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
2017 ◽  
Vol 2 (2) ◽  
pp. 423-429
Author(s):  
Ummi Kalsum ◽  
Yuswar Yunus ◽  
T Ferijal

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


Author(s):  
Rita Ferreira Anastácio ◽  
Ana Filipa Martins ◽  
Luiz Oosterbeek

This article presents the results of the construction of an Archaeological Predictive Spatial Model based on the analysis of a set of variables. The main objective of this study is to identify areas of archaeological potential for archaeological exploration, for the Médio Tejo Region. This areas are more likely to occur in new sites, through the application of predictive spatial models, starting from a base of geographic data from archaeological sites compiled and updated in their various chronologies, and modeled through Geographic Information Systems, within the framework of the MTAS research project, supported by FCT. Thus, through an essentially statistical, descriptive and univariate methodology and using two methods - the method of binary addition and the method of weights - the areas with potential for prospecting new archaeological sites were obtained for the Médio Tejo Region.


2017 ◽  
Vol 12 (No. 2) ◽  
pp. 69-77 ◽  
Author(s):  
M. Hrabalíková ◽  
M. Janeček

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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