scholarly journals Soil loss assessment in the Tasik Chini catchment, Pahang, Malaysia

2010 ◽  
Vol 56 ◽  
pp. 1-7 ◽  
Author(s):  
Sujaul Islam Mir ◽  
◽  
Muhammad Barzani Gasim ◽  
Sahibin Abd. Rahim ◽  
Mohd Ekhwan Toriman ◽  
...  
2014 ◽  
Vol 23 (2) ◽  
pp. 47-57 ◽  
Author(s):  
J. R. Ni ◽  
◽  
A. Wu ◽  
T. H. Li ◽  
Y. Yue ◽  
...  
Keyword(s):  

Geonauka ◽  
2013 ◽  
Vol 01 (03) ◽  
pp. 6-11 ◽  
Author(s):  
Veljko Perović ◽  
Stanimir Kostadinov ◽  
Darko Jaramaz ◽  
Ratko Kadović

2015 ◽  
Vol 12 (5) ◽  
pp. 815-825 ◽  
Author(s):  
Massimo Conforti ◽  
Gabriele Buttafuoco ◽  
Valeria Rago ◽  
Pietro P.C. Aucelli ◽  
Gaetano Robustelli ◽  
...  
Keyword(s):  

2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Latifa Bou-imajjane ◽  
Mhamed Alaeddine Belfoul

Soil loss triggered by water erosion constitutes a major issue that causes several environmental and socioeconomic concerns. The Moroccan Western High Atlas is the most vulnerable area in the High Atlas Mountains, due to the existence of different forms of landslides, and evidences of erosion are widely observed. This study aims at estimating and quantifying the amount of soil loss as well as highlighting potential areas to erosion risk, using the Revised Universal Soil Loss Equation (RUSLE) combined with GIS and remote sensing. The RUSLE model provides a possibility of computing erosion susceptibility for each pixel on the basis of the controlling factors which are rainfall aggressivity, topography, vegetation cover, soil erodibility, and support practices. In this study, results show that the erosion rate varies between 0 and 227.67 t/ha/year, with an average annual soil loss of 40.38 t/ha/year, and the Beni Mohand River basin is subject to very high rates of erosion which can be irreversible since it exceeds the tolerable standard rate which is 1 t/ha/year. These findings will provide land use planners baseline for land use and risk management and will provide data within the Moroccan Western High Atlas Mountains.


2020 ◽  
Vol 1 (1) ◽  
pp. 56-67
Author(s):  
P.C. Chanyal ◽  

Watershed characterization is the most important part of watershed management which includes soil loss, soil loss assessment indicates the amount of soil loss or erosion in ton/hectare/ year through applying to Geospatial techniques as Remote sensing and GIS. The agricultural land is being lost by manmade as well natural whereas manmade or anthropogenic factor accelerates erosion of soil. It is a worldwide phenomenon leading to loss of decrease of water table availability for plants, increases runoff from the more impermeable subsoil, and loss of nutrients from the soil. Watershed management and assessment of soil loss are most helpful for planning and batter management in a watershed and planning units. Remote sensing and GIS along with the satellite image-based model approach provides a scientific, quantitative, and applied result. It can compute a consistent outcome of soil erosion and sediment yield for a wide range of areas under all climatic circumstances. Revised Universal Soil Loss Equation (RUSLE) apply to soil loss, which is integrated with Remote Sensing and GIS in Tons watershed lies between 77°56’05” E to 78°01’01” East longitude and 30° 21’05” N to 30°26’51” North latitude, having 97.02 km2 area (9,702 hectares) under the sub-tropical climatic region of Uttarakhand. The present case study based on computational with software and geospatial technologies results come i.e. A = is the computed soil loss per unit area, R = is the rainfall erosivity, K = is the soil erodibility factor, L = is the slope-length factor, C = is the cover and management factor, P = is the support practice factor. The rainfall erosivity (R=87.5 + 0.375 × R), C P is under range 0.006-0.8, Soil Erosion Risk range is slight to High 51.40% and 0.85% total area of the study region. Average annual soil loss ton/ha/year indicated in different land-use classification as lowest soil loss found in River bed (0.17 ton/ha/year) and highest shown in the open forest (56.58 ton/ha/year) in 2016. The study area comes under a low probability zone and partially comes under a moderate and moderate-high zone. The case study can be highly recommended and will help to implementation of management of soil loss and soil conservation practice in the Tons watershed as well as Himalayan regions. Keywords: RUSLE, Tons Watershed, Soil Loss, Remote Sensing & GIS, Garhwal Himalaya.


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