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 Analysis of Erosion Hazard at Gagakan Sub-Watershed, Blora District, Central Java Province, Indonesia

2017 ◽  
Vol 1 ◽  
pp. 85-89
Author(s):  
Diah Auliyani ◽  
Tyas Mutiara Basuki
Keyword(s):  
Information System ◽  
Soil Erosion ◽  
Carrying Capacity ◽  
Soil Loss ◽  
Erosion Hazard ◽  
Central Java ◽  
Hazard Level ◽  
Watershed Slope ◽  
Central Java Province ◽  
Soil Loss Equation

Availability of soil erosion data is crucial for recovering carrying capacity of a degraded watershed. This study aims to analyze the level of soil erosion hazard in Gagakan Sub-Watershed, located at the downstream of Solo Watershed. Slope steepness of this area vary from very steep at the upper part and flat at the downstream. The dominant land cover is teak forest which consists of young and old stands. The level of soil erosion hazard was calculated by USLE (Universal Soil Loss Equation) and then analyzed spatially using GIS (Geographic Information System). The degree of erosion hazard was classified into five classes, i.e very slight, slight, moderate, severe, and very severe. The results showed that erosion hazard level of Gagakan sub-watershed ranged from very slight to very severe. The dominant is very slight (69%), while the others classified as slight (11%), moderate (15%), severe (1%), and very severe (4%). The countermeasures of soil erosion should be focused on the area with severe and very severe level of erosion hazard.

scholarly journals Prediksi Tingkat Bahaya Erosi di Kecamatan Lembah Seulawah Kabupaten Aceh Besar

2018 ◽  
Vol 3 (2) ◽  
pp. 381-390
Author(s):  
M. Haris Syahputra ◽  
M. Rusli Alibasyah ◽  
Syakur Syakur
Keyword(s):  
Soil Loss ◽  
Soil Analysis ◽  
Universal Soil Loss Equation ◽  
Survey Method ◽  
Erosion Hazard ◽  
Preparation Phase ◽  
Hazard Level ◽  
Study Sites ◽  
Th 1 ◽  
Soil Loss Equation

Abstrak. Penelitian ini bertujuan untuk mengetahui tingkat bahaya erosi di Kecamatan Lembah Seulawah Kabupaten Aceh Besar. Metode penelitian menggunakan metode survei yang didasarkan pada hasil pengamatan di lapangan  dan analisis tanah di Laboratorium. Erosi dihitung dengan menggunakan persamaan Universal Soil Loss Equation (USLE) yang dikemukakan oleh Wischmeier dan Smith pada tahun 1978. Metode USLE mengamati beberapa aspek seperti erosivitas, erodibilitas, faktor panjang dan kemiringan lereng, dan faktor pengelolaan tanaman dan tindakan konservasi. Secara garis besar penelitian ini dilaksanakan beberapa tahap yaitu, tahap persiapan, pengumpulan data, pelaksanaan lapangan dan pengambilan sampel tanah, dan analisis data. Hasil penelitian menunjukkan bahwa di lokasi penelitian terdapat tujuh belas satuan peta lahan (SPL) dengan total luas areal 31.935,56 Hektar. Erosi aktual tertinggi dijumpai pada SPL 7 yaitu sebesar 2.699,92 ton ha-1 th-1 dan erosi aktual terendah dijumpai pada SPL 14 yaitu 0,82 ton ha-1 th-1. Erosi potensial tertinggi dijumpai pada SPL 1 yaitu sebesar 5.774,84 ton ha-1 th-1 dan erosi potensial terendah dijumpai pada SPL 16 yaitu 48,53 ton ha-1 th-1. Terdapat 5 klasifikasi tingkat bahaya erosi yaitu tingkat bahaya erosi sangat ringan (SR) pada SPL 16, tingkat bahaya erosi ringan (R) pada SPL 17, tingkat bahaya erosi sedang (S) pada SPL 10, 14, dan 15, tingkat bahaya erosi berat (B) pada SPL 4, 7, 11, 12, dan 13, dan tingkat bahaya erosi sangat berat (SB) pada SPL 1, 2, 3, 5, 6, 8, dan 9.Prediction of Erosion Hazard at Lembah Seulawah Sub-distrik Aceh BesarAbstract. This study aims to determine the level of erosion hazard in Lembah Seulawah, Aceh Besar District. The research method is used survey method based on field observation and soil analysis in the laboratory. Erosion is calculated by using the Universal Soil Loss Equation (USLE) which proposed by Wischmeier and Smith in 1978. The USLE method looked at several aspects such as erosivity, erodibility, long factor and slope, and crops management and conservation measures. In general, this research is carried out several stages, namely, preparation phase, data collection, field implementation and soil sampling, and data analysis. The results showed that in the study sites there were seventeen units of land maps (SPL) with a total area of 31,935.56 hectares. The highest actual erosion was found in SPL 7 of 2,699.92 tons ha-1 th-1 and the lowest actual erosion was found in SPL 14 of 0.82 tons ha-1 th-1. The highest potential erosion was found in SPL 1 of 5,774.84 ton ha-1 th-1 and the lowest potential erosion was found in SPL 16 of 48.53 ton ha-1 th-1. There are 5 classifications of erosion hazard level which is very light erosion (SR) on SPL 16, light erosion hazard (R) on SPL 17, moderate erosion level (S) on SPL 10, 14, and 15, (B) on SPL 4, 7, 11, 12, and 13, and very severe erosion (SB) on SPL 1, 2, 3, 5, 6, 8, and 9. 

scholarly journals Pendugaan tingkat bahaya erosi pada hutan dan lahan Kopi Arabika (Coffea arabica) di Kecamatan Sibolangit

2018 ◽  
Vol 5 (1) ◽  
pp. 30-35
Author(s):  
Devisna Situngkir ◽  
Jamilah ◽  
Posma Marbun
Keyword(s):  
Soil Loss ◽  
Prediction Equation ◽  
Universal Soil Loss Equation ◽  
Survey Method ◽  
Land Use Patterns ◽  
Factors Affecting ◽  
Erosion Hazard ◽  
Coffee Arabica ◽  
Hazard Level ◽  
Soil Loss Equation

Vegetation is one of the factors affecting the actual erosion of a land. The changes in forest land use patterns into coffee lands can increase the erosion hazard. The aim of this research was to get information about erosion hazard level in forest and coffee arabica lands in Sibolangit Sub District by using USLE (Universal Soil Loss Equation) method. The Research was conducted in January-July 2017 in Sibolangit District at three villages ie Negeri Suah, Bukum and Cinta Rakyat. In this research, were 6 samples in Arabica coffee field sample (1, 2 and 3) and in Forest sample (1, 2 and 3). The research was conducted by using survey method and continued with soil erosion calculation by USLE (Universal Soil Loss Equation) prediction equation. The results showed that the value of erosion in the coffee arabica land in Cinta Rakyat Village on the slope of 60% was 432,87 ton.ha-1.year-1 (very high). The highest erosion hazard level in Bukum Village on the slope of 25% was 88,144 ton.ha-1.year-1 and the highest erosion hazard level in the Negeri Suah Village on the slope of 46% was 193,083 ton.ha-1.year-1. The value of erosion in the area forest in the Cinta Rakyat Forest on the slope 58% was 1,087 ton.ha-1.year-1with lowest erosion hazard. The lowest erosion hazard level in the Bukum Forest on the slope of 21% was 0,190 ton.ha-1.year-1and the lowest erosion hazard level in the Negeri Suah Forest on the slope of 36 % was 0,309 ton.ha-1.year-1.

scholarly journals Pengukuran erosi pada pertanaman kentang dan jagung padabeberapa kemiringan di desa Guru SingaKabupaten Karo dengan metode USLE

2018 ◽  
Vol 5 (1) ◽  
pp. 36-39
Author(s):  
Ananda P Harahap ◽  
Hardy Guchi ◽  
Jamilah
Keyword(s):  
Soil Erosion ◽  
Soil Loss ◽  
Soil Analysis ◽  
Middle Level ◽  
Land Conservation ◽  
Universal Soil Loss Equation ◽  
Potato Field ◽  
Erosion Hazard ◽  
Soil Loss Equation ◽  
Selection Of

The type of plant and selection of conservation techniques greatly influence the extent of erosion. The aim of this study was to measure the value of the erosion in the field of potato and corn with the slopes by using USLE method (Universal Soil Loss Equation). This study had been implemented in the fields of potato and corn with a slope 0-3, 3-8%,8-15%, 15-25% and 25-45% in Guru Singa village, Berastagi sub-district, Karo district started on April until October 2016. Soil analysis was carried out in Research Laboratories and Technological Faculty of Agriculture, Universitas Sumatera Utara. The result showed that the amount of erosion occurred in the potato field. The field planted by contour direction in slope 0 – 3 % was 4,55 ton ha-1 yr-1 with the low level of erosion hazard. The highest level of erosion hazard in slope 8 – 15 % was 112,57ton ha-1 yr-1. The highest level of erosion hazard in slope 15 – 25 % was 160,97ton ha-1 yr-1. Based on data from the cornfield planted by cutting on contour, the amount of erosion in slope 3 – 8 % was 15,61ton ha-1 yr-1with the middle level of erosion hazard. The highest level of erosion hazard in slope 25 – 45% was 106,08ton ha-1 yr-1. It is required to do the changing of land conservation in order to minimize the risk of erosion or at least equal to the soil erosion tolerated.

scholarly journals Estimation of annual soil erosion dynamics (2005 - 2015) in Pakistan using Revised Universal Soil Loss Equation (RUSLE)

2021 ◽  
Author(s):  
Hammad Gilani ◽  
Adeel Ahmad ◽  
Isma Younes ◽  
Sawaid Abbas
Keyword(s):  
Soil Erosion ◽  
Soil Loss ◽  
Management Practices ◽  
Climatic Factors ◽  
Universal Soil Loss Equation ◽  
Rainfall Erosivity ◽  
Slope Length ◽  
Conservation Practice ◽  
Administrative Units ◽  
Soil Loss Equation

Abrupt changes in climatic factors, exploitation of natural resources, and land degradation contribute to soil erosion. This study provides the first comprehensive analysis of annual soil erosion dynamics in Pakistan for 2005 and 2015 using publically available climatic, topographic, soil type, and land cover geospatial datasets at 1 km spatial resolution. A well-accepted and widely applied Revised Universal Soil Loss Equation (RUSLE) was implemented for the annual soil erosion estimations and mapping by incorporating six factors; rainfall erosivity (R), soil erodibility (K), slope-length (L), slope-steepness (S), cover management (C) and conservation practice (P). We used a cross tabular or change matrix method to assess the annual soil erosion (ton/ha/year) changes (2005-2015) in terms of areas and spatial distriburtions in four soil erosion classes; i.e. Low (<1), Medium (1–5], High (5-20], and Very high (>20). Major findings of this paper indicated that, at the national scale, an estimated annual soil erosion of 1.79 ± 11.52 ton/ha/year (mean ± standard deviation) was observed in 2005, which increased to 2.47 ±18.14 ton/ha/year in 2015. Among seven administrative units of Pakistan, in Azad Jammu & Kashmir, the average soil erosion doubled from 14.44 ± 35.70 ton/ha/year in 2005 to 28.03 ± 68.24 ton/ha/year in 2015. Spatially explicit and temporal annual analysis of soil erosion provided in this study is essential for various purposes, including the soil conservation and management practices, environmental impact assessment studies, among others.

scholarly journals Modeling Soil Erosion and Landscape Metric Analysis of River Catchments in Pulau Pinang, Malaysia

2020 ◽  
Vol 55 (3) ◽  
Author(s):  
Sumayyah Aimi Mohd Najib
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Soil Loss ◽  
Diversity Index ◽  
Land Use Changes ◽  
Shannon Diversity Index ◽  
Universal Soil Loss Equation ◽  
Data Sampling ◽  
Shannon Diversity ◽  
Soil Loss Equation

To determine the soil erosion in ungauged catchments, the author used 2 methods: Universal Soil Loss Equation model and sampling data. Sampling data were used to verify and validate data from model. Changing land use due to human activities will affect soil erosion. Land use has changed significantly during the last century in Pulau Pinang. The main rapid changes are related to agriculture, settlement, and urbanization. Because soil erosion depends on surface runoff, which is regulated by the structure of land use and brought about through changes in slope length, land-use changes are one of many factors influencing land degradation caused by erosion. The Universal Soil Loss Equation was used to estimate past soil erosion based on land uses from 1974 to 2012. Results indicated a significant increase in three land-use categories: forestry, built-up areas, and agriculture. Another method to evaluate land use changes in this study was by using landscape metrics analysis. The mean patch size of built-up area and forest increased, while agriculture land use decreased from 48.82 patches in 1974 to 22.46 patches in 2012. Soil erosion increased from an estimated 110.18 ton/km2/year in 1974 to an estimated 122.44 ton/km2/year in 2012. Soil erosion is highly related (R2 = 0.97) to the Shannon Diversity Index, which describes the diversity in land-use composition in river basins. The Shannon Diversity Index also increased between 1974 and 2012. The findings from this study can be used for future reference and for ungauged catchment research studies.

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.

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