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基于CMIP6气候模式的丹江流域未来径流变化OA

Future Runoff Changes in Danjiang River Basin Based on CMIP6 Climate Models

中文摘要英文摘要

基于丹江流域2个水文站2005-2021年的实测数据构建SWAT水文模型,使用6个全球气候模式(GCMs)在3种共享社会经济路径(SSPs)下的气象数据驱动模型.研究时段分为基准期(1963-2022年)和3个未来时期(2025-2050年、2051-2075年、2076-2100年),模拟未来气候变化情景并分析流域未来径流变化.结果表明:①SWAT模型在径流模拟中表现优异,校正后降水、最高和最低气温的相关系数分别达0.72、0.85和0.89.②2025-2100年流域气温呈显著上升趋势,降水呈波动上升趋势;SSP5-8.5情景下末期升温幅度可达7.11℃,为SSP1-2.6情景的2.72倍;SSP1-2.6情景下可能出现最大降水增幅,达11.63%.③流域年均径流呈现由近期减少转向远期增加趋势,碳排放增加使径流突变和显著增加时间延后;年内变化表现为春冬季显著增加、夏秋季减少;空间上径流增加主要集中于流域下游;研究成果可为丹江流域水资源科学管理和决策提供依据.

[Objective]As the core water source area of the Middle Route of the South-to-North Water Diversion Project,runoff variations in the Danjiang River Basin directly influence water transfer capacity and source water se-curity.Current research primarily relies on manually defined meteorological parameters,limiting scenario diversity and resulting in an insufficient scientific basis,yet studies on future runoff evolution remain scarce.This study aims to analyze the impact of future climate change on runoff in the Danjiang River Basin to provide a scientific basis for water resource management and the operation of the South-to-North Water Diversion Project.[Methods]This study first used the CN05.1 meteorological dataset and observed daily runoff data to construct and calibrate a SWAT hydrological model,simulated runoff variations during the historical period,and verified the model accuracy.On this basis,future meteorological data from six high-performing global climate models(GCMs)under three Shared Socioeconomic Pathways(SSP1-2.6,SSP2-4.5,and SSP5-8.5)of the Coupled Model Intercomparison Project Phase 6(CMIP6)were bias-corrected using the Delta method to better represent the climatic characteristics of the Danjiang River Basin.Meanwhile,the PLUS model was applied to simulate two land use change scenarios to reflect potential future land use dynamics.The bias-corrected climate data were then combined with different land use sce-narios and input into the SWAT model to simulate the spatiotemporal evolution of future runoff.[Results](1)The SWAT model demonstrated excellent performance in simulating monthly streamflow at Jingziguan and Danfeng sta-tions,with R2 values exceeding 0.9 and NSE values above 0.8.The GCMs accurately captured the evolution pat-terns of temperature extremes and precipitation in the region,with correlation coefficients exceeding 0.85 for tem-perature and 0.7 for precipitation.(2)In the future,both temperature and precipitation in the Danjiang River Ba-sin were projected to increase.Across all scenarios,temperature increases followed the pattern:late period>mid pe-riod>near period,with the most pronounced change under the high carbon scenario,where the late-period tempera-ture rise reached 7.11℃,2.72 times that under the low carbon scenario.Precipitation generally showed a continu-ous upward trend,with the largest increase(11.63%)under the low carbon scenario.The fastest increase occurred in summer,while winter precipitation under the low carbon scenario increased by 10.38%.(3)Runoff in the Dan-jiang River Basin exhibited significant spatiotemporal variability.The annual average runoff shifted from a decrease in the near period to an increase in the far period.Seasonal variations indicated significant increases in spring and winter,and decreases in summer and autumn,with the most pronounced increases in January and December and the most notable decreases in July and September.Spatially,downstream runoff increased markedly,with wide-spread growth in the mid to far period under the low carbon scenario,and prolonged decreases under the high car-bon scenario.[Conclusion](1)In the near term,the annual average runoff shows a downward trend with frequent fluctuations.Under the medium carbon scenario,the maximum annual runoff reduction reaches 25.32%.The high carbon scenario exhibits 16 abrupt changes during the study period without stable recovery,resulting in coexisting risks of extreme floods and droughts due to long-term runoff variability.(2)In the mid to long term,runoff general-ly recovers,although significant differences remain among scenarios.Under the low and medium carbon scenarios,runoff increases by up to 20.34%,which supports water supply security for the South-to-North Water Diversion Middle Route Project and meets the water demand of the basin's ecosystems.In contrast,under the high carbon scenario,runoff increases by less than 1.00%,and supply risks persist.(3)The low carbon scenario is most favor-able for the long-term development of the basin,while the high carbon scenario poses the greatest risks.Runoff re-covery occurs earliest under the low carbon scenario,ensuring ecological water demand and water security.By con-trast,under the high carbon scenario,recovery is slow,and fluctuations are frequent,increasing the probability of extreme droughts or floods.

黄进;邱波;安慧;程晨;吴海林

三峡大学水电工程施工与管理湖北省重点实验室,湖北宜昌 443002||三峡大学经济与管理学院,湖北宜昌 443002三峡大学水电工程施工与管理湖北省重点实验室,湖北宜昌 443002||三峡大学水利与环境学院,湖北宜昌 443002三峡大学水电工程施工与管理湖北省重点实验室,湖北宜昌 443002||三峡大学水利与环境学院,湖北宜昌 443002三峡大学水电工程施工与管理湖北省重点实验室,湖北宜昌 443002||三峡大学水利与环境学院,湖北宜昌 443002三峡大学水电工程施工与管理湖北省重点实验室,湖北宜昌 443002||三峡大学水利与环境学院,湖北宜昌 443002

建筑与水利

气候模式SWAT模型径流量预测未来径流模拟丹江流域

climate modelSWAT modelrunoff predictionfuture runoff simulationDanjiang River Basin

《长江科学院院报》 2026 (4)

61-70,10

湖北省哲学社会科学基金重大项目(23ZD152)湖北省重点实验室开放基金项目(2023KSD10)全国统计科学研究重点项目(2024LZ006)

10.11988/ckyyb.20250195

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