Academic literature on the topic 'USLE Universal soil loss equation'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'USLE Universal soil loss equation.'
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.
Journal articles on the topic "USLE Universal soil loss equation":
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 (December 9, 2021): 3517. http://dx.doi.org/10.3390/w13243517.
Erol, A., Ö. Koşkan, and M. A. Başaran. "Socioeconomic modifications of the universal soil loss equation." Solid Earth 6, no. 3 (August 28, 2015): 1025–35. http://dx.doi.org/10.5194/se-6-1025-2015.
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 (November 27, 2018): 6059–86. http://dx.doi.org/10.5194/hess-22-6059-2018.
Erol, A., Ö. Koşkan, and M. A. Başaran. "Socio-economic modifications of the Universal Soil Loss Equation." Solid Earth Discussions 7, no. 2 (June 15, 2015): 1731–59. http://dx.doi.org/10.5194/sed-7-1731-2015.
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.
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 (October 4, 2022): 126. http://dx.doi.org/10.3390/environments9100126.
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 (December 1, 2017): 191–98. http://dx.doi.org/10.1515/ats-2017-0020.
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.
Erskine, Wayne D., A. Mahmoudzadeh, C. M. Browning, and C. Myers. "Sediment yields and soil loss rates from different land uses on Triassic shales in western Sydney, NSW." Soil Research 41, no. 1 (2003): 127. http://dx.doi.org/10.1071/sr01078.
Karyadinata Putra, Abdurrohim. "PEMETAAN KAWASAN RAWAN EROSI MENGGUNAKAN METODE USLE (UNIVERSAL SOIL LOSS EQUATION)." Jurnal ARTESIS 1, no. 1 (May 25, 2021): 88–95. http://dx.doi.org/10.35814/artesis.v1i1.2871.
Dissertations / Theses on the topic "USLE Universal soil loss equation":
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.
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.
Ferreira, Edi Carlos. "Mapeamento e análise da suscetibilidade à erosão pluvial na Unidade de Gerenciamento dos Recursos Hídricos do rio Aguapeí (UGRHI 20), no Estado de São Paulo, Brasil /." Presidente Prudente, 2019. http://hdl.handle.net/11449/191149.
Resumo: O presente trabalho tem como objetivo principal analisar a suscetibilidade aos processos erosivos laminares e lineares, identificando áreas mais críticas e seus impactos sobre os recursos hídricos na Unidade de Gerenciamento de Recursos Hídricos da Bacia Hidrográfica do Rio Aguapeí (UGRHI-20), localizada no oeste do Estado de São Paulo. Para determinar a suscetibilidade à erosão laminar utilizou-se a Equação Universal de Perda de Solo (EUPS), desenvolvida por Wischmeier e Smith (1976). Para a suscetibilidade à erosão linear utilizou-se a metodologia de Fragilidade Ambiental proposta por Ross (1994). Os resultados mostraram que na UGRHI-20, as estimativas de perda de solo por erosão laminar estão muito acima do recomendado pela FAO (1965) e por Wischmeier & Smith (1978), pois 73% da área se enquadra na classe indicativa “Alta” com valores entre 50 – 200 t.ha-1 ano -1. Em relação à erosão linear, a condição da UGRHI-20 é considerada crítica, pois apresenta 57% de sua área nível de fragilidade emergente forte. Diante de tais resultados, espera-se que esse trabalho possa subsidiar o planejamento ambiental desta bacia hidrográfica pelo poder público e principalmente por órgãos gestores. Para isso, serão entregues exemplares desse trabalho em meio digital para o Comitê de Bacias Hidrográficas dos Rios Aguapeí e Peixe (CBH-AP).
Abstract: The present work has as main objective to analyze the susceptibility to laminar and linear erosive processes, identifying the most critical areas and their impacts on water resources at the Aguapeí River Basin Water Resources Management Unit (UGRHI 20), located in the west of São Paulo. To determine susceptibility to laminar erosion, The Universal Soil Loss Equation (USLE) developed by Wischmeier and Smith (1976) was used. For susceptibility to linear erosion, the Environmental Fragility methodology proposed by Ross (1994) was used. The results showed that in the UGRHI-20 laminar erosion soil loss estimates are far above those recommended by FAO (1965) and Wischmeier & Smith (1978), as 73% of the area falls under the “High” indicative class with values between 50 – 200 t.ha-1year-1. Regarding linear erosion, the condition of UGRHI-20 is considered critical, as it presents 57% of its area strong emerging fragility level. Given these results, it is hoped that this work can subsidize the environmental planning of this watershed by the government and especially by management agencies. To this end, copies of this work will be delivered digitally to the Aguapeí and Peixe River Watershed Committee (CBH-AP).
Mestre
Maranhão, Karinna Ugulino de Araújo. "Zoneamento ambiental do município de Monteiro-PB." Universidade Federal da Paraíba, 2014. http://tede.biblioteca.ufpb.br:8080/handle/tede/7681.
Made available in DSpace on 2016-01-05T11:42:13Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 9083735 bytes, checksum: 38931cb14eb92588b2dd5f4223417162 (MD5) Previous issue date: 2014-09-26
The objective is to evaluate the environmental fragility and guidelines for environmental zoning (EZ) using geospatial analyses techniques in the Monteiro County, Paraíba State. The purpose of this study was to evaluate two different environmental fragility methodologies to use the results to develop environmental zone classes within Brazilian semiarid region. The two methodologies used in this study were: (a) original purpose developed by Crepani et. al. (2008) and adapted to the local reality, in which it was analyzed the vulnerability to soil loss, its use and occupation, and the Permanent Preservation Areas (PPAs); (b) adopted purpose of Crepani et. al. (2008), that instead of using the map of soil loss vulnerability, it was used the estimation of soil loss achieved from the Universal Soil Loss Equation (USLE). The map of soil loss vulnerability was achieved by algebra of maps related to the following themes: Geology, Geomorphology, Pedology, Land Use Cover, and Climatology. The estimative map of soil losses, using USLE, was achieved from the factors of rainfall erosivity, soil erodibility, topographic and management, and conservation practices. As a result, two EZ maps were achieved. In both cases were identified ten types of indicated use, having one of them presented a higher percentage of Environmental Control area, which demands maintenance of both the existent vegetal cover and the quality of hydric sources; while another map has presented a higher percentage of Priority Preservation Area, which presents areas covered by vegetation of dense and preserved forest, but with high erosion degree. This research not only shows the city areas of higher environmental vulnerability, but also proves the importance of EZ to the control of soil use and occupation in an orderly and planned way. It is, then, government duty to elaborate, based on this study, its law to ordainment of territory. From this research it is possible to deepen the studies to create the Ecological-Economic Zoning (EEZ), which is concerned not only with the preservation, rehabilitation and recovery of environmental quality, but also with the social and economic development.
Objetivou-se avaliar a fragilidade ambiental e diretrizes para o Zoneamento Ambiental (ZA) utilizando técnicas de análises geoespaciais para o município de Monteiro, localizado no Estado da Paraíba. A proposta desse estudo foi aplicar duas metodologias diferentes para avaliar a fragilidade ambiental e usar os resultados para criar classes de zonas ambientais em uma porção semiárida da região Nordeste do Brasil. As duas metodologias utilizadas foram: (a) proposta original de Crepani et al. (2008) e adaptada à realidade local, em que foi analisada a vulnerabilidade à perda de solo, o seu uso e ocupação, e as Áreas de Preservação Permanente (APPs); e (b) proposta adaptada de Crepani et al. (2008), que ao invés de utilizar o mapa de vulnerabilidade à perda de solo, utilizou-se a estimativa de perda de solo gerada a partir da Equação Universal de Perda de Solo (EUPS). O mapa de vulnerabilidade à perda de solo foi adquirido por álgebra de mapas relacionados aos temas: Geologia, Geomorfologia, Pedologia, Cobertura Vegetal e Uso da Terra e Climatologia. O mapa de estimativa das perdas de solo, utilizando EUPS, foi gerado a partir dos fatores de erosividade das chuvas, erodibilidade do solo, comprimento de rampa e declividade, uso e manejo e práticas conservacionistas. Como resultado, foi obtido dois mapas de ZA. Em ambos os casos, foram identificadas dez classes de uso indicado, tendo um apresentado maior percentual de área de Controle Ambiental, que requer manutenção da cobertura vegetal existente e da qualidade dos recursos hídricos, e outro apresentou maior percentual de Área de Preservação Prioritária, que apresenta áreas cobertas por vegetação de mata densa e preservada, porém com alto grau de erosão. Essa pesquisa mostra as áreas de maior fragilidade ambiental do município, além de comprovar a importância do ZA para o controle do uso e ocupação do solo de forma ordenada e planejada. Cabe, portanto, ao órgão municipal elaborar, baseado nesse estudo, sua legislação para ordenamento do território. A partir dessa pesquisa é possível aprofundar os estudos para gerar o Zoneamento Ecológico-Econômico (ZEE), onde, além das preocupações com a preservação, reabilitação e recuperação da qualidade ambiental, passa-se a uma maior preocupação com o desenvolvimento econômico e social.
Hosseinzadeh, Atiyeh. "Evaluation d'un modèle à base physique pour l'estimation des flux de sédiments lors des crues soudaines." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEP025.
This study evaluates the performance of a physically-based, distributed hydrological model, called MARINE, for simulating suspended sediment transport during flash floods at the catchment scale. Intense flash floods can induce significant soil erosion and sediment transport, leading to long-lasting soil loss. MARINE takes into account the spatial variability of catchment characteristics and precipitation. The study was carried out on two small catchments in southern France, La Claduègne in Ardèche (42.3 km²) and Auradé in Gers (3.28 km²). MARINE uses a mean-flow advection equation to simulate the spatio-temporal evolution of non-cohesive suspended sediment concentration, taking into account source terms representing raindrop erosion and shear stress erosion.The study examines the impact of various parameters on the simulation of suspended sediment concentration during flash floods in these catchments, including (i) the median diameter of sediment particles, (ii) the location of the interface between bed load and suspended load, (iii) the soil sensitivity coefficient to shear stress erosion, (iv) the soil sensitivity coefficient to raindrop erosion. The results of the sensitivity analyses applied to selected flash flood events highlight the model's sensitivity to two key parameters for both catchments: the soil sensitivity coefficient to shear stress erosion and the median sediment particle diameter. Thanks to the sensitivity analysis of the model parameters, the simulations led to the classification of floods into two categories: those dominated by raindrop erosion and those dominated by shear stress erosion. Analysis of the results also highlights the need to take into account the spatial variability of soil sensitivity to erosion, in particular by identifying the location of potential sources of sediment.To assess the model's performance in estimating erosion, the results for the Claduègne catchment are compared with two widely used empirical models derived from the Universal Soil Loss Equation (USLE), namely RUSLE and MUSLE. To compare the three models with MARINE as a reference, a sensitivity analysis is carried out on the land-use factor involved in MUSLE and RUSLE. Although the erosion simulated by the three methods is generally comparable, variations appear for events dominated by raindrop erosion, suggesting the need for further research to improve raindrop erosion modeling within the MARINE model.MARINE model simulations also offer the possibility of generating erosion/deposition hazard maps which, combined with a vulnerability map, can be useful to environmental decision-makers and planners in identifying areas at risk from erosion and deposition
Gomes, Márcia da Silva. "Avaliação da degradação do solo através da dinâmica da matéria orgânica, na micro bacia do Arroio Morungava, Gravataí, RS." Universidade do Vale do Rio dos Sinos, 2009. http://www.repositorio.jesuita.org.br/handle/UNISINOS/3345.
Made available in DSpace on 2015-04-23T20:17:19Z (GMT). No. of bitstreams: 1 MarciaGomesGeologia.pdf: 3212123 bytes, checksum: 2a235d35b0c87594b8e37e68a2ffd53b (MD5) Previous issue date: 2009-09-15
Nenhuma
A degradação dos solos é um dos principais problemas relacionados ao desenvolvimento sustentável, e um dos grandes desafios a serem enfrentados já neste século. A ação do homem no planejamento e desenvolvimento da ocupação do espaço na Terra requer cada vez mais uma visão ampla sobre as necessidades da população, os recursos terrestres e aquáticos disponíveis e o conhecimento sobre o comportamento dos processos naturais, para racionalmente compatibilizar necessidades crescentes com recursos limitados. A crescente degradação do solo sob exploração agrícola em todo o mundo despertou nos últimos anos uma preocupação com a qualidade do solo e a sustentabilidade da produção agrícola. A matéria orgânica do solo é um fator relevante na qualidade deste, sendo uma fonte de energia, de carbono e doadora de elétrons da grande maioria dos organismos, o que evidencia sua importância para a biota desempenhar suas funções no sentido de promover as propriedades do solo. O objetivo deste trabalho é avaliar a degradação do solo na microbacia do arroio Morungava, com uso da Equação Universal de Perda de Solo (EUPS), através de análise da variação temporal da matéria orgânica nos horizontes superficiais, em solos Hidromórficos e Argissolos, sob práticas de cultivo em diferentes períodos de uso (18 meses de cultivo; 10 anos de cultivo; 15 anos de cultivo e mais de 30 anos de cultivo), utilizando áreas de mata nativa como referência. Em condições naturais os argissolos mostram um aumento de matéria orgânica (MO) com a profundidade. Nos horizontes superficiais dos solos cultivados analisados observa-se perda de MO por erosão e oxidação superficial, com pouca translocação vertical. Neste caso, a erosão superficial acelerada antropicamente, faz com que o Horizonte B dos argissolos fique próximo a superfície, eventualmente exposto, com o passar do tempo. Já os solos hidromórficos verificam-se grandes perdas iniciais com a retirada de matas nativas, o que pode ser em parte atribuído à oxidação acelerada da MO, devido às mudanças ambientais. Para os solos hidromórficos com mais de 15 anos de uso, verifica-se um comportamento inverso, ocorrendo um significativo aumento superficial da MO, o que pode ser devido ao aporte de MO originado dos argissolos adjacentes. Assim, as planícies aluvionares, para tempos de uso superiores há 15 anos, devem provavelmente atuar como zonas de acumulação de MO na bacia hidrográfica. Há um provável processo menos intenso de translocação vertical, o qual é observado nos primeiros 10 anos de uso dos hidromórficos. Quanto à avaliação espacial de perda de MO observa-se taxas com variação de 0 até 239,15 t ha¯¹ ano¯¹ com o uso do solo atual. Assim, 54,12 % da área apresentam taxas de perda de MO entre 0 a 0,5 t ha¯¹ ano¯¹ 42,21 % variam de 0,5 a 5 t ha¯¹ ano¯¹e os demais 3,67 % de área apresentam perdas de MO acima de 5 t ha¯¹ ano¯¹. Em um cenário onde a legislação ambiental (Código Florestal Federal - Lei 4.771 de 1965 e Código Florestal Estadual - Lei 9.519 de 1992) é cumprida, com reflorestamento nas Áreas de Preservação Permanente ? APPs, referente às encostas com declividade acima de 45º e faixas de 30 metros de cada lado, ao longo dos cursos d´água, observa-se 62,17 % da área com taxas de perda de MO entre 0 a 0,5 t ha¯¹ ano¯¹, 36,86 % variam de 0,5 a 5 t ha¯¹ ano¯¹e os demais 0,97 % de área apresentam perdas de MO acima de 5 t ha¯¹ ano¯¹, chegando a atingir 37,28 t ha¯¹ ano¯¹em alguns pontos. Para um cenário onde a faixa de preservação é de apenas 5 metros de cada lado, ao longo dos cursos d´águas, de acordo com a legislação ambiental do Estado de Santa Catarina (Art. 114 da Lei Estadual 14.675, de 13 abril de 2009), observa-se que as taxas de perda de MO aumentam. No cenário anterior as perdas acima de 5 t ha¯¹ ano¯¹, atingem apenas 0,97% do total da área. Aplicando a legislação do Estado de Santa Catarina, as taxas de perda acima de 5 t ha¯¹ ano¯¹, atingem 1,03 % do total da área. As taxas baixas de perda de MO (abaixo de 0,5 t ha¯¹ ano¯¹) para o cenário de 30 metros de preservação chegam a 62,17% da área. Já no cenário com faixa de preservação de apenas 5 metros, as taxas baixas de perda de MO chegam a 53,16% da área. Apesar de ser uma diferença pequena de taxas de perda de MO, estas taxas apresentadas comprovam que a diminuição das faixas de preservação de 30 metros para cinco metros, acarretará em prejuízos ao meio ambiente. Em um cenário onde toda a faixa de preservação de 30 metros de cada lado, ao longo dos cursos d´água, é retirada, as taxas de perda de MO variam de 0 até 239,15 t ha¯¹ ano¯¹. Neste caso 53,16 % da área apresenta taxas de perda de MO entre 0 a 0,5 t ha¯¹ ano¯¹, 43,02 % variam de 0,5 a 5 t ha¯¹ ano¯¹ e 3,82 % de área apresentam perdas de MO acima de 5 t ha¯¹ ano¯¹, chegando a atingir 239,15 t ha¯¹ ano¯¹ em alguns pontos. Essas taxas de perda são equivalentes ao uso do solo atual da área. Isto ocorre pelo fato da microbacia do arroio Morungava apresentar grandes extensões de faixa de preservação ao longo desses cursos d´água, totalmente desmatadas. O cenário criado para desmatamento de 30 metros é semelhante à situação real da área. A partir dos resultados obtidos das coletas de campo e dados gerados em laboratório, conclui-se que a micro bacia do arroio Morungava está sofrendo processo erosivo acelerado com o decorrer dos anos, principalmente em zonas de maior declividade, onde predominam os argissolos. Já os solos em posição fisiográficas com baixa erosão potencial superficial, como os hidromórficos, atuam como zonas de acumulação de sedimentos e matéria orgânica. Verifica-se uma variação ampla nas taxas de perda de MO com o uso do solo atual, com teores elevados nas áreas com maior declividade. Estes teores, de acordo com cenários gerados de reflorestamento, podem diminuir com o cumprimento da legislação ambiental. Assim pode-se afirmar que a EUPS foi fundamental para avaliar a perda de matéria orgânica na microbacia.
Soil degradation is one of the main concerns regarding sustainable development, and one of the challenges to be faced on this century. Mankind actions on planning and development of Earth occupation, needs more and more a broader view of population needs, available terrestrial and hydric resources and knowledge over natural processes behavior, to rationally conciliate growing needs with limited resources. The worldwide growing soil degradation due to agricultural exploitation, over the last years awoke a concern with soil quality and agricultural production sustainability. The soil organic matter is a relevant factor for its quality, being energy and Carbone source and an electron donator to most organisms, which only shows how it is important to biota?s functions and promote soil proprieties. The objective of this study is to evaluate the soil degradation at the micro basin of the Morungava stream, using the Universal Soil Loss Equation (USLE), through temporal variation analysis of organic matter on superficial horizons, on hydromorphic and argillaceous soils, under cultivation on different usage periods (18 months of cultivation, 10 years of cultivation, 15 years of cultivation and more than 30 years of cultivation), utilizing areas of native forest as reference. In natural conditions argillaceous soils show an increase in organic matter (OM) as it deepens. On the analyzed cultivated soils superficial horizons, was observed a loss of OM due to erosion and superficial oxidation, with low vertical translocation. In this case, the superficial erosion hasten by anthropic influence, causes the B horizon of argillaceous soils to be near the surface, eventually exposed with time. On the hydromorphic soils, there are big initial losses with the removal of native forests, which can be in part caused by hasten oxidation of OM due to environmental changes. To hydromorphic soils with more than 15 years of usage, a inverse behavior is observed, occurring a significant increase of superficial OM, which can be due to the arrive of OM from the adjacent argillaceous soils. So, the alluvial plains, to usage periods greater than 15 years, probably act as OM accumulation zones on the basin. There is a probable process less intense of vertical translocation, which is observed during the first 10 years of hydromorphic soil usage. As for the spatial evaluation of OM loss, its observed with variation from 0 to 239,15 t.ha¯¹.year¯¹ with current soil usage. This way, 54,12% of the area presents OM loss rate between 0 and 0,5 t.ha¯¹.year¯¹, 42,21% varies from 0,5 to 5 t.ha¯¹.year¯¹, and the remaining 3,67% of the area show OM losses superior to 5 t.ha¯¹.year¯¹. In a scenery where the environmental legislation (Federal Forest Code ? Law 4.771 of 1965 and State Forest Code ? Law 9.519 of 1992) is followed, with reforesting of Permanent Preservation Areas (APPs), referring to acclivity superior to 45° and a 30 meters preservation band from the margins of any watercourse, is observed that 62,17% of the area have a OM loss rate between 0 and 0,5 t.ha¯¹.year¯¹, 36,86% varies from 0,5 to 5 t.ha¯¹.year¯¹ and the remaining 0,97% have a OM loss rate superior to 5 t.ha¯¹.year¯¹, peaking 37,28 t.ha¯¹.year¯¹ at some points. In a scenery where the preservation band is only 5 meters from the margin of watercourses, in accordance with the environmental legislation of Santa Catarina state (Art.114 State Law 14.675 from 2009, April 13), its observed an increase in the OM loss Rates. If in the previous scenery the OM losses over 5 t.ha¯¹.ano¯¹, were only 0,97% of total area, applying the Santa Catarina State Law, the OM losses over 5 t.ha¯¹.ano¯¹, are 1,03% of total area. The low OM loss rates (under 0,5 t.ha¯¹.ano¯¹,) on the 30 meters preservation scenery were 62,17% of the area, applying the Santa Catarina state 5 meters preservation scenery it drops to 53,16% of the area. Even if it is a small difference on OM loss rates, these rates testify that the reduction of the preservation bands will incur in harm to the environment. In a scenery where all the preservation band is removed along the watercourses, the OM loss rates varies from 0 to 239,15 t.ha¯¹.year¯¹. In which case 53,16% of the area presents OM loss rates from 0 to 0,5 t.ha¯¹.year¯¹, 43,02% varies from 0,5 to 5 t.ha¯¹.year¯¹ and 3,82% of the area show OM losses over 5 t.ha¯¹.year¯¹, peaking 239,15 t.ha¯¹.year¯¹ at some points. Those loss rates are equivalent to those of the current soil usage in this area. This is due to the fact that the micro basin of the Morungava stream presents great extensions of preservation bands along its watercourses totally depleted. The scenery created with no preservation band is similar to the current situation of the area. From the gotten results of the collections of field and data generated in laboratory, one concludes that the micro basin of the Morungava stream is suffering sped up erosive process with elapsing of the years, mainly in zones of bigger declivity, where the argissolos predominate. Already the ground in position fisiográficas with low superficial potential erosion, as the hidromórficos, act as zones of accumulation of sediments and organic matter. An ample variation in the taxes of loss ME with the use of the ground is verified current, with texts raised in the areas with bigger declivity. These texts, scenes in accordance with generated of reforestation, can diminish with the fulfilment of the ambient legislation. Thus it can be affirmed that the EUPS was basic to evaluate the loss of organic matter in the micron basin.
Martin, Paulo Sérgio. "Determinação do potencial de perda de solo através do Sistema de Informação Geográfica (SIG) para priorização de estradas rurais no município de Ouro Verde/SP." Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/154515.
Approved for entry into archive by ALESSANDRA KUBA OSHIRO ASSUNÇÃO (alessandra@fct.unesp.br) on 2018-07-16T12:21:43Z (GMT) No. of bitstreams: 1 martin_ps_me_prud.pdf: 5079449 bytes, checksum: 5b99661ef6b9e4b120ee8a099ee40004 (MD5)
Made available in DSpace on 2018-07-16T12:21:43Z (GMT). No. of bitstreams: 1 martin_ps_me_prud.pdf: 5079449 bytes, checksum: 5b99661ef6b9e4b120ee8a099ee40004 (MD5) Previous issue date: 2018-06-04
Neste presente trabalho buscou-se identificar as diversas variáveis do potencial de perda de solo no município de Ouro Verde/SP, considerando como parâmetro a classificação de solos, geologia, relevo, precipitação pluvial, o uso e ocupação da terra, as práticas de manejo conservacionista, mapeando as áreas com potencial de erosão laminar dos solos e o cruzamento das informações com a situação atual das estradas rurais não pavimentadas. As estradas não pavimentadas foram classificadas em trechos-tipos, destacando-se algumas características importantes, como altura de barranco, se está “encaixada”. O uso do MDE (Modelo Digital de Elevação) possibilitou a representação do relevo da superfície terrestre e com os dados vetoriais do município de Ouro Verde, baixados através do site do IBGE, foi possível a interpretação visual da área de estudo, analisadas através das imagens do satélite Sentinel-2. O objetivo foi identificar as estradas rurais ou trechos prioritários para readequação, através do Sistema de Informação Geográfica (SIG), com mapeamento das áreas do município e realizando o cruzamento de informações e, aplicação da Equação Universal de Perdas de Solo (USLE) e do programa InVEST®, estimando perdas de solo por erosão laminar. Servir de orientação para os gestores públicos (Prefeitura Municipal e FEHIDRO) na análise e tomada de decisão. Para determinação do Fator R para o município de Ouro Verde, a precipitação pluvial foi analisada através de uma série histórica, fornecida pelo Escritório de Desenvolvimento Rural de Dracena. Para determinação dos valores do fator R para os demais municípios que compõem as Unidades de Gerenciamento de Recursos Hídricos 20 e 21, utilizou-se o software livre netErosividade SP. Para realização da priorização dos trechos críticos das estradas, foram utilizados os parâmetros (estruturas e situações), adaptado do Projeto de Desenvolvimento Rural Sustentável – Microbacias Hidrográficas II – Acesso ao mercado, obtendo-se o enquadramento das Classes de priorização. O programa InVEST® possibilitou explorar cenários com resultados futuros prováveis, e assim foram gerados os diversos mapas de potencialidade de erosão para o município de Ouro Verde: Mapa de Susceptibilidade à Erosão Laminar, Mapa do Potencial à Erosão, Mapa do Potencial de Erosão Laminar Total por Microbacias Hidrográficas e Mapa final de Priorização das Estradas Não Pavimentadas. Obteve-se o Mapa Final de Priorização utilizando alguns parâmetros, mas é possível cruzar tantas informações quanto forem necessárias, subjetivas e objetivas, e assim chegar no objetivo, que é a priorização de trechos críticos de Estradas Rurais Não Pavimentadas.
This work aimed to identify the various variables of soil loss potential in the municipality of Ouro Verde / SP, considering as a parameter the classification of soils, geology, relief, rainfall, land use and occupation, management practices conservationist, mapping the areas with potential of laminar erosion of the soils and the crossing of the information with the current situation of the unpaved rural roads. Unpaved roads have been classified into parts-types, highlighting some important characteristics, such as height of ravine, if it is "docked". The use of the MDE (Digital Elevation Model) made possible the representation of the land surface and the vectorial data of the municipality of Ouro Verde, downloaded through the IBGE website, it was possible the visual interpretation of the study area, analyzed through the images of the Sentinel-2 satellite. The objective was to identify the rural roads or priority stretches for readjustment, through the Geographic Information System (GIS), with mapping of the areas of the municipality and carrying out the information crossing and, applying the Universal Soil Loss Equation (USLE) and the InVEST® program, estimating soil losses due to laminar erosion. To serve as guidance for public managers (City Hall and FEHIDRO) in the analysis and decision making. To determine the R factor for the municipality of Ouro Verde, rainfall was analyzed through a historical series, provided by the Office of Rural Development of Dracena. To determine the R factor values for the other municipalities that make up the Water Resources Management Units 20 and 21, the free software netErosividade SP was used. For the prioritization of the critical stretches of the roads, the parameters (structures and situations), adapted from the Sustainable Rural Development Project - Hydrographic Microbasins II - Access to the market, were used to obtain the prioritization classes. The InVEST® program made it possible to explore scenarios with probable future results, thus generating the various erosion potential maps for the municipality of Ouro Verde: Laminar Erosion Susceptibility Map, Erosion Potential Map, Total Laminar Erosion Potential Map by Hydrographic Microbasins and Final Map of Prioritization of Non-Paved Roads. The final Prioritization Map was obtained using some parameters, but it is possible to cross as much information as necessary, subjective and objective, and thus reach the objective, which is the prioritization of critical sections of Non-Paved Rural Roads.
Sabo, Rudolf. "Studie návrhu opatření proti nepříznivým účinkům povrchového odtoku v k.ú. Štefanov." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2012. http://www.nusl.cz/ntk/nusl-225492.
Gericke, Andreas. "Evaluation of empirical approaches to estimate the variability of erosive inputs in river catchments." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2013. http://dx.doi.org/10.18452/16861.
This dissertation thesis addresses the uncertainty, sensitivity and limitations of large-scale erosion models. The modelling framework consists of the universal soil loss equation (USLE), sediment delivery ratios (SDR) and European data. For several European regions, the relevance of the uncertainty in topographic model parameters, USLE factors and critical yields of suspended solids for the applicability of empirical models to predict sediment yields and SDR of river catchments is systematically evaluated. The comparison of alternative model parameters as well as calibration and validation data shows that even basic modelling decisions are associated with great uncertainties. Consequently, calibrated models have to be well-documented to avoid misapplication. Although careful choices of non-topographic algorithms can also be helpful to improve the model quality in regional applications, there is no definitive universal solution. The results also show that SDR models should always be calibrated and evaluated against sediment yields and SDR. With this approach, a new European soil loss map and an improved SDR model for river catchments north of the Alps and in Southeast Europe are derived. For other parts of Europe, the SDR model is of limited use. The studies on the annual variability of soil erosion reveal that seasonally weighted rainfall data is more appropriate than unweighted data. Despite satisfactory model results, neither the careful algorithm choice nor model improvements overcome the limitations of pan-European SDR models. These limitations are related to the mismatch of modelled soil loss processes and the relevant processes contributing to the observed or critical sediment load as well as the extraordinary sediment mobilisation during floods. Therefore, further research on integrating non-USLE processes and heavy-rainfall data as well as on disaggregating critical yields is needed.
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/.
Books on the topic "USLE Universal soil loss equation":
Thomas, A. W. Computer program for stochastic utilization of the USLE. Watkinsville, GA: Southern Piedmont Conservation Research Center, Agricultural Research Service, USDA, 1989.
Kesteren, A. R. Van. Universal soil loss equation (USLE) soil erodibility (K) factors for some common forest types of western Newfoundland. St. John's, Nfld: Canadian Forest Service, Newfoundland and Labrador Region, 1994.
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. Kwaluseni, Swaziland: Social Science Research Unit and Research and Publications, University of Swaziland, 1986.
Marx, Johannes. Die Erodierbarkeit charakteristischer Böden im Südosten der VR China. Berlin: In Kommission bei Duncker & Humblot, 1988.
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). Washington, D.C: United States Department of Agriculture [for sale by the U.S. Government printing Office, 1997.
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. [Ottawa]: Research Branch, Agriculture Canada, 1989.
Wiesner, Klaus Peter. 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. Heidelberg: Im Selbstverlag des Geographischen Institutes der Universität Heidelberg, 1986.
Blaszczynski, Jacek S. Watershed soil erosion, runoff, and sediment yield prediction using geographic information systems: A manual of GIS procedures. Denver, Colo: U.S. Dept. of the Interior, Bureau of Land Management, BLM Service Center, 1994.
Potensi laju erosi di DAS Tondano Hulu: Suatu analisis menggunakan metode universal soil loss equation (USLE) dengan memanfaatkan teknologi sistem informasi geografis (SIG) = Erosion potential at Tondano Upper Watershed : an analysis using universal soil loss equation (USLE) in geographical information system (GIS) technology. Jakarta: Program Studi Ilmu Lingkungan, Program Pascasarjana, 2001.
U S Department of Agriculture Soil C. Predicting Soil Loss Using the Universal Soil Loss Equation. Creative Media Partners, LLC, 2022.
Book chapters on the topic "USLE Universal soil loss equation":
LaRocque, Armand. "Universal Soil Loss Equation (USLE)." In Encyclopedia of Natural Hazards, 1062. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-1-4020-4399-4_43.
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, 135–67. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781444328455.ch8.
Browning, George M. "Development for and of the Universal Soil Loss Equation." In Universal Soil Loss Equation, 1–5. Madison, WI, USA: Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub8.c1.
Robinson, A. R. "Sediment Yield as a Function of Upstream Erosion." In Universal Soil Loss Equation, 7–16. Madison, WI, USA: Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub8.c2.
Foster, G. R. "Sediment Yield from Farm Fields: The Universal Soil Loss Equation and Onfarm 208 Plan Implementation." In Universal Soil Loss Equation, 17–24. Madison, WI, USA: Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub8.c3.
Onstad, C. A., R. A. Young, M. A. Otterby, and R. F. Holt. "Sediment Yield Modeling for 208 Planning." In Universal Soil Loss Equation, 25–32. Madison, WI, USA: Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub8.c4.
Moldenhauer, W. C. "Erosion Control Obtainable under Conservation Practices." In Universal Soil Loss Equation, 33–43. Madison, WI, USA: Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub8.c5.
Holt, R. F., D. R. Timmons, and R. E. Burwell. "Water Quality Obtainable under Conservation Practices." In Universal Soil Loss Equation, 45–53. Madison, WI, USA: Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub8.c6.
Thapa, Pawan. "Soil Erosion Estimation Using Revised Universal Soil Loss Equation (RUSLE) Model and GIS." In GIScience for the Sustainable Management of Water Resources, 253–66. New York: Apple Academic Press, 2022. http://dx.doi.org/10.1201/9781003284512-16.
Ishak, N. A., Lariyah Mohd Sidek, M. R. Yalit, S. K. A. Z. A. Razad, S. A. Sinnakaudan, and A. M. A. Aziz. "Development of Soil Loss Erosion Forecasting Using the Revised Universal Soil Loss Equation and Geographic Information System." In Water Resources Development and Management, 103–14. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1971-0_10.
Conference papers on the topic "USLE Universal soil loss equation":
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.
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.
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.
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.
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.