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Academic literature on the topic 'Water Erosion Prediction Project (WEPP) Model'

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Journal articles on the topic "Water Erosion Prediction Project (WEPP) Model"

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Srivastava, Anurag, Joan Q. Wu, William J. Elliot, Erin S. Brooks, and Dennis C. Flanagan. "Modeling Streamflow in a Snow-Dominated Forest Watershed Using the Water Erosion Prediction Project (WEPP) Model." Transactions of the ASABE 60, no. 4 (2017): 1171–87. http://dx.doi.org/10.13031/trans.12035.

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Abstract. The Water Erosion Prediction Project (WEPP) model was originally developed for hillslope and small watershed applications. Recent improvements to WEPP have led to enhanced computations for deep percolation, subsurface lateral flow, and frozen soil. In addition, the incorporation of channel routing has made the WEPP model well suited for large watersheds with perennial flows. However, WEPP is still limited in modeling forested watersheds where groundwater baseflow is substantial. The objectives of this study were to (1) incorporate nonlinear algorithms into WEPP (v2012.8) for estimating groundwater baseflow, (2) auto-calibrate the current and modified WEPP model using a model-independent parameter estimation tool, and (3) evaluate and compare the performance of the current version of WEPP without baseflow (WEPP-Cur) and the modified WEPP model with baseflow (WEPP-Mod) in simulating the hydrology of a snow-dominated watershed in the U.S. Pacific Northwest. A subwatershed of the Upper Cedar River Watershed in western Washington State was chosen for WEPP application and assessment. Simulations were conducted for two periods: 1997-2003 to calibrate the model and 2004-2011 to assess the model performance. The WEPP-Cur simulations resulted in Nash-Sutcliffe efficiency (NSE) and deviation of runoff volume (Dv) values of 0.55 and 24%, respectively, for the calibration period, and 0.60 and 21%, respectively, for the assessment period. The WEPP-Mod simulated streamflow showed improved agreement with observed streamflow, with NSE and Dv values of 0.76 and 6%, respectively, for the calibration period, and 0.74 and 2%, respectively, for the assessment period. The WEPP-Mod model reproduced hydrograph recessions during the low-flow periods and the general trend of the hydrographs, demonstrating its applicability to a watershed where groundwater baseflow was significant. The incorporation of a baseflow component into WEPP will help forest managers to assess the alterations in hydrological processes and water yield for their forest management practices. Keywords: Baseflow, Forest watershed, Hydrological modeling, Streamflow, U.S. Pacific Northwest, WEPP.
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Dennis C. Flanagan, James R. Frankenberger, Thomas A. Cochrane, Chris S. Renschler, and William J. Elliot. "Geospatial Application of the Water Erosion Prediction Project (WEPP) Model." Transactions of the ASABE 56, no. 2 (2013): 591–601. http://dx.doi.org/10.13031/2013.42681.

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Dun, Shuhui, Joan Q. Wu, William J. Elliot, Peter R. Robichaud, Dennis C. Flanagan, James R. Frankenberger, Robert E. Brown, and Arthur C. Xu. "Adapting the Water Erosion Prediction Project (WEPP) model for forest applications." Journal of Hydrology 366, no. 1-4 (March 2009): 46–54. http://dx.doi.org/10.1016/j.jhydrol.2008.12.019.

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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.

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Erosion prediction efforts are described to provide a synopsis of the USDA's experience in developing and applying soil erosion prediction technology in its research and development activities and its soil conservation programs. For almost five decades, equations to predict soil erosion by water have been useful m developing plans for controlling soil erosion and sedimentation. The Universal Soil Low Equation (USLE) is the most widely known and used of the erosion prediction equations. The USLE presents a simply understood and easily applied technology which has been of incalculable benefit to soil conservation and land management. The Chemicals, Runoff, and Erosion from Agricultural Management Systems Model (CREAMS) contains a sophisticated erosion component based, in part, on the USLE and on flow hydraulics and the processes of sediment detachment, transport, and deposition. In 1985, the USDA in cooperation with BLM and several universities initiated a national project called the Water Erosion Prediction Project (WEPP) to develop a next generation water erosion prediction technology. The Revised Universal Soil Loss Equation (RUSLE) is an update of the USLE to improve erosion prediction in the interim before WEPP is adopted and to provide and adjunct technology thereafter.
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Guo, Tian, Anurag Srivastava, and Dennis C. Flanagan. "Improving and calibrating channel erosion simulation in the Water Erosion Prediction Project (WEPP) model." Journal of Environmental Management 291 (August 2021): 112616. http://dx.doi.org/10.1016/j.jenvman.2021.112616.

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Wang, Yi, Wei He, Ting Zhang, Yani Zhang, and Longxi Cao. "Adapting the WEPP Hillslope Model and the TLS Technology to Predict Unpaved Road Soil Erosion." International Journal of Environmental Research and Public Health 19, no. 15 (July 28, 2022): 9213. http://dx.doi.org/10.3390/ijerph19159213.

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Unpaved road erosion have been recognized as important sediment sources in a watershed. To evaluate where and when road erosion occurs, the soil loss along road segments should be precisely predicted with process-based erosion models. Methods: The hillslope version of the Water Erosion Prediction Project (WEPP) was used to estimate soil loss from 20 typical road segments in the red soil region of South China. Terrestrial laser scanning (TLS)-measured soil losses were used to validate the model simulations. The results showed that the WEPP model could reasonably predict the total soil loss in relatively short (less than 100 m) and gentle (slope gradient lower than 10%) road segments. In contrast, soil loss would be underestimated for long or steep road segments. Detailed outputs along roads revealed that most of the peak soil loss rates were underestimated. It might due to the linear critical shear stress theory in the WEPP model. Additionally, the lack of upstream flow was found to be connected to the relatively low model efficiency. Nevertheless, the WEPP simulation could accurately fit erosion trend and predict the peak soil loss positions along road segments. Conclusions: The WEPP model could be adopted to evaluate the erosion risk of unpaved roads in the red soil region of South China.
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Wang, Lili, Dennis C. Flanagan, and Keith A. Cherkauer. "Development of a Coupled Water Quality Model." Transactions of the ASABE 60, no. 4 (2017): 1153–70. http://dx.doi.org/10.13031/trans.12002.

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Abstract. . Nonpoint-source (NPS) pollutants, especially from agriculture, continue to be a primary source of waterquality degradation problems. Effective land management decisions at the field scale must be made to minimize nutrient losses that could pollute streams. Existing NPS models often cannot directly estimate the impacts of different land management practices or determine the effectiveness of combined best management practices (BMPs) in a distributed way at the farm scale. In many cases, they rely on application of the Universal Soil Loss Equation (USLE) or its improved versions, which represent fields in a lumped fashion and use empirical rather than process-based modeling methodologies. In this study, a coupled Water Erosion Prediction Project and Water Quality (WEPP-WQ) model was completed, updated, improved, and evaluated for simulation of hydrology, soil erosion, and water quality. The WEPP model is a well-established process-based model that simulates runoff and erosion processes from a hillslope. The water quality components are based on those of the Soil and Water Assessment Tool (SWAT). A single overland flow element (OFE) on a hillslope is used to represent a single soil and land use management. The WEPP-WQ model was tested by comparing simulated values from the coupled model with observed nutrient and sediment concentrations in surface runoff following storm events at experimental sites near Waterloo in northeastern Indiana and at the Throckmorton Purdue Agricultural Center in west central Indiana. Time series evaluation of the WEPP-WQ model was performed with observed nutrient and sediment losses from an experimental plot near Tifton, Georgia. The model performed quite well in simulating nutrient losses for single storm events, with R2 greater than 0.8, Nash-Sutcliffe efficiency (NSE) greater than 0.65, and percent bias (PBIAS) less than 31% for runoff, sediment, nitrate nitrogen, total nitrogen, soluble phosphorus, and total phosphorus losses. In predicting time series nutrient loss, the WEPP-WQ model simulated daily nitrate nitrogen losses adequately, with the ratio of the root mean square error to the standard deviation of measured data (RSR) less than 0.7, NSE greater than 0.55, and PBIAS within the range of ±40%. Comparisons between simulated soluble phosphorus, total phosphorus, and literature results were performed due to the absence of an available observational dataset. The WEPP-WQ model with a single OFE in this study provides a basic but important step for the development of WEPP-WQ models with multiple OFEs that can evaluate the effectiveness of BMPs Keywords: Modeling, Nitrogen, Phosphorus, Soil erosion, Water quality, WEPP.
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S. Dun, J. Q. Wu, D. K. McCool, J. R. Frankenberger, and D. C. Flanagan. "Improving Frost-Simulation Subroutines of the Water Erosion Prediction Project (WEPP) Model." Transactions of the ASABE 53, no. 5 (2010): 1399–411. http://dx.doi.org/10.13031/2013.34896.

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D. C. Flanagan, J. E. Gilley, and T. G. Franti. "Water Erosion Prediction Project (WEPP): Development History, Model Capabilities, and Future Enhancements." Transactions of the ASABE 50, no. 5 (2007): 1603–12. http://dx.doi.org/10.13031/2013.23968.

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Grace III, Johnny McFero. "Predicting Forest Road Surface Erosion and Storm Runoff from High-Elevation Sites." Transactions of the ASABE 60, no. 3 (2017): 705–19. http://dx.doi.org/10.13031/trans.11646.

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Abstract. Forest roads are a concern in management because they represent areas of elevated risks associated with soil erosion and storm runoff connectivity to stream systems. Storm runoff emanating from forest roads and their connectivity to downslope resources can be influenced by a myriad of factors, including storm characteristics, management practices, and the interaction of management practices and successive storm events. Mitigating sediment export and ensuring that storm runoff has negligible impacts on downstream resources requires a more complete understanding of forest road erosion and sediment delivery dynamics. Progress in the area of road and stream connectivity issues hinges on reliable prediction tools to inform broader-scale modeling of watershed-scale effects of forest roads and management practices. In this study, the Water Erosion Prediction Project (WEPP) model was evaluated based on the results from 156 runoff-generating storm events during a continuous five-year study of nine high-elevation road sections in the Appalachian Mountains. The model adequately predicted sediment yield from the road sections with an overall Nash-Sutcliffe model efficiency (E) of 0.76, Willmott refined index of agreement (dr) of 0.56, percent error of 5%, and average storm difference (ASD) of 1.2 kg. In contrast, WEPP predictions of storm runoff were not as good, and the poor agreement was attributed to an inability to determine the source area for runoff from some of the larger runoff events. In general, the WEPP model for these high-elevation sites adequately described the sediment yield for the road sections. Keywords: Forest roads, Long-term simulation, Runoff, Sediment, Water Erosion Modeling, WEPP.
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Dissertations / Theses on the topic "Water Erosion Prediction Project (WEPP) Model"

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Zalewsky, Brian J. "Use of the Water Erosion Prediction Project (WEPP) Model to Predict Road Surface Erosion in Mountain Rangeland Areas." DigitalCommons@USU, 1998. https://digitalcommons.usu.edu/etd/3655.

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A significant source of sediment in many watersheds is that associated with the layout, construction, and maintenance of roadways. Much work has been done in more mesic forested environments with little or none in semiarid systems. Acc urate estimation of runoff and sediment yield from native surfaced roads located in semiarid mountainous ecosystems is important to both private and public regulatory agencies. The Watershed Erosion Prediction Project (WEPP) model represents the most current erosion prediction technology. WEPP has been applied to the problems of logging road erosion in more mesic forests but has not been tested or evaluated on roadways located in semiarid mountainous ecosystems. Six rainfall simulation experiments were conducted to measure runoff and sediment yield off three separate plots located on Tickville Road, located on Camp W.G. Williams, a National Guard Training Center in Utah . These data were compared with runoff and erosion estimates produced by the WEPP model. WEPP cropland and rangeland erodibility equations were used to predict rill erodibility (Kr), interrill erodibility (Ki), and critical shear (TAUc). These were tested for their effectiveness in predicting road erodibilities in these environments. A sensitivity analysis was performed on those parameters that were suspected of having a substantial impact on model output and accuracy. There was an excellent correlation between predicted and observed total runoff volumes for all simulations (R2= 0.96). The differences were greater than 10% only for plot 2 wet; otherwise, the average difference for all six simulations was 4.9%. When using Kr, K.i , and TAUc as predicted by rangeland methods, predicted sediment yields differed from those measured, on average, by 82%. Predicted sediment yields differed by only 22% compared to calculated sediment yields, when using the cropland erodibility equations to predict Kr, K.i , and TAUc. A sensitivity analysis showed that percent slope, slope length, days since last tillage, and ridge roughness all had a significant impact on WEPP predicted sediment yields. Results show the effectiveness of the WEPP model in predicting runoff and erosion off native surfaced roads in these semiarid mountainous regions.
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Garcia, Alessandra Reis. "Uso do modelo WEPP ( Water Erosion Prediction Project ) modificado para estimar taxas de erosão em estradas florestais." reponame:Repositório Institucional da UFS, 2001. https://ri.ufs.br/handle/riufs/793.

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Este trabalho teve como objetivo geral determinar o volume total de água escoada e a produção de sedimentos provenientes de segmentos de estradas florestais submetidas às condições de chuva natural e, com esses resultados, validar o modelo WEPP por meio de comparações entre dados observados e dados preditos pelo modelo. A pesquisa foi realizada no projeto de reflorestamento, povoamento de Pinus caribaea Morelet e Pinus oocarpa Schiede, pertencente à Fazenda Monte Alegre, em Agudos – São Paulo. O universo abrangido pela pesquisa foi constituído de 16 segmentos de estrada. Foram estudadas duas declividades (1 e 7%) e dois comprimentos (20 e 40 m), caracterizando quatro tratamentos: comprimento do segmento de 20 m e 1% de declividade, comprimento de 40 m e 1% de declividade, comprimento de 20 m e 7% de declividade e comprimento de 40 m e 7% de declividade. De cada tratamento foram feitas quatro repetições. Para determinação da quantidade de material erodido foram instalados tambores coletores, localizados na parte inferior das estradas. Posteriormente, os arquivos de clima, precipitação, solo, inclinação e comprimento do segmento foram introduzidos e adaptados ao modelo de predição de erosão WEPP com o propósito de dar validação a este, visando a confecção de um modelo apropriado às condições florestais brasileiras. Os resultados das análises permitiram concluir o seguinte: a) nos valores observados de volume de enxurrada, o efeito de comprimento do segmento de estrada foi significativo, ao passo que o efeito de declividade não apresentou diferença significativa; b) nos valores observados de peso do solo, o efeito de declividade do segmento foi mais significativo que o efeito de comprimento; c) nos valores de volume de enxurrada e peso do solo preditos pelo modelo WEPP, o efeito de declividade do segmento foi mais significativo que o efeito de comprimento; d) à medida que se aumentou a precipitação, ocorreu aumento quadrático do volume de enxurrada observado em todos os tratamentos; e) à medida que a precipitação aumentou, ocorreu aumento linear do peso do solo observado no comprimento do segmento de 20 m e 1% de declividade; entretanto, nos outros tratamentos, o aumento no peso do solo observado foi quadrático; f) em todos os tratamentos, o peso do solo observado cresceu exponencialmente em função do incremento no volume de enxurrada; g) na validação do modelo WEPP, os valores preditos de volume de enxurrada foram em média 166,58% superiores aos dados observados; h) os valores observados de peso do solo na declividade de 1% apresentaram variação superior de 1125,09% no segmento de estrada com 20 m de comprimento e de 724,41% no segmento com 40 m de comprimento, em relação aos valores preditos pelo modelo WEPP, indicando que, nas menores declividades, o modelo se comportou de forma não-satisfatória, subestimando as perdas; i) os valores de peso do solo preditos pelo modelo WEPP na declividade de 7% apresentaram variação superior de 6,73% no segmento de estrada com 20 m de comprimento e de 120,25% no segmento com 40 m de comprimento, em relação aos valores observados; e j) o modelo brasileiro de predição de erosão pela água (WEPP – Brasil) não se encontra totalmente calibrado para nossas condições. _________________________________________________________________________________________ ABSTRACT: The general objective of this work was to determine the total volume of the water runoff and the production of sediments from segments of forest roads under normal rainfall conditions, and, with the results, to test the WEPP model through comparisons between data observed and data predicted by the model. The research was carried out in a reforestation project with Pinus caribaea Morelet and Pinus oocarpa Schiede plantations, of the Fazenda Monte Alegre, in Agudos – São Paulo State, Brazil. The area covered by the research was of 16 road segments. Two slopes (1 and 7%) and two lengths (20 and 40 m) were studied, totalling four treatments: length of the segment of 20 m and slope of 1%; length of 40 m and slope of 1%; length of 20 m and slope of 7%; and length of 40 m and slope of 7%. Of each treatment, four repetitions were made. For the determination of amount of eroded matter, collector drums were placed in the lowest part of the roads. Later, files of climate, precipitation, soil, slope and segment length were included and adapted to the erosion prediction WEPP model, with the purpose of validating the model, viewing the elaboration of a model suited to the Brazilian forest conditions. The analyses results allowed the following conclusions: a) in the observed volumes of runoff, the effect of road segment length was significant, while the slope effect did not present a significant difference; b) in the observed values of soil weights, the slope effect of the segment was more significant than the length effect; c) in the values of runoff volume and soil weight predicted by the WEPP model, the slope effect of the segment was more significant than the length effect; d) as the precipitation increased, the runoff volume increased in a quadratic way, which was observed in all the treatments; e) as the precipitation increased, a linear increase of soil weight occurred in the segment length of 20 m and slope of 1%. However, in the other treatments, the increase observed in soil weight was quadratic; f) in all the treatments, the observed soil weight increased exponentially in function of the increase in the runoff volume; g) in the validation of the WEPP model, the runoff volumes predicted were, in average, 166.58% greater than the observed data; h) the observed soil weight values in the 1% slope presented a higher variation of 1125.09% in the road segment with length of 20 m, and 724.41% in the segment with 40 m in relation to the values predicted by the WEPP model. This indicates that, in lower slope values, the behaviour of the model was not satisfactory, subestimating losses; i) the soil weight values predicted by the WEPP model in the 7% of slope presented a higher variation of 6.73% in the road segment of 20 m, and 120.25% in the segment of 40m, in relation to the observed values; and j) the Brazilian model for prediction of erosion by water (WEPP-Brasil), is not totally adjusted to these conditions.
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Schnick, Lori H. "Using a geographic information system (GIS) and the water erosion prediction project model (WEPP) to obtain soil erodibility parameters for predicting sediment yields from urbanizing sub-basins in Montgomery County, Maryland, U.S.A." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 1.59 Mb., 90 p, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:1430750.

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Dun, Shuhui. "Adapting WEPP (Water Erosion Prediction Project) for forest watershed erosion modeling." Online access for everyone, 2006. http://www.dissertations.wsu.edu/Thesis/Summer2006/S%5FDun%5F073106.pdf.

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Srivastava, Anurag Dougherty Mark Zech Wesley C. "Application and evaluation of WEPP in a forested watershed with perennial streams." Auburn, Ala., 2010. http://hdl.handle.net/10415/2036.

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Parker, Ronald Dean 1948. "The effect of spatial variability on output from the water erosion prediction project soil erosion computer model." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/191165.

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Spatial variability is all that stands between hydrology and science, forcing us to deal in probabilities and averages. Because of scale, we can not consider forces on individual soil particles, water molecules and solute ions when addressing human size problems. We must therefore look at aggregate properties and mean values for parameters and inputs in computer modeling of hydrologic phenomena. This research explores the impact of spatially variable inputs on the Water Erosion Prediction Project soil erosion computer program. Distributions of input variables are generated and assigned randomly to a grid of homogeneous rangeland hillslope elements. Values for runoff volume and sediment loss from each flow path are recorded and averaged to provide a distribution of outputs in the form of a sensitivity analysis. Variabilities of slope, slope length, soil textures, soil characteristics, terrain, convex and concave slopes, soil saturation, rainfall amount and vegetation were examined. Results show that use of mean inputs values in the WEPP representative hillslope model yields very similar outputs to the spatially variable research model using a distribution of inputs in all simulations in the case of totally random bare rangeland soils. When a decreasing trend in soil clay content is introduced in the variable model, the hillslope model using average values as inputs no longer provides a good estimate of the sediment loss. When random vegetation is generated and added to the simulation, runoff volume continues to be similar between the two models, but the sediment loss is much higher in the spatially variable model. In addition, the results of the standard hillslope model are much less responsive to changes in slope than those of the spatially variable model. It is concluded that spatial variability of soils must be considered when there is a linear change in input values with slope position. Likewise spatial variability of vegetation needs to be addressed in order to accurately estimate erosion on the rangeland watersheds considered in this dissertation. It is also found that this type of simulation provides a model for sensitivity analysis of a complex computer programs. Physically related inputs can be generated in such a way as to preserve the desired interrationships and distributions of inputs can be directly compared to generated distributions of outputs.
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Liou, Ruei-Cheng, and 劉睿呈. "Evaluation of soil losses at Laopi terrace by using Water Erosion Prediction Project (WEPP) model and its validation by in-situ soil loss estimation." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/40435363888488939388.

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碩士
國立屏東科技大學
水土保持系所
104
Well understanding of soil erosion situation can help us to make a suitable management strategy in a watershed. Universal Soil Loss Equation (USLE) is a popular equation to predict soil loss contents, but its parameters should be still revised based on local climate conditions, topography and etc.. United State Agricultural Department (USDA) attempts to develop another model, Water Erosion Prediction Project (WEPP), to predict sediment production on slopelands to compensate USEL in precision of soil loss prediction. This study used WEPP model to predict sediment production in different land uses at Laopi terrace under a tropical climates. We also set up erosion piles in different land uses at Laopi terrace to validate the prediction values. The results indicated that WEPP model might effectively predict sediment production in pineapple, bare land, and areca farms due to small relative error ranged from 19% to 46% found between predicted and measured values, particularly in “flowpath” model. We concluded that some parameters of WEPP model should be further revised when we used it under tropical climates, particularly in “watershed” model.
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(8735910), Josept David Revuelta Acosta Sr. "WATER-DRIVEN EROSION PREDICTION TECHNOLOGY FOR A MORE COMPLICATED REALITY." Thesis, 2020.

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Hydrological modeling has been a valuable tool to understand the processes governing water distribution, quantity, and quality of the planet Earth. Through models, one has been able to grasp processes such as runoff, soil moisture, soil erosion, subsurface drainage, plant growth, evapotranspiration, and effects of land use changes on hydrology at field and watershed scales. The number and diversity of water-related challenges are vast and expected to increase. As a result, current models need to be under continuous modifications to extend their application to more complex processes. Several models have been extensively developed in recent years. These models include the Soil and Water Assessment Tool (SWAT), Variable Infiltration Capacity (VIC) model, MIKE-SHE, and the Water Erosion Prediction Project (WEPP) model. The latter, although it is a well-validated model at field scales, the WEPP watershed model has been limited to small catchments, and almost no research has been introduced regarding water quality issues (only one study).

In this research, three objectives were proposed to improve the WEPP model in three areas where either the model has not been applied, or modifications can be performed to improve algorithms of the processes within the model (e.g. erosion, runoff, drainage). The enhancements impact the WEPP model by improving the current stochastic weather generation, extending its applicability to subsurface drainage estimation, and formulating a new routing model that allows future incorporation of transport of reactive solutes.

The first contribution was development of a stochastic storm generator based on 5-min time resolution and correlated non-normal Monte Carlo-based numerical simulation. The model considered the correlated and non-normal rainstorm characteristics such as time between storms, duration, and amount of precipitation, as well as the storm intensity structure. The model was tested using precipitation data from a randomly selected 5-min weather station in North Carolina. Results showed that the proposed storm generator captured the essential statistical features of rainstorms and their intensity patterns, preserving the first four moments of monthly storm events, good annual extreme event correspondence, and the correlation structure within each storm. Since the proposed model depends on statistical properties at a site, this may allow the use of synthetic storms in ungauged locations provided relevant information from a regional analysis is available.

A second development included the testing, improvement, and validation of the WEPP model to simulate subsurface flow discharges. The proposed model included the modification of the current subsurface drainage algorithm (Hooghoudt-based expression) and the WEPP model percolation routine. The modified WEPP model was tested and validated on an extensive dataset collected at four experimental sites managed by USDA-ARS within the Lake Erie Watershed. Predicted subsurface discharges show Nash-Sutcliffe Efficiency (NSE) values ranging from 0.50 to 0.70, and percent bias ranging from -30% to +15% at daily and monthly resolutions. Evidence suggests the WEPP model can be used to produce reliable estimates of subsurface flow with minimum calibration.

The last objective presented the theoretical framework for a new hillslope and channel-routing model for the Water Erosion Prediction Project (WEPP) model. The routing model (WEPP-CMT) is based on catchment geomorphology and mass transport theory for flow and transport of reactive solutes. The WEPP-CMT uses the unique functionality of WEPP to simulate hillslope responses under diverse land use and management conditions and a Lagrangian description of the carrier hydrologic runoff at hillslope and channel domains. An example of the model functionality was tested in a sub-catchment of the Upper Cedar River Watershed in the U.S. Pacific Northwest. Results showed that the proposed model provides an acceptable representation of flow at the outlet of the study catchment. Model efficiencies and percent bias for the calibration period and the validation period were NSE = 0.55 and 0.65, and PBIAS = -2.8% and 2.1%, respectively. The WEPP-CMT provides a suitable foundation for the transport of reactive solutes (e.g. nitrates) at basin scales.


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Parker, Ronald Dean. "The effect of spatial variability on output from the water erosion prediction project soil erosion computer model." 1991. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_1991_192_sip1_w.pdf&type=application/pdf.

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Books on the topic "Water Erosion Prediction Project (WEPP) Model"

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Elliot, William J. Water erosion prediction project (WEPP) forest applications. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1997.

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Elliot, William J. Water erosion prediction project (WEPP) forest applications. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1997.

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Water Erosion Prediction Project (WEPP) Forest Applications, General Technical Report INT-GTR-365, U.S. Department of Agriculture (Microfiche). Agriculture Department - Forest Service, 1997.

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Book chapters on the topic "Water Erosion Prediction Project (WEPP) Model"

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Flanagan, Dennis C., James C. Ascough, Mark A. Nearing, and John M. Laflen. "The Water Erosion Prediction Project (WEPP) Model." In Landscape Erosion and Evolution Modeling, 145–99. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0575-4_7.

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Nearing, M. A., and A. D. Nicks. "Evaluation of the Water Erosion Prediction Project (WEPP) Model for Hillslopes." In Modelling Soil Erosion by Water, 43–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58913-3_5.

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Wang, Li, Joan Q. Wu, William J. Elliot, Shuhui Dun, Sergey Lapin, Fritz R. Fiedler, and Dennis C. Flanagan. "Implementation of channel-routing routines in the Water Erosion Prediction Project (WEPP) model." In Proceedings of the 2009 SIAM Conference on “Mathematics for Industry”, 120–27. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2010. http://dx.doi.org/10.1137/1.9781611973303.14.

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"Description Of The Us Department Of Agriculture Water Erosion Prediction Project (Wepp) Model." In Overland Flow, 375–88. CRC Press, 1992. http://dx.doi.org/10.1201/b12648-21.

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Conference papers on the topic "Water Erosion Prediction Project (WEPP) Model"

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Dennis C Flanagan, James R Frankenberger, Thomas A Cochrane, Christian S Renschler, and William J Elliot. "Geospatial Application of the Water Erosion Prediction Project (WEPP) Model." In International Symposium on Erosion and Landscape Evolution (ISELE), 18-21 September 2011, Anchorage, Alaska. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2011. http://dx.doi.org/10.13031/2013.39277.

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Abaci, O., and A. N. Papanicolaou. "Evaluating the Performance of the Water Erosion Prediction Project (WEPP) Model for Larger Watersheds." In World Environmental and Water Resources Congress 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40976(316)333.

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Abaci, O., and A. N. Papanicolaou. "Identifying the Equilibrium Conditions for an Agricultural Iowa Catchment Using the Water Erosion Prediction Project (WEPP) Model." In World Environmental and Water Resources Congress 2007. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40927(243)617.

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Anurag Srivastava, Mariana Dobre, Emily Bruner, William J Elliot, Ina S Miller, and Joan Q Wu. "Application Of The Water Erosion Prediction Project (WEPP) Model To Simulate Streamflow In A PNW Forest Watershed." In International Symposium on Erosion and Landscape Evolution (ISELE), 18-21 September 2011, Anchorage, Alaska. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2011. http://dx.doi.org/10.13031/2013.39238.

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Moore, Dalton, Madisen Hetman, Sarah Nuss, and Adrienne Rygel. "USING THE WATER EROSION PREDICTION PROJECT (WEPP) MODEL TO ASSESS EROSION POTENTIAL AND SEDIMENT LOADING OF THE GRASSE RIVER, ST. LAWRENCE COUNTY, NEW YORK." In Joint 52nd Northeastern Annual Section and 51st North-Central Annual GSA Section Meeting - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017ne-290065.

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"Predicted Influence of Eastern Redcedar Removal on Water Quantity and Quality Using the Water Erosion Prediction Project (WEPP)." In 2015 ASABE International Meeting. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/aim.20152176482.

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Srivastava, Anurag, Joan Q. Wu, William J. Elliot, and Erin S. Brooks. "Enhancements to the Water Erosion Prediction Project (WEPP) for Modeling Large Snow-Dominated Mountainous Forest Watersheds." In Watershed Management Symposium 2015. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479322.019.

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Dennis C. Flanagan, James R. Frankenberger, and Charles R. Meyer. "Water Erosion Prediction Project (WEPP) Technology for Assessment of Runoff, Soil Loss and Sediment Yield Potential." In 2006 Portland, Oregon, July 9-12, 2006. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2006. http://dx.doi.org/10.13031/2013.20707.

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Howard, Evan, and Brendan Roddy. "Evaluation of the water erosion prediction project model – validation data from sites in Western Australia." In Seventh International Conference on Mine Closure. Australian Centre for Geomechanics, Perth, 2012. http://dx.doi.org/10.36487/acg_rep/1208_09_howard.

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Xie, Hongxia, Qing Zhou, Shengyun Zheng, Haitao Wang, Min Zhang, and Yadong Guo. "Spatio-Temporal Change of the Cover and Management Factor in the Soil Erosion Prediction Model in Hunan Province, China * This research was supported by the Project of National Natural Science Foundation of China (41371184) and Water Science and Technology Program of Hunan Province in China (2017-230-40)." In 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics). IEEE, 2018. http://dx.doi.org/10.1109/agro-geoinformatics.2018.8476016.

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Reports on the topic "Water Erosion Prediction Project (WEPP) Model"

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Elliot, William, and David Hall. Fuels planning: science synthesis and integration; environmental consequences fact sheet 12: Water Erosion Prediction Project (WEPP) Fuel Management (FuMe) tool. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2005. http://dx.doi.org/10.2737/rmrs-rn-23-v12.

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