{"title":"使用RUSLE估算亚流域平均年土壤流失率及其优先级:以埃塞俄比亚西部奥罗米亚州Finca'aa为例","authors":"S. Kebede, F. Fufa","doi":"10.34172/ehem.2023.05","DOIUrl":null,"url":null,"abstract":"Background: Because of natural and anthropogenic phenomena, most mountain areas experience significant soil loss. It is critical for watershed management to identify high soil loss rates and prone areas. Therefore, the present research aimed to estimate spatial annual soil loss rates and prioritize soil erosion prone areas of the Finca’aa watershed at sub-watershed level. Methods: The revised universal soil loss equation (RUSLE) model, the extension of geographic information system based on five parameters: rainfall erosivity (R), soil erodibility (K), slope length and slope steepness (LS), vegetation cover (C), and conservation techniques (P), was applied. This study also used weather data, a soil type map, a digital elevation model (DEM), and land use land cover, which were all analyzed using ArcGIS 10.4. Results: Annual soil loss rates ranged from negligible to 234 t ha-1 yr-1. The average rates of soil loss was 33.3 t ha-1 yr-1. Approximately 63.36% of the catchment was within and 36.64% of the catchment was above the maximum permissible level, respectively. Approximately 1.96% were in critical condition. Agricultural practices were the primary cause in the watershed’s mountain and hilly areas. Conclusion: The outcome is critical for planners and resource managers interested in long-term watershed management. Also, it is very important for sustainable growth development of 2030 agendas.","PeriodicalId":51877,"journal":{"name":"Environmental Health Engineering and Management Journal","volume":" ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of average annual soil loss rates and its prioritization at sub-watershed level using RUSLE: A case of Finca’aa, Oromiya, Western Ethiopia\",\"authors\":\"S. Kebede, F. Fufa\",\"doi\":\"10.34172/ehem.2023.05\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Because of natural and anthropogenic phenomena, most mountain areas experience significant soil loss. It is critical for watershed management to identify high soil loss rates and prone areas. Therefore, the present research aimed to estimate spatial annual soil loss rates and prioritize soil erosion prone areas of the Finca’aa watershed at sub-watershed level. Methods: The revised universal soil loss equation (RUSLE) model, the extension of geographic information system based on five parameters: rainfall erosivity (R), soil erodibility (K), slope length and slope steepness (LS), vegetation cover (C), and conservation techniques (P), was applied. This study also used weather data, a soil type map, a digital elevation model (DEM), and land use land cover, which were all analyzed using ArcGIS 10.4. Results: Annual soil loss rates ranged from negligible to 234 t ha-1 yr-1. The average rates of soil loss was 33.3 t ha-1 yr-1. Approximately 63.36% of the catchment was within and 36.64% of the catchment was above the maximum permissible level, respectively. Approximately 1.96% were in critical condition. Agricultural practices were the primary cause in the watershed’s mountain and hilly areas. Conclusion: The outcome is critical for planners and resource managers interested in long-term watershed management. Also, it is very important for sustainable growth development of 2030 agendas.\",\"PeriodicalId\":51877,\"journal\":{\"name\":\"Environmental Health Engineering and Management Journal\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-02-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Health Engineering and Management Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34172/ehem.2023.05\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Health Engineering and Management Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34172/ehem.2023.05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
背景:由于自然和人为现象,大多数山区经历了严重的土壤流失。确定高土壤流失率和易失地对流域管理至关重要。因此,本研究旨在估算Finca 'aa流域的空间年土壤流失率,并在小流域层面对土壤侵蚀易发区进行优先排序。方法:采用基于降雨侵蚀力(R)、土壤可蚀性(K)、坡长和坡度(LS)、植被覆盖度(C)和保护技术(P) 5个参数的地理信息系统扩展——修正的通用土壤流失方程(RUSLE)模型。本研究还使用了天气数据、土壤类型图、数字高程模型(DEM)和土地利用土地覆盖,这些数据都使用ArcGIS 10.4进行分析。结果:年土壤流失率可忽略不计至234吨/年/年。土壤流失率平均为33.3 t /年/年。约63.36%的集水区在最大容许水平内,36.64%的集水区在最大容许水平以上。约1.96%患者病情危重。在流域的山地和丘陵地区,农业活动是主要原因。结论:该结果对对流域长期管理感兴趣的规划者和资源管理者至关重要。此外,这对2030年可持续增长发展议程也非常重要。
Estimation of average annual soil loss rates and its prioritization at sub-watershed level using RUSLE: A case of Finca’aa, Oromiya, Western Ethiopia
Background: Because of natural and anthropogenic phenomena, most mountain areas experience significant soil loss. It is critical for watershed management to identify high soil loss rates and prone areas. Therefore, the present research aimed to estimate spatial annual soil loss rates and prioritize soil erosion prone areas of the Finca’aa watershed at sub-watershed level. Methods: The revised universal soil loss equation (RUSLE) model, the extension of geographic information system based on five parameters: rainfall erosivity (R), soil erodibility (K), slope length and slope steepness (LS), vegetation cover (C), and conservation techniques (P), was applied. This study also used weather data, a soil type map, a digital elevation model (DEM), and land use land cover, which were all analyzed using ArcGIS 10.4. Results: Annual soil loss rates ranged from negligible to 234 t ha-1 yr-1. The average rates of soil loss was 33.3 t ha-1 yr-1. Approximately 63.36% of the catchment was within and 36.64% of the catchment was above the maximum permissible level, respectively. Approximately 1.96% were in critical condition. Agricultural practices were the primary cause in the watershed’s mountain and hilly areas. Conclusion: The outcome is critical for planners and resource managers interested in long-term watershed management. Also, it is very important for sustainable growth development of 2030 agendas.