基于Budyko假设的珠江流域年径流变化归因
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北京师范大学文理学院地理系(珠海校区)

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P333

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广东省基础与应用基础研究重大项目;国家自然科学基金项目;北京师范大学珠海校区重大科研项目配套经费资金资助


Attribution Analysis of Annual Runoff Changes in the Pearl River Basin Based on Budyko Hypothesis
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Department of Geographic Science, College of Arts and Sciences, Beijing Normal University at Zhuhai

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    摘要:

    本研究采用中国天然径流量格点数据集(CNRD v1.0)和中国区域地面气象要素驱动数据集(CMFD),在对珠江流域径流特征分析的基础上,结合Mann-Kendall(MK)检验与Budyko假设,探究珠江流域1979—2018年年径流深(R )的变化趋势,并对其变化进行归因。结果表明:(1)珠江流域平均R为887.7 mm,呈东多西少的分布格局;产流效率较高,平均径流系数为57.8 %。(2)流域东部和西部的R以下降趋势为主,显著下降网格占比5.7 %;流域中部以上升趋势为主,显著上升网格占比2.5 %。流域整体呈不显著上升趋势,变化速率为0.81 mm/a。(3)由敏感性分析可知,珠江流域R与降水量(P)变化成正相关、与潜在蒸散量(ET0)和下垫面参数(ω)的变化成负相关。R的变化对P的变化最敏感,P平均每变化1.0 %,R增加1.2 %~2.2 %。(4)流域内P和ω为珠江流域R变化的主导因素,贡献率分别为55.4 %和47.1 %,而ET0对R变化的贡献较小,贡献率仅为-4.3 %。研究结果可为气候变化背景下珠江流域水资源的合理开发与利用提供参考依据。

    Abstract:

    Based on the Mann-Kendall (MK) test and Budyko hypothesis, this study utilized the China Natural Runoff Dataset (CNRD v1.0) and the China Meteorological Forcing Dataset (CMFD) to analyze the characteristics of annual runoff depth (R) in the Pearl River Basin from 1979 to 2018 and attributed the observed changes. The results are as follows: (1) The average R in Pearl River basin is 887.7 mm, exhibiting a spatial distribution pattern of higher values in the east and lower in the west. The basin has high runoff production efficiency, with an average runoff coefficient of 57.8 %. (2) In the eastern and western regions of the basin, R generally shows a decreasing trend, with 5.7% of grids exhibiting significant decreases. In contrast, the central part of the basin predominantly shows increasing trends, with 2.5% of grids exhibiting significant increases. Overall, the basin shows an insignificant increasing trend in R, with a change rate of 0.81 mm/a. (3) Sensitivity analysis shows that, R in the Pearl River basin is positively correlated with precipitation (P) changes, negatively correlated with potential evapotranspiration (ET0) and underlying surface parameter (ω) changes. Among these factors, R is most sensitive to changes in P. For every 1.0% change in P, R increases by 1.2% to 2.2%. (4) P and ω are the primary driving factors of changes in R in the Pearl River basin, contributing 55.4 % and 47.1 %, respectively. In contrast, ET0 has a smaller impact, with a contribution of only -4.3 %. The findings of this study provide a valuable scientific reference for the rational development and utilization of water resources in the Pearl River Basin under the context of climate change.

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  • 收稿日期:2024-08-27
  • 最后修改日期:2025-02-17
  • 录用日期:2025-02-19
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