ISSN:32-1356/TV
  • 分类号:84-88
摘要
为解决无实测资料地区的河道地形数据获取问题,提出了一种基于Google Earth影像提取河道地形数据的方法,利用该方法提取了鉴江流域的河道地形数据并将其应用于水动力模型的构建。结果表明:利用该方法提取的河道地形数据所构建的水动力模型,其模拟过程与实际过程基本一致,其中模拟的最大、最小流量与实测对应的最大、最小流量的相对误差分别为14.3%和7.8%,流量模拟的整体相对误差为13.2%;模拟的最高、最低水位与实测对应的最高、最低水位的相对误差分别为5.5%和3.9%,水位模拟的整体相对误差为5.2%;基于Google Earth影像提取河道地形数据是解决无河道地形资料地区的一种便捷且行之有效的方法。
        To solve the problem of obtaining river terrain data in ungauged area,a new method for extracting river terrain data based on Google Earth image was proposed.Using this method,the river terrain data of Jianjiang River Basin are extracted,and a one-dimensional hydrodynamic model was constructed based on those river terrain data.The results show that the simulation process by the hydrodynamic model based on river terrain data extracted by this method is basically consistent with the actual process.The relative errors of the maximum and minimum flow rates are 14.3% and 7.8%,respectively,while the overall relative error of flow simulation is 13.2%.The relative errors of the simulated maximum and minimum water levels corresponding to the measured ones are 5.5% and 3.9%,respectively,while the overall relative error of water level simulation is 5.2%.It shows that extracting river terrain data based on Google Earth image is a convenient and effective method to solve the problem in the area without river terrain data.
引文
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