Response of slope surface roughness to wave-induced erosion during water level fluctuating
文献类型:期刊论文
作者 | Gu Ju1; Liu Gang1,2; Abd Elbasit, Mohamed Ahmed Mohamed3; Shi Hong-qiang1 |
刊名 | JOURNAL OF MOUNTAIN SCIENCE |
出版日期 | 2020-04-01 |
卷号 | 17期号:4页码:871-883 |
ISSN号 | 1672-6316 |
关键词 | Bank erosion Erosion rate Micro topography Soil surface roughness Breaking point |
DOI | 10.1007/s11629-019-5745-8 |
通讯作者 | Liu Gang(gliu@foxmail.com) |
英文摘要 | The bank slopes in hydro-fluctuation areas of reservoirs or lakes suffer from severe erosion due to an absence of protection. Waves are one of the important external forces that cause bank erosion and slope failures. However, the processes and quantified impacts of wave-induced erosion on slopes remain unclear under different water level-fluctuation conditions. This paper focuses on the characteristics of wave-induced slope erosion under three conditions: water level dropping (WLD), fixed (WLF) and rising (WLR). A steel tank with glass pane was used to simulate the wave-induced slope erosion in the three treatments. The slope elevation data were collected by using the method of the pin meter for every 15 minutes from the beginning to the end, a total of 5 times during all treatments. These data were processed by using software (SURFER 9.0) to get the slope micro-topography and the erosion volume. Then the temporal and spatial change of slope erosion was analysed according to the erosion amount or erosion rate calculated based on bulk density of slope soil. The results demonstrated that the soil erosion rates for different water level changing treatments are in the following order: WLR>WLD>WLF. For the erosion spatial variation, the middle part of the slope was the major source of sediment in the WLD. The upper part of the slope was the major source of the sediment for the other two treatments. Compared with the standard deviation (SD), the coefficient of variation (CV) based on the SD is more representative of variations in the soil surface roughness (SSR). Furthermore, the good fit between the SSR and soil erosion rate have the potential to be used to predict soil erosion. Above all, the injection angle of the wave determined the rate of erosion to some extent, and the fall-back flow of the wave could also influence the extent of erosion, deposition, and bank morphology. It is vital to choose the appropriate index (SD or CV) in the three water levels to improve the prediction accuracy. This paper could provide scientific knowledge to manage reservoirs or river banks. |
WOS关键词 | 3 GORGES RESERVOIR ; RIVER-BANK EROSION ; RIPARIAN ZONE ; SOIL-EROSION ; FLOW ; STABILITY ; VEGETATION ; DYNAMICS ; FAILURE ; RUNOFF |
资助项目 | National Natural Science Foundation of China[41761144060] ; Innovative Talents Promotion Plan in Shaanxi Province[2017KJXX-83] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | SCIENCE PRESS |
WOS记录号 | WOS:000525174500008 |
资助机构 | National Natural Science Foundation of China ; Innovative Talents Promotion Plan in Shaanxi Province |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/133776] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Liu Gang |
作者单位 | 1.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dry Land Farming Loess, Yangling 712100, Shaanxi, Peoples R China 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 3.Agr Res Council, Inst Soil Climate & Water, Private Bag X79, ZA-0001 Pretoria, South Africa |
推荐引用方式 GB/T 7714 | Gu Ju,Liu Gang,Abd Elbasit, Mohamed Ahmed Mohamed,et al. Response of slope surface roughness to wave-induced erosion during water level fluctuating[J]. JOURNAL OF MOUNTAIN SCIENCE,2020,17(4):871-883. |
APA | Gu Ju,Liu Gang,Abd Elbasit, Mohamed Ahmed Mohamed,&Shi Hong-qiang.(2020).Response of slope surface roughness to wave-induced erosion during water level fluctuating.JOURNAL OF MOUNTAIN SCIENCE,17(4),871-883. |
MLA | Gu Ju,et al."Response of slope surface roughness to wave-induced erosion during water level fluctuating".JOURNAL OF MOUNTAIN SCIENCE 17.4(2020):871-883. |
入库方式: OAI收割
来源:地理科学与资源研究所
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