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[1]YAN Weiqing,LIU Ji,ZHAO Xinrui,et al.Attribution of Runoff Variation in Jinxi Basin Based on Budyko Hypothesis[J].Research of Soil and Water Conservation,2023,30(03):121-126.[doi:10.13869/j.cnki.rswc.2023.03.055]

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Attribution of Runoff Variation in Jinxi Basin Based on Budyko Hypothesis

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 03 Page number: 121-126 Column: Public date: 2023-04-10

Title:: Attribution of Runoff Variation in Jinxi Basin Based on Budyko Hypothesis

Author(s):: YAN Weiqing^1,2,3, LIU Ji^1,2,3, ZHAO Xinrui^1,2,3, YANG Shaokang^1,2,3, SHU Zhangkang^4,5, DONG Xiaohua^1,2,3, LIU Yanli^4,5; (1.Engineering Research Center of Eco-environment in Three Gorges Reservoir Region,Ministry of Education,Yichang,Hubei 443002,China; 2.Hubei Collaborative Innovation Center for Water Resources Security,Wuhan 430072,China; 3.College of Hydraulic and Environmental Engineering,China Three Gorges University,Yichang,Hubei 443002,China; 4.Research Center for Climate Change,Ministry of Water Resources,Nanjing 210029,China; 5.State Key Laboratory of Hydrology,Water Resources and Hydraulic......)

Keywords:: runoff change; attribution analysis; Budyko equations; Jinxi Basin; NDVI

CLC:: P339

DOI:: 10.13869/j.cnki.rswc.2023.03.055

Abstract:: [Objective]To explore the characteristics and causes of runoff change in Jinxi Basin plays an important guiding role in reservoir operation and water resources management. [Methods]Based on the meteorological and hydrological data and Normalized Difference Vegetation Index(NDVI)data from 1982 to 2015, linear regression method, Mann-Kendall mutation test and sliding T mutation test were used to analyze the characteristics of runoff change. The contribution rate of each influencing factor to runoff change was calculated by using Budyko coupled equilibrium equation. [Results]The results show that the annual runoff depth and rainfall in Jinxi Basin had no significant upward trend, with the changing rates of 3.89 mm/a and 8.43 mm/a, respectively; the potential evapotranspiration showed a significant upward trend at a rate of 1.17 mm/a; through mutation test, the runoff series of Jinxi Basin could be divided into the base period from 1982 to 2002 and the change period from 2003 to 2015; attribution analysis of runoff change in Jinxi Basin showed that the contribution rate of underlying surface change to runoff change was 123.55%, the contribution rate of potential evapotranspiration was 33.83%, and the contribution rate of rainfall was -57.38%. [Conclusion]The change of underlying surface of the basin is mainly due to the significant improvement of vegetation situation in which the increase rate of NDVI is 0.005/10 a in the base period and 0.024/10 a in the change period.

References:: [1] 申滔滔,任政,颜金玲,等.基于Budyko假设的匡门口流域径流变化归因分析[J].水利科技与经济,2021,27(3):48-52.
[2] 蔺彬彬,张亚琼,郭维维.基于Budyko假设的汾河上游水源区径流衰减归因分析[J].中国农村水利水电,2021(6):86-90.
[3] 彭涛,梅子祎,董晓华,等.基于Budyko假设的汉江流域径流变化归因[J].南水北调与水利科技(中英文),2021,19(6):1114-1124.
[4] 王丽君.中国中东部流域的径流变化规律研究[D].北京:清华大学,2018.
[5] 郭生练,郭家力,侯雨坤,等.基于Budyko假设预测长江流域未来径流量变化[J].水科学进展,2015,26(2):151-160.
[6] 刘剑宇,张强,陈喜,等.气候变化和人类活动对中国地表水文过程影响定量研究[J].地理学报,2016,71(11):1875-1885.
[7] 张丽梅,赵广举,穆兴民,等.基于Budyko假设的渭河径流变化归因识别[J].生态学报,2018,38(21):7607-7617.
[8] 杨林,赵广举,穆兴民,等.基于Budyko假设的洮河与大夏河径流变化归因识别[J].生态学报,2021,41(21):8421-8429.
[9] 罗志勇,杨炳良,管晓祥,等.不同水文模型在金溪流域的模拟与适应性研究[J].华北水利水电大学学报:自然科学版,2018,39(3):6-12.
[10] 周金玉,张璇,许杨,等.基于Budyko假设的滦河流域上游径流变化归因识别[J].南水北调与水利科技(中英文),2020,18(3):15-30,47.
[11] 金君良,舒章康,陈敏,等.基于数值天气预报产品的气象水文耦合径流预报[J].水科学进展,2019,30(3):316-325.
[12] 范松克,郝成元.2001—2016年河南省NDVI时空变化特征分析[J].江苏农业学报,2019,35(4):860-867.
[13] 王亚慧,黄鹏年,李致家,等.不同蒸发数据在降雨径流模拟中的适用性[J].南水北调与水利科技(中英文),2020,18(3):48-56.
[14] Kendall M G.Rank Correlation Methods[J]. British Journal of Psychology,1990,25(1):86-91.
[15] 黄蓉,张建梅,林依雪,等.新安江上游流域径流变化特征与归因分析[J].自然资源学报,2019,34(8):1771-1781.
[16] Frei C, Schar C. Detection probability of tend in rare events: Theory and application heavy precipitaon in the Alpine region[J], Journal of Climate, 2001,14(7):1568-1584.
[17] 刘海金.1960—2016年辽河流域极端降水时间序列变化[J].河北环境工程学院学报,2020,30(4):83-89.
[18] 刘洋,陈菡,谭学志.基于Budyko理论的韩江流域径流变化敏感性分析及归因识别[J].亚热带资源与环境学报,2020,15(3):9-16.
[19] 魏榕,刘冀,张特,等.雅砻江流域中上游径流变化归因分析[J].长江流域资源与环境,2020,29(7):1643-1652.
[20] 杜嘉妮,蔡宜晴,刘希胜,等.基于Budyko假设的湟水径流变化归因识别[J].中国农村水利水电,2022(7):116-121..
[21] 张静.气候变化背景下基于Budyko假设的松花江流域蒸散发研究[D].陕西杨凌:西北农林科技大学,2019.
[22] 罗伟祥,白立强,宋西德,等.不同覆盖度林地和草地的径流量与冲刷量[J].水土保持学报,1990(1):30-35.

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Last Update: 2023-04-10