Runoff and sediment simulation of terraces and check dams based on underlying surface conditions

被引：0
作者：
Guo Li
Chengshuai Liu
Huadong Zhao
Youqian Chen
Jinfeng Wang
Fan Yang
机构：
[1] School of Politics and Public Administration of Zhengzhou University,School of Water Conservancy Science and Engineering
[2] Zhengzhou University,College of Mechanical and Power Engineering
[3] Zhengzhou University,China Institute of FTZ Supply Chain
[4] Intelligent Manufacturing Research Institute of Henan Province,undefined
[5] Shanghai Maritime University,undefined
来源：
Applied Water Science | 2023年 / 13卷
关键词：
Runoff generation; LSTM; Deep learning; Check dam; Terraces; Hydrological models;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In the past few decades, the Loess Plateau has undergone large-scale underlying surface changes. A large number of soil and water conservation measures have been constructed, which have affected the runoff and sediment status in the region. How runoff and sediment status respond to underlying surface changes is the key to quantitatively evaluate the effect of water and sediment reduction by soil and water conservation measures in flood events. We selected check dams and terraced fields, which account for a large proportion of soil and water conservation measures as assessment objects and constructed a runoff-sediment model combining traditional physical mechanisms and deep learning to simulate and analyze flood events in a typical basin of the Loess Plateau. The results show that the simulation effect of model is good. The relative error of runoff is within 15%, average Nash–Sutcliffe efficiency coefficient is 0.86, and the relative error of soil loss is within 30%. Check dam system in the Chenggou River Basin can intercept 55.61% of the runoff and 47% of the soil loss in the basin on average, and terracing can reduce the runoff by 10.54% and the soil loss by 33.8%.
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