位置:成果数据库 > 期刊 > 期刊详情页
基于SWAT模型的长江源区径流模拟
  • 期刊名称:西北林学院学报(国内核心)2012 已接收
  • 时间:0
  • 分类:S718.512.3[农业科学—林学]
  • 作者机构:[1]中国地震应急搜救中心,北京100049, [2]中国科学院地理科学与资源研究所,北京100101, [3]中国科学院新疆生态与地理研究所,新疆乌鲁木齐830011
  • 相关基金:国家自然科学基金项目(40801006)致谢:本文中的大量数据来自中国科学院地理科学与资源研究所,尤其是径流数据得到中国科学院地理科学与资源研究所区域环境变化综合探测与模拟研究室支持,在此表示感谢.
  • 相关项目:长江源区土地覆被变化水文效应分析与模拟
中文摘要:

长江源流域位于青藏高原腹地青海省境内,是气候变化的敏感区,其流域径流量的变化对区域经济发展和三江源生态环境保护具有重要的意义。SWAT模型是基于水文过程的,具有很强物理机制的流域分布式水文模型。利用长江源区1975-2004年气象数据、水文数据以及土地覆被/土地利用图、土壤图等数据构建了适合长江源区的SWAT水文模型。结果表明,模型对模拟的月流量相对误差为10.6%,相关系数R2和Nash Suttcliffe系数Ens〉0.7。表明模型在长江源流域对产流模拟的适用性较好,为长江源流域建立分布式流域水文模型提供了参考。

英文摘要:

The catchment of headwaters of the Yangtze River is located within Qinghai Province of Tibetan Plateau. The catchment is sensitive to the climate changes and the runoff is vitally important to the region- al development and ecology protection in the headwaters of the "Three River" areas. The soil and water as- sessment tool (SWAT) is a distributed model that is based on the hydrology process. We built a distribu- ted hydrological model suitable for describing the headwaters of the Yangtze River basin based on the SWAT model with meteorological data, hydrology data, land use/land cover and soil texture data. The simulation based on 1975--2004 data in the basin was successful. The relative error of the simulation (RE) of monthly runoff was 10.6% compared to the observed data. The Nash efficiency coefficient (Ens) and 172 were both larger than 0.7, indicating that the simulated results were reliable, and could provide the refer- ences for developing distributed models in the Headwaters of the Yangtze River basin.

同期刊论文项目
同项目期刊论文