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 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 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 Analisis Tingkat Bahaya Erosi di Sub DAS Simaimai Kabupaten Deli Serdang.

2019 ◽  
Vol 11 (2) ◽  
pp. 193
Author(s):  
Fanjosafat Sitohang ◽  
Kamarlin Pinem
Keyword(s):  
Random Sampling ◽  
Soil Loss ◽  
Sampling Technique ◽  
Classification Criteria ◽  
Class Iii ◽  
Hazard Class ◽  
Erosion Hazard ◽  
Analysis Technique ◽  
Hazard Level ◽  
Soil Loss Equation

This study aims to determine, the erosion hazard that occurs and the level of erosion hazard that occurs in the Simaimai Sub-watershed in Deli Serdang Regency. This research was carried out in 2018 in the Simaimai sub-watershed. The population in this study was all land units in the Simaimai Sub-watershed with a sample of 8 land units taken using the Stratified Random Sampling technique. The data analysis technique used is descriptive qualitative, namely to describe the erosion hazard using the USLE (Universal Soil Loss Equation) method and the erosion hazard level by combining erosion hazard values with erosion hazard level classification criteria. The results showed that: (1) the erosion hazard in the Simaimai sub-watershed was divided into four classes. The most dominant erosion hazard class in Simaimai Sub-watershed is class III, which is in 4 land units. While the most extensive erosion hazard class is the class I erosion hazard found in two land units. The heaviest erosion hazard class (IV) is found in AnLKIV land units. While the smallest erosion hazard class is class II erosion hazard. (2) the level of erosion hazard in the Simaimai watershed includes erosion levels of very light (SR), mild (R), moderate (S), heavy (B) and very heavy (SB).

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. 

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