定量研究达州市土壤侵蚀的时空分布状况以及不同坡度,海拔高度下的侵蚀状况,可以为达州市开展水土保持工作提供科学参考。本研究选用降雨、土壤、地形、植被覆盖度、土地利用5个侵蚀因子,基于GIS平台结合RUSLE模型得到研究区2000—2020...定量研究达州市土壤侵蚀的时空分布状况以及不同坡度,海拔高度下的侵蚀状况,可以为达州市开展水土保持工作提供科学参考。本研究选用降雨、土壤、地形、植被覆盖度、土地利用5个侵蚀因子,基于GIS平台结合RUSLE模型得到研究区2000—2020年5期的土壤侵蚀值,并分析其时空分布特征。结果表明:①在研究时段以无明显水土流失为主,无明显水土流失的面积占比由53.21%上升至86.44%;②海拔在500~1000 m的区域侵蚀情况最为严重,侵蚀面积达4540.52 km 2,中度及以上高等级侵蚀占比为28.00%;③坡度与侵蚀面积呈负相关关系,与侵蚀严重程度呈正相关关系。展开更多
Soil erosion in the Hare watershed led to significant land degradation,water pollution,and reduced agricultural productivity.Despite its effects,very few researchers have used combined morphometric and RUSLE model tec...Soil erosion in the Hare watershed led to significant land degradation,water pollution,and reduced agricultural productivity.Despite its effects,very few researchers have used combined morphometric and RUSLE model techniques to quantify soil erosion and thereby prioritize impacted areas.This work used an automated GIS-based tool(SWPT)to prioritize crucial areas based on topohydrological and morphometric factors and predict soil loss in sub-watersheds using the RUSLE model.Land use/cover data were obtained from Landsat imagery,while slope and morphometric information were extracted from digital elevation data with a resolution of 12.5 m.Soil erodibility was determined using Ethiopian soil maps,and rainfall erosivity was computed using meteorological data.An average annual soil loss of 49 t ha-1 yr-1 was observed in the Hare watershed.Sub-watershed 11 was found to be the most affected,with an average annual soil loss of 85.12 t ha-1 yr-1and a compound parameter value(CPV)of 0.059.Subwatershed 17 has the least amount of soil loss,with 3.67t ha-1 yr-1 and a CPV of 1.32.The study emphasizes the usefulness of integrating RUSLE and morphometric analysis for soil and water conservation planning,suggesting a variety of modeling tools in data-sparse locations to quantify and prioritize erosion-prone areas.展开更多
文摘定量研究达州市土壤侵蚀的时空分布状况以及不同坡度,海拔高度下的侵蚀状况,可以为达州市开展水土保持工作提供科学参考。本研究选用降雨、土壤、地形、植被覆盖度、土地利用5个侵蚀因子,基于GIS平台结合RUSLE模型得到研究区2000—2020年5期的土壤侵蚀值,并分析其时空分布特征。结果表明:①在研究时段以无明显水土流失为主,无明显水土流失的面积占比由53.21%上升至86.44%;②海拔在500~1000 m的区域侵蚀情况最为严重,侵蚀面积达4540.52 km 2,中度及以上高等级侵蚀占比为28.00%;③坡度与侵蚀面积呈负相关关系,与侵蚀严重程度呈正相关关系。
文摘Soil erosion in the Hare watershed led to significant land degradation,water pollution,and reduced agricultural productivity.Despite its effects,very few researchers have used combined morphometric and RUSLE model techniques to quantify soil erosion and thereby prioritize impacted areas.This work used an automated GIS-based tool(SWPT)to prioritize crucial areas based on topohydrological and morphometric factors and predict soil loss in sub-watersheds using the RUSLE model.Land use/cover data were obtained from Landsat imagery,while slope and morphometric information were extracted from digital elevation data with a resolution of 12.5 m.Soil erodibility was determined using Ethiopian soil maps,and rainfall erosivity was computed using meteorological data.An average annual soil loss of 49 t ha-1 yr-1 was observed in the Hare watershed.Sub-watershed 11 was found to be the most affected,with an average annual soil loss of 85.12 t ha-1 yr-1and a compound parameter value(CPV)of 0.059.Subwatershed 17 has the least amount of soil loss,with 3.67t ha-1 yr-1 and a CPV of 1.32.The study emphasizes the usefulness of integrating RUSLE and morphometric analysis for soil and water conservation planning,suggesting a variety of modeling tools in data-sparse locations to quantify and prioritize erosion-prone areas.
