scholarly journals Predicting Soil Erosion in the Santa Rosa Creek Watershed Using RUSLE2 and Geographic Information Systems

2011 ◽  
Author(s):  
Stacey Carol Smith
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Soil Erosion ◽  
Geographic Information ◽  
Creek Watershed

scholarly journals Arahan Konservasi DAS Meureudu Menggunakan Sistem Informasi Geografis (SIG)

2017 ◽  
Vol 2 (2) ◽  
pp. 423-429
Author(s):  
Ummi Kalsum ◽  
Yuswar Yunus ◽  
T Ferijal
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Soil Erosion ◽  
Soil Degradation ◽  
Drainage Basin ◽  
Average Rate ◽  
Geographic Information ◽  
Conservation Practices ◽  
Proper Management

Abstrak.  Erosi dapat memicu degradasi lahan. Potensi erosi akan meningkat dengan semakin berkurangnya tutupan lahan dan minimnya tindakan konservasi. SIG diterapkan dalam berbagai ilmu antaranya yaitu dalam bidang bidang sumberdaya alam (inventarisasi manajemen dan kesesuaian lahan untuk pertanian). Rumusan masalahnya adalah sebagai berikut, Apakah kelas erosi yang terjadi di DAS Meureudu berada dalam kategori sedang ? Bagaimana penerapan upaya konservasi vegetatif dan mekanik ? Apakah terdapat korelasi antara besarnya erosi dengan upaya konservasinya ?. Kelas erosi yang terjadi di DAS Meureudu berada dalam kategori sedang. Upaya konservasi vegetatif dan mekanik di DAS Meureudu dapat diterapkan. Terdapat korelasi antara besarnya erosi yang terjadi di DAS Meureudu dengan upaya konservasinya. Jumlah erosi total yang terdapat di DAS Meureudu sebesar 109,52 ton/ha/thn, termasuk kedalam kelas laju erosi yang sedang. konservasi yang disarankan dapat mengurangi laju erosi yang terdapat di DAS Meureudu menjadi 24,62 ton/ha/thn. Penerapan konservasi dengan jenis tanaman dan pengelolaan yang tepat dapat mengurangi kelas laju erosi sedang menjadi ringan.Kata kunci : Erosi, SIG, KonservasiAbstract. Erosion triggers soil degradation and its rate will increase due to a decline topsoil quality with no real conservation. By using GIS (Geographic Information Systems) to examine the soil erosion and the conservation practices on the Drainage Basin (DAS) Meureudu.The formulation of the problem is as follows, Do class erosion in the watershed Meureudu in a category is? How the application of vegetative and mechanical conservation efforts? Whether there is a correlation between the magnitude of erosion by conservation efforts?. Class erosion in the watershed Meureudu are in the medium category. Vegetative and mechanical conservation efforts in the watershed Meureudu can be applied. There is a correlation between the magnitude of the erosion in the watershed Meureudu with conservation aims. it was found that the total erosion in that area was 109,52 ton/ha/year (categorized as average rate of soil erosion). Concerning this result, the conservation practices needed was 24,62 ton/ha/year. Applying appropriate conservation such as using proper management and plants will decrease the rate of soil erosion.Keywords: Erosion, GIS, ConservationAbstract. Erosion triggers soil degradation and its rate will increase due to a decline topsoil quality with no real conservation. By using GIS (Geographic Information Systems) to examine the soil erosion and the conservation practices on the Drainage Basin (DAS) Meureudu.The formulation of the problem is as follows, Do class erosion in the watershed Meureudu in a category is? How the application of vegetative and mechanical conservation efforts? Whether there is a correlation between the magnitude of erosion by conservation efforts?. Class erosion in the watershed Meureudu are in the medium category. Vegetative and mechanical conservation efforts in the watershed Meureudu can be applied. There is a correlation between the magnitude of the erosion in the watershed Meureudu with conservation aims. it was found that the total erosion in that area was 109,52 ton/ha/year (categorized as average rate of soil erosion). Concerning this result, the conservation practices needed was 24,62 ton/ha/year. Applying appropriate conservation such as using proper management and plants will decrease the rate of soil erosion

Catchment-wide estimate of single storm interrill soil erosion using an aggregate instability index: a model based on geographic information systems

2012 ◽  
Vol 62 (3) ◽  
pp. 863-875 ◽  
Author(s):  
Christina Tsimi ◽  
Athanassios Ganas ◽  
Dimitrios Dimoyiannis ◽  
Spyros Valmis ◽  
Efthimios Lekkas
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Soil Erosion ◽  
Geographic Information ◽  
Instability Index ◽  
Model Based

scholarly journals Comparison of different approaches to LS factor calculations based on a measured soil loss under simulated rainfall.

2017 ◽  
Vol 12 (No. 2) ◽  
pp. 69-77 ◽  
Author(s):  
M. Hrabalíková ◽  
M. Janeček
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Soil Erosion ◽  
Soil Loss ◽  
Geographic Information ◽  
Experimental Plot ◽  
Simulated Rainfall ◽  
Slope Length ◽  
Digital Elevation ◽  
Elevation Model

Geographic Information Systems (GIS) in combination with soil loss models can enhance evaluation of soil erosion estimation. SAGA and ARC/INFO geographic information systems were used to estimate the topographic (LS) factor of the Universal Soil Loss Equation (USLE) that in turn was used to calculate the soil erosion on a long-term experimental plot near Prague in the Czech Republic. To determine the influence of a chosen algorithm on the soil erosion estimates a digital elevation model with high accuracy (1 × 1 m) and a measured soil loss under simulated rainfall were used. These then provided input for five GIS-based and two manual procedures of computing the combined slope length and steepness factor in the (R)USLE. The results of GIS-based (R)USLE erosion estimates from the seven procedures were compared to the measured soil loss from the 11 m long experimental plot and from 38 rainfall simulations performed here during 15 years. The results indicate that the GIS-based (R)USLE soil loss estimates from five different approaches to calculation of LS factor are lower than the measured average annual soil loss. The two remaining approaches over-predicted the measured soil loss. The best method for LS factor estimation on field scale is the original manual method of the USLE, which predicted the average soil loss with 6% difference from the measured soil loss. The second method is the GIS-based method that concluded a difference of 8%. The results of this study show the need for further work in the area of soil erosion estimation (with particular focus on the rill/interrill ratio) using the GIS and USLE. The study also revealed the need for an application of the same approach to catchment area as it might bring different outcomes.

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