Log in

Relevant bibliographies by topics / USLE / Journal articles

To see the other types of publications on this topic, follow the link: USLE.

Journal articles on the topic 'USLE'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'USLE.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Keller, Boglárka, Csaba Centeri, Judit Alexandra Szabó, Zoltán Szalai, and Gergely Jakab. "Comparison of the Applicability of Different Soil Erosion Models to Predict Soil Erodibility Factor and Event Soil Losses on Loess Slopes in Hungary." Water 13, no. 24 (2021): 3517. http://dx.doi.org/10.3390/w13243517.

Full text

Abstract:

Climate change induces more extreme precipitation events, which increase the amount of soil loss. There are continuous requests from the decision-makers in the European Union to provide data on soil loss; the question is, which ones should we use? The paper presents the results of USLE (Universal Soil Loss Equation), RUSLE (Revised USLE), USLE-M (USLE-Modified) and EPIC (Erosion-Productivity Impact Calculator) modelling, based on rainfall simulations performed in the Koppány Valley, Hungary. Soil losses were measured during low-, moderate- and high-intensity rainfalls on cultivated soils forme

APA, Harvard, Vancouver, ISO, and other styles

2

Todisco, Francesca, Lorenzo Vergni, Sofia Ortenzi, and Lucio Di Matteo. "Soil Loss Estimation Coupling a Modified USLE Model with a Runoff Correction Factor Based on Rainfall and Satellite Soil Moisture Data." Water 14, no. 13 (2022): 2081. http://dx.doi.org/10.3390/w14132081.

Full text

Abstract:

Satellite observations (Copernicus Sentinell-1) can supply antecedent soil moisture data, which helps to predict thresholds triggering runoff and runoff volume. In the paper, we developed a runoff correction factor to the USLE, using rainfall and satellite antecedent soil moisture data, following the approach of the modified USLE models such as the USLE-M and USLE-MM. The runoff and soil loss estimations accuracy are validated by plot-scale measurements (2008–2020 period) provided by SERLAB (Soil Erosion Laboratory) of the University of Perugia. The results show that the event rainfall depth a

APA, Harvard, Vancouver, ISO, and other styles

3

Kinnell, P. I. A. "Event erosivity factor and errors in erosion predictions by some empirical models." Soil Research 41, no. 5 (2003): 991. http://dx.doi.org/10.1071/sr02123.

Full text

Abstract:

Analyses undertaken in this paper show that the Universal Soil Loss Equation (USLE) tends to overestimate low values of soil loss when the soil surface has a high capacity to infiltrate rainfall, but the degree of overestimation falls as the capacity of the soil to produce runoff increases. The USLE-M, a version of the USLE that uses the product of the runoff ratio and the EI30 as the event erosivity index, is more efficient in estimating soil loss because runoff is considered explicitly in the event erosivity index, whereas it is not in the USLE. The results show clearly that the problem of t

APA, Harvard, Vancouver, ISO, and other styles

4

Karunianto Dhalame, Sammy Caesar, Ussy Andawayanti, and Rahmah Dara Lufira. "Analisa Laju Erosi dan Sedimentasi Pada Sub DAS Tanggul Menggunakan Metode USLE dan MUSLE." Jurnal Teknologi dan Rekayasa Sumber Daya Air 5, no. 1 (2025): 699–711. https://doi.org/10.21776/ub.jtresda.2025.005.01.065.

Full text

Abstract:

Pengelolaan DAS adalah kegiatan yang dilakukan untuk menjaga, mengatur dan memanfaatkan sumber daya alam di wilayah DAS agar dapat berkelanjutan. Pengelolaan DAS yang salah mendorong terjadinya erosi. Penelitian ini bertujuan untuk menganalisis perbandingan laju erosi dan sedimentasi pada Sub DAS Tanggul dengan menggunakan metode USLE dan MUSLE. Metode USLE mengestimasi erosi berdasarkan erosivitas hujan, sedangkan metode MUSLE menggunakan erosivitas limpasan. Hasil penelitian menunjukkan bahwa laju erosi pada Sub DAS Tanggul adalah 889.310,583 ton/ha/tahun dengan metode USLE dan 816.092,088 t

APA, Harvard, Vancouver, ISO, and other styles

5

Freebairn, DM, DM Silburn, and RJ Loch. "Evaluation of three soil erosion models for clay soils." Soil Research 27, no. 1 (1989): 199. http://dx.doi.org/10.1071/sr9890199.

Full text

Abstract:

The Universal Soil Loss Equation (USLE) and two modified USLE models were assessed for their ability to predict soil erosion on contour bay catchments on the Darling Downs, Queensland. The models were applied using USLE handbook values as well as optimized values determined by fitting the models to the experimental data. All three models explained greater than 80% of the variance in measured soil loss with no single model being consistently superior to the others. Cover reduced erosion more than that predicted by the USLE.

APA, Harvard, Vancouver, ISO, and other styles

6

Oshunsanya, Suarau Odutola, and Nkem Joseph Nwosu. "Suitability of Universal Soil Loss Erodibility, Inter-rill and Rill Erodibility Models for Selected Tropical Soils." Agricultura Tropica et Subtropica 50, no. 4 (2017): 191–98. http://dx.doi.org/10.1515/ats-2017-0020.

Full text

Abstract:

AbstractThe universal soil loss equation (USLE) and water erosion prediction project (WEPP) (inter-rill and rill) erodibility factors are important indicators for land degradation assessment all over the world, which were primarily developed for the United States of America (USA). However, information on suitability of USLE and WEPP for tropical environment is scarce. Therefore, studies were carried out to investigate the suitability of USLE and WEPP for selected tropical soils of Southwestern Nigeria. Four pedons classified based on USDA soil taxonomy as Plinthic Petraquept (Adio series), Kan

APA, Harvard, Vancouver, ISO, and other styles

7

Schürz, Christoph, Bano Mehdi, Jens Kiesel, Karsten Schulz, and Mathew Herrnegger. "A systematic assessment of uncertainties in large-scale soil loss estimation from different representations of USLE input factors – a case study for Kenya and Uganda." Hydrology and Earth System Sciences 24, no. 9 (2020): 4463–89. http://dx.doi.org/10.5194/hess-24-4463-2020.

Full text

Abstract:

Abstract. The Universal Soil Loss Equation (USLE) is the most commonly used model to assess soil erosion by water. The model equation quantifies long-term average annual soil loss as a product of the rainfall erosivity R, soil erodibility K, slope length and steepness LS, soil cover C, and support measures P. A large variety of methods exist to derive these model inputs from readily available data. However, the estimated values of a respective model input can strongly differ when employing different methods and can eventually introduce large uncertainties in the estimated soil loss. The potent

APA, Harvard, Vancouver, ISO, and other styles

8

Fiener, Peter, Tomáš Dostál, Josef Krása, Elmar Schmaltz, Peter Strauss, and Florian Wilken. "Operational USLE-Based Modelling of Soil Erosion in Czech Republic, Austria, and Bavaria—Differences in Model Adaptation, Parametrization, and Data Availability." Applied Sciences 10, no. 10 (2020): 3647. http://dx.doi.org/10.3390/app10103647.

Full text

Abstract:

In the European Union, soil erosion is identified as one of the main environmental threats, addressed with a variety of rules and regulations for soil and water conservation. The by far most often officially used tool to determine soil erosion is the Universal Soil Loss Equation (USLE) and its regional adaptions. The aim of this study is to use three different regional USLE-based approaches in three different test catchments in the Czech Republic, Germany, and Austria to determine differences in model results and compare these with the revised USLE-base European soil erosion map. The different

APA, Harvard, Vancouver, ISO, and other styles

9

László, Péter, and Kálmán Rajkai. "A talajerózió modellezése." Agrokémia és Talajtan 52, no. 3-4 (2003): 427–42. http://dx.doi.org/10.1556/agrokem.52.2003.3-4.13.

Full text

Abstract:

A talajerózió becslésére világszerte leginkább elterjedt egyetemes talajvesztési egyenletről (USLE) több irodalmi forrás is megállapítja, hogy az USA-n kívüli területeken csak érvényesítés után használható sikeresen. Az USLE az erózió összetett folyamatát egyszerű képletben összegzi, amelyben a szorzótényezők függetlenek és az erózió éves összegként jelenik meg. Az USLE módosítására és helyettesítésére több kísérlet történt. A fejlesztések során a vízgyűjtők területén lezajló egyszeri csapadékeseményre bekövetkező felszíni lefolyás és talajlehordás térbeli és időbeli előrejelzésére tettek kísé

APA, Harvard, Vancouver, ISO, and other styles

10

SOUZA, Alessandra Ribeiro de, Francisco Antonio DUPAS, Isabela Neves DRUMMOND, and Carlos Wilmer COSTA. "ZONEAMENTOS DA VULNERABILIDADE AMBIENTAL E EXPECTATIVA DE PERDA DE SOLO: É POSSÍVEL USAR A USLE NA DETERMINAÇÃO DE VULNERABILIDADE AMBIENTAL?" Geosciences = Geociências 38, no. 4 (2020): 1105–19. http://dx.doi.org/10.5016/geociencias.v38i4.14083.

Full text

Abstract:

Para garantir a sustentabilidade das práticas de uso do solo, os métodos de zoneamento da vulnerabilidade ambiental (ZVA) são essenciais na ocupação de áreas em bacias hidrográficas. Nesse sentido, utilizando como área de estudo a bacia hidrográfica do Ribeirão do Feijão (BHRF), São Carlos-SP (Brasil), os ZVA obtidos pelo método da Análise Empírica da Fragilidade dos Ambientes Naturais e Antropizados (AEFANA), apoiado em índices de dissecação do relevo e classes de declividades, foram comparados com a expectativa de perda de solo (EPS) resultante da Equação Universal de Perda de Solo (USLE). E

APA, Harvard, Vancouver, ISO, and other styles

11

JONG, E. DE, C. WANG, and H. W. REES. "SOIL REDISTRIBUTION ON THREE CULTIVATED NEW BRUNSWICK HILLSLOPES CALCULATED FROM 137Cs MEASUREMENTS, SOLUM DATA AND THE USLE." Canadian Journal of Soil Science 66, no. 4 (1986): 721–30. http://dx.doi.org/10.4141/cjss86-071.

Full text

Abstract:

137Cs, solum data and the USLE were used to estimate soil erosion on three medium-textured soils in New Brunswick that had been in nearly continuous potato monoculture over the past 15 yr. Sampling transects were located on slopes ranging from 425 to 1040 m long, and from 4.8 to 6.0% slope. Ten equally spaced sites were sampled on each transect. The 137Cs data were used to divide the sampling sites into four groups: deposition, little erosion or deposition, moderately eroded and severely eroded areas. The four groups generally agreed well with soil profile properties. Solum, A horizon thicknes

APA, Harvard, Vancouver, ISO, and other styles

12

Sari, Dian Mardiati, and Desi Ade Trya. "Tinjauan Literatur Perhitungan Laju Erosi Untuk Mengukur Nilai Ekonomi Ekologi Menggunakan Metode Usle." Jurnal Ilmiah Raflesia Akuntansi 11, no. 1 (2025): 149–52. https://doi.org/10.53494/jira.v11i1.839.

Full text

Abstract:

Metode USLE (Universal Soil Loss Equation) adalah pendekatan yang sering digunakan untuk menghitung laju erosi tanah. Dalam konteks pengukuran nilai ekonomi ekologi, metode ini membantu mengidentifikasi dampak erosi terhadap produktivitas lahan dan ekosistem. Beberapa penelitian telah menunjukkan bahwa erosi tanah dapat menyebabkan hilangnya unsur hara penting, yang pada akhirnya memengaruhi nilai ekonomi lahan. Penerapan metode USLE memberikan banyak manfaat, terutama dalam konteks pengelolaan sumber daya alam dan konservasi tanah. Metode USLE menjadi alat yang penting bagi para ahli lingkung

APA, Harvard, Vancouver, ISO, and other styles

13

Manaouch, Mohamed, Anis Zouagui, and Imad Fenjiro. "A review of soil erosion modeling by R/USLE in Morocco: Achievements and limits." E3S Web of Conferences 234 (2021): 00067. http://dx.doi.org/10.1051/e3sconf/202123400067.

Full text

Abstract:

Soil erosion is a major cause of land degradation. It can be estimated with several models, such as empirical, conceptual and physical based. One of the empirical models used worldwide nowadays for soil erosion assessment is the Universal Soil Loss Equation (USLE) and its updated form, the Revised Universal Soil Loss Equation (RUSLE). In Morocco, this model is being used to assess and quantify soil loss by water erosion. In spite of this, it was noted that limited studies employed correctly this important tool. The goal of this review paper was to identify potential usage of R/USLE models in M

APA, Harvard, Vancouver, ISO, and other styles

14

Hrabalíková, M., and M. Janeček. "Comparison of different approaches to LS factor calculations based on a measured soil loss under simulated rainfall." Soil and Water Research 12, No. 2 (2017): 69–77. http://dx.doi.org/10.17221/222/2015-swr.

Full text

Abstract:

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 provide

APA, Harvard, Vancouver, ISO, and other styles

15

Shrivastav, Manish, Steven K. Mickelson, Udoyara S. Tim, and David F. Webber. "Integrating a GIS and Remote Sensing Approach in the Agricultural Conservation Decision Support Tool for Soil Erosion Estimation." Applied Engineering in Agriculture 41, no. 3 (2025): 343–52. https://doi.org/10.13031/aea.16070.

Full text

Abstract:

HighlightsAssessment of soil erosion is useful in planning best management practices (BMPs) at the field and watershed scales.This study incorporated the Universal Soil Loss Equation (USLE) model with a Geographical Information System (GIS) and Remote Sensing (RS) data to develop and demonstrate a component of the Agricultural Conservation Decision Support Tool (AgConDST).The tool sub-component software package in the AgConDST can accurately identify sediment source areas and estimate soil erosion from various catchments.These USLE and GIS sub-tool components of the AgConDST can effectively id

APA, Harvard, Vancouver, ISO, and other styles

16

Faisol, Arif, and Mashudi Mashudi. "Estimation of Erosion Potentials through Utilization of Remote Sensing Data and The Universal Soil Loss Equation Model." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 12, no. 1 (2023): 223. http://dx.doi.org/10.23960/jtep-l.v12i1.223-235.

Full text

Abstract:

Remote sensing data and USLE models have been used widely for erosion analysis. In Indonesia, the USLE model is a reference in erosion analysis to assess land suitability for agricultural crop development. Erosion analysis using remote sensing data provides various advantages, including good accuracy, lower costs, and can analyze erosion rates quickly compared to direct measurement methods. The aim of this study was to analyze the potential erosion in the Arui watershed - Manokwari Regency – West Papua Province using remote sensing data and USLE models. The research was conducted from April to

APA, Harvard, Vancouver, ISO, and other styles

17

Kathwas, Amar Kumar, and Nilanchal Patel. "Geomorphic Control on Soil Erosion – a Case Study in the Subarnarekha Basin, India." Polish Journal of Soil Science 54, no. 1 (2021): 1. http://dx.doi.org/10.17951/pjss.2021.54.1.1-24.

Full text

Abstract:

<p>Geomorphology depicts the qualitative and quantitative characteristics of both terrain and landscape features combined with the processes responsible for its evolution. Soil erosion by water involves processes, which removes soil particles and organic matter from the upper sheet of the soil surface, and then transports the eroded material to distant location under the action of water. Very few studies have been conducted on the nature and dynamics of soil erosion in the different geomorphologic features. In the present investigation, an attempt has been made to assess the control of g

APA, Harvard, Vancouver, ISO, and other styles

18

Lane, LJ, KG Renard, GR Foster, and JM Laflen. "Development and application of modern soil erosion prediction technology - The USDA experience." Soil Research 30, no. 6 (1992): 893. http://dx.doi.org/10.1071/sr9920893.

Full text

Abstract:

Erosion prediction efforts are described to provide a synopsis of the USDA's experience in developing and applying soil erosion prediction technology in its research and development activities and its soil conservation programs. For almost five decades, equations to predict soil erosion by water have been useful m developing plans for controlling soil erosion and sedimentation. The Universal Soil Low Equation (USLE) is the most widely known and used of the erosion prediction equations. The USLE presents a simply understood and easily applied technology which has been of incalculable benefit to

APA, Harvard, Vancouver, ISO, and other styles

19

Pampalone, Vincenzo, Alessio Nicosia, Vincenzo Palmeri, Maria Angela Serio, and Vito Ferro. "Rill and Interrill Soil Loss Estimations Using the USLE-MB Equation at the Sparacia Experimental Site (South Italy)." Water 15, no. 13 (2023): 2396. http://dx.doi.org/10.3390/w15132396.

Full text

Abstract:

A reliable prediction of event soil loss at the plot scale can be obtained by Universal Soil Loss Equation (USLE)-type models. For the Sparacia site (South Italy), the USLE-MB model was recently developed, in which the effect of the erosive agent is modeled using the rainfall erosivity index of the USLE by a power b1 > 1 of the runoff coefficient QR. In this investigation, the model is parameterized separately using plot data collected for rill and interrill events that occurred in the Sparacia experimental area. The values b1 = 1.406 and b1 = 1.012 were obtained for the interrill and rill

APA, Harvard, Vancouver, ISO, and other styles

20

Nuranto, Sindu, Suci Nur Ustriyati, Ifa Nadya Putri, Pratama Tirza Surya Sembada, and Estu Wijayanti. "Sedimentation Analysis in the Tambakboyo Retention Basin Using the USLE Method and Eco Sounder Measurements to Support the Optimization of Water Availability." E3S Web of Conferences 468 (2023): 08008. http://dx.doi.org/10.1051/e3sconf/202346808008.

Full text

Abstract:

The Tambakboyo Dam has been operated for more than 10 years, resulting in increased sedimentation and reduced storage capacity from 400,000 m3 to 300,285 m3. Therefore, to support the optimization of water availability, the age of the reservoir needs to be known. This research analyzes the volume of sediment in the Tambakboyo Reservoir to determine the effective age of the reservoir by estimating the rate of erosion that occurs. The USLE method is used to determine the rate of erosion that occurs in the Tambakboyo Dam catchment area and bathymetry measurements are used to determine the volume

APA, Harvard, Vancouver, ISO, and other styles

21

Silburn, D. M. "Hillslope runoff and erosion on duplex soils in grazing lands in semi-arid central Queensland. III. USLE erodibility (K factors) and cover - soil loss relationships." Soil Research 49, no. 2 (2011): 127. http://dx.doi.org/10.1071/sr09070.

Full text

Abstract:

Measured Universal Soil Loss Equation (USLE) soil erodibility (K) values are not available for soils in grazing lands in northern Australia. The K values extrapolated from croplands are used in national and river-basin scale assessments of hillslope erosion, using an assumption that the cover factor (C) equals 0.45 for undisturbed (uncultivated) bare soil. Thus, the K needed for input into the models is the measured K for undisturbed soil (KU) divided by 0.45. Runoff and erosion data were available for 7 years on 12 hillslope plots with cover of 10–80%, with and without grazing, with and witho

APA, Harvard, Vancouver, ISO, and other styles

22

Akbar, Al. "ANALISIS EROSI PERMUKAAN MENGGUNAKAN METODE RUSLE DAN USLE DI DAS TALLO." J-CENTAL 2, no. 1 (2024): 11–22. http://dx.doi.org/10.36761/jcental.v2i1.2226.

Full text

Abstract:

Daerah Aliran Sungai (DAS) Tallo adalah DAS yang secara administratif terletak ditengah kota besar, Makassar. Potensi Erosi di DAS ini cukup besar karena posisi dan letaknya yang lebih rendah dari permukaan dan alih fungsi lahan yang terus meningkat. Tujuan dari penelitian ini untuk mengetahui berapa besar analisis erosi curah hujan area yang ada di DAS Tallo dan untuk mengetahui berapa besar erosi permukaan yang terjadi di DAS Tallo menggunkan Metode Rusle dan Usle. Metode yang digunakan yaitu metode deskriptif kuantitatif dengan pendekatan analisis data sekunder. Analisis ini merupakan metod

APA, Harvard, Vancouver, ISO, and other styles

23

Suryawanshi, Ashwini, Snehil Dubey, and Mahima Sharma. "Evaluating Soil Erosion through Geospatial Techniques: Difficulties and Prospects in the Context of the Central Indian Chambal River Basin." International Journal of Environment and Climate Change 13, no. 11 (2023): 4518–33. http://dx.doi.org/10.9734/ijecc/2023/v13i113632.

Full text

Abstract:

Soil erosion is the greatest threat to the ecosystem which gets accelerated due to environmental agents such as water and wind as well as anthropogenic activities. Effective estimation of soil degradation plays an important role in planning preventive measures and conserving the soil. This study was carried out to provide decision-makers with a picture of soil erosion in Madhya Pradesh's Chambal basin and to identify environmentally hot areas to assist in planning effective conservation measures. By using a few input parameters to create raster maps of the Rainfall erosivity factor (R), Soil e

APA, Harvard, Vancouver, ISO, and other styles

24

Suryawanshi, Ashwini, Anupam Kumar Nema, Rahul Kumar Jaiswal, Sukant Jain, and Saswat Kumar Kar. "Identification of Soil Erosion Prone Areas of Madhya Pradesh using USLE/ RUSLE." Journal of Agricultural Engineering 58, no. 02 (2021): 177–91. http://dx.doi.org/10.52151/jae2021581.1744.

Full text

Abstract:

Soil erosion is caused due to the dynamic action of erosive agents, mainly water, and is a major threat to the environment. Primary aim of the present study was to study the soil loss dynamics, and identify the environmental hotspots in Madhya Pradesh to aid decision-makers to plan and prioritize appropriate conservation measures. Universal Soil Loss Equation (USLE) and Revised Universal Soil Loss Equation (RUSLE) models were applied for erosion rate estimation by generating thematic maps of R (Rainfall erosivity factor), K (Soil erodibility factor), LS (Topographic factor), C (Cover and manag

APA, Harvard, Vancouver, ISO, and other styles

25

Pontes, Samuel Ferreira, Yuri Jacques Agra Bezerra da Silva, Vanessa Martins, et al. "Prediction of Soil Erodibility by Diffuse Reflectance Spectroscopy in a Neotropical Dry Forest Biome." Land 11, no. 12 (2022): 2188. http://dx.doi.org/10.3390/land11122188.

Full text

Abstract:

The USLE and the RUSLE are two common erosion prediction models that are used worldwide, and soil erodibility (K-factor) is one parameter used to calculate them. The objectives of this study were to investigate the variability of soil-erodibility factors under different soil-texture classes and evaluate the efficiency of diffuse reflectance spectroscopy (DRS) in the near-infrared range at predicting the USLE and RUSLE K-factors using a partial least squares regression analysis. The study was conducted in Fluvisols in dry tropical forest (the Caatinga). Sampling was undertaken in the first 20 c

APA, Harvard, Vancouver, ISO, and other styles

26

Suharto, Bambang, Fajri Anugroho, and Bachtiar Arifin. "Analisis Tingkat Bahaya Erosi Pada Lahan Pertanian di Desa Ranu Pani Taman Nasional Bromo Tengger Semeru." Jurnal Sumberdaya Alam dan Lingkungan 10, no. 2 (2023): 88–96. http://dx.doi.org/10.21776/ub.jsal.2023.010.02.5.

Full text

Abstract:

Ranu Pani merupakan objek wisata berupa danau di desa Ranu Pani di kecamatan Senduro, Kabupaten Lumajang, Jawa Timur yang merupakan bagian dari Taman Nasional Bromo Tengger Semeru (TNBTS). Kegiatan warga di bidang pertanian merupakan salah satu faktor terjadinya penyempitan di Danau Ranu Pani. Perubahan karakteristik lahan dan intensitas curah hujan yang cukup tinggi serta perubahan penggunaan lahan juga merupakan faktor yang ikut berperan dalam munculnya erosi. Mengetahui besarnya erosi yang terjadi di suatu wilayah merupakan hal yang penting, karena selain dapat mengetahui banyaknya tanah ya

APA, Harvard, Vancouver, ISO, and other styles

27

Baral, Sachit, and Umesh Bhurtyal. "Soil erosion estimation using USLE/RUSLE in Kaski district." OODBODHAN 8 (July 8, 2025): 82–92. https://doi.org/10.3126/oodbodhan.v8i1.81252.

Full text

Abstract:

Soil erosion is a major environmental concern in Nepal’s mid-hill regions, particularly in areas like Kaski District where steep slopes, intense rainfall, and changing land use contribute to land degradation. This study aims to assess soil erosion loss in Kaski District by applying the Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE) models. Utilizing available datasets such as SRTM DEM for slope and aspects data, CHIRPS rainfall data, NARC soil data and ICIMOD land use landcover map, soil erosion loss maps were generated to identify soil erosion pattern

APA, Harvard, Vancouver, ISO, and other styles

28

Vijay, Suryawanshi. "ENVIRONMENTAL ASSESSMENT OF SOIL EROSION ON LAKNAVARAM LAKE BASIN." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 4, no. 9 (2017): 153–66. https://doi.org/10.5281/zenodo.999295.

Full text

Abstract:

The aim of this work is to estimate soil erosion on Laknavaram lake basin, JayashankarBhupalpally district, Telangana. Soils play a major role in production of food, storage of water, nutrients and organic matter. Loss of soils effects its ability to perform these functions. Soil loss reduces its potential in crop production, damages drainage network, decreases the capacity of hydraulic structures. Estimation of soil erosion in this study has been done using USLE model. The USLE was developed from soil erosion plot and rainfall simulator experiments. The USLE is composed of six factors to esti

APA, Harvard, Vancouver, ISO, and other styles

29

Benavidez, Rubianca, Bethanna Jackson, Deborah Maxwell, and Kevin Norton. "A review of the (Revised) Universal Soil Loss Equation ((R)USLE): with a view to increasing its global applicability and improving soil loss estimates." Hydrology and Earth System Sciences 22, no. 11 (2018): 6059–86. http://dx.doi.org/10.5194/hess-22-6059-2018.

Full text

Abstract:

Abstract. Soil erosion is a major problem around the world because of its effects on soil productivity, nutrient loss, siltation in water bodies, and degradation of water quality. By understanding the driving forces behind soil erosion, we can more easily identify erosion-prone areas within a landscape to address the problem strategically. Soil erosion models have been used to assist in this task. One of the most commonly used soil erosion models is the Universal Soil Loss Equation (USLE) and its family of models: the Revised Universal Soil Loss Equation (RUSLE), the Revised Universal Soil Los

APA, Harvard, Vancouver, ISO, and other styles

30

Payuyu, Efendy, Fitriyane Lihawa, and Iswan Dunggio. "APLIKASI MODEL BUILDER PADA SISTEM INFORMASI GEOGRAFI UNTUK MENDUGA POTENSI EROSI DI SUB DAS MARISA KABUPATEN GORONTALO." Gorontalo Journal of Forestry Research 6, no. 1 (2023): 34. http://dx.doi.org/10.32662/gjfr.v6i1.2504.

Full text

Abstract:

ABSTRAK Sub DAS Marisa merupakan salah satu sub DAS yang mengalami kerusakan. Adanya perubahan penggunaan lahan menjadi lahan pertanian mengakibatkan peningkatan terjadinya erosi. Tujuan penelitian adalah untuk menduga potensi erosi dengan aplikasi model Builder pada Sistem Informasi Geografis. Pengukuran potensi erosi menggunakan metode USLE (Universal Soil Loss Equation). Berdasarkan hasil analisis USLE bahwa Sub DAS Marisa nilai erosi tertinggi berada di Kecamatan Limboto Barat dengan luas 7.539,30 Ha. Faktor erosi yang paling berpengaruh di Sub DAS Marisa yaitu faktor CP dan LS. Mayoritas

APA, Harvard, Vancouver, ISO, and other styles

31

Carra, Bruno Gianmarco, Giuseppe Bombino, Manuel Esteban Lucas-Borja, Pietro Denisi, Pedro Antonio Plaza-Álvarez, and Demetrio Antonio Zema. "Modelling the Event-Based Hydrological Response of Mediterranean Forests to Prescribed Fire and Soil Mulching with Fern Using the Curve Number, Horton and USLE-Family (Universal Soil Loss Equation) Models." Land 10, no. 11 (2021): 1166. http://dx.doi.org/10.3390/land10111166.

Full text

Abstract:

The SCS-CN, Horton, and USLE-family models are widely used to predict and control runoff and erosion in forest ecosystems. However, in the literature there is no evidence of their use in Mediterranean forests subjected to prescribed fire and soil mulching. To fill this gap, this study evaluates the prediction capability for runoff and soil loss of the SCS-CN, Horton, MUSLE, and USLE-M models in three forests (pine, chestnut, and oak) in Southern Italy. The investigation was carried out at plot and event scales throughout one year, after a prescribed fire and post-fire soil mulching with fern.

APA, Harvard, Vancouver, ISO, and other styles

32

Zhang, Hong Ming, Qin Ke Yang, Shu Qin Li, et al. "Design and Implementation of Regional LS Factor Computing Tool Based on GIS and Array Operation." Applied Mechanics and Materials 394 (September 2013): 509–14. http://dx.doi.org/10.4028/www.scientific.net/amm.394.509.

Full text

Abstract:

For over 40 years, the universal soil loss equation (USLE) and its revised version the revised universal soil loss equation (RUSLE) have been used all over the world for soil mean annual loss per area unit. Because of the watershed erosion models are under developing, many researchers applied the USLE and RUSLE to estimate soil loss in watershed estimations. However, a major limitation is the difficulty in extracting the LS factor. The geographic information system-based (GIS-based) methods which have been developed for estimating the slope length for USLE and RUSLE model also have limitations

APA, Harvard, Vancouver, ISO, and other styles

33

Yusuf, Sri Malahayati, Kukuh Murtilaksono, and Dwi Mei Lawaswati. "Pemetaan sebaran erosi tanah prediksi melalui integrasi model USLE ke dalam Sistem Informasi Geografis." Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) 10, no. 4 (2020): 594–606. http://dx.doi.org/10.29244/jpsl.10.4.594-606.

Full text

Abstract:

Penerapan model USLE pada beberapa Daerah Aliran Sungai (DAS) di Indonesia menunjukkan keragaman proses yang mempengaruhi terjadinya erosi tanah. Integrasi model USLE ke dalam Sistem Informasi Geografis (SIG) mampu memberikan gambaran spasial dari sebaran kelas erosi tanah. Penelitian ini bertujuan untuk memprediksi besarnya erosi tanah pada berbagai tutupan lahan di sub DAS Ciesek dengan mengintegrasikan model USLE ke dalam SIG. Pengambilan sampel tanah utuh dan terganggu dilakukan berdasarkan SPT, disertai pengamatan sifat fisik tanah di lapangan. Prediksi erosi tanah dilakukan menggunakan m

APA, Harvard, Vancouver, ISO, and other styles

34

WILSON, JOHN P. "SOIL EROSION FROM AGRICULTURAL LAND IN THE LAKE SEMCOE–COUCHICHING BASIN, 1800–1981." Canadian Journal of Soil Science 69, no. 1 (1989): 137–51. http://dx.doi.org/10.4141/cjss89-013.

Full text

Abstract:

Soil losses from agricultural land in the Lake Simcoe–Couchiching Basin between 1800 and 1981 are estimated with the universal soil loss equation (USLE). Existing methods and data are used to estimate and combine the six USLE factors with one exception. A new method that is consistent with the USLE slope definitions was developed and used to estimate the topographic factor. The results of the present study add to earlier erosion assessments because they describe the erosion hazard throughout the basin from the first days of forest clearance and agricultural settlement to the present. In partic

APA, Harvard, Vancouver, ISO, and other styles

35

Demir, Saniye, Halis Şimşek, and Yağmur Kaya. "Evaluation of WEPP and Its Comparison with USLE and MUSLE in Yozgat-Kadılı Village." Turkish Journal of Agriculture - Food Science and Technology 12, no. 10 (2024): 1684–95. http://dx.doi.org/10.24925/turjaf.v12i10.1684-1695.6895.

Full text

Abstract:

The water erosion is a significant environmental issue in arid and semi-arid regions. It leads to soil degradation, reduced agricultural productivity, and desertification. This article used The WEPP, the USLE, and the MUSLE models to estimate the average soil loss in the Yozgat-Kadılı village. Also, The MUSLE model utilized the WEPP model-estimated runoff for soil loss estimation. The USLE model, which estimates soil erosion using six factors (R, K, L, S, P, and C), can be improved by incorporating the Modified Fournier Index (MFI). Results indicated that the MUSLE model (3.66 t/ha) performed

APA, Harvard, Vancouver, ISO, and other styles

36

Souza, Bruna Alves de, Vinícius de Oliveira Ribeiro, Nelison Ferreira Correa, João Lucas Alves da Silva, Jonailce Oliveira Diodato, and Lucimara Gonçalves Narcizo. "Carta de áreas prioritárias à recuperação para a microbacia do córrego Curupaí, Mato Grosso do Sul." Research, Society and Development 11, no. 6 (2022): e47011629416. http://dx.doi.org/10.33448/rsd-v11i6.29416.

Full text

Abstract:

Dados que compõem a Equação Universal de Perdas de Solo (USLE), bem como a Temperatura de Superfície Terrestre (TST) são fatores qualiquantitativos fundamentais no uso e conservação do solo, e, em geral, analisados individualmente. O objetivo deste trabalho foi identificação de áreas prioritárias à recuperação na bacia hidrográfica do Córrego Curupaí/ MS. Para tanto, elaboraram-se cartas específicas referentes a cada fator componente da USLE, além da confecção da carta de Temperatura de Superfície Terrestre (TST), em ambiente SIG. Na sequência, as cartas de estimativa de perda anual de solo (F

APA, Harvard, Vancouver, ISO, and other styles

37

Virlayani, Asnita, Saefulloh Bakri, and Indriyanti. "Pengaruh Vegetasi Terhadap Laju Erosi." Arus Jurnal Sains dan Teknologi 2, no. 2 (2024): 606–14. https://doi.org/10.57250/ajst.v2i2.687.

Full text

Abstract:

Erosi tanah di DAS Sungai Maros Takalar mengancam lingkungan dan kehidupan. Pencegahan perlu dilakukan melalui penanaman vegetasi riparian yang kuat. Meskipun bantaran sungai penting, aktivitas manusia dapat merusaknya. Vegetasi riparian juga mendukung konservasi air dan habitat satwa liar. Oleh karena itu, penelitian "Analisis Metode USLE dan RUSLE terhadap vegetasi Riparian Sebagai Lining Penahan Erosi" menjadi penting. Penelitian ini bertujuan menganalisis bagaimana pengaruh vegetasi terhadap laju erosi yang terjadi dan bagaimana kerapatan vegetasi pada daerah riparian Sungai Maros kabupate

APA, Harvard, Vancouver, ISO, and other styles

38

FIRMINO GOMES, FRANCISCO EMANOEL, George Leite Mamede, and Fernando Bezerra Lopes. "ALTERNATIVA PARA O CÁLCULO AUTOMÁTICO E ESPACIALIZADO DO FATOR TOPOGRÁFICO DA USLE EM BACIAS HIDROGRÁFICAS." IRRIGA 1, no. 2 (2018): 6–13. http://dx.doi.org/10.15809/irriga.2018v1n2p6-13.

Full text

Abstract:

ALTERNATIVA PARA O CÁLCULO AUTOMÁTICO E ESPACIALIZADO DO FATOR TOPOGRÁFICO DA USLE EM BACIAS HIDROGRÁFICAS   FRANCISCO EMANOEL FIRMINO GOMES1; GEORGE LEITE MAMEDE2 E FERNANDO BEZERRA LOPES3  1Departamento de engenharia agrícola/UFC, Doutorando em engenharia agrícola, Fortaleza, CE, Fone:(85)99238-2819, CEP:60440-900, e-mail: emanoelfg@hotmail.com. 2Instituto de Engenharias e Desenvolvimento Sustentável/ UNILAB, Professor Doutor, Redenção, CE, CEP: 62790-000, e-mail: georgemamede@hotmail.com 3Departamento de Engenharia Agrícola, UFC, Professor Doutor, F

APA, Harvard, Vancouver, ISO, and other styles

39

Steinhoff-Knopp, Bastian, and Benjamin Burkhard. "Mapping Control of Erosion Rates: Comparing Model and Monitoring Data for Croplands in Northern Germany." One Ecosystem 3 (June 12, 2018): e26382. http://dx.doi.org/10.3897/oneeco.3.e26382.

Full text

Abstract:

Control of erosion rates (CER) is a key ecosystem service for soil protection. It is mandatory for sustaining the capacity, especially of agroecosystems, to provide ecosystem services. By applying an established framework to assess soil regulating services, this study compares two approaches to assess CER provision for 466 ha of cropland in Lower Saxony (Central Northern Germany). In a "sealed modelling approach", the structural and the mitigated structural impact were modelled by applying the Universal Soil Loss Equation (USLE). The second approach uses spatially explicit long-term monitoring

APA, Harvard, Vancouver, ISO, and other styles

40

Steinhoff-Knopp, Bastian, and Benjamin Burkhard. "Mapping Control of Erosion Rates: Comparing Model and Monitoring Data for Croplands in Northern Germany." One Ecosystem 3 (June 12, 2018): e26382. https://doi.org/10.3897/oneeco.3.e26382.

Full text

Abstract:

Control of erosion rates (CER) is a key ecosystem service for soil protection. It is mandatory for sustaining the capacity, especially of agroecosystems, to provide ecosystem services. By applying an established framework to assess soil regulating services, this study compares two approaches to assess CER provision for 466 ha of cropland in Lower Saxony (Central Northern Germany). In a "sealed modelling approach", the structural and the mitigated structural impact were modelled by applying the Universal Soil Loss Equation (USLE). The second approach uses spatially explicit long-term monitoring

APA, Harvard, Vancouver, ISO, and other styles

41

Le, Trung Van, Hoang Thi Kim Nguyen, and Anh Thi Ngoc Nguyen. "GIS and Remote Sensing solution for Dalat city’s soil erosion mapping." Science and Technology Development Journal 19, no. 2 (2016): 46–54. http://dx.doi.org/10.32508/stdj.v19i2.700.

Full text

Abstract:

This paper introduces the solution for Dalat city’s soil erosion mapping using the integration of GIS, Remote Sensing and the Universal Soil Loss Equation (USLE). Each of the USLE factors with associated attribute data are dicussed and the soil erosion parameters were selected and encoded in a GIS database to produce thematic layers. The result demonstrates the soil erosion map that indicates the potential annual soil loss located in each area of land. This map is used to confirm the severe level of soil erosion risk need immediate attention from soil conservation point of view.

APA, Harvard, Vancouver, ISO, and other styles

42

Arévalo, Diana, Ramón Bienes, and Marta Ruiz-Colmenero. "Application of three erosion prediction models in the center of the Iberian Peninsula: incorporation and evaluation of new parameters with influence on soil losses / Aplicación de tres modelos de predicción de la erosión en el centro de la Península Ibérica: incorporación y evaluación de nuevos parámetros con influencia en las pérdidas de suelo." Brazilian Journal of Animal and Environmental Research 5, no. 2 (2022): 1829–43. http://dx.doi.org/10.34188/bjaerv5n2-030.

Full text

Abstract:

Erosion prediction models are useful tools for assessing the impact of land use practices on soil and water conservation. These models are often used by environmental protection authorities for the establishment of guidelines. This study examines the application of three erosion models of different complexity to predict soil loss in a small basin located in the center of the Iberian Peninsula, under a semi-arid Mediterranean climate. The models applied are: the Universal Soil Loss Equation (USLE), the Revised Universal Soil Loss Equation (RUSLE) and an adaptation of the USLE model, which we ha

APA, Harvard, Vancouver, ISO, and other styles

43

Csáfordi, Péter, Andrea Pődör, Jan Bug, and Zoltán Gribovsyki. "Soil Erosion Analysis in a Small Forested Catchment Supported by ArcGIS Model Builder." Acta Silvatica et Lignaria Hungarica 8, no. 1 (2012): 39–56. http://dx.doi.org/10.2478/v10303-012-0004-5.

Full text

Abstract:

Abstract - To implement the analysis of soil erosion with the USLE in a GIS environment, a new workflow has been developed with the ArcGIS Model Builder. The aim of this four-part framework is to accelerate data processing and to ensure comparability of soil erosion risk maps. The first submodel generates the stream network with connected catchments, computes slope conditions and the LS factor in USLE based on the DEM. The second submodel integrates stream lines, roads, catchment boundaries, land cover, land use, and soil maps. This combined dataset is the basis for the preparation of other US

APA, Harvard, Vancouver, ISO, and other styles

44

Kinnell. "A Review of the Science and Logic Associated with Approach Used in the Universal Soil Loss Equation Family of Models." Soil Systems 3, no. 4 (2019): 62. http://dx.doi.org/10.3390/soilsystems3040062.

Full text

Abstract:

Soil erosion caused by rain is a major factor in degrading agricultural land, and agricultural practices that conserve soil should be used to maintain the long-term sustainability of agricultural land. The Universal Soil Loss Equation (USLE) was developed in the 1960s and 1970s to predict the long-term average annual soil loss from sheet and rill erosion on field-sized areas as an aid to making management decisions to conserve soil. The USLE uses six factors to take account of the effects of climate, soil, topography, crops, and crop management, and specific actions designed to conserve soil.

APA, Harvard, Vancouver, ISO, and other styles

45

KACHANOSKI, R. G., and E. de JONG. "EVALUATION OF THE EROSION INDEX FOR THE PRAIRIES." Canadian Journal of Soil Science 65, no. 1 (1985): 225–28. http://dx.doi.org/10.4141/cjss85-024.

Full text

Abstract:

Ateshian’s (1974) equation, used by Wall et al. (1983) to calculate the USLE rainfall erosion index (R) for Canada, appears to considerably overestimate the actual R value for Saskatchewan. An alternative equation derived using a generalized distribution curve for prairie rainstorms given by McKay (1970) predicted an R value of 350 for Saskatoon which was close to the 12-yr average (R = 340) for Saskatoon calculated from tipping bucket rain data. More R values need to be calculated from existing climatological data to determine which (if any) estimation equation is satisfactory. Key words: Rai

APA, Harvard, Vancouver, ISO, and other styles

46

Dang, Xinghai, and Yajie Sun. "Estimation of soil erosion in loess plateau based on geographic information system." Journal of Geography and Cartography 5, no. 1 (2021): 1. http://dx.doi.org/10.24294/jgc.v5i1.1410.

Full text

Abstract:

One of the core problems in soil erosion research is the estimation of soil erosion. It is a feasible method and technical approach to estimate soil erosion in Loess Plateau region by using USLE model, GIS and RS technology and using DEM data, meteorological data and land-use type data. With the support of GIS and RS technology, the USLE factors and soil erosion in Loess Plateau region were estimated, and the soil erosion intensity was classified according to the Chinese soil erosion intensity classification standard. The results can provide reference for the development of soil erosion contro

APA, Harvard, Vancouver, ISO, and other styles

47

Selmy, Salman A. H., Salah H. Abd Al-Aziz, Raimundo Jiménez-Ballesta, Francisco Jesús García-Navarro, and Mohamed E. Fadl. "Modeling and Assessing Potential Soil Erosion Hazards Using USLE and Wind Erosion Models in Integration with GIS Techniques: Dakhla Oasis, Egypt." Agriculture 11, no. 11 (2021): 1124. http://dx.doi.org/10.3390/agriculture11111124.

Full text

Abstract:

Soil erosion modeling is becoming more significant in the development and implementation of soil management and conservation policies. For a better understanding of the geographical distribution of soil erosion, spatial-based models of soil erosion are required. The current study proposed a spatial-based model that integrated geographic information systems (GIS) techniques with both the universal soil loss equation (USLE) model and the Index of Land Susceptibility to Wind Erosion (ILSWE). The proposed Spatial Soil Loss Model (SSLM) was designed to generate the potential soil erosion maps based

APA, Harvard, Vancouver, ISO, and other styles

48

Takáts, Tünde, László Pásztor, Mátyás Árvai, Gáspár Albert, and János Mészáros. "Testing the Applicability and Transferability of Data-Driven Geospatial Models for Predicting Soil Erosion in Vineyards." Land 14, no. 1 (2025): 163. https://doi.org/10.3390/land14010163.

Full text

Abstract:

Empirically based approaches, like the Universal Soil Loss Equation (USLE), are appropriate for estimating mass movement attributed to rill erosion. USLE and its associates become widespread even in spatially extended studies in spite of its original plot-level concept, as well as with certain constraints on the supply of suitable input spatial data. At the same time, there is a continuously expanding opportunity and offer for the application of remote sensing (RS) imagery together with machine learning (ML) techniques to model and monitor various environmental processes utilizing their versat

APA, Harvard, Vancouver, ISO, and other styles

49

Jones, Bilal G., Buddhi R. Gyawali, Demetrio Zourarakis, Maheteme Gebremedhin, and George Antonious. "Soil Loss Analysis of an Eastern Kentucky Watershed Utilizing the Universal Soil Loss Equation." Environments 9, no. 10 (2022): 126. http://dx.doi.org/10.3390/environments9100126.

Full text

Abstract:

Soil erosion is the displacement of soil’s upper layer(s) triggered by a variation in topography, land use and soil types, and anthropogenic activities. This study selected the Marrowbone Creek-Russel Fork watershed in eastern Kentucky to estimate the mean annual soil loss over eight years (from 2013 to 2020) utilizing the Universal Soil Loss Equation (USLE). We included monthly precipitation, soil survey, digital elevation model (DEM), and land cover data to estimate the parameters of the USLE. The mean annual soil loss for the study area ranged from 1.77 to 2.91 Mg ha−1 yr−1 with an eight-ye

APA, Harvard, Vancouver, ISO, and other styles

50

Elozona, Onuchukwu Ejikeme, Njoku Adaora Olivia, Anozie Humphrey Chukwuma, et al. "Evaluation of Soil Erodibility Potential of the Geologic Formations in Awka Capital Territory South Eastern Nigeria Using the Universal Loss Equation Parameters." International Journal of Research and Innovation in Applied Science IX, no. VII (2024): 28–37. http://dx.doi.org/10.51584/ijrias.2024.907004.

Full text

Abstract:

A survey was carried out on soil erodibility in the territory of the capital city of Awka in the southeast of Nigeria. The study aims to assess and document the soil erosion potential in the face of growing population and environmental challenges. The erodibility potential of the study area was assessed using the Universal Soil Loss Equation (USLE) and United States Department of Agriculture (USDA) tools. A total of twenty-five (25) sample locations points was used for this study and the Arc-GIS tool was also used to assist in the field for this estimation using the erodibility indicators of t

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!