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基于土壤地形指数和下垫面水文分区的流域模型参数率定
引用本文:颜梅春,陈贝贝,李致家,金文韬,杨宇晖.基于土壤地形指数和下垫面水文分区的流域模型参数率定[J].河海大学学报(自然科学版),2015,43(3):197-202.
作者姓名:颜梅春  陈贝贝  李致家  金文韬  杨宇晖
作者单位:河海大学地球科学与工程学院,河海大学地球科学与工程学院,河海大学水文水资源学院,河海大学地球科学与工程学院,河海大学地球科学与工程学院
基金项目:国家自然科学基金(41130639)
摘    要:针对流域水文响应会受到地质、地形、地貌、植被、土壤等自然地理因素以及土地利用等下垫面因素综合作用的特点,根据流域下垫面的地理特征进行水文响应分区。借助遥感资料对流域下垫面进行分类并获取土地覆盖/土地利用信息,结合流域土壤类型数据与地形指数推求流域的土壤地形指数。进一步地,利用遥感分类信息和土壤地形指数进行流域的水文分区,率定各个水文分区SCS模型的参数CN值并进行水文模拟,结果表明,屯溪流域21次和东湾流域32次洪水径流模拟相对误差均比传统方法的小。

关 键 词:土壤地形指数  SCS模型参数  下垫面水文分区  遥感  屯溪流域  东湾流域
收稿时间:2014/6/27 0:00:00

Parameter calibration for watershed hydrology model based on soil topography index and hydrological partition of underlying surface
YAN Meichun,CHEN Beibei,LI Zhiji,JIN Wentao and YANG Yuhui.Parameter calibration for watershed hydrology model based on soil topography index and hydrological partition of underlying surface[J].Journal of Hohai University (Natural Sciences ),2015,43(3):197-202.
Authors:YAN Meichun  CHEN Beibei  LI Zhiji  JIN Wentao and YANG Yuhui
Institution:College of Earth Science and Engnieering, Hohai University, Nanjing 210098, China,College of Earth Science and Engnieering, Hohai University, Nanjing 210098, China,College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China,College of Earth Science and Engnieering, Hohai University, Nanjing 210098, China and College of Earth Science and Engnieering, Hohai University, Nanjing 210098, China
Abstract:Because the hydrological response of watersheds is comprehensively affected by physical geographical factors, such as geology, topography, landforms, vagetation, and soil, and underlying surface factors, such as land use, hydrological partition was conducted based on the geographical characteristics of underlying surface of watersheds. The underlying surface of watersheds was classified with remote sensing data and information on land cover and land use was obtained. By combining data of watershed agrotype and the topography index, the soil topography index was calculated. Furthermore, taking advantage of the remote sensing data and soil topography index, hydrological partition was conducted, the parameter CN of the SCS model was calibrated in every hydrological subregion, and hydrological simulation was conducted. The results showed that the relative error was less with the proposed method than with the traditional method in 21 flood runoff simulations in the Tunxi Watershed and 32 flood runoff simulations in the Dongwan Watershed.
Keywords:soil topography index  SCS model parameter  hydrological partition of underlying surface  remote sensing  Tunxi Watershed  Dongwan Watershed
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