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Relevant bibliographies by topics / Universal Soil Loss Equation

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Academic literature on the topic 'Universal Soil Loss Equation'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 March 2023

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Journal articles on the topic "Universal Soil Loss Equation"

1

B. Yu. "ACOMPARISON OF THE R-FACTOR IN THE UNIVERSAL SOIL LOSS EQUATION AND REVISED UNIVERSAL SOIL LOSS EQUATION." Transactions of the ASAE 42, no. 6 (1999): 1615–20. http://dx.doi.org/10.13031/2013.13327.

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Erol, A., Ö. Koşkan, and M. A. Başaran. "Socioeconomic modifications of the universal soil loss equation." Solid Earth 6, no. 3 (2015): 1025–35. http://dx.doi.org/10.5194/se-6-1025-2015.

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Abstract. While social scientists have long focused on socioeconomic and demographic factors, physical modelers typically study soil loss using physical factors. In the current environment, it is becoming increasingly important to consider both approaches simultaneously for the conservation of soil and water, and the improvement of land use conditions. This study uses physical and socioeconomic factors to find a coefficient that evaluates the combination of these factors. It aims to determine the effect of socioeconomic factors on soil loss and, in turn, to modify the universal soil loss equat

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Luvai, Allois, John Obiero, and Christian Omuto. "Soil Loss Assessment Using the Revised Universal Soil Loss Equation (RUSLE) Model." Applied and Environmental Soil Science 2022 (February 15, 2022): 1–14. http://dx.doi.org/10.1155/2022/2122554.

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Many catchment areas have suffered from exhaustive changes because of various land use activities over the recent past. These land use changes are associated with intensified environmental degradation witnessed in catchment areas. Such environmental problems include extreme soil erosion. Soil erosion is one of the most critical problems responsible for the degradation of land worldwide. This phenomenon occurs as a result of the complex interactions that exist between natural and human-induced factors. Most factors experience spatiotemporal variations, hence complicating the soil erosion phenom

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Risse, L. M., M. A. Nearing, J. M. Laflen, and A. D. Nicks. "Error Assessment in the Universal Soil Loss Equation." Soil Science Society of America Journal 57, no. 3 (1993): 825–33. http://dx.doi.org/10.2136/sssaj1993.03615995005700030032x.

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Chandramohan, T., and Dilip G. Durbude. "Estimation of soil erosion potential using Universal Soil Loss Equation." Journal of the Indian Society of Remote Sensing 30, no. 4 (2002): 181–90. http://dx.doi.org/10.1007/bf03000361.

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Azaiez, Naima. "Improved Modelling of Soil Loss in El Badalah Basin: Comparing the Performance of the Universal Soil Loss Equation, Revised Universal Soil Loss Equation and Modified Universal Soil Loss Equation Models by Using the Magnetic and Gravimetric Prospection Outcomes." Journal of Geoscience and Environment Protection 09, no. 04 (2021): 50–73. http://dx.doi.org/10.4236/gep.2021.94005.

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Effendi Rahim, Supli, Ahmad Affandi Supli, and Nurhayati Damiri. "Soil Loss Prediction on Mobile Platform Using Universal Soil-Loss Equation (USLE) Model." MATEC Web of Conferences 97 (2017): 01066. http://dx.doi.org/10.1051/matecconf/20179701066.

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Erol, A., Ö. Koşkan, and M. A. Başaran. "Socio-economic modifications of the Universal Soil Loss Equation." Solid Earth Discussions 7, no. 2 (2015): 1731–59. http://dx.doi.org/10.5194/sed-7-1731-2015.

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Abstract. While social scientists have long focused on socio-economic and demographic factors, physical modelers typically study soil loss using physical factors. In the current environment, it is becoming increasingly important to consider both approaches simultaneously for the conservation of soil and water, and the improvement of land use conditions. This study uses physical and socio-economic factors to find a coefficient that evaluates the combination of these factors. It aims to determine the effect of socio-economic factors on soil loss and, in turn, to modify the Universal Soil Loss Eq

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Joshi, Veena, Nilesh Susware, and Debasree Sinha. "Estimating soil loss from a watershed in Western Deccan, India, using Revised Universal Soil Loss Equation." Landscape & Environment 10, no. 1 (2016): 13–25. http://dx.doi.org/10.21120/le/10/1/2.

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USLE (Universal Soil Loss Equation) is the original and the most widely accepted soil loss estimation technique till date which has evolved from a design tool for conservation planning to a research methodology all across the globe. The equation has been revised and modified over the years and became a foundation for several new soil loss models developed all around the world. The equation has been revised as RUSLE by Renard et al. (1991) and is computed in GIS environment. The Revised equation is landuse independent which makes it a useful technique to apply in a variety of environment. The p

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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.

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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

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Dissertations / Theses on the topic "Universal Soil Loss Equation"

1

Kelsey, Kurt L. "Use of the Revised Universal Soil Loss Equation (Rusle) to predict event soil loss /." Link to abstract, 2002. http://epapers.uwsp.edu/abstracts/2002/Kelsey.pdf.

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Yuan, Xu. "EVALUATION OF THE PHOSPHORUS LOSS ASSESSMENT TOOL (PLAT) AND REVISED UNIVERSAL SOIL LOSS EQUATION (RUSLE) USING GEOSPATIAL INFORMATION." NCSU, 2007. http://www.lib.ncsu.edu/theses/available/etd-12212006-120809/.

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Excessive agricultural phosphorus (P) has been a major contributor to non-point source pollution. North Carolina developed the Phosphorus Loss Assessment Tool (PLAT) to evaluate the potential P loss from agricultural fields to waterbodies via four components. Our overall goal was to evaluate the potential of using spatial data to estimate P loss without physically visiting fields since many PLAT required parameters occur in spatial formats. The objective of the first study was to assess the possibility of spatial implementation of PLAT and to compare the effect of scale on the PLAT numerical r

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Rapp, John Francis 1963. "Error assessment of the revised universal soil loss equation using natural runoff plot data." Thesis, The University of Arizona, 1994. http://hdl.handle.net/10150/291699.

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The error associated with the Revised Universal Soil Loss Equation (RUSLE) was determined by utilizing data from 21 U.S. sites representing 1704 years of measurements from 206 plots. RUSLE estimates were compared to the measured values for each year and the average value for each plot duration. The model efficiency coefficient on an annual basis was (.58) and on an average annual basis was (.73). The RUSLE was consistent with a previous study of the USLE which tended to over predict on plots with low erosion rates and under predict on plots with high erosion rates. Also the Topographic Factor

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Son, Vo Thanh, and n/a. "Evaluation of the USLE (Universal Soil Loss Equation) to estimate soil loss from hobby farms and commercial pastoral properties around Murrumbateman, NSW, Australia." University of Canberra. Applied Science, 1993. http://erl.canberra.edu.au./public/adt-AUC20061108.171337.

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This thesis is an evaluation of the use the USLE to estimate soil loss from two pastoral land uses - commercial properties and "hobby farms" in Murrumbateman. Sensitivity analysis was used to evaluate the USLE components. Sediment measurement in farm dams was taken to estimate sediment yield from several sites, as an alternative approach to study soil loss. The annual soil loss from entire study area was 0.25 t/ha/year whilst these figures from commercial properties and hobby farms were 0.29 t/ha/year and 0.21 t/ha/year, respectively. The annual average sediment yield from three catchments in

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Marr, Paul Gerard. "Approximating soil loss calculations with satellite data and multivariate regression analyses." Thesis, University of North Texas, 1989. https://digital.library.unt.edu/ark:/67531/metadc798418/.

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Digital satellite remote sensing and Geographic Information Systems (GIS) have been used effectively to determine the Universal Soil Loss Equation (USLE) output for a number of North Texas watersheds. This method involves determining the values of each of the USLE factors and using these factors as information layers within the GIS.

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Sourlamtas, Konstantinos. "Soil Erosion estimation for the Göta Älv river using remote sensing, GIS and the Revised Universal Soil Loss Equation (RUSLE) model." Thesis, Stockholms universitet, Institutionen för naturgeografi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-175412.

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According to previous studies, the study area of Göta Älv river has high risk of landslides along the river banks due to the water flow. Soil erosion can affect the increase of the landslides in an area with unstable soils caused by the increase rainfall. The Swedish climate is getting more vulnerable thus there is a potential increased risk in erosion and landslides due to unpredictable rainfall intensity. This study aims to calculate soil erosion for the Göta Älv river using the Revised Universal Soil Loss Equation (RUSLE) where a comparison of data from remote sensing and meteorological and

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Bochichi, Diego da Cruz. "Avaliação do potencial de produção de sedimento na sub bacia hidrográfica do rio Pirajibu-Mirim /." Sorocaba, 2018. http://hdl.handle.net/11449/157448.

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Orientador: Antonio Cesar Germano Martins<br>Banca: Roberto Wagner Lourenço<br>Banca: Darllan Collins da Cunha e Silva<br>Resumo: A perda de solos em bacias hidrográficas pode causar prejuízos ambientais e comprometer os usos múltiplos potenciais desta bacia. Ações como desmatamento, atividades agrícolas, entre outras, expõem o solo aos agentes naturais (precipitação, vento) e estes desprendem e carreiam o solo para as porções mais baixas na bacia, promovendo o assoreamento dos corpos d'água. Estudos sobre o tema são importantes para auxiliar na gestão, manejo e entendimento destes ambientes e

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Hunter, Bruce Allan. "A comparison of universal soil loss equation results using a remote sensing/GIS technique to results obtained using a field survey technique." Thesis, University of North Texas, 1990. https://digital.library.unt.edu/ark:/67531/metadc798044/.

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Digital satellite remote sensing and Geographic Information Systems (GIS) have been used in conjunction with the Universal Soil Loss Equation (USLE) to model soil erosion potential within watersheds. This study compared erosion estimates calculated by the remote sensing method to results obtained in the field by soil conservationists using conventional methods.

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Flack, Paul E. 1960. "A method for establishing base-line soil loss rates on surface mine sites." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/276985.

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Surface mining operations require a comparison of post-mining erosion rates with pre-mining soil loss to ascertain if remedial measures are needed. In this study the Universal Soil-Loss Equation (USLE) was modified to reflect conditions of western rangelands to develop a procedure for estimating pre-mining soil loss rates. The modification used back-calculation for the C-Factor and an adjusted R-Factor based on storm size. Soil loss simulation based on stochastic precipitation patterns is appropriate to the site--the La Plata mine area in northern New Mexico--and increases the flexibility of t

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Costa, Ana Lúcia Carneiro da [UNESP]. "Estudo da vulnerabilidade à erosão com a aplicação da Equação Universal de Perda de Solo na alta bacia hidrográfica do rio Jacaré Pepira, utilizando SIG/SPRING." Universidade Estadual Paulista (UNESP), 2005. http://hdl.handle.net/11449/92785.

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Made available in DSpace on 2014-06-11T19:26:11Z (GMT). No. of bitstreams: 0 Previous issue date: 2005-11-11Bitstream added on 2014-06-13T19:13:07Z : No. of bitstreams: 1 costa_alc_me_rcla.pdf: 2147425 bytes, checksum: 989559e2911176da648ab906f9e027e0 (MD5)<br>A expansão territorial do agronegócio e da área urbana na Alta Bacia Hidrográfica do Rio Jacaré Pepira impacta a preservação de seus recursos naturais. A erosão se destaca como um processo do meio físico que possui uma relação estreita com o uso do solo. Para estudo da vulnerabilidade à erosão realizou-se uma análise segmentada dos fat

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Books on the topic "Universal Soil Loss Equation"

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Kiggundu, Lawrence. Distribution of rainfall erosivity in Swaziland: For use in the universal soil loss equation (USLE) and the soil loss estimator for southern Africa (SLEMSA) to estimate soil loss due to sheet and rill erosion. Social Science Research Unit and Research and Publications, University of Swaziland, 1986.

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Kesteren, A. R. Van. Universal soil loss equation (USLE) soil erodibility (K) factors for some common forest types of western Newfoundland. Canadian Forest Service, Newfoundland and Labrador Region, 1994.

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Thomas, A. W. Computer program for stochastic utilization of the USLE. Southern Piedmont Conservation Research Center, Agricultural Research Service, USDA, 1989.

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4

G, Renard K., Smith D. D, Wischmeier W. H, and United States. Department of Agriculture. Agricultural Research Service., eds. Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). United States Department of Agriculture [for sale by the U.S. Government printing Office, 1997.

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5

Laurens J. P. Van Vliet. Water erosion prediction for soils in the Peace River Region of British Columbia: Estimates using the universal soil loss equation. Research Branch, Agriculture Canada, 1989.

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Marx, Johannes. Die Erodierbarkeit charakteristischer Böden im Südosten der VR China. In Kommission bei Duncker & Humblot, 1988.

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Programme zur Erfassung von Landschaftsdaten, eine Bodenerosionsgleichung und ein Modell der Kaltluftentstehung =: Programmes for the collection of landdscape data, a soil erosion equation and a model showing how cold air arises. Im Selbstverlag des Geographischen Institutes der Universität Heidelberg, 1986.

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8

Blaszczynski, Jacek S. Watershed soil erosion, runoff, and sediment yield prediction using geographic information systems: A manual of GIS procedures. U.S. Dept. of the Interior, Bureau of Land Management, BLM Service Center, 1994.

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Kasran, Baharuddin. A guide for estimating surface soil loss using the modified soil loss equation (MSLE) on forest land. Forest Research Institute Malaysia, 1999.

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U S Department of Agriculture Soil C. Predicting Soil Loss Using the Universal Soil Loss Equation. Creative Media Partners, LLC, 2022.

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Book chapters on the topic "Universal Soil Loss Equation"

1

Renard, K. G., D. C. Yoder, D. T. Lightle, and S. M. Dabney. "Universal Soil Loss Equation and Revised Universal Soil Loss Equation." In Handbook of Erosion Modelling. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781444328455.ch8.

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Browning, George M. "Development for and of the Universal Soil Loss Equation." In Universal Soil Loss Equation. Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub8.c1.

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Robinson, A. R. "Sediment Yield as a Function of Upstream Erosion." In Universal Soil Loss Equation. Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub8.c2.

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Foster, G. R. "Sediment Yield from Farm Fields: The Universal Soil Loss Equation and Onfarm 208 Plan Implementation." In Universal Soil Loss Equation. Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub8.c3.

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Onstad, C. A., R. A. Young, M. A. Otterby, and R. F. Holt. "Sediment Yield Modeling for 208 Planning." In Universal Soil Loss Equation. Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub8.c4.

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Moldenhauer, W. C. "Erosion Control Obtainable under Conservation Practices." In Universal Soil Loss Equation. Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub8.c5.

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Holt, R. F., D. R. Timmons, and R. E. Burwell. "Water Quality Obtainable under Conservation Practices." In Universal Soil Loss Equation. Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub8.c6.

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LaRocque, Armand. "Universal Soil Loss Equation (USLE)." In Encyclopedia of Natural Hazards. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-1-4020-4399-4_43.

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Thapa, Pawan. "Soil Erosion Estimation Using Revised Universal Soil Loss Equation (RUSLE) Model and GIS." In GIScience for the Sustainable Management of Water Resources. Apple Academic Press, 2022. http://dx.doi.org/10.1201/9781003284512-16.

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Box, J. E., and L. D. Meyer. "Adjustment of the Universal Soil Loss Equation for Cropland Soils Containing Coarse Fragments." In Erosion and Productivity of Soils Containing Rock Fragments. Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub13.c9.

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Conference papers on the topic "Universal Soil Loss Equation"

1

Shellenberger, Kim, Nicole Wagner, and Nicole Wagner. "UNIVERSAL SOIL LOSS EQUATION AND ARCGIS APPLICATIONS IN EROSION OF ARSENIC CONTAMINATED SOIL." In Joint 69th Annual Southeastern / 55th Annual Northeastern GSA Section Meeting - 2020. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020se-344216.

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Park, Soyoung, Cheunggil Jin, and Chuluong Choi. "Predicting soil erosion under land-cover area and climate changes using the revised universal soil loss equation." In SPIE Remote Sensing, edited by Christopher M. U. Neale and Antonino Maltese. SPIE, 2011. http://dx.doi.org/10.1117/12.896325.

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BRIBIESCA RODRIGUEZ, MIGUEL ANGEL, ORGE IVAN JUAREZ DEHESA, FERNANDO J. GONZALEZ VILLARREAL, and GABRIELA GUTIÉRREZ AVIÑA. "SEDIMENT LOAD CALCULATION BY USING THE UNIVERSAL SOIL LOSS EQUATION WITH A GEOGRAPHIC INFORMATION SOFTWARE." In 38th IAHR World Congress. The International Association for Hydro-Environment Engineering and Research (IAHR), 2019. http://dx.doi.org/10.3850/38wc092019-0300.

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Li, Hui, Huizhong He, Xiaoling Chen, and Lihua Zhang. "An approach to compute the C factor for universal soil loss equation using EOS-MODIS vegetation index (VI)." In International Conference on Earth Observation Data Processing and Analysis, edited by Deren Li, Jianya Gong, and Huayi Wu. SPIE, 2008. http://dx.doi.org/10.1117/12.815335.

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Kopecký, Marek, Jaroslav Bernas, Ladislav Kolář, and Pavlína Hloucalová. "MONITORING OF ENERGY GAIN AND EROSION PROTECTION OF CORN AND TALL WHEATGRASS CROPS IN THE CONDITIONS OF THE CZECH REPUBLIC." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.084.

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With the growing energy demand of the society and the increased requirements for ecological aspects of obtaining and utilizing energies, renewable energy sources have been getting to the forefront. In the conditions of Central Europe, transformation of biomass to biogas through anaerobic digestion appears to be promising. The article describes the results of a field experiment carried out in an experimental site of the University of South Bohemia in České Budějovice (South Bohemia, Czech Republic). The goal of the article is to compare the conventionally grown corn (Zea mays L., hybrid Simao),

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Chia-Chun Wu and Tsung-Wen Wang. "Feasibility of Irregular-slope Equation on Soil Loss Prediction for Grass Strips." In International Symposium on Erosion and Landscape Evolution (ISELE), 18-21 September 2011, Anchorage, Alaska. American Society of Agricultural and Biological Engineers, 2011. http://dx.doi.org/10.13031/2013.39259.

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Badulescu, Bianca. "ESTIMATION AND MODELLING OF UNCERTAINTY PROPAGATION IN SOIL LOSS ASSESSMENT USING RUSLE EQUATION." In 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings. STEF92 Technology, 2019. http://dx.doi.org/10.5593/sgem2019/2.2/s11.099.

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Son, S. I., and K. W. Kim. "The Effect of Micro-Grooves on Hydrodynamic Lubrication Characteristics of a Piston Ring and a Cylinder Liner." In ASME/STLE 2011 International Joint Tribology Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ijtc2011-61118.

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In this study, the effect of micro-grooves on hydrodynamic fabrication characteristics between a piston ring and a micro-grooved cylinder liner is analyzed numerically. Elrod’s universal equation satisfying JFO theory is adopted to predict the cavitation region properly and calculate the pressure distribution between a piston ring and a micro-grooved cylinder liner. The analysis is carried out by varying the shape, depth, length, width and location of micro-grooves during the full engine cycle. The results show that micro-grooves can make friction loss decrease in comparison with a non-texture

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Rodrigo-Comino, Jesús, Enric Terol, and Artemi Cerdà. "IMPROVED STOCK UNEARTHING METHOD (ISUM) ALLOW TO ASSESS SOIL EROSION PROCESSES IN GRAFTED PLANTS USING IN SITU TOPOGRAPHICAL MEASUREMENTS." In 3rd Congress in Geomatics Engineering. Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/cigeo2021.2021.13256.

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Policymakers, stakeholders and rural inhabitants must be aware of the relevance of soil erosion as an irreversible landdegradation process. This is key to achieve the land degradation neutrality challenge and the sustainability of humankindand natural ecosystems. Agricultural areas are being affected by soil erosion threatening soil quality and, subsequently,food security. Therefore, it is necessary to develop new techniques and methods visually friendly and easy to be accessedto survey and assess the soil erosion concerns. ISUM (Improve Stock Unearthing Method) is a well-contrasted proceduret

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Filimonov, Mikhail Yu, and Nataliia A. Vaganova. "Simulation of Thermal Fields in the Permafrost With Seasonal Cooling Devices." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90287.

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A new mathematical model of heat distribution in permafrost soils is considered taking into account different climatic and physical factors. The first group of factors includes consideration of solar radiation, seasonal changes of air temperature, leading to periodic thawing (freezing) of soil, and possible snow layers. The second group of factors is the heterogeneity of the soil, the presence of a number of piles, or foundation structures, seasonal cooling devices. Seasonal cooling devices are vapor-fluid devices consisting of a hermetically sealed and seasoned with coolant, metal pipe with d

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