文章摘要
张 杰,贾绍凤.基于SWAT模型的湟水流域蓝绿水与不同土地利用类型的绿水差异研究Journal of Water Resources and Water Engineering[J].,2013,24(4):6-10
基于SWAT模型的湟水流域蓝绿水与不同土地利用类型的绿水差异研究
Study on difference of blue-green water in Huangshui basin and green water under different types of land use based on SWAT model
Received:March 19, 2013  Revised:March 31, 2013
DOI:10.11705/j.issn.1672-643X.2013.04.002
中文关键词: 蓝绿水  SWAT模型  土地利用  湟水流域
英文关键词: blue-green water  SWAT model  land use  Huangshui basin
基金项目:国家自然科学基金项目(40971298); 首都师范大学实验室开放基金(S120418); 首都师范大学研究生创新基金。
Author NameAffiliation
ZHANG Jie College of Resource Environment and Tourism, Capital Normal University, Beijing 100048,China 
JIA Shaofeng Institute of Geographical Sciences and Natural Resource Research, CAS, Beijing 100101,China [KH*3D] 
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中文摘要:
      蓝绿水的时空分布直接关系到一个地区的水资源与粮食安全。本文利用SWAT分析了1981-2000年间蓝绿水随时间的变化规律以及不同土地利用类型绿水分异规律。研究表明:1981-2000年间湟水流域蓝绿水均来源于降水,绿水资源约为蓝水的3.8倍;年均绿水流在不同的土地利用类型中差异明显,农业用地最大,居民用地最小;绿水贮存量较为丰富的是湿地和中低覆盖度的草甸;选取1981-1985年和1996-2000年分别为研究的前期和后期,得到农业用地的绿水流、绿水贮存变化量与作物生长周期和管理条件密切相关。
英文摘要:
      The spatial and temporal distribution of blue-green water is directly related to a region''s water resources and food security. This paper analyzed the law of time variation of blue-green water and distribution pattern of green water in different types of land use based on SWAT model during the period 1981-2000. The study showed that in huangshui basin the blue-green water is from precipitation. Compared to the blue water, The amount of green water is about 3.8times as large as that of green water. The differentiation of average annual green water flow is obvious in different types of land use, agriculture land is the largest, used land of residents is the minimum. The storage volume of Green water is relative rich in wetland and low coverage pasture. Taking 1981to 1985and 1996to 2000respectively as the former and the latter period, the paper got that the green water resources of land used by agriculture, the amount of change of green water storage was closed related to crop growth cycle and management condition.
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