Assessment of gully influencing factors and susceptibility using remote sensing-based frequency ratio method in Sunshui River Basin, Southwest China
文献类型:期刊论文
作者 | Laraib, Sheikh3,4; Xiong, Donghong2,4![]() |
刊名 | ENVIRONMENTAL MONITORING AND ASSESSMENT
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出版日期 | 2024-08-01 |
卷号 | 196期号:8页码:19 |
关键词 | Gully erosion Spatial distribution Influencing factors Gully susceptibility Frequency ratio |
ISSN号 | 0167-6369 |
DOI | 10.1007/s10661-024-12889-4 |
英文摘要 | Gully erosion is a serious global environmental problem associated with land degradation and ecosystem security. Examining the influencing factors of gullies and determining susceptibility hold significance in environmental sustainability. The study evaluates the spatial distribution, influencing factors, and susceptibility of gullies in the Sunshui River Basin in Sichuan Province, Southwest China. The frequency ratio method supported by satellite images and the gully inventory dataset (1614 gully head points) with different influencing factors were applied to assess the distribution and susceptibility of gullies. Additionally, gully head points were grouped into a training set (70%, 1130 points) and a test set (30%, 484 points). Spatial distribution results indicated that most gullies are located in the middle and upper part of the basin, characterized by moderate elevation (2100-3300 m), steep slopes (11.63-27.34 degrees), abandoned farmland, and Cambisols soil, and fewer gullies are located in lower part characterized by lower elevation, gentle slopes, and low vegetation coverage. Land use and land cover influence on susceptibility is significantly greater than other factors with a prediction rate of 33.9, especially farmland abandonment, while the occurrence of gullies is also more often on southwest-orientated slopes. Gully susceptibility highlighted that the study area affected by the very low, low, moderate, high, and very high susceptibilities to these gullies covered an area of about 16%, 23%, 32%, 26%, and 3% of the total basin respectively, which indicates 61% of the study area is susceptible to gully erosion. Moderate to high susceptibility is situated in the upper and middle part, consistent with the spatial distribution of gullies in the basin, and very high susceptibility (3%) is distributed in both the lower and upper parts of the basin. These results have important implications for soil loss control, land planning, and integrated watershed management in the mountainous areas of Southwest China. |
WOS关键词 | STATISTICAL-MODELS ; EROSION ; BIVARIATE ; AREAS ; GIS |
资助项目 | Science and Technology Research Program of the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:001272376200001 |
出版者 | SPRINGER |
资助机构 | Science and Technology Research Program of the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences |
源URL | [http://ir.imde.ac.cn/handle/131551/58194] ![]() |
专题 | 成都山地灾害与环境研究所_山地灾害与地表过程重点实验室 |
通讯作者 | Xiong, Donghong |
作者单位 | 1.Chengdu Univ Informat Technol, Coll Resources & Environm, Chengdu 610225, Peoples R China 2.CAS TU, Kathmandu Ctr Res & Educ, Branch Sustainable Mt Dev, Kathmandu 44600, Nepal 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Mt Hazards & Environm, State Key Lab Mt Hazards & Engn Resilience, Chengdu 610299, Peoples R China |
推荐引用方式 GB/T 7714 | Laraib, Sheikh,Xiong, Donghong,Zhao, Dongmei,et al. Assessment of gully influencing factors and susceptibility using remote sensing-based frequency ratio method in Sunshui River Basin, Southwest China[J]. ENVIRONMENTAL MONITORING AND ASSESSMENT,2024,196(8):19. |
APA | Laraib, Sheikh.,Xiong, Donghong.,Zhao, Dongmei.,Shrestha, Buddhi Raj.,Liu, Lin.,...&Zhang, Wenduo.(2024).Assessment of gully influencing factors and susceptibility using remote sensing-based frequency ratio method in Sunshui River Basin, Southwest China.ENVIRONMENTAL MONITORING AND ASSESSMENT,196(8),19. |
MLA | Laraib, Sheikh,et al."Assessment of gully influencing factors and susceptibility using remote sensing-based frequency ratio method in Sunshui River Basin, Southwest China".ENVIRONMENTAL MONITORING AND ASSESSMENT 196.8(2024):19. |
入库方式: OAI收割
来源:成都山地灾害与环境研究所
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