Download or read book Use of the Water Erosion Prediction Project WEPP Model to Predict Road Surface Erosion in Mountain Rangeland Areas written by Brian J. Zalewsky and published by . This book was released on 1998 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Water Erosion Prediction Project WEPP Forest Applications written by William J. Elliot and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Water Erosion Prediction Project (WEPP) soil erosion model is a process based model to predict runoff, soil erosion, and sediment delivery. WEPP input files, described in this publication, predict soil erosion from forest roads, harvest areas, and burned areas. These files are part of a growing database.
Download or read book Modeled Outsloped Forest Road Surface Erosion Using the Water Erosion Prediction Project WEPP Model written by Hakjun Rhee and published by . This book was released on 1999 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modeling Forest Road Surface Erosion Using the Water Erosion Prediction Project WEPP Model written by Hakjun Rhee and published by . This book was released on 1999 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book USDA Water Erosion Prediction Project written by L. J. Lane and published by . This book was released on 1989 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adapting WEPP Water Erosion Prediction Project for Forest Watershed Erosion Modeling written by Shuhui Dun and published by . This book was released on 2006 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Erosion Modelling written by R. P. C. Morgan and published by John Wiley & Sons. This book was released on 2011-06-09 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: The movement of sediment and associated pollutants over the landscape and into water bodies is of increasing concern with respect to pollution control, prevention of muddy floods and environmental protection. In addition, the loss of soil on site has implications for declining agricultural productivity, loss of biodiversity and decreased amenity and landscape value. The fate of sediment and the conservation of soil are important issues for land managers and decision-makers. In developing appropriate policies and solutions, managers and researchers are making greater use of erosion models to characterise the processes of erosion and their interaction with the landscape. A study of erosion requires one to think in terms of microseconds to understand the mechanics of impact of a single raindrop on a soil surface, while landscapes form over periods of thousands of years. These processes operate on scales of millimetres for single raindrops to mega-metres for continents. Erosion modelling thus covers quite a lot of ground. This book introduces the conceptual and mathematical frameworks used to formulate models of soil erosion and uses case studies to show how models are applied to a variety of purposes at a range of spatial and temporal scales. The aim is to provide land managers and others with the tools required to select a model appropriate to the type and scale of erosion problem, to show what users can expect in terms of accuracy of model predictions and to provide an appreciation of both the advantages and limitations of models. Problems covered include those arising from agriculture, the construction industry, pollution and climatic change and range in scale from farms to small and large catchments. The book will also be useful to students and research scientists as an up-to-date review of the state-of-art of erosion modelling and, through a knowledge of how models are used in practice, in highlighting the gaps in knowledge that need to be filled in order to develop even better models.
Download or read book Water Erosion Estimation in Topographically Complex Landscapes written by Carlos Alberto Bonilla and published by . This book was released on 2006 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Predicting Soil Erosion by Water written by Kenneth G. Renard and published by . This book was released on 1997 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction and history; Rainfall-runoff erosivity factor (R); Soil erodibility factor (K); Slope length and steepness factors (LS); Cover-management factor (C); Support practice factor (P); RUSLE user guide; Coversion to SI metric system; Calculation of EI from recording-raingage records; Estimating random roughness in the field; Parameter values for major agricultural crops and tillage operations.
Download or read book Handbook of Erosion Modelling written by R. P. C. Morgan and published by John Wiley & Sons. This book was released on 2016-04-13 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: The movement of sediment and associated pollutants over thelandscape and into water bodies is of increasing concern withrespect to pollution control, prevention of muddy floods andenvironmental protection. In addition, the loss of soil on site hasimplications for declining agricultural productivity, loss ofbiodiversity and decreased amenity and landscape value. The fate ofsediment and the conservation of soil are important issues for landmanagers and decision-makers. In developing appropriate policiesand solutions, managers and researchers are making greater use oferosion models to characterise the processes of erosion and theirinteraction with the landscape. A study of erosion requires one to think in terms ofmicroseconds to understand the mechanics of impact of a singleraindrop on a soil surface, while landscapes form over periods ofthousands of years. These processes operate on scales ofmillimetres for single raindrops to mega-metres for continents.Erosion modelling thus covers quite a lot of ground. This bookintroduces the conceptual and mathematical frameworks used toformulate models of soil erosion and uses case studies to show howmodels are applied to a variety of purposes at a range of spatialand temporal scales. The aim is to provide land managers and otherswith the tools required to select a model appropriate to the typeand scale of erosion problem, to show what users can expect interms of accuracy of model predictions and to provide anappreciation of both the advantages and limitations of models.Problems covered include those arising from agriculture, theconstruction industry, pollution and climatic change and range inscale from farms to small and large catchments. The book will alsobe useful to students and research scientists as an up-to-datereview of the state-of-art of erosion modelling and, through aknowledge of how models are used in practice, in highlighting thegaps in knowledge that need to be filled in order to develop evenbetter models.
Download or read book Modelling Soil Erosion by Water written by John Boardman and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: TO THE MODEL EVALUATION 1. MODELLING SOIL EROSION BY WATER l 2 John Boardman and David Favis-Mortlock 1 School of Geography and Environmental Change Unit Mansfield Road University of Oxford Oxford OX1 3TB UK 2 Environmental Change Unit University of Oxford 5 South Parks Road Oxford OX1 3UB UK Introduction This volume is the Proceedings of the NATO Advanced Research Workshop 'Global Change: Modelling Soil Erosion by Water', which was held on II-14th September 1995, at the University of Oxford, UK. The meeting was also one of a series organised by the IGBP 1 GCTE Soil Erosion Network, which is a component of GCTE's Land Degradation Task (3.3.2) (Ingram et aI., 1996; Valentin, this volume). One aim of the GCTE Soil Erosion Network is to evaluate the suitability of existing soil erosion models for predicting the possible impacts of global change upon soil erosion. Due to the wide range of erosion models currently, in use or under development, it was decided to evaluate models in the following sequence Favis-Mortlock et al., 1996): • field-scale water erosion models • catchmenr-scale water erosion models • wind erosion models • models with a landscape-scale and larger focus. As part of this strategy, the first stage of the GCTE validation of field-scale erosion models was carried out at the Oxford NATO-ARW. I A list of Acronyms fonns Appendix A.
Download or read book Water Erosion Prediction Project WEPP Fuel Management FuMe Tool written by William J. Elliot and published by . This book was released on 2005 with total page 2 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Water Erosion Prediction Project (WEPP) Fuel Management (FuMe) tool was developed to estimate sediment generated by fuel management activities. WEPP FuMe estimates sediment generated for 12 fuel-related conditions from a single input. The conditions are an undisturbed forest, three severities of wildfire, three severities of prescribed fire, two severities of thinning, and three levels of road traffic.
Download or read book Modeling Erosion and Sediment Delivery on Mountain Roads in Upper Deep Creek written by Rebecca Louise Franklin and published by . This book was released on 2012 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Upper Deep Creek is a 250-square mile sub-watershed that is located in a mountainous, forested region of the San Bernardino National Forest in San Bernardino county in Southern California. It is widely acknowledged that in mountainous, forested watersheds, roads are a primary source of excess sediment that can enter stream networks and cause environmental degradation. The goal of this project was to screen the Upper Deep Creek road network using two erosion prediction models, the Washington Road Surface Erosion Model (WARSEM) and the Watershed Erosion Prediction Project (WEPP:Road), in order to identify road segments that are contributing significant amounts of sediment to the stream system, and to test the predictions of the models using a field sediment collection method.
Download or read book USDA Water Erosion Prediction Project WEPP written by USDA-water erosion prediction project and published by . This book was released on 1987 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book From Watersheds to the Web written by Sue Miller and published by . This book was released on 2014 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forest erosion can lead to topsoil loss, and also to damaging deposits of sediment in aquatic ecosystems. For this reason, forest managers must be able to estimate the erosion potential of both planned management activities and catastrophic events, in order to decide where to use limited funds to focus erosion control efforts. To meet this need, scientists from RMRS (and collaborators) have spent over a decade developing a suite of online tools that can be used to predict erosion potential of forest alterations such as road building, forest management, and wildfire, as part of the Forest ServiceWater Erosion Prediction Project (FS-WEPP). WEPP: Road was designed for predicting erosion from roadsa chronic source of forest sedimentand provides an estimate of the average annual sediment delivery of a road or road network. The Erosion Risk Management Tool (ERMiT) can estimate of the amount of post-fire erosion, and it also allows the user to evaluate the effect of different erosion control treatments options. Disturbed WEPP allows managers to model erosion from many disturbed forest and rangeland erosion conditions (such as management activities), including low and high severity burns.
Download or read book Improved Estimation of Splash and Sheet Erosion in Rangelands Development and Application of a New Relationship and New Approaches for Sensitivity and Uncertainty Analyses written by Haiyan Wei and published by . This book was released on 2007 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soil erosion is a key issue in rangelands, but current approaches for predicting soil erosion are based on research in croplands and may not be appropriate for rangelands. An improved model is needed that accounts for the dominant erosion processes that operate in rangelands rather than croplands. In addition, effective application of such a model of rangeland erosion requires improved methods for assessing both model sensitivity and uncertainty if the model is to be applied confidently in natural resources management. I developed a new equation for calculating the combined rate of splash and sheet erosion (Dss, kg/m2) using existing rainfall-simulation data sets from the western United States that is distinct from that for croplands: Dss = Kss I 1.052q0.592, where Kss is the splash and sheet erosion coefficient, I (m/s) is rainfall intensity, and q (mm/hr) is runoff rate. This equation, which accounts for inter-relationship between I and q, was incorporated into a new model, the Rangeland Hydrology and Erosion Model (RHEM). This new model was better at predicting observed erosion rates than the commonly used, existing soil erosion model Water Erosion Prediction Project (WEPP). New approaches for assessing model uncertainty and sensitivity were developed and applied to the model. The new approach for quantifying localized sensitivity indices, when combined with techniques such as correlation analysis and scatter plots, can be used effectively to compare the sensitivity of different inputs, locate sensitive regions in the parameter space, decompose the dependency of the model response on the input parameters, and identify nonlinear and incorrect relationships in the model. The approach for assessing model predictive uncertainty, called"Dual-Monte-Carlo"(DMC), uses two Monte-Carlo sampling loops to not only calculate predictive uncertainty for one input parameter set, but also examine the predictive uncertainty as a function of model inputs across the full range of parameter space. Both approaches were applied to RHEM and yielded insights into model behavior. Collectively, this research provides an important advance in developing improved predictions of erosion rates in rangelands and simultaneously provides new approaches for model sensitivity and uncertainty analyses that can be applied to other models and disciplines.
Download or read book Using WEPP Technology to Predict Erosion and Runoff Following Wildfire written by William J. Elliot and published by . This book was released on 2006 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Erosion following wildfire can be as much as 1000 times the erosion from an undisturbed forest. In August, 2005, the largest fire in the lower 48 states occurred in the Umatilla National Forest in Southeast Washington. Researchers from the Rocky Mountain Research Station assisted the forest in estimating soil erosion using three different applications of the WEPP model. GeoWEPP was used to determine the onsite distribution of soil erosion. WEPP Windows Watershed Version was used to estimate peak runoff rates of each of the ten small watersheds analyzed. The ERMiT interface to WEPP was used to estimate the probability of erosion amounts on selected hillslopes, and the benefits of mulching those slopes. Within the three days available for analysis, about 38 percent of the burned area was analyzed. This paper summarizes the analytical methods, and the findings of the prediction runs.
