2 edition of **Universal soil loss equation** found in the catalog.

Universal soil loss equation

- 236 Want to read
- 29 Currently reading

Published
**1979** by The Society in Madison, Wis .

Written in English

- Universal soil loss equation -- Congresses.

**Edition Notes**

Includes bibliographies.

Statement | sponsored by Division S-6 of the Soil Science Society of America ; organizing committee, Arthur E. Peterson, James B. Swan ; co-editors, Arthur E. Peterson, James B. Swan, coordinating editor, Matthias Stelly, managing editor, David M. Kral, assistant editor, Judith H. Nauseef. |

Series | SSSA special publication ; no. 8, SSSA special publication ;, no. 8. |

Contributions | Peterson, Arthur Edwin, 1923- , Swan, James B., Soil Science Society of America. Division S-6. |

Classifications | |
---|---|

LC Classifications | S622.2 .U54 |

The Physical Object | |

Pagination | vii, 53 p. ; |

Number of Pages | 53 |

ID Numbers | |

Open Library | OL4430358M |

ISBN 10 | 0891187669 |

LC Control Number | 79063115 |

This video was created by Group 1 of Dr. Ochsner's Fall Soil Physics class at Oklahoma State University. It's purpose is to provide an understanding of how the Universal Soil Loss Equation. The Revised Universal Soil Loss Equation and Relating Rain Energy to Erosion Yield. The Universal Soil Loss Equation (USLE) (Wischmeier and Smith ) was based on many years of data from ab small test plots from throughout the US. Each test plot had about 22 m flow lengths and were all operated in a similar manner, allowing the soil. Universal Soil Loss Equation (USLE) and to test the utility of equation in various situations. The Soil Science Society of America is pleased to present this special publication of the proceedings of a symposium on USLE includ ing a review of soil erosion control measures. The authors are outstanding. This is followed by a history of soil erosion research in the US, a summary of federal conservation programs, and a concise history of the development of the USLE, including a timeline. The page also includes relevant historical photographs. USDA ARS. “WEPP.” USDA ARS National Soil Erosion Research Laboratory. October 2, Cited by: 2.

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Foreword. Soil erosion has been a serious problem for agriculture back through the centuries. When man started to cultivate the soil and plant and husband crops, soil erosion was accelerated.

Prevention or reduction of soil erosion keeps the most fertile layer, the top soil, in the field, avoiding losses of plant nutrient elements and organic matter. Book: Universal Soil Loss Equation: Past, Present, and Future, SSSA Special Publication 8, Soil erosion has been a serious problem for agriculture back through the centuries.

When man started to cultivate the soil and plant and husband crops, soil erosion was accelerated. Universal soil loss equation book Prevention or reduction of soil erosion keeps the most fertile layer, the top soil, in the field, avoiding losses of plant nutrient Universal soil loss equation book and organic matter.

Universal Soil Loss Equation is used for estimating soil losses: Assume Cortland, New York, as the locale of a construction site. The disturbed site is 50 acres in size, with an average gradient of 8% and an average slope length of feet.

The soil is File Size: 1MB. Universal Soil Loss Equation (RUSLE),” is the reference manual for RUSLE This handbook 1Renard, K. G., G. Foster, G. Weesies, D. McCool, and D. Yoder, coordinators. Predicting Soil Erosion by Water: A Guide to Conservation Planning Universal soil loss equation book the Revised Universal Soil Loss EquationFile Size: KB.

Revised Universal Soil Loss Equation, Version 2 Official NRCS RUSLE2 Program and Official NRCS Database. This site contains the official NRCS version of RUSLE2.

It is the only version of RUSLE2 to be used for official purposes by NRCS field offices. The NRCS developed and maintains the database components on this site. The Revised Universal Soil Loss Equation (RUSLE) predicts soil loss from interrill (sheet) and rill erosion caused by rainfall and associated overland flow.

RUSLE is an erosion prediction model that enables conservation planners to predict the long-term average Universal soil loss equation book Size: 2MB. • the ratio of soil loss from land under specified crop or mulch conditions to the corresponding soil loss from tilled, bare soil • the C factor reduces the soil loss estimate according to the effectiveness of vegetation and mulch at preventing detachment and transport of soil particles (erosion control)File Size: KB.

RUSLE (Revised Universal Soil Loss Equation) more accurately represents long-term averages. The RUSLE uses the simple equation (A = R x K x LS x C x P). Where ‘A’ is the average annual soil loss in tons/acre/year, ‘R’ is the rainfall-runoff erosivity factor, ‘K’ Universal soil loss equation book.

Universal Soil Loss Equation (USLE) A = R x K x LS x Universal soil loss equation book x P. A represents the potential long-term average annual soil loss in tonnes per hectare (tons per acre) per year.

This is the amount, which is compared to the "tolerable soil loss" #: / Universal Soil Loss Equation (USLE) The USLE, developed by ARS scientists W.

Wischmeier and D. Smith, has been the most widely accepted and utilized soil loss equation for over 30 years. Designed as a method to predict average annual soil loss caused by sheet and rill erosion, the USLE is often criticized for its lack of applications.

The soil loss equation presented in this hand- book Universal soil loss equation book become known (57);as the Universal Soil Loss tionEquation (USLE). Regardless of whether the designation is fully accurate, Universal soil loss equation book name does dis- tinguish this equation from the regionally based soil loss equations.

The USLE was developed (5,at the National Runoff and Soil Loss Data Center estab. Universal Soil Loss Equation: (Wischmeier and Smith) A = RKLSCP A = Computed soil loss per unit area (tons per acre) R = Rainfall factor # of erosion index units in a normal year's rain.

Erosion index is a measure of the erosive force of a specific rainfall K = Soil erodability factor erosion rate/unit of erosion index for a specific soil inFile Size: KB. The USLE soil loss equation is: A = R K L S C P () where A is the computed soil loss per unit area, expressed in the units selected for K and for the period selected for R (in common practice these are usually selected such that they compute A, soil loss in File Size: KB.

The Universal Soil Loss Equation (USLE), has been the workhorse of erosion prediction and conservation planning technology in the U. and even worldwide. Inat a meeting of U. Department of Agriculture and other erosion researchers, it was decided that the USLE should be revised to incorporate additional research and technology Cited by: TABLEOFCONTENTS IllinoisErosionControlProgram 1 TheUniversalSoilLossEquation(USEE) 1 Rainfall(R)Factor 2 SoilErodibility(K)Factor 2 SlopeLengthandSteepness(LS)Factor 3 CroppingandManagement(C)Factor 3 ConservationPractices(P)Factor 5 UsingtheUSEE 6 WorkingthroughSomeExamples 6 SolvingtheUSEEforC 7 GettingHelp 7 Tables.

The Universal Soil Loss Equation (USLE) is a widely used mathematical model that describes soil erosion processes.

[1] 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.

soil loss without the effect of a growing crop, crop residues, or practice factor. The predicted average annual soil loss is found by multiplying a CP factor by a fallow soil loss amount from Table I. “T” is not a part of the Universal Soil Loss Equation.

It is a limit of the average annual loss that an acre ofFile Size: KB. The process of water erosion has been described by the USDA Universal Soil Loss Equation (USLE), later modified to the Revised Universal Soil Loss Equation (RUSLE).

These equations, originally developed to predict soil loss or movement from agricultural fields, but since expanded to include forestlands and rangelands, are instructional because they enumerate the factors.

The Universal Soil Loss Equation (USLE) is a mathematical model developed to predict the soil erosion by rainfall and surface runoff on a field. The empirical result of the USLE corresponds to a long-term average annual rate of soil losses under a variety of climatic conditions, soil types, topographic characteristics, crop systems, and conservation practices.

Version 2 of the Revised Universal Soil Loss Equation (RUSLE2) is a new model with new features and. capabilities that estimates soil loss, sediment yield, and sediment characteristics from rill and interrill (sheet and.

rill) erosion caused by rainfall and its associated overland flow. The Revised Universal Soil Loss Equation (RUSLE), which is a computerized version of USLE with improvements in many of the factor estimates, was initially released for public use in Work is continuing on a further-enhanced Windows version of the software, known as RUSLE2.

Universal Soil Loss Equation A = R K L S C P. RUSLEFAC: Revised Universal Soil Loss Equation for Application in Canada: a Handbook for Estimating Soil Loss from Water Erosion in Canada Issues of Contribution (Eastern Cereals and Oilseeds Research Centre (Canada))) Contributors: G.

Wall, Eastern Cereal and Oilseed Research Centre (Canada) Publisher. Predicting Soil Erosion by Water: A Guide to Conservation Planning With the Revised Universal Soil Loss Equation (Rusle) Hardcover – March 1, by K. Renard (Author) See all formats and editions Hide other formats and editions.

Price New from Used from Author: K. Renard. Predicting Soil Erosion by Water: A Guide to Conservation Planning With the Revised Universal Soil Loss Equation (Agriculture handbook) Ex - Lib Edition by Kenneth G.

Renard (Author) ISBN ISBN Why is ISBN important. ISBN. This bar-code number lets you verify that you're getting exactly the right version or Cited by: Title: Predicting Soil Erosion by Water: A Guide to Conservation Planning With the Revised Universal Soil Loss Equation (RUSLE) Author: K.

Renard, G. Foster, G. Get this from a library. Universal soil loss equation, USLE. [R P Stone; Ontario. Ministry of Agriculture, Food and Rural Affairs.]. A manual entitled Use of the Revised Universal Soil Loss Equation (RUSLE1) Mined Lands, Construction Sites, and Reclaimed Lands is available from the USDI-Office of Surface Mining, Reclamation, and Regulation that provides information concerning application of RUSLE to mining, construction, and reclamation sites.

Universal Soil Erosion Equation For questionsdetermine what the rate of soil erosion will be without factoring in sustainability measures for two different sites in Jordan.

Use the formula A= KR(LS)C. This equation provides an estimate of the Soil Loss Rate in tons/hectare/ Size: 1MB.

Universal Soil Loss Equation and Revised Universal Soil Loss Equation K. Renard USDA‐ARS, Southwest Watershed Research Center, East Allen Road, Tucson, AZ ‐, USACited by: The Universal Soil Loss Equation and its revisions are widely used, but a common limitation of these models is that they cannot describe the time-varying process of soil erosion.

Revised Universal Soil Loss Equation (RUSLE), an online tool for soil erosion assessment and conservation planning. 18 Using universal soil loss equation for soil erosion assesment in agricultural land Factor LS is a coefficient resulting from the co mbination of two parameters: slopes length and slopes.

Central Vietnam is very susceptible to soil erosion due to its complicated terrain and heavy rainfall. The objective of this study was to quantify soil erosion in the A Sap river basin, A Luoi district, Thua Thien Hue Province, Vietnam, using the Universal Soil Loss Equation (USLE) and Geographical Information System (GIS).Cited by: 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. The loss of soil mass over time for a specific land mass is known as soil erosion. It affects farming, construction projects and house owners living near oceans, rivers and terrestrial slopes.

To predict the soil erosion due to water, scientists developed a formula known as the Universal Soil loss equation. : Predicting Soil Erosion by Water: A Guide to Conservation Planning With the Revised Universal Soil Loss Equation (Agriculture handbook) () by Renard, Kenneth G.

and a great selection of similar New, Used and Collectible Books available now at 1/5(1). See Revised Universal Soil loss Equation.

Cite this entry as: () Universal soil loss equation. In: Chesworth W. (eds) Encyclopedia of Soil Science.

Revised Universal Soil Loss Equation, Version 2 (RUSLE2) Official NRCS RUSLE2 Program. Official NRCS Database. This site contains the official NRCS version of RUSLE2. It is the only version of RUSLE2 to be used for official purposes by NRCS field offices. The NRCS developed and maintains the database components on this site.

Get this from a library. Universal soil loss equation: past, present, and future: proceedings of a symposium: the papers were presented during the annual meetings in Los Angeles, California, November[Arthur Edwin Peterson; James B Swan; Soil Science Society of.

The Universal Soil Pdf Equation (USLE) is used to estimate the long- term average amount of soil displaced by pdf forces of rainfall and water runoff along a specified slope. Similarly, an equation has been devel- oped that represents soil loss caused by wind; however, the Wind Erosion Equation (WEE) is far less accurate than the USLE.

Predicting Soil Erosion by Water: A Guide to Conservation Planning With the Revised Universal Soil Loss Equation (Agriculture .Ebook its predecessor, the Universal Soil Loss Equation (USLE), RUSLE2 is used in the United States to guide conservation planning, and predict soil and sediment loads from upland areas.

RUSLE2 relies on a statistical approach to estimate soil loss from actual field and site situations.