基于SWAT模型的旬河流域气候变化水文响应研究
Simulation of the Hydrological Response of Xunhe River Basin to Climate Change Using the SWAT Model
投稿时间:2019-06-03  修订日期:2021-05-18
中文关键词:旬河流域  气候变化  SWAT模型  径流模拟
英文关键词:Xunhe River basin  climate change  Soil Water Assessment Tool  runoff simulation
基金项目:国家自然科学基金(31600377,31700462);科技基础性工作专项“南水北调(中线)水源地生物群落环境调查”(2015FY110400)
作者单位
梅嘉洺 西藏大学青藏高原生态与环境研究中心西藏 拉萨 850000 西藏大学理学院西藏 拉萨 850000 中国科学院武汉植物园水生植物与流域生态重点实验室湖北 武汉 430074 
唐亚男 中国科学院武汉植物园水生植物与流域生态重点实验室湖北 武汉 430074 中国科学院大学北京 100049 
李 仪 中国科学院武汉植物园水生植物与流域生态重点实验室湖北 武汉 430074 中国科学院大学北京 100049 
刘 洋 中国科学院武汉植物园水生植物与流域生态重点实验室湖北 武汉 430074中国科学院大学北京 100049 
姜庆虎 中国科学院武汉植物园水生植物与流域生态重点实验室湖北 武汉 430074 
陈 玺 长江水利委员会水文局湖北 武汉 430010 
摘要点击次数: 494
全文下载次数: 73
中文摘要:
      径流量是体现流域水量特征的重要尺度。旬河作为汉江上游的主要支流,其径流量变化直接关系到丹江口水库(南水北调中线工程水源地)的储水量。以历史时期(1995-2015年)旬河流域实测径流量数据为基础,驱动SWAT水文模型,定量探究旬河流域径流量对气候变化的响应。结果表明:在校准期和验证期相关系数(R2)分别为0.85和0.87,Nash-Sutteliffe效率系数(NSE)分别为0.85、0.84,认为该模型对旬河流域径流量模拟结果良好。采用英国Hadley气候中心预测的未来气候模式RCP2.6、RCP4.5、RCP6.0、RCP8.5于2036-2055年的气象数据,作为4种未来气候情景。分析模拟结果发现:在历史气候情景下,第三季度降水量对全年径流量贡献度最大,且第四季度的径流量对第三季度的降水量存在一定滞后效应。在RCP8.5情景下,雨季将提前且持续周期延长。研究成果可给政策部门在水资源宏观调控、极端气候预防和防洪减灾等方面提供参考。
英文摘要:
      Runoff is important for characterizing the water resources of a watershed and the climatic factors primarily affecting runoff are precipitation and temperature. The frequency of extreme climate events such as extreme precipitation and extreme drought has been increasing in some parts of China, seriously threatening economic development and the security of local residents. Xunhe River is one of the main tributaries of the upper Hanjiang River and variation of runoff from the basin has important impacts on water input to Danjiangkou Reservoir, consequently affecting source water in the middle route of the South-to-North Water Diversion Project. It is therefore necessary to conduct a systematic, quantitative study of the response of basin runoff to anticipated climate change scenarios. To begin, a SWAT hydrologic model was constructed to simulate runoff in Xunhe River basin, based on monthly runoff data (1995-2015) recorded at the Xiangjiaping Hydrological Station. Data from 1998-2008 was used for calibration and data from 2009-2015 was used for validation. The correlation coefficient (R2) was 0.85 for the calibration period and 0.87 for the validation period, and the respective Nash-Sutcliffe efficiency coefficients (NSE), indicating the reliability of the SWAT model, were 0.85 and 0.84. Runoff was then simulated in the Xunhe River basin for the period 2036-2055 using four climate scenarios predicted by the UK Hadley Climate Center (RCP2.6, RCP4.5, RCP6.0 and RCP8.5). Under the RCP climate scenarios, precipitation and temperature are both higher than historically and runoff presented an increasing trend. Precipitation during the third quarter contributed most to the annual runoff, while runoff in the fourth season decreased. Under climate scenario RCP8.5, the rainy season comes earlier and lasts longer. The simulation results for these scenarios can be referenced by policymakers for regulating water resources, mitigating extreme climatic events, flood control and disaster reduction.
梅嘉洺,唐亚男,李 仪,刘 洋,姜庆虎,陈 玺.2021.基于SWAT模型的旬河流域气候变化水文响应研究[J].水生态学杂志,42(3):7-13.
查看全文  查看/发表评论  下载PDF阅读器
Copyright © 2008 《水生态学杂志》编辑部 地址:湖北省武汉市雄楚大街578号 
邮编:430079 电话:027-82926630 E-mail: sstx@mail.ihe.ac.cn  京ICP备09084417号