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Thursday, July 16, 2020 | History

2 edition of Predicting rainfall erosion losses found in the catalog.

Predicting rainfall erosion losses

Walter H. Wischmeier

Predicting rainfall erosion losses

a guide to conservation planning

by Walter H. Wischmeier

  • 347 Want to read
  • 27 Currently reading

Published by Dept. of Agriculture, Science and Education Administration : for sale by the Supt. of Docs., U.S. Govt. Print. Off. in [Washington] .
Written in English

    Subjects:
  • Erosion -- United States

  • Edition Notes

    StatementWalter H. Wischmeier and Dwight D. Smith ; prepared by Science and Education Administration
    SeriesAgriculture handbook ; no. 537, Agriculture handbook (United States. Dept. of Agriculture) -- no. 537
    ContributionsSmith, Dwight David, 1905- joint author, United States. Science and Education Administration, Purdue University. Agricultural Experiment Station
    The Physical Object
    Pagination58 p. :
    Number of Pages58
    ID Numbers
    Open LibraryOL14838910M

    Predicting rainfall-erosion losses from cropland east of the Rocky Mountains: guide for selection of practices for soil and water conservation / Author: Wischmeier, Walter H., Author: Smith, Dwight David, Note. RUSLE2 is an upgrade of the text-based RUSLE DOS version 1. It is a computer model containing both empirical and process-based science in a Windows environment that predicts rill and interrill erosion by rainfall and runoff. The USDA-Agricultural Research Service .

    Annual erosion losses from experimental plots under a variety of soil types, vegetation cover densities and conservation practices in Iraq have been measured over a period of four years. The first three years of this data set demonstrate that annual erosion losses can be predicted from annual rainfall depths. The results obtained from regression analysis were then validated with the fourth. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE) Author: US EPA, OW, OWM, Water Permits Division Subject: Contains information on the R factor. Keywords: npdes, soil erosion, r factor, rusle.

    reference: Predicting Rainfall Erosion Losses: A Guide to Conservation Planning. Agriculture Handbook No. JSON YAML text HTML Turtle N-Triples JSON . Universal equation for predicting rainfall-erosion losses. [Washington, D.C.]: Agricultural Research Service, United States Department of Agriculture, (OCoLC)


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Predicting rainfall erosion losses by Walter H. Wischmeier Download PDF EPUB FB2

1 ke^predicting - rainfall erosion losses f a guide to conservation planning m k united states agriculture prepared by.

Get this from a library. Predicting rainfall erosion losses: a guide to conservation planning. [Walter H Wischmeier; Dwight David Smith; United States. Science and Education Administration.; Purdue University.

Agricultural Experiment Station.] -- The Universal Soil Loss Equation (USLE) enables planners to predict the average rate of soil erosion for each feasible alternative combination of. Predicting Rainfall Erosion Losses: A Guide to Conservation Planning.

Agriculture Handbook No. report. 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. Predicting Rainfall-erosion Losses from Cropland East of the Rocky Mountains: Guide for Selection of Practices for Soil and Water Conservation Issue of Agriculture Handbook, United States.

Science and Education Administration: Authors: Walter H. Wischmeier, Dwight David Smith: Contributors: United States. Dept. of Agriculture, United States. Wischmeier, W.H.

and C, D.D. () Predicting rainfall erosion losses - A guide to conservation planning. In: Predicting rainfall erosion losses book rainfall erosion losses - A guide to conservation planning. Department of Agriculture, USA, pp.

Book: Predicting rainfall erosion losses - a guide to conservation planning pp pp. ref Abstract: Scientific planning planning Subject Category: Techniques, Methodologies and Equipment see more details for soil and water conservation water conservation Subject Category: Miscellaneous.

Predicting rainfall erosion losses: a guide to conservation planning () by W H Wischmeier, D D Smith Add To MetaCart. Tools. Sorted by: Results 1 - 10 of Next 10 → Modeling topographic potential for erosion and deposition using GIS. " Predicting rainfall-erosion losses from cropland east of the Rocky Mountains " " Predicting rainfall erosion losses from cropland east of the Rocky Mountains " " guide for selection of practices for soil and water conservation " Bibliographic information Language: English Type.

Wischmeier, W. and Smith, D. () Predicting Rainfall Erosion Losses from Cropland East of the Rocky Mountains Guide for Selection of Practices for Soil and Water Conservation. U.S. Department of Agriculture Handbook No. Wischmeier, W.H.

and Smith, D.D. () Predicting Rainfall Erosion Losses: A Guide to Conservation Planning. U.S. Department of Agriculture, Agriculture Handbook No. USDA. has been cited by the following article: TITLE: Using Geotechnology to Estimate Annual Soil Loss Rate in the Brazilian Cerrado.

Frequency and cumulative soil loss distributions are obtained by combining verified annual and maximum daily rainfall frequency distributions with a proposed erosion algorithm.

This stochastic representation of erosion permits to evaluate soil losses for the maximum annual storm, as well as annual erosion rates as a function of recurrence interval. PREDICTING RAINFALL EROSION LOSSES— A GUIDE TO CONSERVATION PLANNING Waiter H. Wischmeier and Dwight D.

Smith^ PURPOSE OF HANDBOOK Scientific planning for. This approach has been adopted because, given that rainfall is not distributed evenly through time, it can be argued that rainfall erosion predicted by WEPP is influenced more by climate variability than predictions produced by the Universal Soil Loss Equation (USLE; Wischmeier and Smith,Wischmeier and Smith, ) based models like.

The USLE erosivity empirically explains much of the variance in the soil loss from natural rainfall erosion plots. Hill Book Co., New Predicting rainfall erosion losses. A guide to. Predicting Rainfall Erosion Losses, Agricultural HandBook n° (Wischmeier, W.H. et Smith.D) 7. Predicting Soil érosion by Water: A Guide to.

Predicting rainfall erosion losses: a guide to conservation planning [USA] [] Wischmeier, W.H. Smith, D.D. United States. Science and Education Administration; Indiana (USA).

Agricultural Experiment Station [Corporate Author]. Predicting rainfall erosion losses: A guide to conservation planning (Agriculture handbook) Paperback – Import, January 1, by Walter H Wischmeier (Author) See all formats and editions Hide other formats and editions.

Price New from Used from Paperback, Import, January 1, "Please retry" $ — $ Author: Walter H Wischmeier. Supersedes Predicting rainfall-erosion losses from cropland east of the Rocky Mountains, Agriculture handbook no.issued May Issued Dec.

Bibliography: p. Series Agriculture handbook ; no.Agriculture handbook (United States. Dept. of Agriculture) -- no. Pages: Wischmeier, W.H., and Smith D.D. Predicting rainfall erosion losses: a guide to conservation planning. Agriculture Handbook No.

US Department of Agriculture. The Universal Soil Loss Equation (USLE) is a widely used mathematical model that describes soil erosion processes. Erosion models play critical roles in soil and water resource conservation and nonpoint source pollution assessments, including: sediment load assessment and inventory, conservation planning and design for sediment control, and for the advancement of scientific understanding.Predicting rainfall-erosion losses from cropland east of the Rocky Mountains guide for selection of practices for soil and water conservation by Walter H.

Wischmeier. Published by Agricultural Research Service, U.S. Dept of Agriculture in cooperation with Purdue Agricultural Experiment Station in Washington, : PREDICTING RAINFALL EROSION LOSSES DIREKTORAAT: LANDBOU-INGENIEURSWESE EN WATERVOORSIENING DIR. ÂORATE: AGRICULTURAL ENGINEERING AND WATER SUPPLY Departement van Landbou en Watervoorsiening Department of Agriculture and Water Supply Privaatsak Republiek van Suld-Afrlka Private Bag Silverton, Republic of South