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首页> 外文期刊>Journal of Hydroinformatics >Effects of digital elevation model resolution on topography-based runoff simulation under uncertainty
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Effects of digital elevation model resolution on topography-based runoff simulation under uncertainty

机译：数字高程模型分辨率对不确定性下基于地形的径流模拟的影响

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摘要

Topography plays a critical role in controlling water dispersion and soil movement in hydrologic modeling for water resources management with raster-based digital elevation model (DEM). This study aims to model effects of DEM resolution on runoff simulation through coupling fuzzy analysis technique with a topography based rainfall-runoff model (TOPMODEL). Different levels of DEM grid sizes between 30 m and 200 m are examined, and the results indicate that 30 m DEM resolution is the best for all catchments. Results demonstrate that the DEM resolution could have significant influence on the TOPMODEL rainfall-runoff simulation. Fuzzy analysis technique is used to further examine the uncertain DEM resolution based on considering Nash, sum of squared error, and sum of absolute error values of TOPMODEL. The developed model is calibrated and validated against observed flow during the period 2010-2012, and generally performed acceptably for model Nash-Sutcliffe value. The proposed method is useful for studying hydrological processes of watershed associated with topography uncertainty and providing support for identifying proper water resources management strategy.
机译：在基于栅格的数字高程模型（DEM）进行水资源管理的水文建模中，地形在控制水的扩散和土壤运动中起着至关重要的作用。本研究旨在通过将模糊分析技术与基于地形的降雨径流模型（TOPMODEL）耦合，对DEM分辨率对径流模拟的影响进行建模。研究了30 m和200 m之间不同级别的DEM网格大小，结果表明30 m DEM分辨率对于所有流域都是最佳的。结果表明，DEM分辨率可能对TOPMODEL降雨径流模拟有重大影响。在考虑Nash，误差平方和和TOPMODEL绝对误差之和的基础上，使用模糊分析技术进一步检查不确定的DEM分辨率。所开发的模型针对2010年至2012年期间的观测流量进行了校准和验证，并且对于模型Nash-Sutcliffe值通常可以接受。所提出的方法对于研究与地形不确定性有关的流域水文过程和为确定适当的水资源管理策略提供支持。

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  • 来源
    《Journal of Hydroinformatics》 |2014年第6期|1343-1358|共16页
  • 作者

    L. Cui; Y. P. Li; G. H. Huang; Y. Huang;

  • 作者单位

    Sino-Canada Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China;

    Sino-Canada Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China;

    MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, North China Electric Power University, Beijing 102206, China;

    State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    DEM resolution; hydrologic modeling; TOPMODEL; topographic; uncertainty;

    机译：DEM分辨率;水文模拟;超模;地形不确定;

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