scholarly journals Soil erosion assessment using revised universal soil loss equation model and geo-spatial technology: A case study of upper Tuirial river basin, Mizoram, India

2020 ◽  
Vol 6 (4) ◽  
pp. 525-544
Author(s):  
Binay Kumar Barman ◽  
◽  
K. Srinivasa Rao ◽  
Kangkana Sonowal ◽  
Zohmingliani ◽  
...  
Keyword(s):  
Soil Erosion ◽  
River Basin ◽  
Soil Loss ◽  
Equation Model ◽  
Universal Soil Loss Equation ◽  
Soil Erosion Assessment ◽  
Soil Loss Equation ◽  
Spatial Technology

scholarly journals Application of Revised Universal Soil Loss Equation (Rusle) Model to Assess Soil Erosion in “Kalu Ganga” River Basin in Sri Lanka

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
D. L. D. Panditharathne ◽  
N. S. Abeysingha ◽  
K. G. S. Nirmanee ◽  
Ananda Mallawatantri
Keyword(s):  
Land Use ◽  
Sri Lanka ◽  
Soil Erosion ◽  
River Basin ◽  
Soil Loss ◽  
Management Practices ◽  
Agricultural Land ◽  
Universal Soil Loss Equation ◽  
Rusle Model ◽  
Soil Loss Equation

Soil erosion is one of the main forms of land degradation. Erosion contributes to loss of agricultural land productivity and ecological and esthetic values of natural environment, and it impairs the production of safe drinking water and hydroenergy production. Thus, assessment of soil erosion and identifying the lands more prone to erosion are vital for erosion management process. Revised Universal Soil Loss Equation (Rusle) model supported by a GIS system was used to assess the spatial variability of erosion occurring at Kalu Ganga river basin in Sri Lanka. Digital Elevation Model (30 × 30 m), twenty years’ rainfall data measured at 11 rain gauge stations across the basin, land use and soil maps, and published literature were used as inputs to the model. The average annual soil loss in Kalu Ganga river basin varied from 0 to 134 t ha−1 year−1 and mean annual soil loss was estimated at 0.63 t ha−1 year−1. Based on erosion estimates, the basin landscape was divided into four different erosion severity classes: very low, low, moderate, and high. About 1.68% of the areas (4714 ha) in the river basin were identified with moderate to high erosion severity (>5 t ha−1 year−1) class which urgently need measures to control soil erosion. Lands with moderate to high soil erosion classes were mostly found in Bulathsinghala, Kuruwita, and Rathnapura divisional secretarial divisions. Use of the erosion severity information coupled with basin wide individual RUSLE parameters can help to design the appropriate land use management practices and improved management based on the observations to minimize soil erosion in the basin.

scholarly journals A review of soil erosion modeling by R/USLE in Morocco: Achievements and limits

2021 ◽  
Vol 234 ◽  
pp. 00067
Author(s):  
Mohamed Manaouch ◽  
Anis Zouagui ◽  
Imad Fenjiro
Keyword(s):  
Soil Erosion ◽  
Soil Loss ◽  
Review Paper ◽  
Empirical Models ◽  
Universal Soil Loss Equation ◽  
Erosion Modeling ◽  
Future Studies ◽  
Current Concerns ◽  
Soil Erosion Assessment ◽  
Soil Loss Equation

Soil erosion is a major cause of land degradation. It can be estimated with several models, such as empirical, conceptual and physical based. One of the empirical models used worldwide nowadays for soil erosion assessment is the Universal Soil Loss Equation (USLE) and its updated form, the Revised Universal Soil Loss Equation (RUSLE). In Morocco, this model is being used to assess and quantify soil loss by water erosion. In spite of this, it was noted that limited studies employed correctly this important tool. The goal of this review paper was to identify potential usage of R/USLE models in Morocco. This was done by evaluating the conducted studies concerning these models and main gaps and challenges were determined accordingly. Improvement options and future requirements for using R/USLE models were recommended. In order to assess the statues of the R/USLE models applications, the 56 published documents related to R/USLE models conducted in Morocco during the first use till 2020 were collected and reviewed. These publications covered five main areas. The main benefits as well as gaps of the conducted studies were discussed for each area. Current concerns, need of future studies as well as related recommendations and suggestions were also presented.

Identifying Potential Erosion-Prone Areas in the Indian Himalayan Region Using the Revised Universal Soil Loss Equation (RUSLE)

2021 ◽  
Vol 18 (1) ◽  
pp. 15-23
Author(s):  
Dorje Dawa ◽  
Vairaj Arjune
Keyword(s):  
Soil Erosion ◽  
Soil Loss ◽  
Large Scale ◽  
Equation Model ◽  
Universal Soil Loss Equation ◽  
Himalayan Region ◽  
Remotely Sensed Data ◽  
Study Region ◽  
Indian Himalayan Region ◽  
Soil Loss Equation

Soil erosion is one of the most critical environmental issues with severe consequences. Hence, it continues to be a significant limitation in the progress of many developing countries. Prediction and assessment of soil loss are, therefore, of utmost importance for soil fertility conservation, land and water management. Recent technological advances have provided useful models through which remotely-sensed data for a large scale area can be analysed and interpreted. The present study adopts a physiographically, biologically and climatically unique model for the assessment of soil erosion in the Indian Himalayan Region. The Revised Universal Soil Loss Equation model was applied in conjunction with Geographic Information System to estimate the average annual rate of soil erosion at both state and district levels in India. The model was deployed using coarse resolution datasets to identify specific areas vulnerable to soil erosion. In determining the spatial distribution of average annual soil erosion within the study region, all cell-based parameters of the model were multiplied in the specified 500 m × 500 m spatial resolution. The spatial pattern of annual soil erosion indicates that maximum soil loss occurs in northern and eastern states whereas low rates of erosion is observed in the eastern-most part of the study area.

Sign in / Sign up

Export Citation Format

Share Document