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"
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.
Full textDennis 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.
Full textDun, 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.
Full textLane, 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.
Full textGuo, 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.
Full textWang, 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.
Full textWang, 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.
Full textS. 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.
Full textD. 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.
Full textGrace 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.
Full textDissertations / Theses on the topic "Water Erosion Prediction Project (WEPP) Model"
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.
Full textGarcia, 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.
Full textSchnick, 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.
Full textDun, 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.
Full textSrivastava, 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.
Full textParker, 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.
Full textLiou, 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.
Full text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.
(8735910), Josept David Revuelta Acosta Sr. "WATER-DRIVEN EROSION PREDICTION TECHNOLOGY FOR A MORE COMPLICATED REALITY." Thesis, 2020.
Find full textHydrological 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.
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.
Full textBooks on the topic "Water Erosion Prediction Project (WEPP) Model"
Elliot, William J. Water erosion prediction project (WEPP) forest applications. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1997.
Find full textElliot, William J. Water erosion prediction project (WEPP) forest applications. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1997.
Find full textWater Erosion Prediction Project (WEPP) Forest Applications, General Technical Report INT-GTR-365, U.S. Department of Agriculture (Microfiche). Agriculture Department - Forest Service, 1997.
Find full textBook chapters on the topic "Water Erosion Prediction Project (WEPP) Model"
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.
Full textNearing, 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.
Full textWang, 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.
Full text"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.
Full textConference papers on the topic "Water Erosion Prediction Project (WEPP) Model"
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.
Full textAbaci, 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.
Full textAbaci, 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.
Full textAnurag 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.
Full textMoore, 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.
Full text"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.
Full textSrivastava, 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.
Full textDennis 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.
Full textHoward, 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.
Full textXie, 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.
Full textReports on the topic "Water Erosion Prediction Project (WEPP) Model"
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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