Relevant bibliographies by topics / USLE

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Academic literature on the topic 'USLE'

Author: Grafiati
Published: 4 June 2021
Last updated: 22 June 2024

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Journal articles on the topic "USLE"

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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.

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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 formed on loess. The soil erodibility values were calculated by the equations of the applied soil erosion models and ranged from 0.0028 to 0.0087 t ha h ha−1 MJ−1 mm−1 for the USLE-related models. EPIC produced larger values. The coefficient of determination resulted in an acceptable correlation between the measured and calculated values only in the case of USLE-M. Based on other statistical indicators (e.g., NSEI, RMSE, PBIAS and relative error), RUSLE, USLE and USLE-M resulted in the best performance. Overall, regardless of being non-physically based models, USLE-type models seem to produce accurate soil erodibility values, thus modelling outputs.
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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 (June 29, 2022): 2081. http://dx.doi.org/10.3390/w14132081.

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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 added to the antecedent soil moisture is a fairly suitable predictor of the runoff. Using the simulated runoff in a USLE-MM model, the capability to predict event soil losses is enhanced with an RMSE = 0.57 Mg/ha lower than the RMSE ≈ 3.1 Mg/ha obtained by the USLE model. Using a modified USLE model, albeit with remote estimated runoff data, is still more advantageous at the event scale than the USLE model, which does not consider the runoff. These results are particularly significant for the estimation of runoff and soil losses. Satellite data shows the potential of applying the modified USLE models for large-scale monitoring and quantification of event soil erosion and runoff.
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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.

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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 the USLE and the RUSLE overpredicting observed erosion losses, when erosion losses are low, is related to a large degree to model formula. In addition, the removal of restrictions to what constitutes a valid EI30 value increases the capacity of the RUSLE to overpredict low soil losses. As the USLE is an empirical model, values of USLE K, C, and P can only be used when the event erosivity parameter is EI30. Models like EPIC ignore this fact.
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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.

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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.
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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.

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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), Kanhaplic Haplaustalf (Oyo series), Typic Plinthustalf (Temidire series) and Typic Haplaustalf (Owutu series) were used for the study. Soil erodibility factor was determined using USLE and WEPP models. Origin-Pro. 8.1 software was employed to compare USLE and WEPP models for conformity and suitability. The results showed perfect agreement (R2= 1.0;P< 0.001) between the two WEPP (inter-rill and rill) erodibility models in all the four soil types investigated. In addition, WEPP models (inter-rill and rill erodibility) significantly (R2= 0.82;P< 0.001) related to USLE (El-Swaify and Dangler, 1977) erodibility model. There was a poor relationship (R2= 0.46;P< 0.06) between USLE (Wischmeier and Mannering, 1968) and the WEPP erodibility factors. The WEPP erodibility models with a perfect relationship with soil properties of the four soil types are more suitable than USLE models for predicting soil erodibility of the identified soil types in tropical environments.
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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 (September 15, 2020): 4463–89. http://dx.doi.org/10.5194/hess-24-4463-2020.

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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 potential to evaluate soil loss estimates at a large scale is very limited due to scarce in-field observations and their comparability to long-term soil estimates. In this work we addressed (i) the uncertainties in the soil loss estimates that can potentially be introduced by different representations of the USLE input factors and (ii) challenges that can arise in the evaluation of uncertain soil loss estimates with observed data. In a systematic analysis we developed different representations of USLE inputs for the study domain of Kenya and Uganda. All combinations of the generated USLE inputs resulted in 972 USLE model setups. We assessed the resulting distributions in soil loss, both spatially distributed and on the administrative level for Kenya and Uganda. In a sensitivity analysis we analyzed the contributions of the USLE model inputs to the ranges in soil loss and analyzed their spatial patterns. We compared the calculated USLE ensemble soil estimates to available in-field data and other study results and addressed possibilities and limitations of the USLE model evaluation. The USLE model ensemble resulted in wide ranges of estimated soil loss, exceeding the mean soil loss by over an order of magnitude, particularly in hilly topographies. The study implies that a soil loss assessment with the USLE is highly uncertain and strongly depends on the realizations of the model input factors. The employed sensitivity analysis enabled us to identify spatial patterns in the importance of the USLE input factors. The C and K factors showed large-scale patterns of importance in the densely vegetated part of Uganda and the dry north of Kenya, respectively, while LS was relevant in small-scale heterogeneous patterns. Major challenges for the evaluation of the estimated soil losses with in-field data were due to spatial and temporal limitations of the observation data but also due to measured soil losses describing processes that are different to the ones that are represented by the USLE.
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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 (May 25, 2020): 3647. http://dx.doi.org/10.3390/app10103647.

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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 regional model adaptations and implementation techniques result in substantial differences in test catchment specific mean erosion (up to 75% difference). Much more pronounced differences were modelled for individual fields. The comparison of the region-specific USLE approaches with the revised USLE-base European erosion map underlines the problems and limitations of harmonization procedures. The EU map limits the range of modelled erosion and overall shows a substantially lower mean erosion compared to all region-specific approaches. In general, the results indicate that even if many EU countries use USLE technology as basis for soil conservation planning, a truly consistent method does not exist, and more efforts are needed to homogenize the different methods without losing the USLE-specific knowledge developed in the different regions over the last decades.
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László, Péter, and Kálmán Rajkai. "A talajerózió modellezése." Agrokémia és Talajtan 52, no. 3-4 (November 1, 2003): 427–42. http://dx.doi.org/10.1556/agrokem.52.2003.3-4.13.

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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 kísérletet. Az empirikus USLE mellett a folyamat fizikai jellegét figyelembe vevő mechanisztikus modellek is megjelentek. A számítástechnika és a GIS rohamos fejlődésével lehetőség nyílt a talajerózió lejtő- vagy táblaszintű, illetve vízgyűjtő léptékű becslésére. Hazánkban a talajerózió előrejelzésére - a klímaváltozás várható jellegzetességei miatt - az empirikus, táblaszintű, éves talajveszteséget becslő USLE modell helyett a fizikai törvényekre épített, csapadékeseményhez kötött modellek felhasználása ajánlható. Tekintettel arra, hogy a modellek érvényessége lokális a felhasználás előtt minden egyes modellt a helyi viszonyokra érvényesíteni szükséges. Összefoglalásképpen megállapítható, hogy a mezőgazdasági termelés fenntarthatósága érdekében a talajerózió előrejelzésére új hazai rendszer kiépítése és érvényesítése szükséges.
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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 (April 7, 2020): 1105–19. http://dx.doi.org/10.5016/geociencias.v38i4.14083.

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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). Esta comparação visa identificar a possibilidade de usar a USLE como mais um método para determinação do ZVA em bacias. Os dados foram processados em Sistema de Informações Geográficas e comparados por meio de acertos por matriz de confusão em classes de estabilidade. Os resultados demonstram uma baixa coincidência entre os modelos AEFANA e USLE, porém, a maior influência da topografia em conjunto com as atividades antrópicas permitiu à USLE a determinação de fragilidades não indiciadas pelo ZVA da AEFANA, especialmente nas cabeceiras dos rios. A predição de erosão hídrica pela USLE como modelo para ZVA poderá auxiliar o planejamento territorial da BHRF quando integrada a AEFANA.
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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 (November 1, 1986): 721–30. http://dx.doi.org/10.4141/cjss86-071.

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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 thickness and organic carbon content of the A horizon all decreased going from depositional sites to sites with severe erosion. Variations in A horizon thickness and organic carbon content explained about 65% of the variation in 137Cs. Soil losses predicted by the USLE were better correlated with soil losses calculated from 137Cs when the 137Cs data were used to delineate slope segments that were subject to erosion than when 137Cs and USLE soil losses were calculated on a field basis. The USLE overestimated soil losses at high erosion rates. Key words: Erosion, deposition, 137Cs, USLE, soil profile
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Dissertations / Theses on the topic "USLE"

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Rumler, Daniel. "Josef Suk ( 1874 - 1935) : Tvorba pro ho usle." Master's thesis, Akademie múzických umění v Praze.Hudební a taneční fakulta. Knihovna, 2015. http://www.nusl.cz/ntk/nusl-202839.

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The focus of my paper called Josef Suk (1874-1935): Works for violin is the analysis of his Fantasy g-minor op. 25 for violin and orchestra and his works for violin and piano. It was not my aim here to analyse note by note, but to comment on the basic tectonic features and point out the most interesting parts of the score. I look on formal aspects of these compositions, with the aim of gaining insight into the portrayal of the author's thoughts. I also pay attention to the harmonic side of these works. Also concerning the chamber works with the violin I provide an abridged analysis In each composition (if possible) the date of premiere and also its performer is indicated. The paper firstly provides general information on the life and work of Josef Suk and about the history of the Czech Quartet.
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Rocha, Gustavo Casoni da. "Aplicação da estimativa espaço-temporal da tolerância à perda de solo no planejamento do uso da terra." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/11/11140/tde-26072013-091837/.

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O Brasil é um dos principais países agrícolas do mundo e um dos únicos com possibilidade de expansão expressiva de sua área em produção e da produtividade. Entretanto, a contínua necessidade de incrementos da produção leva à ocupação de áreas menos aptas para a agricultura, com potencial aumento da degradação do solo pela erosão. Neste contexto, a conservação do solo é uma variável importante e está, em parte, relacionada ao conceito de aptidão agrícola. Modelos de predição da erosão são ferramentas importantes no planejamento agrícola, entretanto, em muitas situações carecem valores de referência de tolerância. Como alternativa aos valores de referência o objetivo deste trabalho foi desenvolver espacialmente o conceito de tempo de vida da agricultura (TVA) para o território brasileiro, além de aplicá-lo em situações possíveis para o planejamento do uso da terra. A metodologia partiu da adequação de base de dados de acesso aberto dos parâmetros da equação de TVA. Para tanto, foram executadas regressões, equações de pedotransferência e cálculos com a Equação Universal de Perda de Solo (USLE). A aplicação do conceito TVA para i) bacias hidrográficas, por meio da mediana dos valores TVA; ii) biomas, o Brasil é signatário do acordo com o Convenção sobre Diversidade Biológica da Organização das Nações Unidas (CDB), considerando a conservação do solo uma variável na localização de novas Unidades de Conservação (UC), buscou-se identificar as áreas de menor tempo de vida potencial da agricultura (pTVA) como alvos prioritários para a criação de novas UC; iii) expansão da agricultura, buscou identificar as características das áreas de fronteira agrícola e de não fronteira em relação ao seu pTVA. Os principais resultados foram: i) é possível estimar parâmetros do solo por meio de regressões, captando entre 36% (argila) a 60% (matéria orgânica) da variância total; ii) a combinação de uso agrícola intenso e solos pouco profundos resultam em tempo de vida da agricultura menores, notadamente nos estados de Santa Catarina, Rio de Janeiro, Paraná e Minas Gerais e no bioma Mata Atlântica.; iii) o bioma Amazônia e os estados do Mato Grosso do Sul e Bahia mostraram-se as regiões de maior tempo de vida; iv) na análise por subbacias, a que se encontra em melhor condição é a bacia Amazônica; v) a determinação de áreas prioritárias para a conservação foi possível e resultou em seis mapas com áreas mais sensíveis, geralmente associações de relevo ondulado e solos rasos; vi) a análise da relação com a agricultura mostrou que em áreas consolidadas não houve diferença entre os valores totais e aquele das áreas ocupadas com agricultura. Já em áreas de expansão houve tendência de escolha de áreas com tempo de vida da agricultura potencial mais alto, ou seja, com menor risco de erosão. Este fenômeno é esperado pela teoria de ajuste territorial da agricultura (agricultural adjustment).
Brazil is one of the main agricultural countries in the world and one of the only ones with the significant possibility expansion its agricultural area and productivity. The continuing need for the production increments leads to the occupation of less suitable areas for agriculture, with potentially increased soil degradation by erosion. In this context, soil conservation is an important variable and is partly related to the concept of land suitability. Erosion prediction models are important tools in agricultural planning, however, in many situations require reference tolerance values. As an alternative to reference values the aim of this study was to develop spatially the concept of Agricultural Lifetime (TVA) for the Brazilian territory, and apply it to situations possible for planning land use. The methodology was based on the adaptation of the public databases of the parameters of the TVA equation. Thus, we executed regressions, pedotransfer equations and calculations with Equation Universal Soil Loss (USLE). Applying the TVA concept to i) watershed analysis, through the median TVA values, ii) biomes analysis, Brazil is a signatory of the Convention on Biological Diversity of the United Nations (CDB) agreement, the given to conservation of soil a variable in locating new Conservation Units (UC), we sought to identify areas of lower potential agricultural lifetime (pTVA) as priority targets for creating new UC´s iii) expansion of agriculture analysis, was to identify the characteristics of agricultural frontier areas and not frontier in relation of pTVA. The main results were: i) it is possible to estimate soil parameters through regression, capturing between 36% (clay) and 60% (organic matter) of the total variance; ii) the combination of intense agricultural land use and shallow deep soils result in TVA lower, especially in the states of Minas Gerais, Santa Catarina, Rio de Janeiro e Paraná and in the Mata Atlântica biome; iii) the Amazon region and Bahia and Mato Grosso do Sul states showed up places with longer life; iv) the analysis by subbasins, which are in the best conditions are the basins of the eastern Atlantic and Amazon; v) the determination of priority areas for conservation was possible and resulted in six maps with more sensitive areas, generally associations wavy relief and shallow soils deep; vi) the analysis of the relation with agriculture in consolidated areas showed that there was no difference between the totals and that the areas occupied by agriculture, already in frontier areas tended to choose pTVA areas higher, with less risk of erosion. This phenomenon is expected by the theory of agricultural adjustment.
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Correchel, Vladia. ""Avaliação de índices de erodibilidade do solo através da técnica da análise da redistribuição do "fallout" do 137Cs"." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/64/64132/tde-13042004-111210/.

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Entre os parâmetros da USLE (Universal Soil Loss Equation), método mais utilizado na estimativa das perdas de solo por erosão hídrica, a erodibilidade do solo, representada pelo fator K e definida como a taxa de solo perdida por unidade de índice de erosividade, em parcela unitária considerada como padrão (Wischmeier et al., 1971), é o único intrínseco ao solo. Nessas condições padrão o valor encontrado é considerado como o real valor de K. Pelas dificuldades experimentais para obtenção do valor de K para todos os solos, esse fator é geralmente estimado por equações matemáticas empíricas com base em atributos físicos, químicos e mineralógicos do solo. O presente trabalho trata da avaliação de oito métodos de estimativa do fator K da USLE, tomando-se por base estimativas das taxas de erosão avaliadas pelo método do 137Cs. Foram utilizadas oito parcelas padrão de avaliação de perdas de solo e seis transeções demarcadas no campo, em diferentes solos. Nas parcelas padrão, as taxas de erosão medidas diretamente foram comparadas com as estimadas pelo método do 137Cs e os resultados indicaram uma boa concordância. Os valores de K, estimados pelos diferentes modelos, para o solo da parcela, foram comparados diretamente com o valor medido e mostram que os métodos propostos por Wischmeier et al. (1971) e Denardin (1990) desenvolvido para solos do Brasil, são os que mais se aproximam do valor medido. Os mesmos valores de K foram também avaliados por meio da comparação entre as taxas de erosão estimadas pela USLE e pelo método do 137Cs, tendo sido obtidos resultados semelhantes aos da avaliação direta. Essa última forma de avaliação dos métodos de estimativa do fator K foi aplicada também em seis transeções demarcadas em diferentes solos. Devido às grandes limitações associadas aos dois métodos, os resultados mostram uma grande discrepância entre as taxas de erosão estimadas pela USLE e pelo 137Cs o que inviabilizou a comparação proposta dos modelos.
Among the Universal Soil Loss Equation (USLE) parameters, the soil erodibility factor (K), defined as the rate of soil loss per unit of area and per unit of erosivity index for a specific soil as measured on unit plot (Wischmeier & Smith, 1978), is the only soil intrinsic factor. The K values determined on standard unit plots are considered as the real K values. However, K factor can be also estimated by empirical models based on physical, chemical and mineralogical soil attributes. Eight of such empirical methods for K factor estimation were evaluated by comparing the rates of soil loss calculated by USLE and 137Cs fallout redistribution analysis. This procedure was applied both in eight standard erosion plots and six field transects on different soils. In the standard erosion plots the measured soil erosion rates were compared with the rates estimated by the 137Cs method and the results indicate a good relationship. The K values estimated by the different models for the specific soil of the standard plots were compared with the measured K value. The results obtained by the models proposed by Wischmeier et al. (1971) and Denardin (1990) for Brazilian soils were more close to the measured K value. The same K values were also evaluated by comparing the soil erosion rates estimated by USLE and 137Cs methods and the results are in agreement with the direct comparison. This procedure was also applied for the evaluation of K estimation models on the field transects. Due to the limitations associated to both models, the soil erosion rates estimated by USLE and 137Cs methods were very discrepant which did not allow the comparison of K estimation methods when applied for the soils of the transects.
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Ferreira, Luís Miguel de Carvalho Alves. "Avaliação da erosão hídrica potencial dos solos à escala da unidade de intervenção florestal com a utilização de um sistema de informação geográfica." Master's thesis, Universidade de Évora, 2014. http://hdl.handle.net/10174/13048.

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Este estudo tem como objetivo o desenvolvimento de metodologias para produção de cartografia de avaliação da erosão do solo adequada à uma utilização operacional no contexto da gestão florestal, através de um Sistema de Informação Geográfica (SIG). Foram testados dois modelos na determinação da erosão hídrica potencial, escolhidos pela sua aplicabilidade teórica: uma adaptação da Equação Universal de Perda de Solo (USLE) (Wischmeier & Smith, 1965; 1978) e o índice de Erosão Hídrica Estrutural (EHE) (Ferreira et al., 2010; Neves et al., 2011). Estes modelos foram aplicados a uma área florestal, parte de uma propriedade próxima da vila de Azambuja, no distrito de Lisboa. Para uma validação qualitativa dos resultados de modelação, foi realizado um levantamento cartográfico da erosão observada nesta área. Numa perspetiva operacional, ambos os modelos demonstraram uma eficácia razoável na descrição da realidade observada na área estudada. O modelo adaptado da USLE alcançou melhores resultados gerais, enquanto os níveis de confiança na cartografia do índice EHE aumentaram com o grau de erosão, possibilitando melhores resultados nas classes de maior suscetibilidade de erosão; Abstract: Assessment of soil water erosion potential on scale of forest intervention unit using a Geographic Information System This study aims the development of methodologies for the production of maps directed towards the assessment of soil erosion suitable to a forestry management operational use, using a Geographic Information System (GIS). Two models were tested to evaluate the water erosion potential, selected for their theoretical applicability: an adaptation of Universal Soil Loss Equation (USLE) (Wischmeier & Smith, 1965; 1978) and the Structural Water Erosion index (EHE) (Ferreira et al., 2010; Neves et al., 2011). These models were applied in a forest area, part of a property close to Azambuja village, in Lisbon district. For qualitative validation of the modeling results, a cartographic survey of observed erosion in this area was produced. From an operational point of view, both models show a reasonable efficacy to describe the situation found in the studied area. The adapted USLE model achieved better general results, while the levels of confidence in the EHE index mapping increasing with the degree of erosion, allowing better results in high erosion susceptibility classes.
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5

Dohnal, David. "Návrh dokumentace technického řešení vybraných prvků plánu společných zařízení KPÚ Sedlnice." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2014. http://www.nusl.cz/ntk/nusl-226879.

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The aim was to evaluate the erosion and drainage conditions in cadastre Sedlnice. To propose land erosion and water management measures to optimize land erosion and improve runoff conditions of the landscape.
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Moreno, Ramona Ignacia, Pablo Alejandro Campos, Adrián José Avendaño, Virgilio Núñez, Mirian Norma Gil, Barboza Ariela Griselda Judith Salas, and Eliseo Pedro Joel Medina. "Distribución espacial y análisis de la pérdida de suelo en microcuencas de la Sierra de Vaqueros (Salta, Argentina) mediante el uso de un SIG." Pontificia Universidad Católica del Perú. Centro de Investigación en Geografía Aplicada, 2017. http://repositorio.pucp.edu.pe/index/handle/123456789/119449.

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Inmediatamente al norte de la ciudad de Salta, varios arroyos tienen sus nacientes en las laderas orientales de la Sierra de Vaqueros, cuyo piedemonte se encuentra urbanizado. La influencia del hombre sobre el ambiente serrano determina la necesidad de estimar las tasas de erosión, localizar las diferentes clases de pérdida de suelos y llevar a cabo su análisis. Se trabajó con imágenes satelitales, generándose los mapas base y temáticos necesarios de las microcuencas de los arroyos Vaqueros y Los Nogales, mediante la utilización de un Sistema de Información Geográfica (SIG). Esto permitió caracterizar las áreas de estudio y lograr la información nece- saria para aplicar la Ecuación Universal de Pérdida de Suelos (USLE). Los factores R, K y LS se obtuvieron mediante adaptaciones del método, en razón de la indisponibilidad de datos establecidos por los autores. El promedio de la pérdida de suelos actual corresponde a una tasa de 47 t/ha/año para la microcuenca Vaqueros y de 45 t/ha/año para la del arroyo Los Nogales. Las diferentes categorías de erosión fueron localizadas y analizadas considerando la interacción de los factores actuantes. Para el logro de una mejor calidad ambiental, se propusieron medidas sencillas con el fin de incidir sobre los factores que pueden ser modificados.
Immediately north of Salta city, several streams have their sources on the eastern slopes of the Sierra de Vaqueros, whose piedemonte is urbanized. The man influence on the mountain environment makes it necessary to estimate erosion rates the location of their different erosion classes and their analysis. The work was carried out with satellite images, generating the base map and thematic maps of the Vaqueros and Los Nogales microbasins, through the use of a Geographic Information System (GIS); this allowed to characterize the study areas and to obtain the necessary information to apply the Universal Equation of Soil Loss (USLE). R, K and LS factors were obtained through adaptations of the method, due to the unavailability of data established by authors. The average of current water erosion showed a rate of 47 t/ha/year for the Vaqueros microbasin and 45 t/ha/year for the microbasin Los Nogales. The different categories of erosion were located and analyzed considering the interaction of the acting factors. For the achievement of a better environmental quality simple measures to influence the possible factors to be modified were proposed.
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7

Bayramov, Emil. "Quantitative Assessment of Vegetation Renaturation and Soil Degradation and their Control by Climate and Ground Factors along Rights-of-Way of Petroleum/Gas Pipelines, Azerbaijan." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-103603.

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The construction of Baku-Tbilisi-Ceyhan (BTC) Oil and South Caucasus Gas (SCP) pipelines was completed in 2005. The Azerbaijan section of BTC Oil and SCP Gas pipelines is 442 km long and 44 m wide corridor named as the Right-of-Way. BTC and SCP pipelines are aligned parallel to each other within the same 44m corridor. The construction process of the pipelines significantly disturbed vegetation and soil cover along Right-of-Way of pipelines. The revegetation and erosion control measures were conducted after the completion of construction to restore the disturbed footprints of construction activities. The general goals of the present studies, dedicated to the environmental monitoring of revegetation and planning of erosion control measures were: to evaluate the status of the revegetation in 2007 since the completion of the construction activities in 2005, to determine the climate and ground factors controlling the vegetation regrowth and to predict erosion-prone areas along Right-of-Way of pipelines. Regression and root mean square error analysis between the Normalized Difference Vegetation Index (NDVI) of IKONOS images acquired in 2007 and in-situ estimations of vegetation cover percentage revealed R2 equal to 0.80 and RMSE equal to 6% which were optimal for the normalization of NDVI to vegetation cover. The total area of restored vegetation cover between 2005 and 2007 was 8.9 million sq. m. An area of 10.7 million sq. m. of ground vegetation needed restoration in order to comply with the environmental acceptance criteria. Based on the Global Spatial Regression Model, precipitation, land surface temperature and evapotranspiration were determined as the main climate factors controlling NDVI of grasslands along Right-of-Way of pipelines. In case of croplands, precipitation, evapotranspiration and annual minimum temperature were determined as the main factors controlling NDVI of croplands. The regression models predicting NDVI for grasslands and croplands were also formulated. The Geographically Weighted Regression analyses in comparison with the global regression models results clearly revealed that the relationship between NDVI of grasslands and croplands and the predictor variables was spatially non-stationary along the corridor of pipelines. Even though the observed R2 value between elevation and NDVI of grasslands was low (R2= 0.14), the accumulation of the largest NDVI patterns was observed higher than 150m elevation. This revealed that elevation has non-direct control of NDVI of grasslands through its control of precipitation and temperature along the grasslands of Right-of-Way. The spatial distribution percentage of NDVI classes within slope aspect categories was decreasing in the southern directions of slope faces. Land surface temperature was decreasing with elevation but no particular patterns of land surface temperature in the relationship with NDVI accumulation within the aspect categories were observed. Aspect categories have non-direct control of NDVI and there are some other factors apart from land surface temperature which require further investigations. Precipitation was determined to be controlling the formation of topsoil depth and the topsoil obviously controls the VC growth of grasslands as one of the main ground factors. The regression analysis between NDVI of grasslands and croplands with groundwater depth showed very low correlation. But the clustered patterns of vegetation cover were observed in the relationship with groundwater depth and soil moisture for both grasslands and croplands. The modeling of groundwater depth relative to soil moisture and MODIS NDVI of grasslands determined that the threshold of groundwater depth for vegetation growth is in the range of 1-5 m. MODIS NDVI and soil moisture did not reveal a significant correlation. Soil moisture revealed R2 equal to 0.34 with elevation, R2 equal to 0.23 with evapotranspiration, R2 equal to 0.57 with groundwater depth and R2 equal to 0.02 with precipitation. This allowed to suspect that precipitation is not the main factor controlling soil moisture whereas elevation, evapotranspiration and groundwater depth have non-direct control of soil moisture. Therefore, soil moisture has also non-direct control of vegetation cover growth along the corridor of pipelines. The variations of soil moisture in the 1-3 m soil depth range may have the threshold of depth controlling vegetation cover regrowth and this requires more detailed soil moisture data for further investigations. The reliability of the Global Spatial Regression Model and Geographically Weighted Regression predictions is limited by the MODIS images spatial resolution equal to 250 m and spectral characteristics. The Morgan-Morgan-Finney (MMF) and Universal Soil Loss Equation (USLE) predictions revealed non-similarity in the spatial distribution of soil loss rates along Right-of-Way. MMF model revealed more clustered patterns of predicted critical erosion classes with soil loss more than 10 ton/ha/year in particular ranges of pipelines rather than Universal Soil Loss Equation model with the widespread spatial distribution. Paired-Samples T-Test with p-value less than 0.05 and Bivariate correlation with the Pearson\'s correlation coefficient equal to 0.23 showed that the predictions of these two models were significantly different. Verification of USLE- and MMF- predicted erosion classes against in-situ 316 collected erosion occurrences collected in the period of 2005-2012 revealed that USLE performed better than MMF model along pipeline by identifying of 192 erosion occurrences out of 316, whereas MMF identified 117 erosion sites. USLE revealed higher ratio of frequencies of erosion occurrences within the critical erosion classes (Soil Loss > 10 t/ha), what also showed higher reliability of soil loss predictions by USLE. The validation of quantitative soil loss predictions using the measurements from 48 field erosion plots revealed higher R2 equal to 0.67 by USLE model than by MMF. This proved that USLE-predicted soil loss rates were more reliable than MMF not only in terms of spatial distributions of critical erosion classes but also in the quantitative terms of soil loss rates. The total number of erosion-prone pipeline segments with the identified erosion occurrences was 316 out of 38376. The number of erosion-prone pipeline segments realistically predicted by USLE model e.g. soil loss more than 10 t/ha was 97 whereas MMF predicted only 70 erosion-prone pipeline segments. The regression analysis between 354 USLE and MMF erosion-prone segments revealed R2 equal to 0.36 what means that the predictions by USLE and MMF erosion models are significantly different on the level of pipeline segments. The average coefficients of variation of predicted soil loss rates by USLE and MMF models and the number of accurately predicted erosion occurrences within the geomorphometric elements of terrain, vegetation cover and landuse categories were larger in the USLE model. This supported the hypothesis that larger spatial variations of erosion prediction models can contribute to the better soil loss prediction performance and reliability of erosion prediction models. This also supported the hypothesis that better understanding of spatial variations within geomorphometric elements of terrain, land-use and vegetation cover percentage classes can support in the selection of the appropriate erosion models with better performance in the particular areas of pipelines. Qualitative multi-criteria assessment for the determination of erosion-prone areas revealed stronger relations with the USLE predictions rather than with MMF. Multi-criteria assessment identified 35 of erosion occurrences but revealed more reliable predictions on the level of terrain units. Predicted erosion-prone areas by USLE revealed higher correlation coefficient with erosion occurrences than MMF model within terrain units what proved higher reliability of the USLE predictions and its stronger relation with the multi-criteria assessment.
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Botelho, Thiago Henrique Arbués. "Disponibilidade e aplicabilidade de dados espaciais na caracterização e quantificação de perdas de solo por erosão na bacia hidrográfica do Rio Samambaia, Goiás." Universidade Federal de Goiás, 2015. http://repositorio.bc.ufg.br/tede/handle/tede/5648.

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The monitoring of soil loss by erosion is a source of information relevant to land management, forecasting impacts and conservation recommendations. In this sense, the objective of this study was to apply computer simulation methodology of soil erosion using the Universal Soil Loss Equation (USLE) and sources of information available to characterize, quantify and analyze soil losses in the Samambaia River watershed (BHRS). This basin was chosen as the study unit, due to the availability of spatial data in different scales (1: 250,000 and 1: 10,000). A Geographic Information System (GIS) was used in handling, sorting and updating of data of interest as well as to build the Digital Elevation Model (DEM) and the spatial database of USLE factors in two different scales. To quantitatively analyze the results calculated the Natural Potential Erosion (PNE) and the current erosion (Ea) that considers the influence of coverage, Land Use and Occupancy (UCS), also used for qualitative studies of soil losses. The study area was divided into three sub-basins. The mapping of the UCS showed that agricultural areas represent about 70% of land cover in the sub-basin of Samambaia River and Arrasta-burro Stream. The results indicated that more than 80% of the area of these two sub-basins has a weak PNE. Have the sub-basin of Moreira Stream had the highest percentage of natural vegetation and forestry classes, as well as the lowest percentage of bare soil class, in relation to other sub-basins. However, had the highest average value of current erosion (71.10 Mg ha-1 yr-1), which is probably due to the PNE ranging from moderate to very strong in more than 40% of the area. Most of the basin soil has medium erodibility. For Cambisols and Petric Plinthosols of BHRS, the average soil loss is at least twice higher than the average level of tolerance. The LS factor has more influence in the PNE, especially when the relief was wavy, followed by the K factor, when the relief was flat. Use the database scale 1: 10,000 affected area of the watershed caused increases in slope and rise of strong corrugated relief classes, mountainous and rugged, yet showed higher coefficients of variation for all the factors of USLE. The results show greater difference between the wavy relief classes in both applied scales. In most maps produced by means of databases on different scales there is distinction of the results, especially for the slope maps, PNE and Ea generated for the watershed of the Samambaia. The analysis of soil losses in the areas of central pivot showed higher average and median values when using the scale 1: 250,000. It is important that managers and farmers are aware of the risks and provide mitigation measures. An interesting solution is to expand the use of lower impact to soil management systems, to promote its wider coverage, such as forestry, especially in the areas susceptible to erosion.
O monitoramento das perdas de solo por erosão é fonte de informação relevante para a gestão do território, previsão de impactos e recomendações conservacionistas. Nesse sentido, o objetivo deste estudo foi aplicar metodologia de simulação computacional da erosão hídrica do solo utilizando a Equação Universal de Perda de Solo (USLE) e fontes de informação disponíveis para caracterizar, quantificar e analisar as perdas de solo na bacia hidrográfica do Rio Samambaia (BHRS). Essa bacia hidrográfica foi escolhida como unidade de estudo, em razão da disponibilidade de dados espaciais em escalas distintas (1:250.000 e 1:10.000). Um Sistema de Informação Geográfica (SIG) foi utilizado na manipulação, classificação e atualização dos dados de interesse, bem como para construir o Modelo Digital de Elevação (MDE) e a base de dados espaciais dos fatores da USLE nas duas escalas distintas. Para analisar quantitativamente os resultados calculou-se o Potencial Natural à Erosão (PNE) e a Erosão atual (Ea) que considera a influência da Cobertura, Uso e Ocupação do Solo (UCS), também usado para estudos qualitativos das perdas de solo. A área de estudo foi dividida em três sub-bacias hidrográficas. O mapeamento do UCS demonstrou que as áreas agrícolas representam aproximadamente 70% da cobertura do solo na sub-bacia do Rio Samambaia e do Córrego Arrasta-burro. Os resultados obtidos indicaram que mais de 80% da área dessas duas sub-bacias possui um PNE fraco. Já a sub-bacia do Ribeirão Moreira apresentou o maior percentual das classes vegetação natural e silvicultura, bem como o menor percentual da classe solo exposto, em relação às outras sub-bacias. Contudo, obteve o maior valor médio de erosão atual (71,10 Mg ha-1 ano-1), o que se deve provavelmente em razão do PNE que variou de moderado a muito forte em mais de 40% da área. A maioria dos solos da bacia apresenta média erodibilidade. Para os Cambissolos e Petroplintossolos (Plintossolos Pétricos) da BHRS, a perda média de solo está no mínimo duas vezes acima do limite médio de tolerância. O fator LS tem maior influência no PNE, principalmente quando o relevo foi ondulado, seguido pelo fator K, quando o relevo foi plano. O uso da base de dados na escala 1:10.000 afetou a área da microbacia, provocou aumento de declividade e surgimento das classes de relevo forte ondulado, montanhoso e escarpado, ainda apresentou maiores coeficientes de variação para todos os fatores da USLE. Os resultados comprovam maior diferença entre as classes de relevo ondulado nas duas escalas aplicadas. Na maioria dos mapas produzidos por meio das bases de dados em diferentes escalas existe distinção dos resultados, principalmente para os mapas de declividade, PNE e Ea gerados para a microbacia do Rio Samambaia. A análise das perdas de solo nas áreas de pivô central demonstrou aumento dos valores de média e mediana ao se utilizar a escala 1:250.000. É importante que os gestores e produtores rurais tomem consciência sobre os riscos e estabeleçam medidas mitigadoras. Uma solução interessante é ampliar a utilização de sistemas de manejo menos impactantes ao solo, que promovam sua maior cobertura, tais como a silvicultura, especialmente nas áreas mais suscetíveis à erosão.
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Carvalho, Mariana Barbosa de. "Comparação de abordagens metodológicas para avaliação do potencial de ocorrência de processos erosivos na Bacia Hidrográfica do Córrego do Jaú, Aparecida D’Oeste – SP /." Ilha Solteira, 2019. http://hdl.handle.net/11449/181599.

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Orientador: José Augusto de Lollo
Resumo: A erosão, especialmente do tipo acelerada, é um fenômeno com grande potencial de causar degradação ambiental, diminuindo a produção de alimentos, provocando a desertificação de áreas, o assoreamento de rios, o deslizamento de solo, entre outros. Dessa forma, o estudo dos processos erosivos e suas consequências é de fundamental importância em diversas áreas do conhecimento, exatamente para que possam ser propostas formas de remediar os casos já existentes e prevenir possíveis próximas ocorrências. Dentre os tipos de erosão existentes destaca-se a hídrica, e os parâmetros envolvidos nesse cenário podem ser diversos, envolvendo tanto fatores naturais, como as propriedades do solo, o clima e o relevo, quanto antropogênicos, como a ocupação do solo e técnicas de manejo. Além disso, uma ferramenta muito utilizada nos estudos de suscetibilidade à erosão é o SIG, ou Sistemas de Informações Geográficas, devido à sua capacidade de armazenar, manipular, analisar e apresentar dados distribuídos espacialmente e georreferenciados. O uso dessa ferramenta proporciona tanto a melhora na precisão dos valores obtidos, quanto diminui o tempo consumido durante os cálculos. Assim, o objetivo deste trabalho foi avaliar os resultados de diferentes abordagens de avaliação do potencial de ocorrência de erosão na Bacia Hidrográfica do Córrego do Jaú, em Aparecida D’Oeste – SP, envolvendo diversos parâmetros naturais e antrópicos, e utilizando sistemas de informações geográficas, de forma a verificar a ... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: Erosion, especially the accelerated type, is a phenomenon with high potential to cause environmental degradation, declining food production, causing desertification of areas, siltation of rivers, landslides, among others. Thus, the study of erosion and its consequences is of fundamental importance in many areas of knowledge, so that ways to remedy existing cases of it and prevent possible subsequent occurrences can be proposed. Among the existing types of erosion, the one caused by water stands out, and the parameters involved in this scenario may be diverse, involving both natural factors, such as soil properties, climate and relief, and anthropogenic ones, such as soil occupation and management. In addition, a tool widely used in erosion susceptibility studies is GIS, due to its ability to store, manipulate, analyze and present spatially distributed and geo-referenced data. The use of this tool provides both the improvement in the accuracy of the values obtained and the reduction of time consumed during calculations. So, the objective of this study was to evaluate the results of different approaches to assess the potential for erosion occurrence in the Córrego do Jaú watershed, in Aparecida D'Oeste – SP, involving several natural and anthropic parameters, and using geographic information systems, in order to verify the applicability of these methods in the study basin. For the proposed study, the methods of the Natural Vulnerability to Erosion (VNE) and adaptations of the U... (Complete abstract click electronic access below)
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Guimarães, Diana Filipa Carmo. "Measurement of lead concentration in biological tissues by atomic spectroscopy techniques." Doctoral thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/6805.

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Dissertation for the degree of Doctor of Philosophy in Physics
Lead is a toxic element that has no biological role. To increase the knowledge of the mean lead concentrations accumulated and excreted by the organism, a study was developed to measure lead concentrations, using different atomic spectrometry techniques, in several tissues and excretions of Wistar rats. These rats were divided in two groups: one exposed to lead since foetal period, by lead acetate in drinking water, and a control group, not exposed to lead. By collecting samples of rats with different ages it was also studied the influence of age in lead concentrations. The studied organs and excretions were: iliac bone, tibia-fibula, femur, skull, liver, kidney, urine and faeces. When conducting a study like this, the analytical techniques used the knowhow and the ability to understand the physical processes occurring are also of major relevance. In this work it was used the Energy Dispersive X-ray Fluorescence (EDXRF) technique to analyze the solid samples and the Electro Thermal Atomic Absorption Spectrometry (ETAAS) technique to analyze the urine. To carry on with the urine analysis it was developed an Ultrasound Solid-Liquid Extraction (USLE) procedure. This procedure was also applied to analyse brain samples. The Total Reflection X-ray Fluorescence (TXRF) technique was also used to study urine samples and to assess some of the results obtained with ETAAS. In this work, several correlations between the different tissues were found. A possible evidence of pre-natal exposure was verified because the samples belonging to rats with 1 month old presented much higher mean lead concentrations than the concentrations, measured in works of other authors, of rats exposed to lead but not from foetal period. Furthermore, this study seems to corroborate that lead ingestion decreases with age, once it was measured a decrease of lead excretion by faeces with age. It was observed that lead concentration in tissues depends on the type of tissue. Mean lead concentrations measured were higher in bones (iliac, femur, tibia-fibula>skull) - hundreds of ppm, then in kidney - dozens of ppm and finally in liver on the order of ppm. The urine samples had the lowest mean lead concentrations on the order of hundreds/thousands of ppb, and faeces the highest mean lead concentrations, with values of dozens of thousands of ppm. One of the main contributions of this work was to show that lead accumulation and excretion decreases with age by plateaus in all tissues except in the kidneys.
Fundação para a Ciência e Tecnologia - PhD Grant (SFRH/BD/38788/2007); European Community Fund FEDER through the COMPETE - Project No. PEstOE/FIS/UI0303/2011
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Books on the topic "USLE"

1

Uslé, Juan. Juan Usle: 22 Riviera blue, 40 ruby. New York: John Good Gallery, 1992.

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

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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. St. John's, Nfld: Canadian Forest Service, Newfoundland and Labrador Region, 1994.

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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. Kwaluseni, Swaziland: Social Science Research Unit and Research and Publications, University of Swaziland, 1986.

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Galzote, Ronnie O. Christian morality: For exclusive use of USLS students, SY 2008-2009. Bacolod City, Philippines: University of St. La Salle, 2009.

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Tominga, Ilona. Uste taga. Tallinn: Eesti Raamat, 1991.

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Centre, Sports Council Information. Dual use & community use. London: Sports Council, 1994.

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Luke, Jeff. Use. London: Cubitt, 1999.

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Abdel-Halim, Ahmad Wagih. Passing the USMLE. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-68980-7.

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Abdel-Halim, Ahmad Wagih, Jami L. Foreback, and Trevor Banka. Passing the USMLE. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-68984-5.

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Book chapters on the topic "USLE"

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Nicks, 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.

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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.

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Patil, Rupesh Jayaram. "USLE–GIS-Based Soil Erosion Assessment: An Overview." In Spatial Techniques for Soil Erosion Estimation, 7–27. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74286-1_2.

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Foster, G. R., and L. J. Lane. "Beyond the USLE: Advancements in Soil Erosion Prediction." In Future Developments in Soil Science Research, 315–26. Madison, WI, USA: Soil Science Society of America, 2015. http://dx.doi.org/10.2136/1987.futuredevelopmentssoil.c34.

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Zhang, J. C., D. L. DeAngelis, and J. Y. Zhuang. "GIS-Based ER-USLE Model to Predict Soil Loss in Cultivated Land." In Theory and Practice of Soil Loss Control in Eastern China, 65–80. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9679-4_4.

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Desavathu, Ramprasad Naik, and Peddada Jagadeeswara Rao. "Soil Erosion Assessment of Hilly Terrain of Paderu Using USLE and GIS." In Springer Series in Geomechanics and Geoengineering, 347–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77276-9_31.

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Zhang, J. C., D. L. DeAngelis, and J. Y. Zhuang. "Application of a GIS-Based Revised FER-USLE Model in the Shangshe Catchment." In Theory and Practice of Soil Loss Control in Eastern China, 115–27. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9679-4_7.

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Bagarello, V., V. Ferro, and V. Pampalone. "A Comprehensive Check of Usle-Based Soil Loss Prediction Models at the Sparacia (South Italy) Site." In Lecture Notes in Civil Engineering, 3–11. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39299-4_1.

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Yi, Carine J. "Prediction of 137Cs-Contaminated Soil Losses by Erosion Using USLE in the Abukuma River Basin, Japan." In Communications in Computer and Information Science, 110–17. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2158-9_10.

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Song, Xuan, Liping Du, Changlin Kou, and Yongli Ma. "Assessment of Soil Erosion in Water Source Area of the Danjiangkou Reservoir Using USLE and GIS." In Information Computing and Applications, 57–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25255-6_8.

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Conference papers on the topic "USLE"

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Richard Lee Bengtson and H Magdi Selim. "USLE "C" Values for Louisiana Sugarcane." In 2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2010. http://dx.doi.org/10.13031/2013.29614.

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Richard Lee Bengtson and H Magdi Selim. "USLE "C" Values for Louisiana Sugarcane." In 2012 Dallas, Texas, July 29 - August 1, 2012. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.41712.

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Richard Lee Bengtson and H Magdi Selim. "USLE "C" Values for Louisiana Sugarcane." In 2007 Minneapolis, Minnesota, June 17-20, 2007. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2007. http://dx.doi.org/10.13031/2013.22933.

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Ashish Pandey, V.M. Chowdary, and B. C. Mal. "Watershed Prioritization Using USLE, GIS and Remote Sensing." In 2006 Portland, Oregon, July 9-12, 2006. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2006. http://dx.doi.org/10.13031/2013.20725.

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Chia-Chun Wu, Tsung-Wen Wang, Yu-Ting Chan, Ping-Chang Chiang, and Chia-Yu Yang. "Challenge to Support Practice Factor in USLE-type Platform." In 2009 Reno, Nevada, June 21 - June 24, 2009. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2009. http://dx.doi.org/10.13031/2013.27149.

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Richard L Bengtson and Jennifer Istre. "Distribution of the USLE Rainfall Erosion Indices for Southern Louisiana." In 2008 Providence, Rhode Island, June 29 - July 2, 2008. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2008. http://dx.doi.org/10.13031/2013.24627.

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Richard Lee Bengtson. "Distribution of the USLE Rainfall Erosion Indices for South Central Louisiana." In 2009 Reno, Nevada, June 21 - June 24, 2009. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2009. http://dx.doi.org/10.13031/2013.26924.

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"An alternative method for deriving a USLE nomograph K factor equation." In 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2017. http://dx.doi.org/10.36334/modsim.2017.g8.schwarzmueller.

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Ramzi, 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.

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Meshesha, Derege T., Atsushi Tsunekawa, Mitsuru Tsubo, and Nigussie Haregeweyn. "Assessment of Soil Erosion and Conservation: Application of USLE Model in Southern Ethiopia." In Environmental Management and Engineering / Unconventional Oil. Calgary,AB,Canada: ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.736-011.

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Reports on the topic "USLE"

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Longhurst, Glen Reed, Brad Johnson Merrill, and James Litton Jones. TMAP2000 Use. Office of Scientific and Technical Information (OSTI), October 2000. http://dx.doi.org/10.2172/911444.

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Burton-Jones, Andrew, Mari-Klara Stein, and Abhay Mishra. IS Use. MIS Quarterly, December 2017. http://dx.doi.org/10.25300/misq/2019/curations/12012017.

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Pisani, J. Groundwater use. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/298870.

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Longhurst, G. R., B. J. Merrill, and J. L. Jones. TMAP2000 Use. Office of Scientific and Technical Information (OSTI), October 2000. http://dx.doi.org/10.2172/776389.

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Hendriks, Chantal, Eric Arets, Jolien van Huijstee, and Eddy Teenstra. LULUCF : Land Use, Land-Use Change and Forestry. Wageningen: Wettelijke Onderzoekstaken Natuur & Milieu, 2021. http://dx.doi.org/10.18174/545713.

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Lee-Gammage, Samuel. What is land use and land use change? Edited by Tara Garnett. Food Climate Research Network, February 2018. http://dx.doi.org/10.56661/4af265b4.

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Abstract:
Human use and alteration of land has profound effects on the environment, both locally where it takes place, and at the planetary scale via climate change and other mechanisms. This building block explains what is meant by land use and land use change, both direct and indirect.
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Calvin, Katherine V., James A. Edmonds, Leon E. Clarke, Benjamin Bond-Lamberty, Son H. Kim, Marshall A. Wise, Allison M. Thomson, and G. Page Kyle. Land-use Leakage. Office of Scientific and Technical Information (OSTI), December 2009. http://dx.doi.org/10.2172/994043.

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Vann-Olejasz, Sandra L., and William K. Klimack. Enhanced Use Leasing. Fort Belvoir, VA: Defense Technical Information Center, June 2002. http://dx.doi.org/10.21236/ada405674.

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Harris, James Mark, Dorthe B. Carr, and Jamie L. Coram. IDC use cases. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1430471.

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Marshak, Ronni. Use Your Words. Boston, MA: Patricia Seybold Group, August 2010. http://dx.doi.org/10.1571/psgp08-19-10cc.

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