Li Ming, Zheng Zhao, Niu Chaojie, Quan Liyu, Liu Chengshuai, Li Xiang, Shi Chen, Li Dongyang, Zhao Lianjun, Han Shasha, Hu Caihong
School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.
Henan Yellow River Engineering and Consulting Co., LTD, Zhengzhou, 450003, China.
Sci Rep. 2024 Sep 7;14(1):20890. doi: 10.1038/s41598-024-71510-3.
The construction of large reservoirs has modified the process of water and sediment transport downstream, resulting in changes in the morphology of the river cross-section. Changes in water and sand transport and cross-sectional morphology are reflected in the rating curve at the cross-section. This study analyzed the variations in the rating curve at the Huayuankou (HYK) section and their influencing factors, and conducted water level predictions based on this relationship. The findings revealed that while the annual mean water level has shown a declining tendency over the past 20 years, the annual mean discharge has shown a constant pattern. The rating curve at this stretch narrowed from a rope-loop type curve in its natural condition to a more stable single curve as a result of the construction of the dam upstream of the HYK section. The effect of pre-flood section morphology and the water-sediment process on the scattering degree of the rating curve is inverse; increasing roughness and hydraulic radius decreases scattering degree, while increasing sand content and sand transport rate increases scattering degree. Using the measured data from 2020 as an example, the feasibility of predicting cross-sectional water levels using the rating curve was verified. The prediction results were accurate when the flow was between 1000 and 2800 m/s; However, when the flow was between 2800 and 4000 m/s, the forecast results were typically slightly lower than the measured values. Overall, the method demonstrates good predictive accuracy. Insight from the method can be used to predict water levels to better inform decision making about water resources management, and flood emergency response in the lower Yellow River.
大型水库的建设改变了下游的水沙输移过程,导致河道横断面形态发生变化。水沙输移和横断面形态的变化反映在断面水位流量关系曲线上。本研究分析了花园口断面水位流量关系曲线的变化及其影响因素,并基于这种关系进行了水位预测。研究结果表明,在过去20年里,年平均水位呈下降趋势,而年平均流量呈稳定态势。由于花园口断面上游修建了大坝,该河段的水位流量关系曲线从天然状态下的绳套型曲线变窄为更稳定的单曲线。洪水前断面形态和水沙过程对水位流量关系曲线离散程度的影响相反;糙率和水力半径增加会降低离散程度,而含沙量和输沙率增加会提高离散程度。以2020年实测数据为例,验证了利用水位流量关系曲线预测断面水位的可行性。当流量在1000至2800立方米/秒之间时,预测结果准确;然而,当流量在2800至4000立方米/秒之间时,预测结果通常略低于实测值。总体而言,该方法具有良好的预测精度。该方法的见解可用于预测水位,以便更好地为黄河下游水资源管理和洪水应急响应决策提供信息。