PDF Download HTML

]" id="html" rel="external">HTML

[1]WANG Long,SONG Xiaoyu,LI Lanjun,et al.Variation Trend and Attribution Analysis of Runoff in Typical Small Watershed in Gully Region of the Loess Plateau[J].Research of Soil and Water Conservation,2021,28(04):48-53.

Copy

Variation Trend and Attribution Analysis of Runoff in Typical Small Watershed in Gully Region of the Loess Plateau

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 28 Number of periods: 2021 04 Page number: 48-53 Column: Public date: 2021-08-10

Title:: Variation Trend and Attribution Analysis of Runoff in Typical Small Watershed in Gully Region of the Loess Plateau

Author(s):: WANG Long¹, SONG Xiaoyu¹, LI Lanjun¹, ZHANG Ling¹, LIU Yu¹, LI Huaiyou², LI Yaolin²; (1.State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, China; 2.Xifeng Experiment Station of Soil and Water Conservation, Yellow River Conservancy Committee, Xifeng, Gansu 745000, China)

Keywords:: runoff change; double cumulative curve method; elastic coefficient method; Mann-Kendall trend test; Nanxiaohegou watershed

CLC:: P333.3

DOI:: -

Abstract:: In order to explore the driving factors of runoff change in small watershed of the Loess Plateau, improve watershed management, and realize ecological protection and high-quality development of the Yellow River Basin, Nanxiaohegou watershed, a typical small watershed for soil and water conservation on the Loess Plateau was taken as the research object. Based on the measured hydrological and land use data from 1958 to 2017, the trend analysis and abrupt change point test of precipitation and runoff data were conducted by using Mann-Kendall trend test method. Then, the attribution analysis and quantitative analysis of runoff change were conducted to explore the contribution rates of climate change and human activities to runoff change by adopting the double cumulative curve method and the elastic coefficient method. The calculation results of different methods were compared. The results show that:(1)the abrupt change point of runoff occurred in 1985; in the base period, both the precipitation and runoff showed a fluctuating trend, while the precipitation did not show a significant decrease trend in the change period; however, the runoff showed a significant decrease trend;(2)the contribution rates of climate change and human activities to runoff reduction were 7% and 93%, respectively, by the double cumulative curve method, and 42.6% and 57.4%, respectively, by the elastic coefficient method. Above all, Human activities were the main influencing factors of runoff change. Compared with the double cumulative curve method, the elastic coefficient method is more recommended for attribution analysis of runoff variation in small watershed of Loess Plateau.

References:: [1] 刘昌明,张学成.黄河干流实际来水量不断减少的成因分析[J].地理学报,2004,59(3):323-330.
[2] 河南省社科院.推动黄河流域生态保护和高质量发展,谱写新时代中原更加出彩的绚丽篇章[N].河南日报,2019-10-10(8).
[3] 陕西卷编委会.中国西部开发信息百科:陕西卷[M].西安:陕西科学技术出版社,2003.
[4] 王鸿翔,赵颖异,刘静航,等.近50年黄河下游水沙情势演变及其影响因素分析[J].水力发电,2020,46(09):48-54.
[5] 夏露,宋孝玉,李怀有,等.砚瓦川流域水沙演变特征及其驱动因素分析[J].水土保持学报,2016,30(1):89-95.
[6] 蒋观滔,高鹏,穆兴民,等.退耕还林(草)对北洛河上游水沙变化的影响[J].水土保持研究,2015,22(6):1-6.
[7] 李志,刘文兆,郑粉莉,等.黄土塬区气候变化和人类活动对径流的影响[J].生态学报,2010,30(9):2379-2386.
[8] 李蓝君,宋孝玉,夏露,等.黄土高原沟壑区典型造林树种蒸散发对气候变化的响应[J].农业工程学报,2018,34(20):148-159.
[9] 夏露,宋孝玉,符娜,等.陇东黄土塬区不同下垫面条件下侵蚀产沙的降雨阈值[J].水科学进展,2018,29(6):828-838.
[10] 寇权.黄土高塬沟壑区典型小流域水土流失规律分析研究[D].西安:西安理工大学,2007.
[11] 王明玉,王百田.不同水土保持措施对黄土高原小流域年径流和产沙的影响:以平凉纸坊沟为例[J].林业科学,2016,52(8):10-20.
[12] 张应华,宋献方.水文气象序列趋势分析与变异诊断的方法及其对比[J].干旱区地理,2015,38(4):652-665.
[13] Fu G, Charles S P, Chiew F. A two-parameter climate elasticity of streamflow index to assess climate change effects on annual streamflow[J]. Water Resources Research, 2007,43(11):2578-2584.
[14] Montenegro A, Ragab R. Hydrological response of a Brazilian semi-arid catchment to different land use and climate change scenarios: a modelling study[J]. Hydrological Processes, 2010,24(19):2705-2723.
[15] 何旭强,张勃,孙力炜,等.气候变化和人类活动对黑河上中游径流量变化的贡献率[J].生态学杂志,2012,31(11):2884-2890.
[16] 穆兴民,张秀勤,高鹏,等.双累积曲线方法理论及在水文气象领域应用中应注意的问题[J].水文,2010,30(4):47-51.
[17] 张树磊,杨大文,杨汉波,等.1960—2010年中国主要流域径流量减小原因探讨分析[J].水科学进展,2015,26(5):605-613.
[18] 曹巍,张洪波,任冲锋,等.陕北榆林地区河川径流变异类型的识别方法[J].西北农林科技大学学报:自然科学版,2019,47(3):138-154.
[19] Schaake J C. From climate to flow, in climate change and US water resources [M]. New York: John Wiley,1990.
[20] 刘普幸,卓玛兰草.甘肃省1960—2008年潜在蒸散量时空变化及其影响因子[J].自然资源学报,2012,27(9):1561-1571.
[21] 夏露,宋孝玉,符娜,等.黄土高塬沟壑区绿水对土地利用和气候变化的响应研究:以南小河沟流域为例[J].水利学报,2017,48(6):678-688.
[22] 冷曼曼,张志强,于洋,等.昕水河流域径流变化及其对气候和人类活动的响应[J].水土保持学报,2020,34(3):113-119,128.
[23] 张凯,鲁克新,李鹏,等.近60年汾河中上游水沙变化趋势及其驱动因素[J].水土保持研究,2020,27(4):54-59.
[24] 杨大文,张树磊,徐翔宇.基于水热耦合平衡方程的黄河流域径流变化归因分析[J].中国科学:技术科学,2015,45(10):1024-1034.
[25] 党素珍,董国涛,蒋晓辉,等.气候变化和人类活动对泾河上游径流的影响[J].南水北调与水利科技,2014,12(4):30-34.
[26] 郑培龙,李云霞,赵阳,等.黄土高原泾河流域气候和土地利用变化对径流产沙的影响[J].水土保持研究,2015,22(5):20-24.
[27] 焦阳,雷慧闽,杨大文,等.基于生态水文模型的无定河流域径流变化归因[J].水力发电学报,2017,36(7):34-44.

Similar References:

Memo

Last Update: 2021-08-20