Download or read book Regional Sheet and Rill Soil Erosion Prediction with the Revised Universal Soil Loss Equation RUSLE GIS Interface written by Jacek S. Blaszczynski and published by . This book was released on 2001 with total page 2 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Regional Soil Loss Prediction Utilizing the RUSLE GIS Interface written by J. Blaszczynski and published by . This book was released on 1992 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: The revised universal soil loss equation (RUSLE) for rangelands was successfully interfaced with geographic information systems (GIS). The procedure utilizes raster processing capabilities of the map analysis and processing system (MAPS) to overlay data themes containing spatially distributed values for differentRUSLE factors. Within the limitations in accuracy of the USLE style calculation, cell processing, and information contained in input data layers, the methodology produces a map of relative levels of soil erosion potential which reflects the effects of rainfall, soil type, terrain, vegetation, and erosion control practice on soil loss. Improvements in processing to obtain the terrain (LS) factor from digital elevation models (DEMs) permit quick calculation of soil loss potential for large areas. Since the resolution of the product is determined by the quality and availability of the data, the methodology could be applied differentially to various areas and data sets to produce maps of low, medium, and high resolution. The flexibility of the procedure permits modeling of various management alternatives by changing values for the appropriate factors to reflect changing conditions. Furthermore, the RUSLE/GIS interface can be interfaced with other GIS models. All of the preceding indicate that the RUSLE/GIS interface has potential for and could be adapted for soil degradation studies on a global scale. The following is a conceptual summary of the procedure and is meant to provide only a quick overview of the methodology.
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 Engineering Hydrology Three Volume Set written by Saeid Eslamian and published by CRC Press. This book was released on 2018-10-03 with total page 1920 pages. Available in PDF, EPUB and Kindle. Book excerpt: While most books examine only the classical aspects of hydrology, this three-volume set covers multiple aspects of hydrology, and includes contributions from experts from more than 30 countries. It examines new approaches, addresses growing concerns about hydrological and ecological connectivity, and considers the worldwide impact of climate change
Download or read book Handbook of Engineering Hydrology written by Saeid Eslamian and published by CRC Press. This book was released on 2014-03-21 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: While most books examine only the classical aspects of hydrology, this three-volume set covers multiple aspects of hydrology. It examines new approaches, addresses growing concerns about hydrological and ecological connectivity, and considers the worldwide impact of climate change.It also provides updated material on hydrological science and engine
Download or read book Using GIS and the RUSLE Model to Create an Index of Potential Soil Erosion at the Large Basin Scale and Discussing the Implications for Water Planning and Land Management in Morocco written by Madeline Lacy Clark and published by . This book was released on 2015 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Severe erosion rates endanger the drinking water and agroforestry sectors in Morocco. To determine ways to improve erosion mitigation in Morocco, this study examined the political landscape underpinning research and policy implementation nation-wide. It also conducted a case study for erosion modeling in the most important river basin for drinking water in Morocco, the Bouregreg Basin. In this case study, 15 erosion scenarios were constructed in ArcMap according to the Revised Universal Soil Loss Equation (RUSLE), the most commonly used tool to predict erosion in Morocco, to determine the effect of variation in data inputs on the quantity and severity of sheet and rill erosion. Results indicate that average annual erosion rates in the Basin are minimal to moderate, with localized areas experiencing severe rates over 25 tons/hectares/year, indicating that channel and gully erosion rather than sheet or interill erosion dominate in the basin. Increased DEM resolution from 30 to 90 meters amplified predicted erosion rates by a factor of 10, and variation in precipitation between the highest and lowest agricultural years yielded a difference in maximum erosion rates of nearly 60,000 tons/hectares/year. These results indicate that the spatial resolution of datasets and variation in climatic factors produce substantial differences in model output and may bias policy-making in light of variation in data management practices and the potential effects of climate change. In order for Morocco to reach its goal of implementing Integrated Water Resource Management (IWRM), operators and researchers should collaborate at the basin level and establish best data management practices in the drinking water and agro-forestry sectors of Morocco. To achieve these changes, this study recommends that decision makers reexamine how they fund and support erosion research and mitigation, and that all stakeholders coordinate to both compile data to develop empirical and process-based erosion models fitted to Morocco and calibrate these models through investing in representative field studies.
Download or read book A Guide for Predicting Sheet and Rill Erosion on Forest Land written by George E. Dissmeyer and published by . This book was released on 1984 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Soil Erosion written by Shakeel Mahmood and published by BoD – Books on Demand. This book was released on 2024-01-10 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soil erosion is a global environmental challenge with profound consequences for land, water, and ecosystems. This book, Soil Erosion - Risk Modelling and Management, takes you on a comprehensive exploration of the intricate science and practical strategies for understanding, predicting, and addressing soil erosion. Inside the pages of this volume, you’ll find a wealth of unique insights, innovative methodologies, and illuminating case studies from diverse regions around the world. Whether you’re a student, researcher, or practitioner, this book is an essential resource for gaining a deep understanding of soil erosion and discovering effective solutions to this critical environmental issue. The book delves into the intricate science of soil erosion, providing readers with a solid foundation in the principles and processes involved. It helps readers grasp the underlying causes and mechanisms of erosion, making it an invaluable resource for students and researchers in environmental science and related fields. The book is a vital resource that addresses one of the most pressing environmental challenges of our time. It combines scientific insights with practical solutions, making it an essential tool for anyone seeking to understand, address, and combat soil erosion’s far-reaching impacts on our planet’s health and well-being.
Download or read book Assessment of Soil Erosion by Revised Universal Soil Loss Equation RUSLE and GIS written by Kim Huat Tan and published by . This book was released on 2000 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Predicting Rainfall Erosion Losses written by Walter H. Wischmeier and published by . This book was released on 1978 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Universal Soil Loss Equation (USLE) enables planners to predict the average rate of soil erosion for each feasible alternative combination of crop system and management practices in association with a specified soil type, rainfall pattern, and topography. When these predicted losses are compared with given soil loss tolerances, they provide specific guidelines for effecting erosion control within specified limits. The equation groups the numerous interrelated physical and management parameters that influence erosion rate under six major factors whose site-specific values can be expressed numerically. A half century of erosion research in many States has supplied information from which at least approximate values of the USLE factors can be obtained for specified farm fields or other small erosion prone areas throughout the United States. Tables and charts presented in this handbook make this information readily available for field use. Significant limitations in the available data are identified.
Download or read book Modelling Sheet and Rill Erosion Using GIS written by Daniel David Meldrum and published by . This book was released on 1999 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Spatial Techniques for Soil Erosion Estimation written by Rupesh Jayaram Patil and published by Springer. This book was released on 2018-02-06 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a novel computation of the topographic LS factor of the USLE model to estimate spatial soil erosion. In developing countries, soil erosion is one of the main concerns as it adversely affects agriculture and reduces food production. Therefore, the author presents a particularly relevant approach, as he demonstrates how the C++ programming allows us to identify important erosion stages like detachment and deposition. He does this by assessing the annual rate of soil erosion from the Shakkar River watershed in India using distributed information and applying RS and GIS techniques. He also discusses different approaches that have been proposed to work out the influence of topography on erosion. Simulated and observed data of sediment loss are compared for the period 1992 to 2006.This book provides an easy-to-understand basic piece of soil erosion and hydrological research and reaches out to young researchers and students at the graduate and undergraduate level as well as applicants of soil erosion models.
Download or read book Predicting Soil Loss Using the Universal Soil Loss Equation written by and published by . This book was released on 1981 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluation of RUSLE 2 to Estimate Soil Loss from Pastures written by Stasha Katrina Balkissoon and published by . This book was released on 2016 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: The accurate estimation of soil erosion by the Revised Universal Soil Loss Equation version 2 (RUSLE2) is critical for several conservation assessments, least of which is its use in the Phosphorus Index (PI) to identify and rank the vulnerability of agricultural fields to phosphorus (P) runoff. Earlier versions of RUSLE reported a soil loss overestimation, which were revised to give RUSLE2, where biomass production in different climatic regions was more accurately represented. RUSLE version 2.0, which contains the new vegetative biomass production routine, was evaluated using two performance indices, the Nash Sutcliffe Efficiency Index (NSE) and Index of Agreement (D) across 27 cattle grazed fields in Southeastern U.S. An overall NSE of -0.164 and D of 0.242, indicated RUSLE2 poorly predicts soil loss for this region. Further investigation was needed to understand the reason for these poor soil loss estimates by RUSLE2. RUSLE2 estimates of soil loss are based on Hortion overflow sediment delivery from daily storm events accrued to an annual soil loss along a given field slope. Compared with measured sediment delivery from seven tall fescues (Festuca arundinacea) fields in northwest Arkansas over five years, with various manure and grazing management, sediment delivery estimated by RUSLE2 was acceptable, with log NSE (1.4). However, RUSLE2 over-predicted the number of storm events between 2009 - 2013 for all seven fields, from field collected rainfall- intensity data which created the localized 5- years erosivity values. Over-prediction on the number of storm events would lead to an increase in annual soil loss estimate. A need for a lower restrictive rainfall threshold value that does not initiate field runoff, and in turn, sediment delivery, particularly in grassland system, needs to be incorporated into RUSLE2 soil loss estimates.
Download or read book Using the Revised Universal Soil Loss Equation RUSLE with a GIS to Calculate Potential Soil Erosion Within a Grassland dominated Catchment in Conwy County Borough written by Koronso Redae Gebru and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Soil erosion the greatest challenge for sustainable soil management written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2019-05-16 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite almost a century of research and extension efforts, soil erosion by water, wind and tillage continues to be the greatest threat to soil health and soil ecosystem services in many regions of the world. Our understanding of the physical processes of erosion and the controls on those processes has been firmly established. Nevertheless, some elements remain controversial. It is often these controversial questions that hamper efforts to implement sound erosion control measures in many areas of the world. This book, released in the framework of the Global Symposium on Soil Erosion (15-17 May 2019) reviews the state-of-the-art information related to all topics related to soil erosion.
Download or read book Pioneering Soil Erosion Prediction written by John M. Laflen and published by . This book was released on 2003 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt:
