Temporal and Spatial Accumulation Variation Law and Simulation for the Continuous Erosion in the Lower Yellow River

ZHANG Ping, SHEN Hong-bin, SUI Ying-chun, SU Qing-wen

Journal of Changjiang River Scientific Research Institute ›› 2026, Vol. 43 ›› Issue (7) : 21-27.

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Journal of Changjiang River Scientific Research Institute ›› 2026, Vol. 43 ›› Issue (7) : 21-27. DOI: 10.11988/ckyyb.20251089
River-Lake Protection and Regulation

Temporal and Spatial Accumulation Variation Law and Simulation for the Continuous Erosion in the Lower Yellow River

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Abstract

[Objective] Since the operation of Xiaolangdi reservoir in 1999, continuous erosion has happened in the lower Yellow River. As of 2023, the accumulated erosion volume of Tie-Li reach (from Tiexie station to Lijin station) in the lower Yellow River has reached 2.2 billion m3. However, the erosion efficiency gradually decreases from 13.6 kg/m3 to 6.3 kg/m3. It is important to realize the temporal and spatial accumulation variation law of continuous erosion in the lower Yellow River in order to estimate the erosion potential. [Methods] Through collecting the annual erosion volume data from 2001 to 2024 for different sub-reaches, the temporal and spatial accumulation variation law of continuous erosion in the lower Yellow River is analyzed. Based on the river spatial non-equilibrium sediment transport theory, and combined with the temporal delayed response model of sediment transport capacity adjustment during the processes of erosion and sedimentation of river bed, a temporal and spatial accumulation variation model of continuous erosion volume is proposed, and then is used to simulate the temporal and spatial accumulation variation of continuous erosion in the lower Yellow River and predict the future erosion potential. The model parameter ϕ is calibrated based on the measured spatial accumulation erosion data of 2017, the model parameters K(0) and β is determined based on the measured temporal accumulation erosion data from 2001 to 2017 of the Hua-Li reach. These calibrated parameters are used to simulate the temporal and spatial accumulation erosion from 2018 to 2024 of the different sub-reaches for model validation and the performance is evaluated using the certainty coefficient and the Nash-Sutcliffe efficiency coefficient. [Results] Data analysis results show that the temporal and spatial accumulation variation law of continuous erosion in the lower Yellow River shows a set of different growth curves, and the growth rates present a first fast and then slow down change trend, finally gradually tending towards 0. The simulation results of the temporal and spatial accumulation erosion volume show that the simulated and measured values are in good agreement, the values of the certainty coefficient and the Nash-Sutcliffe efficiency coefficient are 0.98 and 0.99. The sediment transport capacity coefficient K decreased to 0.005 4 kg·s/m6 by 2024. The continuous erosion in the lower Yellow River is approaching equilibrium. If further erosion is desired, it is necessary to optimize the water and sediment combination conditions. If the average discharge increases by half to 1 191 m3/s and the sediment concentration decreases by half to 1.98 kg/m3, the erosion potential can increase to 860 million m3. [Conclusion] The high model precision illustrates the rationality of the proposed temporal and spatial accumulation variation model of continuous erosion volume. As a macro accumulation model, the proposed model in this paper is not suitable to simulate different annual erosion volumes of different sub-reaches of the lower Yellow River and the spatial accumulation variation law. But after long term self-adjustment, its macro temporal and spatial accumulation variation law conforms to the model proposed in this paper reflecting the macro fluvial process tend towards equilibrium. In the future, from a micro perspective of the different independent year, how to finely simulate the annual erosion volume of different sub-reach and the complex spatial accumulation variation law in the lower Yellow River is still to be further studied.

Key words

river channel in the Lower Yellow River / continuous erosion / spatial non-equilibrium sediment transport / temporal delayed response / time and space accumulation variation

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ZHANG Ping , SHEN Hong-bin , SUI Ying-chun , et al. Temporal and Spatial Accumulation Variation Law and Simulation for the Continuous Erosion in the Lower Yellow River[J]. Journal of Changjiang River Scientific Research Institute. 2026, 43(7): 21-27 https://doi.org/10.11988/ckyyb.20251089

References

[1]
曹玉芹, 夏军强, 周美蓉, 等. 黄河下游近期持续冲刷过程中床沙粗化特性分析[J]. 水力发电学报, 2024, 43(5): 1-12.
(Cao Yu-qin, Xia Jun-qiang, Zhou Mei-rong, et al. Analysis of Bed Material Coarsening Characteristics during Recent Continuous Erosion in Lower Yellow River[J]. Journal of Hydroelectric Engineering, 2024, 43(5): 1-12.)
[2]
尚红霞, 孙赞盈, 田世民. 2000—2013年黄河下游河道冲淤变化分析[J]. 人民黄河, 2015, 37(8): 7-9, 12.
(Shang Hong-xia, Sun Zan-ying, Tian Shi-min. Scouring and Siltation Characteristics in the Lower Yellow River since 2000[J]. Yellow River, 2015, 37(8): 7-9, 12.)
[3]
韩其为. 论均衡输沙与河床演变的平衡趋向[J]. 泥沙研究, 2011, 36(4):1-14.
(Han Qi-wei. Equilibrium Trend of Sediment Transportation and River Morphology[J]. Journal of Sediment Research, 2011, 36(4):1-14.(in Chinese))
[4]
沈逸, 吴保生, 王彦君, 等. 小浪底水库运用以来黄河下游河道冲淤的时空规律与模拟[J]. 地理学报, 2023, 78(11): 2735-2749.
(Shen Yi, Wu Bao-sheng, Wang Yan-jun, et al. Temporal and Spatial Laws and Simulations of Erosion and Deposition in the Lower Yellow River since the Operation of the Xiaolangdi Reservoir[J]. Acta Geographica Sinica, 2023, 78(11): 2735-2749.(in Chinese))
[5]
Lane E W. Retrogession of Levels in River Beds below Dams[J]. Engineering News-Record, 1934(4): 34-45.
[6]
钱宁. 修建水庫后下游河道重新建立平衡的过程[J]. 水利学报, 1958(4): 33-60.
(Qian Ning. The Fluvial Processes of Re-establishing Equilibrium below Impounding Reservoirs[J]. Journal of Hydraulic Engineering, 1958(4): 33-60.(in Chinese))
[7]
杨美卿. 河床冲刷—粗化过程的水槽试验研究[R]. 北京: 清华大学, 1991.
(Yang Mei-qing. Experimental Study on Riverbeds Scouring and Armoring[R]. Beijing: Tsinghua University, 1991.(in Chinese))
[8]
乐培九, 程小兵, 朱玉德, 等. 清水冲刷推移质输沙率变化规律[J]. 水道港口, 2006, 27(6): 361-367.
(Le Pei-jiu, Cheng Xiao-bing, Zhu Yu-de, et al. Rule of the Bed-load Transport Rate Variation by Clear Water Scouring[J]. Journal of Waterway and Harbor, 2006, 27(6): 361-367.(in Chinese))
[9]
李小平, 李文学, 李勇, 等. 水库拦沙期黄河下游洪水冲刷效率调整分析[J]. 水科学进展, 2007, 18(1):44-51.
(Li Xiao-ping, Li Wen-xue, Li Yong, et al. Analysis of Erosion Efficiency and Adjustment of Flood in the Lower Yellow River during the Storage Periods[J]. Advances in Water Science, 2007, 18(1): 44-51.(in Chinese))
[10]
孙志林, 孙志锋. 粗化过程中的推移质输沙率[J]. 浙江大学学报(理学版), 2000, 27(4): 449-453.
(Sun Zhi-lin, Sun Zhi-feng. Transport Rate of Bedload in an Armoring Process[J]. Journal of Zhejiang University (Science Edition), 2000, 27(4): 449-453.(in Chinese))
[11]
吴保生. 冲积河流河床演变的滞后响应模型:Ⅰ模型建立[J]. 泥沙研究, 2008, 33(6): 1-7.
(Wu Bao-sheng. Delayed Response Model for Fluvial Processes of Alluvial Rivers:Ⅰ Model Development[J]. Journal of Sediment Research, 2008, 33(6): 1-7.(in Chinese))
[12]
吴保生. 冲积河流河床演变的滞后响应模型:Ⅱ模型应用[J]. 泥沙研究, 2008, 33(6):30-37.
(Wu Bao-sheng. Delayed Response Model for Fluvial Processes of Alluvial Rivers:Ⅱ Model Applications[J]. Journal of Sediment Research, 2008, 33(6):30-37.(in Chinese))
[13]
郑珊, 吴保生. 黄河小北干流和渭河下游淤积过程模拟[J]. 水利学报, 2014, 45(2): 150-162.
(Zheng Shan, Wu Bao-sheng. Simulation of Sedimentation Processes of the Xiaobeiganliu Reach of the Yellow River and the Lower Wei River[J]. Journal of Hydraulic Engineering, 2014, 45(2): 150-162.(in Chinese))
[14]
Zheng S, Wu B, Thorne C R, et al. Morphological Evolution of the North Fork Toutle River Following the Eruption of Mount St. Helens, Washington[J]. Geomorphology, 2014, 208: 102-116.
[15]
沈逸, 郑珊, 吴保生. 基于滞后响应模型的三门峡水库冲淤计算方法[J]. 水利学报, 2022, 53(10):1207-1217.
(Shen Yi, Zheng Shan, Wu Bao-sheng. Calculation Method for Erosion and Deposition Processes in the Sanmenxia Reservoir Based on Delayed Response Model[J]. Journal of Hydraulic Engineering, 2022, 53(10):1207-1217.(in Chinese))
[16]
申红彬, 吴华莉, 李灵军, 等. 基于滞后响应模型的输沙率变化过程描述方法[J]. 应用基础与工程科学学报, 2020, 28(6): 1294-1303.
(Shen Hong-bin, Wu Hua-li, Li Ling-jun, et al. Description Method for Variation of Sediment Transport Rate Based on Delayed Response Model[J]. Journal of Basic Science and Engineering, 2020, 28(6): 1294-1303.(in Chinese))
[17]
吴保生, 申冠卿. 来沙系数物理意义的探讨[J]. 人民黄河, 2008, 30(4):15-16.
(Wu Bao-sheng, Shen Guan-qing. Approach to Physical Meaning of Coming Sediment Coefficients[J]. Yellow River, 2008, 30(4):15-16.(in Chinese))
[18]
费祥俊, 吴保生. 黄河下游输沙平衡关系及应用[J]. 水力发电学报, 2015, 34(7): 1-11.
(Fei Xiang-jun, Wu Bao-sheng. Equilibrium Sediment Transport Relationships of the Lower Yellow River and Applications[J]. Journal of Hydroelectric Engineering, 2015, 34(7): 1-11.(in Chinese))
[19]
胡胜, 曹明明, 邱海军, 等. CFSR气象数据在流域水文模拟中的适用性评价:以灞河流域为例[J]. 地理学报, 2016, 71(9):1571-1586.
(Hu Sheng, Cao Ming-ming, Qiu Hai-jun, et al. Applicability Evaluation of CFSR Climate Data for Hydrologic Simulation: A Case Study in the Bahe River Basin[J]. Acta Geographica Sinica, 2016, 71(9):1571-1586.(in Chinese))
[20]
Nash J E, Sutcliffe J V. River Flow Forecasting through Conceptual Models Part I—A Discussion of Principles[J]. Journal of Hydrology, 1970, 10(3): 282-290.
[21]
Gupta H V, Sorooshian S, Yapo P O. Status of Automatic Calibration for Hydrologic Models:Comparison with Multilevel Expert Calibration[J]. Journal of Hydrologic Engineering, 1999, 4(2):135-143.
[22]
韩其为. 论黄河调水调沙[J]. 天津大学学报, 2008, 41(9): 1015-1026.
(Han Qi-wei. Regulation of Flow-sediment in the Yellow River[J]. Journal of Tianjin University, 2008, 41(9): 1015-1026.(in Chinese))
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