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.

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 Calculation Of Sedimentation Rate at Sempor Reservoirs in 2018 Using Modified Universal Soil Loss Equation Method (MUSLE)

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Septi Arini ◽  
Yulaikhah Yulaikhah ◽  
Bambang Kun Cahyono
Keyword(s):  
Water Pollution ◽  
Land Cover ◽  
Sedimentation Rate ◽  
Soil Loss ◽  
Major Influence ◽  
Sediment Thickness ◽  
River Region ◽  
Watershed Boundary ◽  
Soil Loss Equation ◽  
Conservation Factor

Sempor Reservoir located in the Telomoyo River Basin in the Serayu River region is categorized as one of the priority watersheds based on the 2015-2019 Strategic Plan of the Ministry of Environment and Forestry. Priority watershed is a watershed that gets more attention in controlling water pollution, one of which is sedimentation. Watershed observation and management activities are needed for the reservoir to operate optimally. One of the observations and management activities of the Sempor Watershed is the calculation of sedimentation rate. In this research the sedimentation rate was calculated using the MUSLE method that included runoff parameter, erodibility, slope, land cover and conservation factor. The Sempor watershed boundary is obtained through delineation of DEM. The calculation is done by utilizing a Geographic Information System (GIS) through analysis of soil type maps, length and slope maps,  land cover and conservation maps with the boundaries of the Sempor Reservoir. Based on this result, the Sempor Reservoir has a sedimentation rate of 166,173,500 tons/year and a sedimentation thickness rate of 3,7259 mm/year. According to the provisions of the Ministry of Forestry in 2009, the rate of sedimentation thickness in the Sempor Reservoir is included in the medium class. The river as one of the potential means of sediment transport contributes to the rate of sediment thickness of 3.7256 mm /year, while for areas outside the river coverage it only 0.003 mm/year. The river has a major influence on sedimentation in the Sempor Reservoir.

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 Estimasi Tingkat Bahaya Erosi dengan Menggunakan Metode USLE Pada Daerah Aliran Sungai (DAS) Amandit

2021 ◽  
Vol 1 (1) ◽  
pp. 17-27
Author(s):  
Julita Safitri ◽  
Deasy Arisanty ◽  
Sidharta Adyatma ◽  
Karunia Puji Hastuti
Keyword(s):  
Data Analysis ◽  
Soil Erosion ◽  
Land Cover ◽  
Land Degradation ◽  
Soil Loss ◽  
Universal Soil Loss Equation ◽  
Erosion Hazard ◽  
Hazard Level ◽  
Weight Classification ◽  
Soil Loss Equation

Abstrak: Erosi tanah menjadi semakin meningkat setiap tahun yang disebabkan oleh terjadinya peningkatan kerusakan lahan. Daerah Aliran Sungai (DAS) Amandit mengalami kerusakan lahan yang ditandai dengan luasnya lahan kritis pada DAS tersebut yang akan berpengaruh pada tingginya tingkat bahaya erosi pada DAS tersebut. Penelitian ini bertujuan untuk menganalisis tingkat bahaya erosi yang terjadi pada Daerah Aliran Sungai (DAS) Amandit. Penelitian ini menggunakan peta bentuklahan sebagai dasar pengambilan sampel. Jumlah sampel dalam penelitian ini adalah 18 buah sampel. Analisa data yang digunakan adalah berdasarkan Metode Universal Soil Loss Equation (USLE) yang digunakan untuk mengetahui tingkat bahaya erosi yang terjadi pada wilayah penelitian. Hasil penelitian menunjukkan tingkat bahaya erosi yang terjadi di Daerah Aliran Sungai (DAS) Amandit termasuk dalam klasifikasi berat-sangat berat. Tingkat bahaya erosi yang paling tinggi adalah 1276.535 ton/ha/tahun. Faktor yang dominan yang mengakibatkan tingkat bahaya erosi pada Daerah Aliran Sungai (DAS) Amandit termasuk dalam klasifikasi berat-sangat berat adalah kemiringan lereng, nilai erodibilitas yang tinggi, dan tutupan lahan. Kata Kunci: Tingkat Bahaya Erosi (TBE), Bentuklahan, USLE, DAS Amandit Abstract: Soil erosion is increasing every year due to increased land degradation. The Amandit Watershed has suffered damage which affects critical land in the watershed which will affect the level of erosion hazard in the watershed. This study aims to analyze the level of erosion that occurs in the Amandit Watershed. This study uses a landform map as a basis for sampling. The number of samples in this study were 18 samples. The data analysis used is based on the Universal Soil Loss Equation (USLE) method which is used to see the level of erosion hazard that occurs in the study area. The results showed that the level of erosion that occurred in the Amandit Watershed was classified as heavy-very heavy. The highest level of erosion was 1276.535 ton/ha/year. The dominant factors resulting in the level of erosion in the watershed (DAS) included in the weight-very weight classification are the slope of the slope, high erodibility values and land cover. Keywords: Erosion Hazard Level, Landform, USLE, Amandit Watershed

scholarly journals Innovative transformations of a model for flow distribution in gas systems and their new properties

2019 ◽  
Vol 102 ◽  
pp. 02004
Author(s):  
Nikolay I. Ilkevich ◽  
Tatyana.V. Dzyubina ◽  
Zhanna.V. Kalinina
Keyword(s):  
Network Analysis ◽  
Flow Distribution ◽  
Supply System ◽  
Distribution Model ◽  
Gas Flows ◽  
Modern Development ◽  
Gas System ◽  
Gas Supply

The methods of network analysis are widely used in mathematical modelling of optimal gas flows to solve the problems of long-term planning and development of gas systems. However, the modern development of gas systems, their renovation and modernization require that the new trends in innovative transformation should be taken into account in the mathematical models for their research as well. This paper is focused on the proposals for considering the new properties of gas system in the mathematical flow distribution model as compared to the traditional formulation. Case study involves the calculation of gas flows for an aggregated unified gas supply system for the period up to 2030. This calculation allows for the edge coefficients and a gain in the transmission capacities of the edges.

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.

Sign in / Sign up

Export Citation Format

Share Document