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半湿润流域蓄满超渗空间组合模型研究

李致家 黄鹏年 张永平 姚成 颜梅春 霍文博

人民黄河Issue(10):1-6,34,7.
人民黄河Issue(10):1-6,34,7.DOI:10.3969/j.issn.1000-1379.2015.10.001

半湿润流域蓄满超渗空间组合模型研究

Study on Spatial Combination Model of Infiltration-Excess and Saturation-Excess Runoff in Semi-Humid Watersheds

李致家 1黄鹏年 1张永平 2姚成 1颜梅春 3霍文博1

作者信息

  • 1. 河海大学水文水资源学院,江苏南京210098
  • 2. 黄河水利委员会水文局,河南郑州450004
  • 3. 河海大学地球科学与工程学院,江苏南京210098
  • 折叠

摘要

Abstract

There exist two types of runoff producing mechanisms in semi-humid areas:saturation-excess runoff and infiltration-excess runoff. It has always been a difficult problem for hydrological forecasting to distinguish the two types of runoff processes. Based on the concept of dominant runoff processes,combined with GIS and RS technologies,this paper proposed the spatial combination model of infiltration-excess and saturation-excess runoff (SCM)to solve this problem. The SCM adopted the CN value and topographic index,both of which were widely used in hydrological researches,to divide the semi-humid watershed into infiltration-excess dominated areas and saturation-excess dominated areas. Dongwan watershed was taken as an example to test the performances of infiltration excess model,saturation excess model and SCM. The result of parameter optimization shows that the parameter value of single runoff models deviate from factual conditions,while that of SCM is close to. The more accurate the division of infiltration-excess and saturation-excess dominated areas,the more realistic the SCM parameter values are. The simulation result shows that the performance of SCM is improved in both calibration and validation periods. In addition, compared to single runoff models in validation period,the performance of SCM is more stable.

关键词

地形指数/CN值/空间组合模型/蓄满产流/超渗产流/半湿润流域

Key words

topographic index/CN/spatial combination model/saturation-excess runoff/infiltration-excess runoff/semi-humid watersheds

分类

天文与地球科学

引用本文复制引用

李致家,黄鹏年,张永平,姚成,颜梅春,霍文博..半湿润流域蓄满超渗空间组合模型研究[J].人民黄河,2015,(10):1-6,34,7.

基金项目

国家自然科学基金资助项目(41130639,51179045);水利部公益性行业科研专项(201501022,201301068)。 ()

人民黄河

OA北大核心CSTPCD

1000-1379

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