Comparative Analyses on Variations of Runoff and Sediment Load of Typical Large Rivers in World

Hu, Shi; Guo, Qingchao; Lu, Qin; Deng, Anjun

doi:10.3850/38wc092019-1445

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confidence: 99%

“…This is consistent with our previous calculations that human activities are the major cause of changes in sediment load, and the influence is gradually increasing. In their study,Shi (2010) suggested that reservoir construction and sand mining are the main reasons for the decrease in sediment load in the MRB. However, the intra-annual distribution of runoff by reservoir differs from that of the natural runoff process.When evaluating the impact of dams on the generation and concentration of runoff,Yuan et al (2021) found that the presence of hydraulic facilities such as dams reduced peak flows and runoff volumes, prolonged the concentration of runoff, and increased runoffF I G U R E 1 1 Land transfer map of the Min River Basin 1970-2019 (10 2 km 2 ).…”

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Characterization of the evolution of runoff‐sediment relationship in Min River based on coupling coordination theory

Wang

et al. 2023

River Research & Apps

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Global climate change and human activities have profoundly affected the hydrological processes in the basin. The study of the characteristics of runoff and sediment variations in the basin and their driving factors is of great significance in promoting the efficient use of water resources and high-quality development in the basin. The determination of the abrupt change point of the runoff-sediment relationship is the key to delineate the base period, and is important to assess the contribution of climate change and human activities to the change of the runoff-sediment relationship. Therefore, this study constructs a binary coupled coordination model of runoff and sediment load to describe the coupled runoff-sediment coordination relationship, and uses the Pettitt method and the double cumulative curve method to test for mutations. The effects of climate change and human activities on changes in runoff and sediment load were assessed using the Budyko framework-based elasticity factor method and the cumulative slope rate of change method. The results show that the

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%