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Predicting Rainfall Erosion Losses

Predicting Rainfall Erosion Losses PDF Author: Walter H. Wischmeier
Publisher:
ISBN:
Category : Agricultural conservation
Languages : en
Pages : 70

Book Description
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.

Predicting Rainfall Erosion Losses

Predicting Rainfall Erosion Losses PDF Author: Walter H. Wischmeier
Publisher:
ISBN:
Category : Agricultural conservation
Languages : en
Pages : 70

Book Description
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.

Predicting Rainfall-erosion Losses from Cropland East of the Rocky Mountains

Predicting Rainfall-erosion Losses from Cropland East of the Rocky Mountains PDF Author: Walter H. Wischmeier
Publisher:
ISBN:
Category : Erosion
Languages : en
Pages : 54

Book Description


Predicting Rainfall-erosion Losses from Cropland East of the Rocky Mountains

Predicting Rainfall-erosion Losses from Cropland East of the Rocky Mountains PDF Author: Axel Langvad Andersen
Publisher:
ISBN:
Category : Agricultural laws and legislation
Languages : en
Pages : 1152

Book Description


A Universal Equation for Predicting Rainfall-erosion Losses

A Universal Equation for Predicting Rainfall-erosion Losses PDF Author: United States. Agricultural Research Service
Publisher:
ISBN:
Category : Erosion
Languages : en
Pages : 16

Book Description


Predicting Soil Erosion by Water

Predicting Soil Erosion by Water PDF Author: Kenneth G. Renard
Publisher:
ISBN:
Category : Geophysical prediction
Languages : en
Pages : 412

Book Description
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.

A Universal Equation for Predicting Rainfall-erosion Losses

A Universal Equation for Predicting Rainfall-erosion Losses PDF Author:
Publisher:
ISBN:
Category : Erosion
Languages : en
Pages : 0

Book Description


An Universal Equation for Predicting Rainfall-Erosion Losses: An Aid to Conservation Farming in Humid Regions (Classic Reprint)

An Universal Equation for Predicting Rainfall-Erosion Losses: An Aid to Conservation Farming in Humid Regions (Classic Reprint) PDF Author: U. S. Agricultural Research Service
Publisher: Forgotten Books
ISBN: 9780666925565
Category : Business & Economics
Languages : en
Pages : 20

Book Description
Excerpt from An Universal Equation for Predicting Rainfall-Erosion Losses: An Aid to Conservation Farming in Humid Regions Ars scientists have developed a soil-loss predicting equation that promises to be a significant contribution to safe, productive use of the Nation's soil. The equation's chief merit is versatility-it can be used wherever rain causes significant erosion losses. Its value in predicting longtime, localized soil losses has been established. It can be used to define the conservation practices needed for a given field to limit soil losses to tolerable levels. It provides a mathematical approach to conservation farm planning. Research is continuing to improve the equation, to increase the accuracy of its factors, and to extend its scope and usefulness. This report describes how research into the factors of rainfall erosion has resulted in the development of a practical equation. Also, it explains how the equation works. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

Use of the Universal Soil Loss Equation in Water Quality Assessment

Use of the Universal Soil Loss Equation in Water Quality Assessment PDF Author: Marc Jay Rogoff
Publisher:
ISBN:
Category : Sediments, Suspended
Languages : en
Pages : 24

Book Description


A Guide for Predicting Sheet and Rill Erosion on Forest Land

A Guide for Predicting Sheet and Rill Erosion on Forest Land PDF Author: George E. Dissmeyer
Publisher:
ISBN:
Category : Forest soils
Languages : en
Pages : 48

Book Description


Ravine Lands: Greening for Livelihood and Environmental Security

Ravine Lands: Greening for Livelihood and Environmental Security PDF Author: Jagdish Chander Dagar
Publisher: Springer
ISBN: 9811080437
Category : Technology & Engineering
Languages : en
Pages : 636

Book Description
This book, the only one of its kind on ravine lands, reflects the significant advances made over the past two decades in our understanding of gully erosion, its controlling factors, and various aspects of gully erosion. It also addresses central research gaps and unanswered questions, which include historical studies on gully erosion to better understand the different stages of their formation; appropriate measuring techniques for monitoring or assessing the geological and hydrological parameters and processes involved in gully development; interaction of hydrological and other soil degradation processes; ecology and biodiversity of fragile ravines; impact of climate and environmental changes on soil erosion processes; development of effective and reliable gully erosion models; effective gully prevention and control measures; watershed-based management options; and ravine rehabilitation policies. The present book is a highly timely publication and deals with various aspects of ravine ecology and rehabilitation of degraded lands, particularly with the aid of biological approaches. As such, it offers a valuable guide for all scientists working in the fields of soil conservation / rehabilitation and agroforestry, students, environmentalists, educationists, and policymakers. More importantly, it focuses on the rehabilitation of one of the world’s most degraded and fragile ecosystems, ensuring the livelihoods of resource-poor farmers and landless families living in harsh ecologies that are more vulnerable to climate change.