地理科学进展 ›› 2013, Vol. 32 ›› Issue (1): 31-40.doi: 10.11820/dlkxjz.2013.01.003

• 研究进展 • 上一篇    下一篇

基于DEM的数字流域特征提取研究进展

宋晓猛1,2, 张建云1,2, 占车生3, 刘九夫1,2   

  1. 1. 南京水利科学研究院水文水资源与水利工程国家重点实验室, 南京 210029;
    2. 水利部应对气候变化研究中心, 南京 210029;
    3. 中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室, 北京 100101
  • 收稿日期:2012-06-01 修回日期:2012-08-01 出版日期:2013-01-25 发布日期:2013-01-25
  • 通讯作者: 占车生(1975-),主要从事陆面过程模拟与水文水资源研究。E-mail:zhancs2006@gmail.com E-mail:zhancs2006@gmail.com
  • 作者简介:宋晓猛(1987-),男,江苏徐州人,博士生,主要从事全球变化与流域水文模拟研究。E-mail:wenqingsxm@126.com
  • 基金资助:

    国家重点研究基础发展计划“973计划”项目(2010CB951104);国家自然科学基金项目(41271003,50939006)。

Advances in digital watershed features extracting based on DEM

SONG Xiaomeng1,2, ZHANG Jianyun1,2, ZHAN Chesheng3, LIU Jiufu1,2   

  1. 1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China;
    2. Research Center for Climate Change, The Ministry of Water Resources, Nanjing 210029, China;
    3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2012-06-01 Revised:2012-08-01 Online:2013-01-25 Published:2013-01-25

摘要: 数字高程模型(DEM)是地表形态高程属性的数字化表达,利用流域DEM数据构建数字水系模型并提取流域水文特征,是分布式水文过程模拟的重要基础。DEM中闭合洼地和平坦区域的处理、流向的确定以及DEM分辨率的大小都直接影响着流域水系特征提取的质量与效率。针对当前基于DEM提取河网与流域特征的诸多问题,阐述了DEM数据提取流域水系特征的原理,回顾了数字水系模型与流域特征提取方法,评述了洼地和平地的处理方法及水流方向的确定方法的研究进展,介绍了当前基于不同DEM数据类型的提取方法研究,探讨了DEM尺度和分辨率对提取流域特征的影响,总结了平缓区域数字水系和河网提取的研究进展。

关键词: 河网提取, 评述, 数字高程模型, 数字流域

Abstract: Digital elevation models(DEMs) can be considered as a digital representation of landscape topographic properties. Construction of a DEM-based digital model for a drainage network and extraction of hydrological attributes of the drainage network are important premises for simulation of distributed hydrological processes in a catchment. Usually, the quality and efficiency of the extraction of hydrological characteristics of a river basin from DEM data are affected by treatment of the closed depressions and flat areas in DEM, determination of flow directions, and selection DEM resolutions. In this paper, fundamental principles, methods and algorithms for extraction of the features of drainage networks and watersheds are reviewed; research progresses on the methods for treatment of flat areas and depressions and for determination of flow directions are discussed; the progress on software design and development for extractions from different types of DEM data are introduced; the effects of different scales and resolutions of DEM on the extraction of drainage network and watershed features are explored. Furthermore, the research progresses on the extraction of the features of drainage networks in flat areas and plain region are summarized.

Key words: channel network extraction, digital elevation model, digital river basin, review