岩溶区径流与水文干旱预估——以赤水河上游流域为例OA
Runoff and Hydrological Drought Prediction in Karst Areas:A Case Study of the Upper Chishui River Basin
探究未来赤水河上游流域径流及水文干旱变化趋势,为流域生态保护、水资源管理和旱涝灾害防控提供科学依据.基于赤水河上游2000-2019年气象水文数据等构建SWAT模型,并用第六次国际耦合模式比较计划CMIP6的5个气候模式数据,结合标准化径流指数和游程理论,预估未来(2020-2060年)2种情景气候、径流和水文干旱变化情况.结果表明:(1)茅台站月径流率定期和验证期的决定系数(R2)与纳什系数(NSE)均达到0.8以上,表明SWAT模型在该流域有较好的适用性;(2)流域未来暖湿化趋势明显,SSP1-2.6情景降水量增幅约10%,气温上升速率为0.02℃/a,SSP5-8.5情景降水量增幅大于20%,气温上升速率为0.05℃/a;(3)SSP1-2.6、SSP5-8.5情景年径流增加速率分别为0.09亿m3/a、0.15亿m3/a,前者月流量枯丰期均增加且增幅不超过15%,后者月流量丰水期增幅10%~20%,枯水期减少15%~30%;(4)SSP1-2.6情景水文干旱频率减小,春冬季偶有干旱发生;SSP5-8.5情景水文干旱略微增加,其中春冬季发生干旱的几率均增大.
In this study,we explored future trends in runoff and hydrological drought in the upper reaches of the Chishui River basin,aiming to provide a scientific basis for ecological conservation,water resource management,and flood and drought disaster prevention within the basin.Based on meteorologi-cal and hydrological data from the upper reaches of the Chishui River during 2000-2019,a Soil and Wa-ter Assessment Tool(SWAT)model was constructed.Utilizing data from five climate models of the Sixth Coupled Model Intercomparison Project(CMIP6)and incorporating the Standardized Runoff Index(SRI)and run theory,we projected changes in climate,runoff,and hydrological drought under two Shared So-cio-economic Pathway(SSP)scenarios(SSP1-2.6 and SSP5-8.5)from 2020 to 2060.Results show:(1)The monthly runoff rate at Maotai hydrological station achieved a coefficient of determination(R2)and Nash sensitivity index(NSE)exceeding 0.8 during both the calibration and validation periods,indicating that the SWAT model demonstrates good applicability in this basin.(2)In the future,the basin will become warmer and wetter.Under scenario SSP1-2.6,precipitation is projected to increase by approximately 10%,and a temperature rise of 0.2℃ per decade,while under scenario SSP5-8.5,the increase in precipita-tion will exceed 20%,accompanied by a temperature rise of 0.5℃ per decade.(3)The annual runoff will increase by 0.009 billion m³/a under scenario SSP1-2.6 and by 0.015 billion m³/a under scenario SSP5-8.5.Under scenario SSP1-2.6,the monthly runoff will increase during both dry and wet seasons,but not ex-ceeding 15%.Under scenario SSP5-8.5,the monthly runoff increases by 10%-20%during the wet sea-son,while decreasing by 15%-30%during the dry season.(4)Under scenario SSP1-2.6,the hydrologi-cal drought frequency decreases,with occasional droughts occurring in spring and winter,while under sce-nario SSP5-8.5 the hydrological drought frequency increases slightly,with a higher probability of droughts in both spring and winter.
向军;倪福全;康文东;江楠;吴明炎;岳紫莹
四川农业大学,水利水电学院,四川 雅安 625014四川农业大学,水利水电学院,四川 雅安 625014四川农业大学,水利水电学院,四川 雅安 625014四川农业大学,水利水电学院,四川 雅安 625014四川农业大学,水利水电学院,四川 雅安 625014四川农业大学,水利水电学院,四川 雅安 625014
天文与地球科学
第六次国际耦合模式比较计划径流预估水文干旱预估SWAT模型岩溶区赤水河上游流域
Sixth Coupled Model Intercomparison Project(CMIP6)runoff predictionhydrological drought predictionSoil and Water Assessment Tool modelkarst areaupper Chishui River basin
《水生态学杂志》 2026 (1)
37-48,12
四川省教育厅"农村水安全"工程研究中心项目(035Z2289).
评论