Abstract
In order to evaluate the impact of the Longyangxia Reservoir construction on the relationship between runoff and sediment load (RRSL) in the upper reaches of the Yellow River, the runoff and sediment load monitoring data are used to identify variation point by sliding correlation coefficient method. Then with Copula function, the various countering situations of runoff and sediment load before and after variation are proposed to innovatively reveal their changing relations. The results demonstrate that (1) the reservoir construction exerts a great impact on the RRSL in the upper reaches of the Yellow River with the occurring variation point in 1987. The correlation of runoff and sediment load is presented better before variation but tends to worse decrease after variation. (2) Either before or after variation, runoff follows the generalized extreme value distribution, while sediment load before variation obeys the normal distribution, but the lognormal distribution after variation. Meanwhile, Frank Copula function accurately simulates the RRSL before variation, whereas Clayton Copula function is selected after variation. (3) The probability of synchronous rich and poor runoff and sediment load is higher before variation. After variation, the RRSL decreases significantly; their synchronous probability decreases by 45.67%. Meanwhile, the asynchronous probability of their extreme events evidently increases. The joint recurrence and co-recurrence intervals before variation are smaller than those after variation, along with the decreasing of their volume peak. This study provides new knowledge of runoff and sediment load influenced by reservoir construction, and also offers guidance for flood control and sediment load-discharge schemes of reservoir.
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The data used in this study are available from the corresponding author upon reasonable request.
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Funding
This research is supported by the National Key R&D Program of China (Grant No. 2021YFC3200205), Natural Sciences Foundation of Henan Province (Grant No. 212300410404), and Open Grants of the State Key Laboratory of Severe Weather (Grant No. 2021LASW-A15).
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Jinping Zhang: supervision, funding acquisition, writing—review and editing. Honglin Xiao: software, data analysis, writing—original draft, draft revision, validation. Min Xu: data analysis, writing—original draft, investigation. Wei Jin: investigation, data curation.
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Zhang, J., Xiao, H., Xu, M. et al. Evaluation of the effects of reservoir construction on the relationship between runoff and sediment load in the upper reaches of the Yellow River. Environ Monit Assess 195, 873 (2023). https://doi.org/10.1007/s10661-023-11479-0
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DOI: https://doi.org/10.1007/s10661-023-11479-0