长江流域资源与环境 >> 2025, Vol. 34 >> Issue (07): 1502-.doi: 10.11870/cjlyzyyhj202507009

• 自然资源 • 上一篇    下一篇

未来不同气温与降水变化对洞庭湖四大水系入湖径流影响研究

李英海1,2,4,董世杰1,3,5,吴江3*,杨明智3,余果1,俞佳1   

  1. (1.三峡大学水利与环境学院,湖北 宜昌 443002;2. 三峡大学三峡数智研究院,湖北 宜昌 443002;3.长江水利委员会长江科学院,湖北 武汉 430010;4.华中科技大学数字流域科学与技术湖北省重点实验室,湖北 武汉,430074;5. 湖南省水利水电科学研究院,湖南 长沙 410007)
  • 出版日期:2025-07-20 发布日期:2025-07-23

Impact of Future Changes of Temperature and Precipitation on Runoff of Four Major Water Systems Into Dongting Lake

  1. (1. College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443002, China; 2. Three Gorges Digital Intelligence Institute, China Three Gorges University, Yichang 443002, China; 3. Changjiang River Scientific Research Institute, Changjiang Water Resources Commission, Wuhan 430010, China; 4. Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; 5. Hunan Institute of Water Resources and Hydropower Research, Changsha 410007, China)
  • Online:2025-07-20 Published:2025-07-23

摘要: 在全球气候变化背景下,洞庭湖四大水系入湖径流发生显著变化,进而导致洞庭湖水资源量和湖泊水文要素发生改变。为探究未来洞庭湖流域四大水系入湖径流演变规律,通过构建洞庭湖流域SWAT模型,控制未来洞庭湖流域气温与降水双变量,设置14种不同气候变化情景组合,计算分析不同气温与降水情景对洞庭湖四大水系入湖径流变化影响。研究结果表明:(1)年尺度和月尺度下,率定期与验证期纳什效率系数和相关系数模拟结果均大于合格要求,近2/3模拟结果达到优秀标准,入湖径流模拟结果月尺度好于年尺度,表明构建的SWAT模型能够较好适用于洞庭湖流域入湖径流模拟与预测;(2)通过构建14种未来不同气候变化情景组合,预测得到四大水系未来年均和月均入湖径流在不同气候情景下差异明显,入湖径流量随降水的增加而增大的变化趋势显著,随气温的升高而减少,但变化趋势不明显,表明降水变化对洞庭湖流域四大水系入湖径流影响大于气温。研究可为科学评估未来气候变化条件下洞庭湖流域水文变化趋势,合理开展水资源管理决策提供参考依据和数据支撑。

Abstract: Under the background of global climate change, the runoff of the four major river systems of Dongting Lake has changed significantly, which in turn leads to alterations in the water resources and hydrological elements of the  Lake basin. In order to explore the change trend of the runoff of the four major river systems into Dongting Lake in the future, the SWAT model of the Dongting Lake basin was established. By controlling the dual variables of temperature and precipitation, 14 different climate change scenarios were set up. calculations and analyses were conducted to assess the impact of different temperature and precipitation change scenarios on the runoff of the four major water systems into Dongting Lake. The results showed that: (1) In both annual and monthly scales, all of the simulation results of Nash efficiency coefficient and correlation coefficient for the calibration and validation periods were greater than the qualified standard, and nearly 2/3 of the simulation results met the excellent standard. The monthly simulation results of the runoff were better than those at an annual scale. The results indicated that the established SWAT model could be well applied to the simulation and prediction of the runoff. (2) It was predicted that the annual and monthly runoffs would vary significantly. The runoff increased significantly with an increased precipitation, but decreased slightly with a rising temperature. This suggested that precipitation changes had a greater impact on runoff than temperature changes. This study provided reference and data support for assessing the impact of future climate changes in hydrology and water resources of the Dongting Lake Basin and for a rational formulation of the basin development strategies.

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