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1. 西安理工大学省部共建西北旱区生态水利国家重点实验室,西安,710048
2. 西安理工大学旱区生态水文与灾害防治国家林业局重点实验室,西安,710048
3. 西安市智慧环保综合指挥中心,西安,710018
4. 宁夏回族自治区水土保持监测总站,银川,750002
Published:2023
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LI Mengnan, YU Kunxia, ZHANG Xiang, et al. Variation Characteristics of Extreme Sediment and Its Influencing Factors in the Wuding River Basin[J]. 2023, 37(1): 114-122.
LI Mengnan, YU Kunxia, ZHANG Xiang, et al. Variation Characteristics of Extreme Sediment and Its Influencing Factors in the Wuding River Basin[J]. 2023, 37(1): 114-122. DOI: 10.13870/j.cnki.stbcxb.2023.01.017.
近几十年来
全球气候变化异常
极端水文事件频繁发生
认识极端泥沙的动态变化并探究其可能影响因素对于预防泥沙灾害具有重要的现实意义。以黄河中游无定河流域为研究对象
从量级、时间、强度和频次4个方面
构建最大1日含沙量(Sx1d)、最大5日含沙量(Sx5d)、年最大1日含沙发生时间(DSx1d)、年最大5日含沙发生时间(DSx5d)、年均含沙量(Sint)、强含沙量(S95p)、极强含沙量(S99p)、高含沙水流日数(S200)共8个极端泥沙指标
采用Mann-Kendall趋势检验、圆分布统计法分析极端泥沙指标的变化趋势及时间分布特征
基于Pettitt检验判定指标变异时间
并应用RVA法定量评价各指标的变化程度
最后探讨降雨侵蚀力和生态建设措施对极端泥沙变化的影响
以及造成极端泥沙变化的主要因素。结果表明:(1)1958—2018年
无定河流域极端泥沙指标均呈显著减小趋势(p<0.05);(2)Sx1d的发生高峰期为6月30日至8月18日
Sx5d的发生高峰期为7月11日至8月17日
比Sx1d的发生时间更为集中;(3)S200发生中度改变
Sx1d、Sx5d、Sint、S95p和S99p发生高度改变
且S95p和S99p的改变度最大
改变度达-100%
极端泥沙指标整体改变度为83.72%
属于高度改变;(4)1963—1966年
降雨侵蚀力的降低在一定程度上导致无定河流域极端泥沙的减少;1982—2018年
NDVI和年累积坝控面积(Ad)与极端泥沙指标均呈显著负相关(p<0.05)
且通径分析表明
Ad比NDVI对极端泥沙指标的直接作用更大
是影响极端泥沙变化的主要因素。研究成果有助于增强对无定河流域极端泥沙变化的认识
为制定泥沙灾害防范策略提供一定的理论依据。
In recent decades
global climate has changed abnormally and extreme hydrological events have occurred frequently. It is of great significance to understand the dynamic changes of extreme sediment and explore its possible influencing factors for preventing sediment disasters. In this study
the Wuding river basin in the middle reaches of the Yellow River was taken as the research object. From the four aspects of magnitude
time
intensity and frequency
eight extreme sediment indexes were established
including annual maximum 1-day sediment concentration (Sx1d)
annual maximum 5-days sediment concentration (Sx5d)
occurrence date of annual maximum 1-day sediment concentration (DSx1d)
occurrence date of annual maximum 5-days sediment concentration (DSx5d)
average annual sediment concentration (Sint)
high sediment concentration (S95p)
extremely high sediment concentration (S99p)
and days of hyperconcentrated flows (S200). Mann-Kendall trend test and circular statistical approach were used to analyze the variation trend and time distribution characteristics of extreme sediment indexes. The change-point of indexes was determined based on Pettitt test
and the range of variability approach was used to quantitatively evaluate variation of each index. Finally
the influence of rainfall erosivity and ecological construction measures on extreme sediment changes are discussed. The results showed that: (1) From 1958 to 2018
all extreme sediment indexes of Wuding river basin showed a significant decreasing trend (p<0.05). (2) The rush period of Sx1d was from June 30 to August 18
and the rush period of Sx5d was from July 11 to August 17
which was more concentrated than that of Sx1d. (3) S200 reached moderate alteration
Sx1d
Sx5d
Sint
S95p and S99p reached high alteration
and S95p and S99p had the largest alteration
with alteration of -100%. The overall change of extreme sediment indexes was 83.72%
which belonged to high alteration. (4) During 1963—1966 period
the decrease of rainfall erosivity led to a reduction of extreme sediment in the Wuding river basin to a certain extent. During 1982—2018 period
NDVI and annual cumulative value of dam control area (Ad) were significantly negatively correlated with extreme sediment indexes (p<0.05)
and path analysis indicated Ad had a greater direct effect on extreme sediment indexes than NDVI
which was the main factor affecting the change of extreme sediment. The research results are helpful to enhance the understanding of extreme sediment changes in Wuding river basin
and provide a theoretical basis for formulating sediment disaster prevention strategies.
Sivakumar B. Global climate change and its impacts on water resources planning and management:Assessment and challenges[J].Stochastic Environmental Research and Risk Assessment,2011,25(4):583-600.
孙倩,于坤霞,李占斌,等.黄河中游多沙粗沙区水沙变化趋势及其主控因素的贡献率[J].地理学报,2018,73(5):945-956.
Zheng H Y, Miao C Y, Wu J W, et al. Temporal and spatial variations in water discharge and sediment load on the Loess Plateau,China:A high-density study[J].Science of the Total Environment,2019,666(10):875-886.
Wang S J, Ran L S. Analysis of dam effect on sediment yield in the Wudinghe River basin[J].Geographical Research,2008,27(4):811-818.
Ran Q H, Zong X Y, Ye S, et al. Dominant mechanism for annual maximum flood and sediment events generation in the Yellow River basin[J].Catena,2020,187(4):104376-104387.
Katz R W, Brown B G. Extreme events in a changing climate:Variability is more important than averages[J].Climatic Change,1992,21(3):289-302.
张利平,杜鸿,夏军,等.气候变化下极端水文事件的研究进展[J].地理科学进展,2011,30(11):1370-1379.
丁裕国,郑春雨,申红艳.极端气候变化的研究进展[J].沙漠与绿洲气象,2008,2(6):1-5.
Karl T R, Nicholls N, Ghazi A. Clivar/GCOS/WMO workshop on indices and indicators for climate extremes workshop summary[M].Weather and Climate Extremes. Berlin:Springer,1999:3-7.
Goodess C, Haylock M, Jones P, et al. Statistical and regional dynamical downscaling of extremes for European regions:Some preliminary results from the STARDEX project[J].American Society of Mechanical Engineers,2003,5(4):145-151.
Richter B D, Baumgartner J V, Braun D P, et al. A spatial assessment of hydrologic alteration within a river network[J].Regulated Rivers Research and Management,1998,14(4):329-340.
Yu K X, Zhang X, Xu B X, et al.Evaluating the impact of ecological construction measures on water balance in the Loess Plateau region of China within the Budyko framework[J].Journal of Hydrology,2021,601(10):126596-126609.
Rustomji P, Zhang X P, Hairsine P B, et al. River sediment load and concentration responses to changes in hydrology and catchment management in the Loess Plateau region of China[J].Water Resources Research,2008,44(7):1-17.
Zhou Y Y, Shi C X, Du J, et al. Characteristics and causes of changes in annual runoff of the Wuding River in 1956-2009[J].Environmental Earth Sciences,2013,69(1):225-234.
Min Z H. Research on the benefits of conservation of soil and water and sediment reduction[J].IOP Conference Series Earth and Environmental Science,2020,450(1):12119-12127.
水利部黄河水利委员会.中华人民共和国水文年鉴 2018 第4卷 黄河流域水文资料 第3册 上 黄河中游区上段(河口镇至龙门)[M].郑州:水利部黄河水利委员会刊印,2019:279-280.
榆林市统计局,国家统计局榆林调查队.榆林统计年鉴2018[M].北京:中国统计出版社,2019:183-184.
Mann H B. Nonparametric tests against trend[J].Econometrica:Journal of the Econometric Society,1945,13(3):245-259.
Kendall M G. Rank correlation methods[J].British Journal of Psychology,1990,25(1):86-91.
Burn D H. Catchment similarity for regional flood frequency analysis using seasonality measures[J].Journal of Hydrology,1997,202(1):212-230.
Pettit A. A non-parametric approach to the change-point problem[J].Applied Statistics,1979,28(2):126-135.
Richter B, Baumgartner J, Wigington R, et al. How much water does a river need?[J].Freshwater Biology,1997,37(1):231-249.
Shiau J T, Wu F C. Pareto-optimal solutions for environmental flow schemes incorporating the intraannual and interannual variability of the natural flow regime[J].Water Resources Research,2007,43(6):1-12.
章文波,谢云,刘宝元.利用日雨量计算降雨侵蚀力的方法研究[J].地理科学,2002,22(6):705-711.
Torrence C, Compo G P. A practical guide to wavelet analysis[J].Bulletin of the American Meteorological Society,1998,79(1):61-78.
Wright S. Systems of mating. I. The biometric relations between parent and offspring[J].Genetics,1921,6(2):111-123.
Hill W G, Singh R K. Biometrical methods in quantitative genetic analysis[J].Biometrics,1978,34(4):723-731.
贾路,任宗萍,李占斌,等.2000-2013年西安市植被覆盖度时空演变[J].水土保持研究,2019,26(6):274-279.
Steingraber S. Living downstream:An ecologist's personal investigation of cancer and the environment[M].New York:Da Capo Press,2010:337-440.
何毅.黄河河口镇至潼关区间降雨变化及其水沙效应[D].陕西 杨凌:西北农林科技大学,2016.
Jia L, Yu K X, Li Z B, et al. Temporal and spatial variation of rainfall erosivity in the Loess Plateau of China and its impact on sediment load[J].Catena,2022,210(3):e105931.
Liu S Y, Huang S Z, Xie Y Y, et al. Spatial-temporal changes of rainfall erosivity in the loess plateau,China:Changing patterns,causes and implications[J].Catena,2018,166(7):279-289.
Han J Q, Gao J E, Luo H. Changes and implications of the relationship between rainfall, runoff and sediment load in the Wuding River basin on the Chinese Loess Plateau[J].Catena,2019,175(4):228-235.
冉大川,左仲国,上官周平.黄河中游多沙粗沙区淤地坝拦减粗泥沙分析[J].水利学报,2006,37(4):443-450.
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