...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Nordic hydrology >Analysis of interactive effects of DEM resolution and basin subdivision level on runoff simulation in Kaidu River Basin, China
【24h】

Analysis of interactive effects of DEM resolution and basin subdivision level on runoff simulation in Kaidu River Basin, China

机译：DEM分辨率与流域细分水平对开都河流域径流模拟的交互影响分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Uncertainties in spatial data associated with basin topography, drainage networks, and land cover characteristics may affect the performance of runoff simulation. Such uncertainties are mainly derived from selection of digital elevation model (DEM) resolution and basin subdivision level. This study focuses on assessing the effects of DEM resolution and basin subdivision level on runoff simulation with a semi-distributed land use-based runoff process model. Twenty-four scenarios based on various DEM resolutions and subdivision levels are analyzed for the Kaidu River Basin. Results can be used for quantifying the uncertainty of input data about spatial information on model simulation, disclosing the interaction between DEM resolution and subdivision level, as well as identifying the optimal system inputs. Results show that the model performance could be enhanced with the increased subdivision level. Results also reveal that the interaction of DEM resolution and subdivision level has slight effects on modeling outputs. Multi-objective fuzzy evaluation is used to further examine the uncertainty in DEM resolution and basin subdivision level on model performance. The results indicate an optimal combination of input parameters is suitable for Kaidu River Basin which could lead to more reliable results of the hydrological simulation.
机译：与流域地形，排水网络和土地覆盖特征相关的空间数据的不确定性可能会影响径流模拟的性能。这种不确定性主要来自数字高程模型（DEM）分辨率和盆地细分水平的选择。这项研究着重于评估基于半分布式土地利用的径流过程模型的DEM分辨率和流域细分水平对径流模拟的影响。针对开都河流域，分析了基于各种DEM分辨率和细分级别的二十四种方案。结果可用于量化有关模型仿真中有关空间信息的输入数据的不确定性，公开DEM分辨率与细分级别之间的相互作用以及确定最佳系统输入。结果表明，随着细分级别的增加，模型性能可以得到增强。结果还表明，DEM分辨率和细分级别的交互对建模输出影响很小。多目标模糊评估用于进一步检验DEM分辨率和盆地细分水平对模型性能的不确定性。结果表明，输入参数的最佳组合适用于开都河流域，这将使水文模拟的结果更加可靠。

著录项

  • 来源
    《Nordic hydrology》 |2017年第4期|1100-1117|共18页
  • 作者

    J.Sun; Y.P.Li; G.H.Huang; C.X.Wang;

  • 作者单位

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

    School of Environment,Beijing Normal University,Beijing 100875,China;

    School of Environment,Beijing Normal University,Beijing 100875,China;

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

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

    basin subdivision; DEM; hydrological modeling; interaction analysis; SLURP; uncertainty;

    机译：盆地细分;DEM;水文模拟;相互作用分析;SLURP;不确定;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号