Academic literature on the topic 'Soil erosion – Mathematical models'
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Journal articles on the topic "Soil erosion – Mathematical models"
Deumlich, D., A. Jha, and G. Kirchner. "Comparing measurements, 7Be radiotracer technique and process-based erosion model for estimating short-term soil loss from cultivated land in Northern Germany." Soil and Water Research 12, No. 3 (June 28, 2017): 177–86. http://dx.doi.org/10.17221/124/2016-swr.
Full textGajic, Grozdana, Nikola Zivanovic, and Luka Vukic. "Indicators and degradation mechanisam of loess soil." Bulletin of the Faculty of Forestry, no. 114 (2016): 45–54. http://dx.doi.org/10.2298/gsf1614045g.
Full textBagarello, Vincenzo, Vito Ferro, and Dennis Flanagan. "Predicting plot soil loss by empirical and process-oriented approaches. A review." Journal of Agricultural Engineering 49, no. 1 (April 5, 2018): 1–18. http://dx.doi.org/10.4081/jae.2018.710.
Full textVysloužilová, Barbora, and Zdeněk Kliment. "Soil Erosion and Sediment Deposition Modelling at the Small Catchment Scale." Geografie 117, no. 2 (2012): 170–91. http://dx.doi.org/10.37040/geografie2012117020170.
Full textSvetlitchnyi, А. A., and A. V. Piatkova. "Spatially distributed GIS-realized mathematical model of rainstorm erosion losses of soil." Journal of Geology, Geography and Geoecology 28, no. 3 (October 10, 2019): 562–71. http://dx.doi.org/10.15421/111953.
Full textGajic, Grozdana. "Parameters of the occurrence of internal erosion processes in salty-sandy soils." Bulletin of the Faculty of Forestry, no. 92 (2005): 15–29. http://dx.doi.org/10.2298/gsf0592015g.
Full textPetrychenko, V., O. Tarariko, and O. Syrotenko. "Space Technologies in Agri-Environmental Monitoring System." Agricultural Science and Practice 1, no. 1 (April 15, 2014): 3–12. http://dx.doi.org/10.15407/agrisp1.01.003.
Full textPickup, G., and VH Chewings. "Mapping and Forecasting Soil Erosion Patterns from Landsat on a Microcomputer-based Image Processing Facility." Rangeland Journal 8, no. 1 (1986): 57. http://dx.doi.org/10.1071/rj9860057.
Full textHRISSANTHOU, V., and A. PSILOVIKOS. "Distributed modeling of soil erosion and sediment transport." Bulletin of the Geological Society of Greece 34, no. 2 (August 1, 2018): 763. http://dx.doi.org/10.12681/bgsg.17354.
Full textSvіtlуchnyi, Oleksandr, and Alla Piatkova. "Problems of spatially distributed quantitative evaluation of soil erosion losses." Visnyk of V.N. Karazin Kharkiv National University, series Geology. Geography. Ecology, no. 56 (June 1, 2022): 184–97. http://dx.doi.org/10.26565/2410-7360-2022-56-13.
Full textDissertations / Theses on the topic "Soil erosion – Mathematical models"
Lopes, Vicente Lucio 1952. "A numerical model of watershed erosion and sediment yield." Diss., The University of Arizona, 1987. http://hdl.handle.net/10150/191125.
Full textZheng, Tingting. "Mathematical modeling of soil erosion by rainfall and shallow overland flow." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/9144.
Full textBarchyn, Thomas Edward, and University of Lethbridge Faculty of Arts and Science. "Field-based aeolian sediment transport threshold measurement : sensors, calculation methods, and standards as a strategy for improving inter-study comparison." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Geography, 2010, 2010. http://hdl.handle.net/10133/2616.
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Navarro, Hernan Ricardo. "Flume Measurements of Erosion Characterstics of Soil at Bridge Foundations in Georgia." Thesis, Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/7267.
Full textSegarra, Eduardo. "A dynamic analysis of the crop productivity impacts of soil erosion: an application to the Piedmont area of Virginia." Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/51930.
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Mengler, Faron. "Gully erosion on rehabilitated bauxite mines." University of Western Australia. School of Earth and Geographical Sciences, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0176.
Full textCox, Christopher 1967. "Watershed master planning for St. Lucia using geographic information systems." Thesis, McGill University, 1997. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27303.
Full textCastro, Luciana Gomes. "Dinâmica da água em terraços de infiltração." Universidade de São Paulo, 2001. http://www.teses.usp.br/teses/disponiveis/11/11140/tde-26062002-145103/.
Full textTerracing is a soil conservation practice that aims to reduce water and soil loss by interception of runoff that occurs when rainfall intensities exceed infiltration capacity. Actually, dimensions of terraces are being determined in an empirical way; however, a more detailed understanding of the physics behind the hydrological functions of terraces would allow an optimized dimensioning of terraces. In this study the infiltration capacity of a level terrace was evaluated by the methods of flux density and water storage, under different management conditions (bare soil, pasture, conventionally tilled maize and zero-tillage maize) on an oxisol with a slope of 0.08 m m-1. In each treatment TDR sensors were installed at three observation points in the middle of the terrace canal (distance between points: 4 m; considered to be repetitions) at the depths of 0.05, 0.10, 0.20, 0.40, 0.60 and 0.80 m. At the same depths, undisturbed soil samples were taken to determine soil density and soil water retention curve. TDR readings were made automatically and a rainfall gauge automatically monitored rainfall intensity. At the end of each rainfall event, soil deposition was measured at 14 locations in the terrace canal in each treatment. During the dry season (July-August), unsaturated hydraulic conductivity was determined at each repetition at the same depths by the instantaneous profile method. The results showed that agricultural management influenced water and soil deposition in the terrace canal and these affected surfaced sealing and infiltration capacity. It was concluded that the high variation usually obtained between repetitions of the hydraulic conductivity determinations makes the detection of small differences between flux densities difficult. Therefore, it showed to be impossible to use flux densities calculated by Darcy-Buckingham equation in the order to prove existence of different infiltration rates in level terraces. This conclusion was reinforced due to the highly variable surface conditions in the terrace canal. A methodology to measure water contents within the depositions in the canal should be developed to increase the precision of water storage estimation. Infiltration rates in the terrace canal cannot be estimated by storage variation alone, due to the important role of drainage and, possibly, ascension of water in the terrace hill. A correct estimate of the infiltration rate in the canal, necessary for its dimensioning, should combine a high number of repetitions with the measurement of water content within the layer of deposits over the terrace canal surface along time.
Galdino, Sérgio. "Estimativa da perda de terra sob pastagens cultivadas em solos arenosos da bacia hidrográfica do alto Taquari - MS/MT." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/256830.
Full textTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agrícola
Made available in DSpace on 2018-08-20T22:57:38Z (GMT). No. of bitstreams: 1 Galdino_Sergio_D.pdf: 11328709 bytes, checksum: e5e5fc6d26b74b20826ad8a8bc4a4cef (MD5) Previous issue date: 2012
Resumo: O assoreamento do rio Taquari constitui grave problema ambiental e socioeconômico do Pantanal Brasileiro e decorre principalmente da erosão acelerada do solo ocupado com pastagens degradadas na parte alta da bacia. Um dos modelos mais utilizado para estimar a perda média anual de solo é a Equação Universal de Perda de Solo (USLE). Novas pesquisas foram realizadas para melhorar as estimativas do modelo, originando a Equação Universal de Perda de Solo Revisada (RUSLE). A principal mudança foi na forma de determinação do fator de uso e manejo do solo (C). Na USLE o fator C é obtido a partir do monitoramento constante da perda de solo em parcelas experimentais durante vários anos, constituindo sério empecilho a sua determinação, principalmente no Brasil. Na RUSLE o fator C para pastagens é estimado mais rapidamente, a partir de levantamentos de parâmetros do solo e da vegetação. O objetivo geral do trabalho foi ajustar os fatores da RUSLE às condições locais da bacia do alto Taquari (BAT) e estimar as taxas de perda de solo por erosão, para posterior estudo de cenários de manejo e identificação das práticas mais protetoras dos solos na bacia. O estudo compreendeu áreas de pastagens cultivadas em solos arenosos da BAT. Os parâmetros necessários para estimativas da razão de perda de solo (SLR) e fator C da RUSLE foram levantados em nove parcelas (pastagens) em duas épocas do ano. Análise da SLR e do fator C identificaram valores de C representativos de pastagem não degradada e com níveis de degradação; baixo/médio e alto. Na espacialização do fator C na BAT utilizou-se o modelo linear de mistura espectral. Para a estimativa das perdas de solo nas áreas de pastagens também foram espacializados os demais fatores da RUSLE. A erosividade das chuvas (Fator R) foi estimada a partir de registros mensais e anuais de precipitação de postos pluviométricos localizados na BAT e entorno. Na estimativa da erodibilidade do solo (Fator K) foram utilizados parâmetros físico-químicos do solo levantados no campo. O fator topográfico (LS da RUSLE) foi obtido empregando algoritmo de contribuição de área a montante e modelo digital de elevação do Banco de Dados Geomorfométricos do Brasil (TOPODATA). O fator de práticas conservacionistas do solo (Fator P) foi considerado unitário na estimativa da perda de solo atual na BAT. Também foram estimadas as perdas de solo para dois cenários futuros de manejo adequado do solo e da pastagem. Resultado evidenciou que os valores do fator C estimados pela RUSLE para pastagens se assemelham àqueles determinados pela USLE. A média da perda de solo nas pastagens da BAT em 2010 foi estimada em 9,638 Mg ha-1 ano-1. O estudo de cenários permitiu uma redução em até 75,97% das taxas de perda de solo por erosão com a implementação de manejo adequado do solo e da pastagem. Conclui-se que a RUSLE apresenta bom potencial de estimativa do fator de uso e cobertura do solo, e que se ajustou bem às condições locais da BAT na estimativa da perda de solo
Abstract: The river siltation Taquari constitutes serious environmental and socioeconomic problem of the Brazilian Pantanal and arises principally from accelerated erosion of land occupied by degraded pastures in the upper basin. One of the models used to estimate the average annual soil loss is the Universal Soil Loss Equation (USLE). New research has been done to improve the model estimates, yielding the Revised Universal Soil Loss Equation (RUSLE). The main change was in the method determines the use and soil management factor (C). With USLE, the C factor is obtained from the constant monitoring of soil loss in plots for several years, constituting serious impediment to their determination, especially in Brazil. With RUSLE, the C factor for pastures is estimated sooner, using surveys of soil parameters and vegetation. The overall goal of this work was to adjust RUSLE factors to upper Taquari basin (UTB) local conditions and to estimate soil loss rates due to erosion, for further management scenarios studies and more protective soil identification practices in the basin. The study included pastures grown on sandy soils of the UTB. The required parameters for soil loss ratio estimates (SLR) and the RUSLE C factor were raised in nine plots (pastures) in two seasons. Further SLR analysis identified C factor values for non-degraded, low, medium and highly degraded pasture levels. C factor spatialization for the UTB used the linear spectral mixture model. To estimate soil loss in grazing areas other RUSLE factors were also spatialized. The rainfall erosivity factor (R) was estimated from records of monthly and annual precipitation of rain gauge stations located in and around the UTB. For soil erodibility (K factor) estimation, physic-chemical soil parameters collected in the area were used. The topographic factor (LS RUSLE) was obtained using algorithm contribution of the upstream area and Brazilian geomorphometric digital elevation model data from TOPODATA. The soil conservation practices factor (P) unit was considered estimating soil loss in the UTB. Two future soil loss scenarios were also estimated. Results showed that the C factor values estimated by RUSLE for pastures resemble those determined by USLE. The average soil loss in the pastures of the UTB in 2010 was estimated at 9.638 Mg ha-1 yr-1. The scenario study allowed for a reduction up to 75.97% in the rates of soil loss due to erosion by implementing proper soil and pasture management. We conclude that the RUSLE estimation shows good potential for land use techniques, which fits well into the UTB local conditions and in the estimation of soil loss
Doutorado
Planejamento e Desenvolvimento Rural Sustentável
Doutor em Engenharia Agrícola
Dissart, Jean-Christophe. "The economics of erosion and sustainable practices : the case of the Saint-Esprit watershed." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0006/MQ44158.pdf.
Full textBooks on the topic "Soil erosion – Mathematical models"
Paris, S. Erosion hazard model: (modified SLEMSA). 2nd ed. [Lilongwe]: Malawi Govt. Ministry of Agriculture, Land Husbandry Branch, 1990.
Find full textForum on Erosion Productivity Impact Estimators (1985 Alexandria, Va.). Forum on Erosion Productivity Impact Estimators. [Washington, D.C.?]: U.S. Dept. of Agriculture, Soil Conservation Service, Assessment and Planning, 1986.
Find full textForum, on Erosion Productivity Impact Estimators (1985 Alexandria Va ). Forum on Erosion Productivity Impact Estimators. [Washington, D.C.?]: U.S. Dept. of Agriculture, Soil Conservation Service, Assessment and Planning, 1986.
Find full textHessel, Rudi. Modelling soil erosion in a small catchment on the Chinese Loess Plateau: Applying LISEM to extreme conditions. Utrecht: Koninklijk Nederlands Aardrijkskundig Genootschap, 2002.
Find full textHebel, Bernd. Validierung numerischer Erosionsmodelle in Einzelhang- und Einzugsgebiet-Dimension. Basel: Geographisches Institut der Universität Basel, 2003.
Find full textMainam, Félix. Modelling soil erodibility in the semiarid zone of Cameroon: Assessment of interrill erodibility parameters for mapping soil erosion hazard by means of GIS techniques in the Gawar area = Modellering van de erosiegevoeligheid van de bodem in het Semi-aride gebied van Kameroen : bepaling van de parameters van vlakte erosie voor het in kaart brengen van het risiko van bodemerosie door middel van GIS technieken in het Gawar gebied. Enschede, the Netherlands: ITC, 1999.
Find full textPingcang, Zhang, and Yang Qinke, eds. Qu yu shui tu liu shi tu rang yin zi yan jiu: Quyu shuitu liushi turang yinzi yanjiu. Beijing: Di zhi chu ban she, 2003.
Find full textKerzhent︠s︡ev, A. S. Modelirovanie ėrozionnykh prot︠s︡essov na territorii malogo vodosbornogo basseĭna. Moskva: Nauka, 2006.
Find full textPutman, John W. The erosion-productivity impact calculator as formulated for the Resource Conservation Act appraisal. [Washington, DC]: U.S. Dept. of Agriculture, Economic Research Service, Natural Resource Economics Division, 1987.
Find full textPutman, John W. The erosion-productivity impact calculator as formulated for the Resource Conservation Act appraisal. [Washington, DC]: U.S. Dept. of Agriculture, Economic Research Service, Natural Resource Economics Division, 1987.
Find full textBook chapters on the topic "Soil erosion – Mathematical models"
Wickenkamp, V., R. Duttmann, and T. Mosimann. "A Multiscale Approach to Predicting Soil Erosion on Cropland Using Empirical and Physically Based Soil Erosion Models in a Geographic Information System." In Soil Erosion, 109–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04295-3_7.
Full textEvans, R. "Field Data and Erosion Models." In Modelling Soil Erosion by Water, 313–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58913-3_23.
Full textLe Bissonnais, Y., D. Fox, and L. M. Bresson. "Incorporating Crusting Processes in Erosion Models." In Modelling Soil Erosion by Water, 237–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58913-3_18.
Full textRose, Calvin W. "Developments in Soil Erosion and Deposition Models." In Advances in Soil Science, 1–63. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4612-5088-3_1.
Full textBotterweg, Peter. "Snowmelt and Frozen Soils in Simulation Models." In Modelling Soil Erosion by Water, 365–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58913-3_27.
Full textNicks, A. D. "The Use of USLE Components in Models." In Modelling Soil Erosion by Water, 377–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58913-3_28.
Full textKirkby, Mike. "Modelling Across Scales: The Medalus Family of Models." In Modelling Soil Erosion by Water, 161–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58913-3_12.
Full textRudra, R. P., W. T. Dickinson, and G. J. Wall. "Problems Regarding the Use of Soil Erosion Models." In Modelling Soil Erosion by Water, 175–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58913-3_13.
Full textBrazier, R. E., C. J. Hutton, A. J. Parsons, and J. Wainwright. "Scaling Soil Erosion Models in Space and Time." In Handbook of Erosion Modelling, 98–116. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781444328455.ch6.
Full textBurt, T. P. "Infiltration for Soil Erosion Models: Some Temporal and Spatial Complications." In Modelling Soil Erosion by Water, 213–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58913-3_16.
Full textConference papers on the topic "Soil erosion – Mathematical models"
Kavka, P. "COMPARISON OF SOIL EROSION RILLS IDENTIFICATION BY MATHEMATICAL MODELS AND AERIAL PHOTOGRAPHS." In 14th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgem2014/b21/s8.066.
Full textZhang, Huayong, and Liming Dai. "Surface Runoff and Its Erosion Energy in a Partially Continuous System: An Ecological Hydraulic Model." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10607.
Full textLiang, Yue, Jiansheng Chen, and Liang Chen. "Mathematical Model for Piping Erosion Based on Fluid-Solid Interaction and Soils Structure." In GeoHunan International Conference 2011. Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/47628(407)14.
Full textSalsabilla, A., and E. Kusratmoko. "Assessment of soil erosion risk in Komering watershed, South Sumatera, using SWAT model." In INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES 2016 (ISCPMS 2016): Proceedings of the 2nd International Symposium on Current Progress in Mathematics and Sciences 2016. Author(s), 2017. http://dx.doi.org/10.1063/1.4991296.
Full textKavka, Petr. "SOIL EROSION MODELING IN CZECH REPUBLIC - COMPUTER MODELS IN VARIOUS SCALES." In 13th SGEM GeoConference on WATER RESOURCES. FOREST, MARINE AND OCEAN ECOSYSTEMS. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bc3/s13.026.
Full textRamzi, A. A., A. W. Ayu, A. A. Mohm, R. M. Fahmi, and O. M. Ibrahim. "Application of experimental soil erosion models (USLE, RUSLE) in Jordan: A review." In 3RD ELECTRONIC AND GREEN MATERIALS INTERNATIONAL CONFERENCE 2017 (EGM 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5002303.
Full textPease, Leonard F., Arich J. L. Fuher, Judith Ann Bamberger, and Michael J. Minette. "A Test of Steady State Erosion Models." In ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/fedsm2018-83392.
Full textKhanina, L. G., M. V. Bobrovsky, V. E. Smirnov, K. V. Ivashchenko, A. I. Zhuravleva, and I. V. Zhmaylov. "Comparison of Effects in Linear Models of Soil Variables after a Catastrophic Windthrow in a Quercus Mesic Deciduous Forest." In Mathematical Biology and Bioinformatics. Pushchino: IMPB RAS - Branch of KIAM RAS, 2020. http://dx.doi.org/10.17537/icmbb20.34.
Full textMaarof, Fauziah, Mohd Adi Faiz Ahmad Fauzi, and Shamsiah Mohamed. "Statistical models related to accumulated biomass of Hopea odorata in three soil series of ultisols." In PROCEEDINGS OF THE 21ST NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM21): Germination of Mathematical Sciences Education and Research towards Global Sustainability. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4887703.
Full textCasesnoves, Francisco, Maksim Antonov, and Priit Kulu. "Mathematical models for erosion and corrosion in power plants. A review of applicable modelling optimization techniques." In 2016 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE, 2016. http://dx.doi.org/10.1109/rtucon.2016.7763117.
Full textReports on the topic "Soil erosion – Mathematical models"
Ziegler, Nancy, Nicholas Webb, Adrian Chappell, and Sandra LeGrand. Scale invariance of albedo-based wind friction velocity. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40499.
Full textAgassi, Menahem, Michael J. Singer, Eyal Ben-Dor, Naftaly Goldshleger, Donald Rundquist, Dan Blumberg, and Yoram Benyamini. Developing Remote Sensing Based-Techniques for the Evaluation of Soil Infiltration Rate and Surface Roughness. United States Department of Agriculture, November 2001. http://dx.doi.org/10.32747/2001.7586479.bard.
Full textClausen, Jay, Christopher Felt, Michael Musty, Vuong Truong, Susan Frankenstein, Anna Wagner, Rosa Affleck, Steven Peckham, and Christopher Williams. Modernizing environmental signature physics for target detection—Phase 3. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43442.
Full textLieth, J. Heiner, Michael Raviv, and David W. Burger. Effects of root zone temperature, oxygen concentration, and moisture content on actual vs. potential growth of greenhouse crops. United States Department of Agriculture, January 2006. http://dx.doi.org/10.32747/2006.7586547.bard.
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