scholarly journals Erosion and sedimentation analysis due to land use changes in the Krueng Pase watershed

2021 ◽  
Vol 922 (1) ◽  
pp. 012040
Author(s):  
Muntazar ◽  
Joni ◽  
I Ramli
Keyword(s):  
Land Use ◽  
Soil Loss ◽  
Negative Impact ◽  
Positive Impact ◽  
Land Use Changes ◽  
Appropriate Technology ◽  
Universal Soil Loss Equation ◽  
Erosion Hazard ◽  
Land Management System ◽  
Soil Loss Equation

Abstract Human interactions with watershed can have positive and negative impact. The positive impact can improve socio-economic conditions. However, the negative impact is the degradation of the watershed function. For example, it’s continued increase in erosion rate on the land. The purpose of this study is to analyze erosion and sedimentation due to land use changes using the Universal Soil Loss Equation (USLE) and Modified Universal Soil Loss Equation (MUSLE) methods. Data collecting to determine erosion and sedimentation values are rainfall, soil erodibility and soil moisture, land use, and river water samples. The biggest decreased land use changes occurred in forest by 5.87%, followed by agriculture which decreased by 0.65% and water body 0.047%. On the other hand, built-up area increased by 0.65% and land used for agriculture increased by 6.15%. Furthermore, the level of erosion hazard in the Krueng Pase watershed from 2009 to 2019 increased in area, the mild level of erosion hazard increased by 7.9% and the moderate level erosion hazard by 27.4%. The amount of sedimentation obtained using the MUSLE method in 2019 was 6,869,98 tons and in 2009 was 41,692,97 tons. Erosion valuein 2019 is relatively small compared to other years. It’s really depends on the rainfall and the discharge that occurs. Therefore, a good land management system, proper and appropriate technology used, eco-hydrology concept and the monitoring of land use change regularly are needed, so damage that impact the Krueng Pase watershed can be prevented and minimize.

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.

scholarly journals Soil erodibility indices under different land uses in Ri-Bhoi district of Meghalaya (India)

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Manish Olaniya ◽  
Pradip Kumar Bora ◽  
Susanta Das ◽  
Pukhrambam Helena Chanu
Keyword(s):  
Land Use ◽  
Organic Matter ◽  
Soil Erosion ◽  
Soil Loss ◽  
Universal Soil Loss Equation ◽  
Soil Erodibility ◽  
Land Uses ◽  
Modified Clay ◽  
K Index ◽  
Soil Loss Equation

Abstract In absence of soil erosion plots for determination of erodibility index (K) for erosion models like Universal Soil Loss Equation (USLE) or Revised Universal Soil Loss Equation (RUSLE) to estimate soil erosion, empirical relations are used. In the present study, soil erodibility index was determined for entire Ri-bhoi district of Meghalaya based on soil physical and chemical properties through empirical relationship and presented in a map form. Dominant land uses of the district were identified through geo-spatial tools which were viz. agriculture, forest, jhum land and wasteland. Soil samples from surface depth (01–15 cm) were collected from areas of different dominant land uses. Twenty five sampling points were selected under each land use type and geo-coded them on the base map of Ri-bhoi district. Apart from K-index, Clay Ratio, Modified Clay Ratio and Critical Soil Organic Matter were also determined for understanding the effect of primary soil particles on erodibility. In agriculture land use system K-index values were found in the range of 0.08–0.41 with an average of 0.25 ± 0.02. In case of jhum, forest and wasteland these were in the range of 0.08–0.42 with an average of 0.20 ± 0.01; 0.09–0.40 with an average of 0.22 ± 0.02, and 0.10–0.34 with an average value of 0.23 ± 0.02, respectively. Clay ratio (2.74) and Modified clay ratio (2.41) were observed to be higher in forest LUS, lower clay ratio (1.97) and modified clay ratio (1.81) were found in the wasteland indicating erosion susceptibility in forested area. The values of Critical Level of Organic Matter (CLOM) for the district ranged from 4.72 to 16.56. Out of 100 samples, only one sample had CLOM value less than 5 and rest 99 samples had values more than 5 indicating that the soils of the district had moderate to stable soil structure and offer resistance to erosion. All the indices values of geo-coded points were then interpolated in the Arc-GIS environment to produce land use based maps for Ri-bhoi district of Meghalaya. As K-index is a quantitative parameter which is used in models, the index can be then interpolated for estimation of soil erosion through USLE or RUSLE for any given situation.

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 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 Tingkat Bahaya Erosi Pada Perkebunan Kelapa Sawit di Kota Subulussalam

2020 ◽  
Vol 5 (2) ◽  
pp. 227-235
Author(s):  
Heriadi Dedek Sahputra ◽  
Manfarizah Manfarizah ◽  
Hairul Basri
Keyword(s):  
Soil Loss ◽  
Research Method ◽  
Soil Analysis ◽  
Universal Soil Loss Equation ◽  
Erosion Hazard ◽  
Severe Erosion ◽  
Conservation Actions ◽  
Descriptive Method ◽  
Th 1 ◽  
Soil Loss Equation

Abstrak. Penelitian ini bertujuan untuk mengetahui tingkat bahaya erosi pada perkebunan kelapa sawit di Kota Subulussalam. Metode penelitian menggunakan metode deskriftif yang didasarkan pada hasil pengamatan di lapangan dan analisis tanah di laboratorium. Erosi tanah dihitung dengan menggunakan persamaan Universal Soil Loss Equation (USLE) yang dikemukakan oleh Wischmeir dan Smith (1978). Metode USLE mengamati beberapa aspek seperti erosivitas, erodibilitas, faktor panjang dan kemiringan lereng, faktor pengelolaan tanaman dan tindakan konservasi. Penelitian ini terdiri dari beberapa tahap yaitu, persiapan, pengumpulan data, pelaksanaan lapangan, analisis laboratorium dan analisis data. Hasil penelitian menunjukkkan bahwa pada lokasi penelitian ini terdapat enam satuan peta lahan (SPL) dengan total luas 2437,83 Hektar. Erosi potensial tertinggi dijumpai pada SPL 2 yaitu sebesar 6762,10 ton ha-1 th-1 dan erosi potensial terendah dijumpai pada SPL 1 yaitu 172,01 ton ha-1 th-1. Erosi aktual tertinggi dijumpai pada SPL 2 yaitu sebesar 473,35 ton ha-1 th-1 dan erosi aktual terendah dijumpai pada SPL 5 yaitu 9,58 ton ha-1 th-1. Terdapat 3 klasifikasi tingkat bahaya erosi yaitu tingkat bahaya erosi ringan (R) pada SPL 1, SPL 5, dan SPL 6, tingkat bahaya erosi sedang (S) pada SPL 3, dan tingkat bahaya erosi berat (B) pada SPL 2 dan SPL 4.The Level of Erosion Hazard at Oil Palm Plantation in Subulussalam CityAbstrak.  This study aims to determine the level of erosion hazard in palm oil plantations in Subulussalam City. The research method uses a descriptive method based on field observations and soil analysis in the laboratory. Soil erosion is calculated by using the formula of Universal Soil Loss Equation (USLE) which is invented by Wischmeir and Smith (1978). The USLE method observes several aspects such as erosivity, erodibility, length and slope factors, crop management factors and conservation actions. This research consists of several stages, namely, preparation, data collection, field implementation, laboratory analysis and data analysis. The results of the study showed that at the location of this study there were six units of land maps (SST) with a total area of 2437.83 hectares. The highest potential erosion was found in SPL 2 which was 6762.10 tons ha-1 th-1 and the lowest potential erosion was found in SPL 1 which was 172.01 tons ha-1 th-1. The highest actual erosion was found in SPL 2 which was 473.35 tons ha-1 th-1 and the lowest actual erosion was found in SPL 5 which was 9.58 tons ha-1 th-1. There are 3 classifications of the level of erosion hazard namely the level of light erosion hazard (R) in SPL 1, SPL 5, and SPL 6, the level of moderate erosion hazard (S) in SPL 3, and the level of severe erosion hazard (B) in SPL 2 and SPL 4.

scholarly journals Land use evaluation using the universal soil loss equation in a small drainage basin in Sichuan Province, China

2001 ◽  
Vol 27 (4) ◽  
pp. 582-588
Author(s):  
Keiji Obayashi ◽  
Bo Zhu ◽  
Takehiko Ohta ◽  
Kazuhiko Takeuchi ◽  
Atsushi Tsunekawa
Keyword(s):  
Land Use ◽  
Soil Loss ◽  
Drainage Basin ◽  
Sichuan Province ◽  
Universal Soil Loss Equation ◽  
Soil Loss Equation
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