Inherent relationship of the USLE, RUSLE topographic factor algorithms and its impact on soil erosion modelling

Efthimiou, Nikolaos; Lykoudi, E.; Psomiadis, Emmanouil

doi:10.1080/02626667.2020.1784423

Cited by 17 publications

(11 citation statements)

References 39 publications

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“…LS in RUSLE equation is generally the combination of L and S, representing the effect of the topography on erosion rates [38]. The RUSLE model has been used worldwide and adapted according to the climatic, topographic and soil context [9,10,39,40]. It is still used widely to estimate soil erosion all over the world [41] and can be used to estimate soil erosion for large areas, up to country level [42].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Soil Water Erosion in Tunisia Using Geospatial Data and Integrated Approach of RUSLE and GIS

Serbaji¹,

Bouaziz²,

Weslati³

2023

Preprint

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Soil erosion is one of the most important environmental problems which can have various negative consequences, such as land degradation affecting the sustainable development and the agricultural production, especially for developing countries like Tunisia. Moreover, soil erosion is a major problem around the world because of its effects on soil fertility by nutriment loss and siltation in water bodies. Apart from this, soil erosion by water is the most serious type of land loss in several regions both locally and globally. This study evaluated regional soil erosion risk through the derivation of appropriate factors, using the Revised Universal Soil Loss Equation (RUSLE), which was applied to establish a soil erosion risk map of the whole Tunisian territory and to identify the vulnerable areas of the country. RUSLE model take into account all the factors playing a major role in erosion processes, namely the erodibility of soils, topography, land use, rainfall erosivity and anti-erosion farming practices. The equation is thus implemented under Geographic Information System (GIS) “Arc GIS Desktop”. The results indicated that Tunisia has a serious risk of soil water erosion, showing that 6.43% of the total area of the country is affected by a very high soil loss rate estimated at more than 30 t/ha/year and 4.20% are affected by high mean annual soil loss ranging from 20 to 30 t/ha/year. The most eroded areas were identified in west southern, central and western parts of the country. The spatial erosion map can be used as a decision support document to guide decision-makers towards better land management and provide the opportunity to develop management strategies for soil erosion prevention and control in the global scale of Tunisia.

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Section: Introductionmentioning

confidence: 99%

Modeling of Soil Water Erosion in Tunisia Using Geospatial Data and Integrated Approach of RUSLE and GIS

Serbaji¹,

Bouaziz²,

Weslati³

2023

Preprint

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“…Additionally, the L-factor was calculated using the proposed equation of by Desmet and Govers [94], as it was found reliable in areas with complex terrain [82]. The formula of this approach is given below:…”

Section: Methodology Outlinementioning

confidence: 99%

“…Increases in LS-factor values lead to higher flow velocity and, consequently, higher erosion rate. It can be estimated using as input dataset a digi-tal elevation model (DEM) and processing in a GIS environment, based on well-known mathematical formulas [82].…”

Section: Rusle Model Descriptionmentioning

confidence: 99%

Assessment of Water-Induced Soil Erosion as a Threat to Natura 2000 Protected Areas in Crete Island, Greece

2022

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Water erosion is a major threat to biodiversity, according to the European Commission’s Soil Thematic Strategy, as it negatively affects soil structure, soil fertility and water availability for plants. The island of Crete (Southern Greece) has been characterized as a biodiversity hotspot including several Natura 2000 (N2K)-protected areas. The aim of this study was to model the soil loss rate in Crete regarding species richness, habitat types and their conservation status, as well as the MAES (Mapping and Assessment of Ecosystem and their Services) ecosystem types. To this end, the RUSLE soil erosion prediction model was implemented, using freely available geospatial data and cloud-computing processes. The estimated average soil loss in the study area was 6.15 t ha−1 y−1, while there was no significant difference between the terrestrial N2K (6.06 t ha−1 y−1) and non-N2K (6.19 t ha−1 y−1) areas. Notably, the natural habitats of principal importance for the conservation of biodiversity (referred to as “priority” areas), according to Annex I to Directive 92/43/EEC, are threatened by soil erosion with an estimated mean annual soil loss equal to 8.58 t ha−1 y−1. It is also notable that grasslands, heathland and shrubs and sparsely vegetated areas experienced the highest erosion rates among the identified MAES ecosystem types. The results showed that soil erosion is a serious threat to biodiversity in N2K-protected areas. Therefore, there is a need for systematic spatiotemporal monitoring and the implementation of erosion mitigation measures.

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“…Faktor yang menyebabkan terjadinya erosi adalah geologi, geomorfologi, kondisi hidroklimat, dan aktivitas manusia (Mihi et al, 2020). Representasi akurat dari permukaan bumi mempunyai peran penting dalam pemodelan erosi tanah (Efthimiou et al, 2020). Fenomena alam yang dimodifikasi oleh lingkungan biofisik yang meliputi tanah, iklim, medan, penutup tanah dan interaksi mereka menentukan besarnya erosi tanah (Tesfaye et al, 2018).…”

Section: Pendahuluanunclassified

“…Erosi tanah ditentukan oleh faktor topografi (LS), diikuti oleh faktor pendukung praktek (P), faktor erodibilitas tanah (K), pengelolaan pertanaman (C), dan faktor erosivitas curah hujan (R) (Pham et al, 2018). Topografi diparameterisasi dalam persamaan Universal Soil Loss Equation (USLE) (Efthimiou et al, 2020). Perubahan penggunaan/tutupan lahan dan erosivitas limpasan curah hujan memiliki pengaruh yang signifikan terhadap erosi tanah (Fu et al, 2021).…”

Section: Pendahuluanunclassified

Estimasi Tingkat Bahaya Erosi dengan Menggunakan Metode USLE Pada Daerah Aliran Sungai (DAS) Amandit

et al. 2021

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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

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Inherent relationship of the USLE, RUSLE topographic factor algorithms and its impact on soil erosion modelling

Cited by 17 publications

References 39 publications

Modeling of Soil Water Erosion in Tunisia Using Geospatial Data and Integrated Approach of RUSLE and GIS

Modeling of Soil Water Erosion in Tunisia Using Geospatial Data and Integrated Approach of RUSLE and GIS

Assessment of Water-Induced Soil Erosion as a Threat to Natura 2000 Protected Areas in Crete Island, Greece

Estimasi Tingkat Bahaya Erosi dengan Menggunakan Metode USLE Pada Daerah Aliran Sungai (DAS) Amandit

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