scholarly journals Estimation of Soil Erosion using USLE and GIS

2019 ◽  
Vol 8 (2) ◽  
pp. 3936-3939
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Soil Erosion ◽  
Soil Loss ◽  
Erosion Rate ◽  
Environmental Problem ◽  
Gis Technique ◽  
Economic Imbalances ◽  
Factor C ◽  
Soil Loss Equation

Soil erosion is one of the most serious environmental problem which must be taken in to consideration to prevent economic imbalances in nature. Soil erosion not only affect the agricultural productivity but also increases level of sedimentation. The study was carried out to determine the soil erosion for the watershed which is located in Godavari middle sub basin, Nanded district, Maharashtra state (India). The universal soil loss equation (USLE) and Geographic information system (GIS) technique was used to determine soil erosion. Present study revealed that, the study area is under moderate erosion with an average soil loss 7.233 tones/ha/yr. Where as minimum and maximum erosion rate observed as 5.39 tones/ha/yr to 10.27 tones/ha/yr respectively. The various maps of USLE factors prepared in QGIS environment. Statistically significant relationship obtained between soil loss and cover management factor (C). It was observed that C factor more influences in soil loss than any other factor.

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.

scholarly journals Analisis Spasial dan Basis Data Tingkat Bahaya Erosi dengan Menggunakan Sistem Informasi Geografis dan Visual Basic

2019 ◽  
Vol 12 (2) ◽  
pp. 23-38
Author(s):  
Dewi Sri Jayanti ◽  
Maulidawati Maulidawati ◽  
Mahbahgie Mahbahgie
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Soil Loss ◽  
Erosion Rate ◽  
Source Code ◽  
Visual Basic ◽  
Geographic Information ◽  
Universal Soil Loss Equation ◽  
Erosion Hazard ◽  
Soil Loss Equation

Erosi mengakibatkan kerusakan fungsi hidrologis daerah aliran sungai, juga kehilangan lapisan tanah yang subur dan baik untuk pertumbuhan tanaman serta kemampuan tanah dalam menyerap dan menahan air menjadi berkurang. Penyusunan basis data tingkat bahaya erosi ini diharapkan dapat memberikan informasi yang akurat dan up to date mengenai potensi tingkat bahaya erosi yang terjadi di wilayah Sub DAS Krueng Keumireu. Sub DAS Krueng Keumireu merupakan bagian dari DAS Krueng Aceh yang termasuk ke dalam sungai dengan prioritas I. Penelitian ini bertujuan untuk menduga tingkat bahaya erosi dan menyusun aplikasi basis data dengan menggunakan sistem informasi geografis dan Visual Basic 2010. Metode yang digunakan untuk pendugaan laju erosi yang terjadi menggunakan metode USLE (Universal Soil Loss Equation), pengelolaan data-data spasial menggunakan Sistem Informasi Geografi dan penyususan basis data menggunakan Visual Basic.Net 2010. Hasil penelitian menunjukkan bahwa kondisi Sub DAS Krueng Keumireu masih dalam kategori sangat ringan hingga ringan dengan persentase 38% kategori sangat ringan dan 36% kategori ringan dengan laju bahaya erosi tertinggi sebesar 1.388,8843 ton/ha/tahun dan laju bahaya erosi terendah sebesar 0,1618 ton/ha/tahun. Sehingga upaya konservasi yang dapat dilakukan dengan pemberian mulsa mau pun pengelolaan Program aplikasi basis data sudah dapat dijalankan dengan baik tanpa ada kesalahan source code sehingga informasi tingkat bahaya erosi yang ditampilkan sudah dapat diakses oleh user.Spatial Analysis and Erosion Hazard Level Database by Using Geographic Information System and Visual Basic.Erosion results in damage to the hydrological function of the watershed, as well as the loss of fertile soil layers and good for plant growth and the ability of the soil to absorb and retain water becomes reduced. Preparation of erosion hazard data base expected to provide accurate and information up to date about the potential level of erosion hazard that occurs in the Krueng Keumireu Sub-watershed area. Krueng Keumireu Sub-watershed is part of the Krueng Aceh watershed which belongs to the river with priority I. This study aims to estimate the level of erosion hazard and develop database applications using geographic information systems and Visual Basic 2010. The method used to estimate the rate of erosion occurred using the USLE (Universal Soil Loss Equation) method, spatial data management using Geographic Information System and database deduction using Visual Basic.Net 2010. The results showed that the condition of Krueng Keumireu Sub watershed is still in very light to light category with the percentage 38 % very light category and 36% light category with the highest erosion rate of 1,388,8843 ton/ha/year and the lowest erosion rate of 0,1618 ton/ha/year. So with such conditions can be carried out conservation efforts such as mulching and land management in a simple way. Database application program can be run properly without any error source code so that the information level of erosion hazard that displayed can be accessed by the user. 

scholarly journals Estimation of soil loss using remote sensing and GIS-based universal soil loss equation in northern catchment of Lake Tana Sub-basin, Upper Blue Nile Basin, Northwest Ethiopia

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Veera Narayana Balabathina ◽  
R. P. Raju ◽  
Wuletaw Mulualem ◽  
Gedefaw Tadele
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Soil Erosion ◽  
Soil Loss ◽  
Erosion Rate ◽  
Soil Erodibility ◽  
Lake Tana ◽  
Erosion Rates ◽  
Soil Erosion Rate ◽  
Soil Loss Equation

Abstract Background Soil erosion is one of the major environmental challenges and has a significant impact on potential land productivity and food security in many highland regions of Ethiopia. Quantifying and identifying the spatial patterns of soil erosion is important for management. The present study aims to estimate soil erosion by water in the Northern catchment of Lake Tana basin in the NW highlands of Ethiopia. The estimations are based on available data through the application of the Universal Soil Loss Equation integrated with Geographic Information System and remote sensing technologies. The study further explored the effects of land use and land cover, topography, soil erodibility, and drainage density on soil erosion rate in the catchment. Results The total estimated soil loss in the catchment was 1,705,370 tons per year and the mean erosion rate was 37.89 t ha−1 year−1, with a standard deviation of 59.2 t ha−1 year−1. The average annual soil erosion rare for the sub-catchments Derma, Megech, Gumara, Garno, and Gabi Kura were estimated at 46.8, 40.9, 30.9, 30.0, and 29.7 t ha−1 year−1, respectively. Based on estimated erosion rates in the catchment, the grid cells were divided into five different erosion severity classes: very low, low, moderate, high and extreme. The soil erosion severity map showed about 58.9% of the area was in very low erosion potential (0–1 t ha−1 year−1) that contributes only 1.1% of the total soil loss, while 12.4% of the areas (36,617 ha) were in high and extreme erosion potential with erosion rates of 10 t ha−1 year−1 or more that contributed about 82.1% of the total soil loss in the catchment which should be a high priority. Areas with high to extreme erosion severity classes were mostly found in Megech, Gumero and Garno sub-catchments. Results of Multiple linear regression analysis showed a relationship between soil erosion rate (A) and USLE factors that soil erosion rate was most sensitive to the topographic factor (LS) followed by the support practice (P), soil erodibility (K), crop management (C) and rainfall erosivity factor (R). Barenland showed the most severe erosion, followed by croplands and plantation forests in the catchment. Conclusions Use of the erosion severity classes coupled with various individual factors can help to understand the primary processes affecting erosion and spatial patterns in the catchment. This could be used for the site-specific implementation of effective soil conservation practices and land use plans targeted in erosion-prone locations to control soil erosion.

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