A novel two-dimensional numerical model developed for slope soil erosion

被引：0

作者：

Wang, Tian ^{[1
,3
]}

Hou, Jingming ^{[1
]}

Li, Jingsi ^{[2
]}

Li, Peng ^{[1
,3
]}

Tong, Yu ^{[1
]}

Zhang, Naichang ^{[4
]}

Cheng, Shengdong ^{[1
,3
]}

Li, Jing ^{[1
]}

Li, Zhanbin ^{[1
,3
]}

机构：

[1] Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Shaanxi, Peoples R China

[2] Shaanxi Prov Inst Runoff Resources & Elect Power I, Xian 710005, Shaanxi, Peoples R China

[3] Xian Univ Technol, Key Lab Natl Forestry Adm Ecol Hydrol & Disaster P, Xian 710048, Shaanxi, Peoples R China

[4] Northwest Engn Corp Ltd, Xian 710065, Peoples R China

来源：

CATENA | 2023年 / 232卷

基金：

中国国家自然科学基金;

关键词：

Numerical simulation; Sediment transport capacity; Soil erosion; Spatial distribution; Contribution rate; Loessal slope; SEDIMENT TRANSPORT; HYDRAULIC PARAMETERS; LOESS PLATEAU; RILL EROSION; VEGETATION; SIMULATION; DETACHMENT; DEPOSITION; EQUATIONS; RAINFALL;

D O I：

10.1016/j.catena.2023.107387

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Simulated slope erosion sediment yield and its development process have great significance for quantitative evaluation of erosion and its sources. In this study, a loess slope erosion experiment was implemented indoors to establish a sediment transport capacity formula suitable for loess slope erosion. A two-dimensional slope erosion numerical model was developed with corrected sediment transport capacity formula, and the model was verified by a simulated indoor slope rainfall erosion experiment. The results showed that the corrected slope sediment transport capacity formula is suitable for loess slopes. The proposed two-dimensional slope erosion numerical model could simulate runoff and sediment processes in a relatively more accurate. The most severely eroded areas were the middle and lower parts on erosion spatial contribution based on the simulation erosion results. Good agreements between the simulated and observed results were found for erosion and its spatial distribution. The research results can further improve loessal slope erosion process simulation and prediction.

引用

页数：13

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