长江流域资源与环境 >> 2023, Vol. 32 >> Issue (4): 774-782.doi: 10.11870/cjlyzyyhj202304009

• 自然资源 • 上一篇    下一篇

Budyko框架下白河流域径流演变及其归因分析

李敏欣1,2,邹磊1*,夏军1,3,王飞宇1,王志伟4   

  1. (1.中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室,北京 100101;2.中国科学院大学,北京 100049;3.武汉大学水资源与水电工程科学国家重点实验室,湖北 武汉 430072;4.江苏省水利勘测设计研究院有限公司,江苏 扬州 225127)

  • 出版日期:2023-04-20 发布日期:2023-04-27

Analysis of Runoff Change and Its Attribution in the Baihe River Basin Under the Budyko Framework

LI Min-xin1,2, ZOU Lei1, XIA Jun1,3, WANG Fei-yu1 , WANG Zhi-wei4   

  1. (1. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences, Beijing 100101, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China;4. Jiangsu Surveying and Design Institute of Water Resources Co., Ltd., Yangzhou 225127, China)
  • Online:2023-04-20 Published:2023-04-27

摘要: 明晰径流演变及其驱动力对流域水资源可持续利用具有重要意义。以白河流域为研究区,基于TFPW-MK趋势检验法分析了研究区1982~2018年水文气象、植被和社会经济等多要素的演变趋势,并进一步利用考虑多要素时变特征的Budyko框架量化了多要素对径流变化的贡献率。结果表明:(1)近37年来,白河流域径流以-2.83 mm/a的速率减少;Budyko水热耦合参数n呈波动变化,总体以0.041/10 a的速率增加;(2)参数n与降水量及工农业用水量相关性较高,拟合度R2达0.97。引入时变参数n可提升径流模拟效果;(3)白河流域径流对降水变化最为敏感,对工业用水量最不敏感;1991~2018年间降水对径流减少的贡献率由78.7%逐步降低至20.8%,而潜在蒸散量与农业用水量对径流减少的贡献率则逐步增加,分别由7.6%和4.1%增加至17.4%和37.5%;(4)研究时期内气候变化对径流的影响逐渐减弱,其贡献率由86.3%减少至38.3%。

Abstract: Clarifying runoff change and its driving forces is important for the sustainable utilization of water resources in the basin. Taking the Baihe River basin as the study area, this paper analyzed the trends of multi-factors including hydrometeorological, vegetation and socio-economic factors in the study area from 1982 to 2018 based on the TFPW-MK trend test method. In addition, a Budyko framework considering the time-varying characteristics of multi-factors was constructed to quantify the contribution of various factors to runoff change. The results showed that: (1) The runoff of the Baihe River basin decreased at the rate of -2.83 mm/a in the past 37 years; the hydrothermal coupling parameter n in the Budyko framework fluctuated and increased at the rate of 0.041/10 a overall. (2) The parameter n had a high correlation with precipitation, industrial and agricultural water consumption, with the coefficient of determination (R2) of 0.97. The introduction of the time-varying parameter n can improve the runoff simulation effect. (3) Runoff in the Baihe River basin was most sensitive to precipitation and least sensitive to industrial water consumption; the contribution of precipitation to runoff reduction gradually decreased from 78.7% to 20.8% during 1991-2018, while the contribution of potential evapotranspiration and agricultural water consumption to runoff reduction gradually increased, from 7.6% and 4.1% to 17.4% and 37.5%, respectively. (4) The impact of climate change on runoff gradually decreased during the study period, with its contribution decreasing from 86.3% to 38.3%.

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