scholarly journals Prediction of Soil Loss in a Reservoir Watershed Using an Erosion Model and Modern Technological Tools: A Case Study of Marathon Lake, Attica in Greece

2020 ◽  
Vol 2 (1) ◽  
pp. 63
Author(s):  
Michail Xanthakis ◽  
Kosmas Pavlopoulos ◽  
Vasilios Kapsimalis ◽  
Georgios Apostolopoulos ◽  
Gavriil Xanthopoulos ◽  
...  
Keyword(s):  
Soil Loss ◽  
Bathymetric Survey ◽  
Erosion Model ◽  
Economic Significance ◽  
Technological Tools ◽  
Current Survey ◽  
Reservoir Watershed ◽  
Of Greece ◽  
Soil Loss Equation

Marathon Lake is an artificial reservoir with great environmental, ecological, social, and economic significance because it was the main source of water for Athens, the capital of Greece, for many years. The present study details the first attempt to map sedimentation in Marathon Lake in detail, using bathymetric mapping and soil erosion field surveying of the torrent watershed areas. First, the results of a bathymetric survey carried out in 2011 were compared with topographic maps that pre-date the construction of the dam. Based on this comparison, an estimated 8.34 hm3 of sediment have been deposited in the 80 years since the dam’s construction. In the current survey, the Revised Universal Soil Loss Equation (RUSLE) was used to estimate soil loss in the watershed area of the streams that end in Marathon Lake. The estimated value from the RUSLE was substantially lower (3.02 hm3) than that calculated in the bathymetric survey.

scholarly journals Comparing watershed soil erosion of Taiwan and Thailand

2018 ◽  
Vol 192 ◽  
pp. 02041
Author(s):  
Yi-Hsin Liu ◽  
Kieu Anh Nguyen ◽  
Walter Chen ◽  
Jatuwat Wattanasetpong ◽  
Uma Seeboonruang
Keyword(s):  
Soil Erosion ◽  
Soil Loss ◽  
Soil Erodibility ◽  
Erosion Model ◽  
Shihmen Reservoir ◽  
Soil Erodibility Factor ◽  
Tropical Watersheds ◽  
Reservoir Watershed ◽  
Soil Loss Equation ◽  
Steepness Factor

Tropical watersheds in Taiwan and Thailand face the same severe soil erosion problem that is increasing at an alarming rate. In order to evaluate the severity of soil erosion, we quantitatively investigate the issue using a common soil erosion model (Universal Soil Loss Equation, USLE) on the Shihmen reservoir watershed of Taiwan and the Lam Phra Ploeng basin of Thailand, and compare their respective erosion factors. The results show an interesting contrast between the two watersheds. Some of the factors (rainfall factor, slope-steepness factor) are higher in the Shihmen reservoir watershed, while others (soil erodibility factor, cover and management factor) are higher in the Lam Phra Ploeng basin. The net result is that these factors cancel each other out, and the amount of soil erosion of the two watersheds are very similar at 68.03 t/ha/yr and 67.57 t/ha/yr, respectively.

Spatial and temporal prediction and uncertainty of soil loss using the revised universal soil loss equation: a case study of the rainfall–runoff erosivity R factor

2002 ◽  
Vol 153 (1-2) ◽  
pp. 143-155 ◽  
Author(s):  
Guangxing Wang ◽  
George Gertner ◽  
Vivek Singh ◽  
Svetlana Shinkareva ◽  
Pablo Parysow ◽  
...  
Keyword(s):  
Soil Loss ◽  
Universal Soil Loss Equation ◽  
Rainfall Runoff ◽  
Temporal Prediction ◽  
R Factor ◽  
Soil Loss Equation

scholarly journals Development Land Erosion Model Using Model Builder GIS (Case Study: Citepus Watershed)

2018 ◽  
Vol 147 ◽  
pp. 03003
Author(s):  
Dina PA Hidayat ◽  
Sih Andajani
Keyword(s):  
Soil Loss ◽  
Universal Soil Loss Equation ◽  
Rainfall Erosivity ◽  
Model Builder ◽  
Watershed Analysis ◽  
Runoff Discharge ◽  
The Impact ◽  
Impervious Areas ◽  
Soil Loss Equation

Land erosion is the impact of increasing runoff discharge and land use conversion to impervious areas. Land erosion usually calculated by formula called USLE (Universal Soil Loss Equation) then modified as MUSLE (Modified Universal Soil Loss Equation). These formula calculate average annual soil loss in tons/areas depends on rainfall erosivity (R), soil erodibility factor (K), topographic factor (LS), cropping and conservation factor (CP). GIS (Geographic Information System) is a system designed to capture, manipulate, and analyze spatial/geographic data. There are some tools related water resources analysis in ArcGIS such as: watershed analysis and also have a tools for user to create their own model called model builder. This research was aim to create a model to calculate land erosion using MUSLE formula by model builder in ArcGIS. The output for this research is the model which can be used to calculate annual soil loss in watershed area based on GIS systems. For the model trial and case study, we use Citepus watershed located on Bandung West Java, that has 5 river branches: Cibogo, Cikakak, Cilimus, Cipedes and Ciroyom. As the result of the model, the value of average annual soil loss in Citepus watershed can be calculated automatically by developed model.

scholarly journals Mining disposal erosion evaluation: A case study

2021 ◽  
Vol 882 (1) ◽  
pp. 012050
Author(s):  
Y S Novianti ◽  
U Saismana ◽  
Y Yuhanes ◽  
H N Fikri
Keyword(s):  
Land Cover ◽  
Soil Loss ◽  
Flow Distribution ◽  
Mining Activity ◽  
Distribution Model ◽  
Mining Activities ◽  
The Third ◽  
Soil Loss Equation ◽  
Reclamation Process

Abstract Mining disposal (dumping overburden) area is the primary consideration in the reclamation process in mining activities, especially in mining activity. The current study aims to determine the rate of erosion and the level of erosion hazard at mine disposal using water flow distribution. This research was conducted in a coal mine in Kalimantan. Based on the structure of the runoff flow distribution model, this study divides disposal into three land units. The universal soil loss equation in three land units was obtained for erosion values. The value for each land unit is 76 tons/ha/year, 134 tons/ha/year, and 50 tons/ha/year. These three land units are under the level of moderate and light danger of erosion. Afterward, three recommendations were made to the three land units. The first recommendation is the condition of land cover does not change, and conservation changes; the second recommendation is with changes in land cover, but conservation does not change; and the third recommendation is with conditions of land cover and conservation change. The second recommendation shows the best results compared to the other recommendations.

scholarly journals Evaluation of Agricultural Sediment Control Practices Relative to Water Quality Planning

1980 ◽  
Vol 9 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Paul D. Robillard ◽  
Michael F. Walter ◽  
Roger W. Hexem
Keyword(s):  
Water Quality ◽  
Soil Loss ◽  
Sediment Control ◽  
Quality Planning ◽  
Improvement Programs ◽  
Sediment Reduction ◽  
The Cost ◽  
Quality Improvement Programs ◽  
Soil Loss Equation

Control of sediment has become increasingly important as an element of many water quality improvement programs. An analytical method using the universal soil loss equation and linear programming to determine the cost-effectiveness of alternative sediment control practices is developed. Applications of this method to four case study farms and a hypothetical watershed are analyzed. The analyses illustrate the need for developing priorities so as to achieve greatest reduction in sediment losses per dollar of cost. The costs per unit of sediment reduction vary greatly with area, soil, and strategy or technique used.

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