scholarly journals Geographic Information System (GIS) based soil loss estimation using Universal Soil Loss Equation Model (USLE) for soil conservation planning in Karesa Watershed, Dawuro Zone, South West Ethiopia

2019 ◽  
Vol 11 (8) ◽  
pp. 143-158
Author(s):  
Bekele Bagegnehu ◽  
Muluneh Alemayehu ◽  
Wondrade Nigatu
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Conservation Planning ◽  
Soil Conservation ◽  
Soil Loss ◽  
Geographic Information ◽  
Equation Model ◽  
South West ◽  
South West Ethiopia ◽  
Soil Loss Equation

scholarly journals Geographic information system-based decision support for soil conservation planning in Tajikistan

2010 ◽  
Vol 65 (3) ◽  
pp. 151-159 ◽  
Author(s):  
E. Buhlmann ◽  
B. Wolfgramm ◽  
D. Maselli ◽  
H. Hurni ◽  
S. R. Sanginov ◽  
...  
Keyword(s):  
Information System ◽  
Decision Support ◽  
Geographic Information System ◽  
Conservation Planning ◽  
Soil Conservation ◽  
Geographic Information

scholarly journals Soil erosion estimation using Geographic Information System (GIS) and Revised Universal Soil Loss Equation (RUSLE) in the Siwalik Hills of Nawalparasi, Nepal

2021 ◽  
Author(s):  
Durga Bahadur Tiruwa ◽  
Babu Ram Khanal ◽  
Sushil Lamichhane ◽  
Bharat Sharma Acharya
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Soil Erosion ◽  
Soil Loss ◽  
Geographic Information ◽  
Universal Soil Loss Equation ◽  
Conservation Practices ◽  
Erosion Hotspots ◽  
Soil Loss Equation

Abstract Soil erosion is one of the gravest environmental threats to the mountainous ecosystems of Nepal. Here, we combined a Geographic Information System (GIS) with the Revised Universal Soil Loss Equation (RUSLE) to estimate average annual soil loss, map erosion factors, compare soil erosion risks among different land use types, and identify erosion hotspots and recommend land use management in the Girwari river watershed of the Siwalik Hills. The annual soil loss was estimated using RUSLE factors: rainfall erosivity (R), soil erodibility (K), slope length and steepness (LS), cover crops (C), and conservation practices (P), and erosion factors maps were generated using GIS. Results indicate highest total erosion occurring in hill forests (13,374.3 t yr–1) and lowest total erosion occurring in grasslands (2.9 t yr–1). Hill forests showed high to very severe erosion due to steepness of hills, open forest types, and minimal use of conservation practices. Also, erosion hotspots (>15 t ha–1 yr–1) occurred in only 4.2% of the watershed, primarily in steep slopes. Overall, these results provide important guidelines to formulate management plans and informed decisions on soil conservation at local to regional levels. While the study is the first effort to assess soil erosion dynamics in the Girwari river watershed, potential for application in other basins largely exists.

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