Runoff variation characteristics and attribution analysis of the upper and middle reaches of the Yellow River from 1951 to 2020

Sun Liru; Bi Huaxing; Ma Zhijin; Zhao Danyang; Wang Ning; Liu Zehui; Wang Xin

doi:10.12171/j.1000-1522.20230077

Journal of Beijing Forestry University > 2024 > 46(1): 82-92. > DOI: 10.12171/j.1000-1522.20230077

Sun Liru, Bi Huaxing, Ma Zhijin, Zhao Danyang, Wang Ning, Liu Zehui, Wang Xin. Runoff variation characteristics and attribution analysis of the upper and middle reaches of the Yellow River from 1951 to 2020[J]. Journal of Beijing Forestry University, 2024, 46(1): 82-92. DOI: 10.12171/j.1000-1522.20230077

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Runoff variation characteristics and attribution analysis of the upper and middle reaches of the Yellow River from 1951 to 2020

Sun Liru^1,,
Bi Huaxing^{1, 2, 3, 4, ,},
Ma Zhijin⁵,
Zhao Danyang¹,
Wang Ning¹,
Liu Zehui¹,
Wang Xin¹

1.
School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
2.
State Key Laboratory of Efficient Production of Forest Resources, Beijing 100083, China
3.
Ji County Station, Chinese National Ecosystem Research Network (CNERN), Beijing 100083, China
4.
Key Laboratory of State Forestry Administration on Soil and Water Conservation, Beijing Engineering Research Center of Soil and Water Conservation, Engineering Research Center of Forestry Ecological Engineering of Ministry of Education, Beijing Forestry University, Beijing 100083, China
5.
Hydrological Bureau, Yellow River Conservancy Commission, Zhengzhou 450004, Henan, China

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Received Date: April 02, 2023
Revised Date: June 17, 2023
Available Online: December 21, 2023

Graphical Abstract

Abstract

Abstract

Objective
River runoff is an important water resource on the surface of the earth, and the analysis of the characteristics and causes of its change is a prerequisite for the scientific management and planning of water resources in the basin.
Method
This study used Mann-Kendall trend test, Pettitt mutation test, Budyko elasticity coefficient method and other methods to analyze trends and causes of runoff variation in the upper and middle reaches of the Yellow River in recent 70 years (1951−2020).
Result
(1) From 1951 to 2020, the annual precipitation in the upper reaches of the Yellow River increased 4.04 mm/(10 year) (P > 0.05) and decrease 4.90 mm/(10 year) (P > 0.05) in the middle reaches of the Yellow River. The potential evapotranspiration in the upper and middle reaches showed no significant increase trend (1.77 mm/(10 year), 2.23 mm/(10 year), P > 0.05). (2) From 1980 to 2020, the changes of landuse/cover in the upper and middle reaches of the Yellow River are obvious, mainly in the increase of forest and grass area, and the NDVI in the upper and middle reaches of the Yellow River increased significantly at the rates of 0.025/(10 year) (P < 0.01) and 0.042/(10 year) (P < 0.01), respectively. (3) From 1951 to 2020, the runoff of upper and middle reaches decreased at the rate of 3.46 mm/(10 year) (P < 0.01) and 7.46 mm/(10 year) (P < 0.01), respectively, and changed abruptly in 1986 and 1990, respectively. (4) Runoff in the upper and middle reaches is most sensitive to precipitation change, followed by land use/cover change and potential evapotranspiration change, and the sensitivity of runoff to each influencing factor increased year by year, which showed that the change of climate and land use will easily cause runoff change. (5) Land use/cover change was the main cause of runoff decrease in the upper and middle reaches of the Yellow River, followed by precipitation and potential evapotranspiration, but there were some differences in the nature and degree of influencing factors on runoff change in different regions of the upper and middle reaches. Among them, the nature and degree of influence of precipitation, potential evapotranspiration, and land use/cover change on runoff in the upstream area were −14.04%, 1.30%, and 112.73%, respectively; the midstream area was 21.54%, 3.63%, and 74.83%, respectively.
Conclusion
The runoff change in the upper and middle reaches of the Yellow River from 1951 to 2020 is the result of climate change and land use/cover change, but the main influencing factor is land use/cover change dominated by human activities, and the influence of each factor on runoff is different in varied intervals. The results of this study can provide theoretical support for water resource management and comprehensive control in different sections of the upper and middle reaches of the Yellow River.
- runoff change,
- climate change,
- land use/cover change,
- Budyko,
- attribution analysis,
- upper and middle reaches of the Yellow River

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References (33)

References

[1]	Zhai R, Tao F. Contributions of climate change and human activities to runoff change in seven typical catchments across China[J]. Science of the Total Environment, 2017, 605−606: 219−229.
[2]	黄斌斌, 郝成元, 李若男, 等. 气候变化及人类活动对地表径流改变的贡献率及其量化方法研究进展[J]. 自然资源学报, 2018, 33(5): 899−910. Huang B B, Hao C Y, Li R N, et al. Research progress on the quantitative methods of calculating contribution rates of climate change and human activities to surface runoff changes[J]. Journal of Natural Resources, 2018, 33(5): 899−910.
[3]	胡慧杰, 崔凯, 曹茜, 等. 黄河近百年径流演变特征分析[J]. 人民黄河, 2019, 41(9): 14−19. Hu H J, Cui K, Cao Q, et al. Analysis of the characteristics of the runoff evolution in Yellow River in recent 100 years[J]. Yellow River, 2019, 41(9): 14−19.
[4]	鲍振鑫, 严小林, 王国庆, 等. 1956—2016年黄河流域河川径流演变规律[J]. 水资源与水工程学报, 2019, 30(5): 52−57. Bao Z X, Yan X L, W G Q, et al. The trend in streamflow of the Yellow River Basin during 1956–2016[J]. Journal of Water Resources and Water Engineering, 2019, 30(5): 52−57.
[5]	刘昌明, 刘小莽, 田巍, 等. 黄河流域生态保护和高质量发展亟待解决缺水问题[J]. 人民黄河, 2020, 42(9): 6−9. Liu C M, Liu X M, Tian W, et al. Ecological protection and high-quality development of the Yellow River Basin urgently need to solve the water shortage problem[J]. Yellow River, 2020, 42(9): 6−9.
[6]	Gu C, Mu X, Gao P, et al. Changes in run-off and sediment load in the three parts of the Yellow River Basin, in response to climate change and human activities[J]. Hydrological Processes, 2019, 33(4): 585−601. doi: 10.1002/hyp.13345
[7]	杨旭, 姬广兴, 杨元达, 等. 1961—2016年黄河中游区间径流变化及归因分析[J]. 河南科学, 2021, 39(12): 2007−2013. Yang X, Ji G X, Yang Y D, et al. Runoff changes and their attributions in the middle reaches of the Yellow River from 1961 to 2016[J]. Henan Science, 2021, 39(12): 2007−2013.
[8]	Li S, Yang G, Wang H. The runoff evolution and the differences analysis of the causes of runoff change in different regions: a case of the Weihe River Basin, Northern China [J/OL]. Sustainability, 2019, 11(19): 5295[2022−12−21]. https://doi.org/10.3390/su11195295.
[9]	Wang J, Hong Y, Gourley J, et al. Quantitative assessment of climate change and human impacts on long-term hydrologic response: a case study in a sub-basin of the Yellow River, China[J]. International Journal of Climatlology, 2010, 30(14): 2130−2137. doi: 10.1002/joc.2023
[10]	Zeng F, Ma M G, Di D R, et al. Separating the impacts of climate change and human activities on runoff: a review of method and application[J/OL]. Water, 2020, 12(8): 2201[2022−12−21]. https://doi.org/10.3390/w12082201.
[11]	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. doi: 10.1360/N092015-00013 Yang D W, Zhang S L, Xu X Y. Attribution analysis for runoff decline in Yellow River Basin during past fifty years based on Budyko hypothesis[J]. Scientia Sinica Technologica, 2015, 45(10): 1024−1034. doi: 10.1360/N092015-00013
[12]	孙福宝, 杨大文, 刘志雨, 等. 基于Budyko假设的黄河流域水热耦合平衡规律研究[J]. 水利学报, 2007, 38(4): 409−416. Sun F B, Yang D W, Liu Z Y, et al. Study on coupled water-energy balance in Yellow River Basin based on Budyko hypothesis[J]. Journal of Hydraulic Science, 2007, 38(4): 409−416.
[13]	Ni Y, Yu Z, Lü X, et al. Spatial difference analysis of the runoff evolution attribution in the Yellow River Basin[J/OL]. Journal of Hydrology, 2022, 612: 128149[2022−12−21]. https://doi.org/10.1016 /j.jhydrol.2022.128149.
[14]	He Y, Mu X, Jiang X, et al. Runoff variation and influencing factors in the Kuye River Basin of the middle Yellow River[J/OL]. Frontiers in Environmental Science, 2022, 10: 877535[2022−12−21]. https://doi.org/10.3389/fenvs.2022.877535.
[15]	Allen R G, Pereira L S, Raes D, et al. Crop evapotranspiration: guidelines for computing crop water requirements: FAO irrigation and drainage paper 56[M]. Rome: Food and Agriculture Organization of the United Nations, 1998.
[16]	徐洋, 杨雅萍. 1982–2020年中国5 km分辨率逐月NDVI数据集[J]. 中国科学数据(中英文网络版), 2022, 7(1): 99–107. Xu Y , Yang Y P. A 5 km resolution dataset of monthly NDVI product of China(1982–2020)[J]. China Academic Journal Electronic Publishing House, 2022, 7(1): 99–107.
[17]	蓝云龙, 黎曙, 李霞, 等. 1956–2018年黄河源区降水变化规律分析[J]. 青海科技, 2021, 28(5): 107−112. Lan Y L, Li S, Li X, et al. Analysis of precipitation variation law in the source region of the Yellow River from 1956 to 2018[J]. Qinghai Science and Technology, 2021, 28(5): 107−112.
[18]	田小靖, 赵广举, 穆兴民, 等. 水文序列突变点识别方法比较研究[J]. 泥沙研究, 2019, 44(2): 33−40. Tian X J, Zhao G J, Mu X M, et al. Comparison study on hydrological time series change-point testing methods[J]. Journal of Sediment Research, 2019, 44(2): 33−40.
[19]	Hamed K H. Trend detection in hydrologic data: the Mann-Kendall trend test under the scaling hypothesis[J/OL]. Journal of Hydrology, 2008, 349(3–4): 350–363.
[20]	Mann H B. Nonparametric tests against trend[J/OL]. Econometrica, 1945, 13(3): 245[2022−12−20]. https:// doi.org/10.2307/1907187.
[21]	Pettitt A N. A non-parametric approach to the change-point problem[J/OL]. Applied Statistics, 1979, 28(2): 126[2022−12−20]. https://doi.org/10.2307/2346729.
[22]	廖慧, 舒章康, 金君良, 等. 1980–2015年黄河流域土地利用变化特征与驱动力[J]. 南水北调与水利科技(中英文), 2021, 19(1): 129−139. Liao H, Shu Z K, Jin J L, et al. Characteristics and driving forces of land use change in the Yellow River Basin from 1980 to 2015[J]. South-to-North Water Transfer and Water Science and Technology, 2021, 19(1): 129−139.
[23]	Choudhury B J. Evaluation of an empirical equation for annual evaporation using field observations and results from a biophysical model[J]. Journal of Hydrology, 1999, 216(1−2): 99−110.
[24]	Yang H, Yang D, Lei Z, et al. New analytical derivation of the mean annual water-energy balance equation[J]. Water Resources Research, 2008, 44(3): 893−897.
[25]	Yang Y, Tian F. Abrupt change of runoff and its major driving factors in Haihe River Catchment, China[J]. Journal of Hydrology, 2009, 374(3−4): 373−383.
[26]	Yang H, Yang D. Derivation of climate elasticity of runoff to assess the effects of climate change on annual runoff[J]. Water Resources Research, 2011, 47(7): 197−203.
[27]	McCuen R H. A sensitivity and error analysis CF procedures used for estimating evaporation[J]. Journal of the American Water Resources Association, 1974, 10(3): 486−497. doi: 10.1111/j.1752-1688.1974.tb00590.x
[28]	Xu X, Yang D, Yang H, et al. Attribution analysis based on the Budyko hypothesis for detecting the dominant cause of runoff decline in Haihe basin[J]. Journal of Hydrology, 2014, 510: 530−540. doi: 10.1016/j.jhydrol.2013.12.052
[29]	Wang H, Stephenson S. Quantifying the impacts of climate change and land use/cover change on runoff in the lower Connecticut River Basin[J]. Hydrological Processes, 2018, 32(9): 1301−1312. doi: 10.1002/hyp.11509
[30]	毕早莹, 李艳忠, 林依雪,等. 基于Budyko理论定量分析窟野河流域植被变化对径流的影响[J]. 北京林业大学学报, 2020, 42(8): 61−71. doi: 10.12171/j.1000-1522.20190330 Bi Z Y, Li Y Z, Lin Y X, et al. Quantitative assessment on the effects of vegetation changes on runoff based on Budyko theory in the Kuyehe River Basin of northern China[J]. Journal of Beijing Forestry University, 2020, 42(8): 61−71. doi: 10.12171/j.1000-1522.20190330
[31]	Jiang C, Zhang H, Wang X, et al. Challenging the land degradation in China’s Loess Plateau: benefits, limitations, sustainability, and adaptive strategies of soil and water conservation[J]. Ecological Engineering, 2019, 127: 135−150. doi: 10.1016/j.ecoleng.2018.11.018
[32]	Wang Y, Wang S, Wang C, et al. Runoff sensitivity increases with land use/cover change contributing to runoff decline across the middle reaches of the Yellow River Basin[J/OL]. Journal of Hydrology, 2021, 600: 126536[2021−07−05]. https://doi.org/10.1016/j.jhydrol.2021.126536.
[33]	李芳, 曾彪, 李勋贵, 等. 气候变化和人类活动对黄河上游径流变化的差异性影响[J]. 人民珠江, 2022, 43(2): 101−111. doi: 10.3969/j.issn.1001-9235.2022.02.014 Li F, Zeng B, Li X G, et al. Differential impact of climate change and human activities on runoff changes in the upper reaches of the Yellow River[J]. Pearl River, 2022, 43(2): 101−111. doi: 10.3969/j.issn.1001-9235.2022.02.014

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Runoff variation characteristics and attribution analysis of the upper and middle reaches of the Yellow River from 1951 to 2020