scholarly journals Prediction of erosion using the USLE method in the Malino Sub Watershed

2021 ◽  
Vol 886 (1) ◽  
pp. 012104
Author(s):  
Usman Arsyad ◽  
Andang Suryana Soma ◽  
Wahyuni ◽  
Fahira Nurul Amalia ◽  
Putri Fatimah Nurdin
Keyword(s):  
Land Cover ◽  
Population Growth ◽  
Soil Quality ◽  
Rainy Season ◽  
Soil Loss ◽  
Agricultural Land ◽  
Forest Land ◽  
Erosion Hazard ◽  
Open Land ◽  
Soil Loss Equation

Abstract One of the problems that occur in the Sub DAS Malino is population growth. The increase in population in an area will increase demand to encourage the community to convert forest land into non-forest land, especially agricultural land. It has an impact on erosion and flooding during the rainy season. The amount of erosion that occurs can result in damage and a decrease in soil quality; therefore, it is necessary to predict erosion using the Universal Soil Loss Equation (USLE) method. This study aims to determine the level of erosion hazard in the Malino sub-watershed, Jeneberang watershed. The data used in this study include data on land cover, rainfall, soil, and slope. The results showed that Sub DAS Malino has high erosion on the open land cover with 800.02 ton/ha/year of 0.44% area of the Sub DAS Malino.

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 Ownership Data from Consolidated Land Threatened by Water Erosion in the Vlára Basin, Slovakia

2020 ◽  
Vol 13 (1) ◽  
pp. 51
Author(s):  
Alexandra Pagáč Mokrá ◽  
Jakub Pagáč ◽  
Zlatica Muchová ◽  
František Petrovič
Keyword(s):  
Soil Erosion ◽  
Soil Loss ◽  
Agricultural Land ◽  
Water Erosion ◽  
Land Consolidation ◽  
Land Fragmentation ◽  
Erosion Risk ◽  
Definition Of ◽  
The Relationship ◽  
Soil Loss Equation

Water erosion is a phenomenon that significantly damages agricultural land. The current land fragmentation in Slovakia and the complete ambiguity of who owns it leads to a lack of responsibility to care for the land in its current condition, which could affect its sustainability in the future. The reason so much soil has eroded is obvious when looking at current land management, with large fields, a lack of windbreaks between them, and no barriers to prevent soil runoff. Land consolidation might be the solution. This paper seeks to evaluate redistributed land and, based on modeling by the Universal Soil Loss Equation (USLE) method, to assess the degree of soil erosion risk. Ownership data provided information on how many owners and what amount of area to consider, while taking into account new conditions regarding water erosion. The results indicate that 2488 plots of 1607 owners which represent 12% of the model area are still endangered by water erosion, even after the completion of the land consolidation project. The results also presented a way of evaluating the territory and aims to trigger a discussion regarding an unambiguous definition of responsibility in the relationship between owner and user.

scholarly journals Dynamics of forage and land cover changes in Teltele district of Borana rangelands, southern Ethiopia: using geospatial and field survey data

BMC Ecology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yeneayehu Fenetahun ◽  
Wang Yong-dong ◽  
Yuan You ◽  
Xu Xinwen
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Biomass Production ◽  
Agricultural Land ◽  
Southern Ethiopia ◽  
Forest Land ◽  
Lulc Change ◽  
Grass Land ◽  
Land Use Types ◽  
Bare Land

Abstract Background The gradual conversion of rangelands into other land use types is one of the main challenges affecting the sustainable management of rangelands in Teltele. This study aimed to examine the changes, drivers, trends in land use and land cover (LULC), to determine the link between the Normalized Difference Vegetation Index (NDVI) and forage biomass and the associated impacts of forage biomass production dynamics on the Teltele rangelands in Southern Ethiopia. A Combination of remote sensing data, field interviews, discussion and observations data were used to examine the dynamics of LULC between 1992 and 2019 and forage biomass production. Results The result indicate that there is a marked increase in farm land (35.3%), bare land (13.8%) and shrub land (4.8%), while the reduction found in grass land (54.5%), wet land (69.3%) and forest land (10.5%). The larger change in land observed in both grassland and wetland part was observed during the period from 1995–2000 and 2015–2019, this is due to climate change impact (El-Niño) happened in Teltele rangeland during the year 1999 and 2016 respectively. The quantity of forage in different land use/cover types, grass land had the highest average amount of forage biomass of 2092.3 kg/ha, followed by wetland with 1231 kg/ha, forest land with 1191.3 kg/ha, shrub land with 180 kg/ha, agricultural land with 139.5 kg/ha and bare land with 58.1 kg/ha. Conclusions The significant linkage observed between NDVI and LULC change types (when a high NDVI value, the LULC changes also shows positive value or an increasing trend). In addition, NDVI value directly related to the greenness status of vegetation occurred on each LULC change types and its value directly linkage forage biomass production pattern with grassland land use types. 64.8% (grass land), 43.3% (agricultural land), 75.1% (forest land), 50.6% (shrub land), 80.5% (bare land) and 75.5% (wet land) more or higher dry biomass production in the wet season compared to the dry season.

scholarly journals Estimating Human Impacts on Soil Erosion Considering Different Hillslope Inclinations and Land Uses in the Coastal Region of Syria

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2786 ◽  
Author(s):  
Safwan Mohammed ◽  
Hazem G. Abdo ◽  
Szilard Szabo ◽  
Quoc Bao Pham ◽  
Imre J. Holb ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Land Cover ◽  
Soil Loss ◽  
Agricultural Land ◽  
Human Impacts ◽  
Coastal Region ◽  
Water Erosion ◽  
Land Uses ◽  
Erosion Processes

Soils in the coastal region of Syria (CRoS) are one of the most fragile components of natural ecosystems. However, they are adversely affected by water erosion processes after extreme land cover modifications such as wildfires or intensive agricultural activities. The main goal of this research was to clarify the dynamic interaction between erosion processes and different ecosystem components (inclination, land cover/land use, and rainy storms) along with the vulnerable territory of the CRoS. Experiments were carried out in five different locations using a total of 15 erosion plots. Soil loss and runoff were quantified in each experimental plot, considering different inclinations and land uses (agricultural land (AG), burnt forest (BF), forest/control plot (F)). Observed runoff and soil loss varied greatly according to both inclination and land cover after 750 mm of rainfall (26 events). In the cultivated areas, the average soil water erosion ranged between 0.14 ± 0.07 and 0.74 ± 0.33 kg/m2; in the BF plots, mean soil erosion ranged between 0.03 ± 0.01 and 0.24 ± 0.10 kg/m2. The lowest amount of erosion was recorded in the F plots where the erosion ranged between 0.1 ± 0.001 and 0.07 ± 0.03 kg/m2. Interestingly, the General Linear Model revealed that all factors (i.e., inclination, rainfall and land use) had a significant (p < 0.001) effect on the soil loss. We concluded that human activities greatly influenced soil erosion rates, being higher in the AG lands, followed by BF and F. Therefore, the current study could be very useful to policymakers and planners for proposing immediate conservation or restoration plans in a less studied area which has been shown to be vulnerable to soil erosion processes.

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 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 Local Government Forestry Expenditure and Forest Land Cover: A Preliminary Lesson from Decentralized Indonesia

2017 ◽  
Vol 62 (3) ◽  
pp. 127
Author(s):  
Firda Hidayati ◽  
Yogi Vidyattama ◽  
Cameron Gordon
Keyword(s):  
Population Density ◽  
Land Cover ◽  
Population Growth ◽  
Environmental Conditions ◽  
Forest Cover ◽  
Negative Association ◽  
Forest Land ◽  
Negative Change ◽  
Wood Extraction ◽  
Forest Land Cover

Even though government of Indonesia invests billions of rupiah to tackle deforestation, its effectiveness has been questionable. This study analyses changes in rates of forest cover in Indonesia and their association with forestry expenditures (FE) spent by the provincial governments. Based on 2007 to 2010 data, linear multiple regression results indicate that FE is not enough to tackle the negative change in forest land cover that could represent deforestation. Moreover, it was found that FE have negative association with forest land cover and therefore, can be associated to deforestation. This negative association remains when other factors that affect forest land cover such as wood extraction, agriculture outcome, forestry outcome, population growth and population density and initial environmental conditions have been controlled.AbstrakWalaupun pemerintah Indonesia telah menginvestasikan trilyunan rupiah untuk mengurangi deforestasi, akan tetapi efektifitasnya dipertanyakan. Penelitian ini menganalisa tingkat perubahan luasan tutupan hutan di Indonesia and asosiasinya dengan Pengeluaran Sektor Kehutanan (PSK) yang dibelanjakan oleh pemerintah provinsi. Berdasar data tahun 2007 sampai 2010, hasil regresi multiple linier mengindikasikan bahwa PSK tidak cukup untuk mengurangi akibat negatif dalam perubahan hutan dan lahan yang dapat mngakibatkan deforestasi. Lebih lanjut, ditemukan bahwa PSK berhubungan erat pengurangan luasan hutan, yang dapat dikaitkan dengan deforestasi. Asososiasi yang negatif ini tetap terjadi walaupun faktor lain yang memengaruhi tutupan hutan seperti penebangan kayu, hasil pertanian, hasil kehutanan, pertumbuhan populasi dan kepadatan populasi dan kondisi awal lingkungan telah dikontrol.Kata kunci: Deforestasi, Hutan Tropis; Populasi Penduduk; Tutupan Hutan; Pengeluaran untuk Reboisasi HutanJEL classifications: E62; Q58; H76

scholarly journals KAJIAN KONDISI BIOFOSIK LAHAN DAERAH ALIRAN SUNGAI DI SUBDAS CIUJUNG HULU, PROVINSI BANTEN

2021 ◽  
Vol 9 (1) ◽  
pp. 119
Author(s):  
Egidius Naitkakin ◽  
Latief Mahir Rachman ◽  
Yayat Hidayat
Keyword(s):  
Land Cover ◽  
Carrying Capacity ◽  
Vegetation Cover ◽  
Hazard Index ◽  
Buffer Zone ◽  
Forest Land ◽  
Degraded Land ◽  
Erosion Hazard ◽  
Erosion Index ◽  
Very High

The upstream of a watershed is a buffer zone and it protects the whole watershed. The degradation of a watershed is caused by uncotrolled uses of the land and exploitation of the nature resources such as forest, land, and water. It causes the changes in the carrying capacity of the watershed, especially in biophysical aspects. This research aims to study the watershed biophysical condition in Ciujung Hulu Watershed, Banten Province. Biophysical condition analyzed using Forestry Minister Regulation P.61/Menhut-II/2014 for degraded land class, land cover percentage, and Erosion Hazard Index. The condition of the land, such as degraded land, vegetation cover, and erosion index, analyzed using modification of Forestry Minister Regulation Perdirjen BPDAS PS Nomor P.4/V-SET/2013. The result of the study showed that the percentage of degraded land, vegetation cover percentage, and erosion index were 25,85% (severe degraded land), 9,77% (very low covered), and 30,89 (Very high).

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.

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