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基于SWAT模型的细河流域蓝水绿水资源量时空分布研究
引用本文:吕乐婷,王晓蕊,孙才志,张杰.基于SWAT模型的细河流域蓝水绿水资源量时空分布研究[J].长江流域资源与环境,2019,28(1):39-47.
作者姓名:吕乐婷  王晓蕊  孙才志  张杰
作者单位:辽宁师范大学城市与环境学院,辽宁大连,116029;辽宁师范大学城市与环境学院,辽宁大连,116029;辽宁师范大学城市与环境学院,辽宁大连,116029;辽宁师范大学城市与环境学院,辽宁大连,116029
基金项目:国家自然科学基金;辽宁省社科联重点项目;辽宁省社会科学规划基金
摘    要:利用SWAT(Soil and Water Assessment Tool,SWAT)模型、SUFI-2算法对细河流域水文过程进行了模拟,评估了1977~2015年及典型年份流域蓝水、绿水资源量时空间分布状况。研究结果表明:(1)细河流域多年平均水资源量953.24 mm,其中蓝水资源量290.9 mm,绿水资源量662.33 mm,流域水资源构成以绿水资源为主;(2)典型年份蓝水资源变化较大,特枯水年、平水年和特丰水年分别为86、277和656 mm;绿水系数在特枯水年、平水年和特丰水年差异亦较为明显,分别为87.12%、69.78%和49.31%;(3)在空间上,细河流域蓝水呈现由东向西减少的趋势,绿水流呈现由四周向中部减少的趋势,绿水储呈现由东向西减少的趋势,在特枯水年尤为显著。

关 键 词:细河流域  SWAT  典型年份  蓝水资源  绿水资源

Study on the Spatiotemporal Variations of Blue and Green Water Resources in Xi River Basin Using the SWAT Model
LV Le-ting,WANG Xiao-rui,SUN Cai-zhi,ZHANG Jie.Study on the Spatiotemporal Variations of Blue and Green Water Resources in Xi River Basin Using the SWAT Model[J].Resources and Environment in the Yangtza Basin,2019,28(1):39-47.
Authors:LV Le-ting  WANG Xiao-rui  SUN Cai-zhi  ZHANG Jie
Institution:(Urban and Environmental Science, Liaoning Normal University, Dalian 116029,China)
Abstract:The spatiotemporal distribution of blue and green water resources in Xi River Basin from 1977 to 2015 are simulated using the Soil and Water Assessment Tool (SWAT) model and the SUFI-2 algorithm. The results show that (1) The average water resources in Xi River Basin are 953.24 mm, of which the blue water resources are 290.9 mm and green water resource are 662.33 mm. Water resources of Xi River Basin are mainly green water. (2) Blue water resources in Xi River Basin change greatly in typical years. Which are 86mm, 277mm and 656mm in dry years, normal year and wet years respectively. There are also differences in green water coefficient in typical years, which are 87.12%, 69.78% and 49.31% respectively. (3)Blue water resources in Xi River Basin shows a trend of decrease from east to west. While green water resources shows a trend of decrease from the edge to the center. The green water storage shows a trend of decrease from east to west, especially in dry years.
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