帮助 关于我们

返回检索结果

SWAT模型在漳卫河流域应用研究
Applications of SWAT model in Zhang Wei River Basin

查看参考文献12篇

朱新军 1   王中根 2   李建新 1   于磊 1   王金贵 1  
文摘 漳卫河流域是海河流域重要组成水系,也是我国北方地区水资源短缺和水环境恶化的典型区域之一。本文基于SWAT(Soil and Water Assessment Tool)构建漳卫河流域分布式水文模型,对模型的几个重要参数进行敏感性分析,总结出其取值变化对模拟结果的影响规律。并应用2000~2004年的水文气象数据,进行分布式水文过程模拟,将模拟结果与8个行政区划的水资源公报数据进行对比分析。结果显示模拟相对误差在10%以内,能够为水资源管理提供重要参考。研究成果对于SWAT模型在国内的应用和推广,具有很好的示范性。也为海河全流域分布式水文模型的研制奠定了基础。
其他语种文摘 Zhang Wei River Basin lies on the south of Hai River Basin, and it is one of the typical areas in north china that experiencing water shortage and water environment deterioration. Based on SWAT (Soil and Water Assessment Tool), Zhang Wei River Basin distributed hydrological model is established. Based on DEM (100m * 100m) , considering location of hydro-logic stations and four Large reservoirs, Zhang Wei River Basin was delineated into 74 sub basins and 940 Hydrological Response Unit (HRU). Topographic characteristics of each sub basin including slop and river networks are extracted automatically from DEM. The basic data including DEM, soil data, rainfall, weather data, land use and reservoir out flow data of Zhang Wei River Basin are collected and processed for the model. The soil and land use data are reclassified for the model and the soil physical properties database is created. The distributed hydro-process is simulated by using the hydro meteorological data from 2000 to 2004. SWAT model is calibrated with observed data from six principal hydrologic stations in Zhang Wei River Basin and the important parameters sensitivity is analyzed and the laws that changing some important parameters how to affect model results are discovered. The reliability of the SWAT model is validated by comparing the model outputs with Water Resource Reports. The mean relative error is less than 10%. The study results in this paper make a good demonstration for applying SWAT model in China, and lay a good foundation for establishment of whole Hai River basin distributed hydrological model.
来源 地理科学进展 ,2006,25(5):105-111 【核心库】
关键词 SWAT模型 ; 漳卫河流域 ; 参数率定 ; 参数灵敏性分析
地址

1. 水利部海河水利委员会, 天津, 300181  

2. 中国科学院地理科学与资源研究所, 中国科学院陆地水循环及地表过程重点实验室, 北京, 100101

语种 中文
文献类型 研究性论文
ISSN 1007-6301
学科 系统科学;地球物理学
基金 全球环境基金(GEF)项目
文献收藏号 CSCD:2536749

参考文献 共 12 共1页

1.  王中根. SWAT模型的原理、结构及应用研究. 地理科学进展,2003,22(1):79-86 被引 185    
2.  张银辉. SWAT模型及其应用研究进展. 地理科学进展,2005,24(5):121-130 被引 42    
3.  水利部海委漳卫南运河管理局. 漳卫南运河水系水资源保护规划综合报告,1989 被引 2    
4.  . 海河流域大型水库,1982 被引 1    
5.  Hotchkiss R H. Regulated river modeling for climate change impact assessment:the Missouri river. Journal of the American Water Resources Association,2000,36(2):375-386 被引 7    
6.  Neitsch S L. Soil and water assessment tool theoretical manual,2002 被引 10    
7.  Arnold J G. Estamating Hydrologic Budgets for Three Illinois Watersheds. Journal of Hydrology,1996,176(1):57-77 被引 47    
8.  Srinivasan R. Large Area Hydrologic Modeling and Assessment PartⅡ:Model Application. Journal of American Water Resources Association(JAWRA),1998,34(1):91-101 被引 17    
9.  Santhi C. Application of a Watershed Model to Evaluate Management Effects on Point and Nonpoint Source Pollution. Transactions of the American Society of Agricultural Engineers,2001,44(6):1559-1570 被引 13    
10.  Arnold J G. Regional Estimation of Base Flow and Groundwater Recharge in the Upper Mississippi Basin. Journal of Hydrology,2000,227(1):21-40 被引 26    
11.  Arnold J G. Automated Methods for Estimating Base flow and Ground Water Recharge from Stream flow Records. Journal of the American Water Resources Association(JAWRA),1999,35(2):411-424 被引 53    
12.  Kirsch K J. Predicting Sediment and Phosphorus Loads in the Rock River Basin Using SWAT. Transactions of the American Society of Agricultural Engineers,2002,45(6):1757-1769 被引 2    
引证文献 29

1 王中根 分布式水文模型的参数率定及敏感性分析探讨 自然资源学报,2007,22(4):649-655
被引 44

2 于涛 我国非点源负荷研究中的问题探讨 环境科学学报,2008,28(3):401-407
被引 33

显示所有29篇文献

论文科学数据集
PlumX Metrics
相关文献

 作者相关
 关键词相关
 参考文献相关

版权所有 ©2008 中国科学院文献情报中心 制作维护:中国科学院文献情报中心
地址:北京中关村北四环西路33号 邮政编码:100190 联系电话:(010)82627496 E-mail:cscd@mail.las.ac.cn 京ICP备05002861号-4 | 京公网安备11010802043238号