Development and application of modern soil erosion prediction technology - The USDA experience

Soil Research ◽  
1992 ◽  
Vol 30 (6) ◽  
pp. 893 ◽  
Author(s):  
LJ Lane ◽  
KG Renard ◽  
GR Foster ◽  
JM Laflen
Keyword(s):  
Soil Erosion ◽  
Soil Conservation ◽  
Water Erosion ◽  
Systems Model ◽  
Erosion Prediction ◽  
Modern Soil ◽  
Water Erosion Prediction Project ◽  
Applied Technology ◽  
Flow Hydraulics ◽  
Soil Erosion By Water

Erosion prediction efforts are described to provide a synopsis of the USDA's experience in developing and applying soil erosion prediction technology in its research and development activities and its soil conservation programs. For almost five decades, equations to predict soil erosion by water have been useful m developing plans for controlling soil erosion and sedimentation. The Universal Soil Low Equation (USLE) is the most widely known and used of the erosion prediction equations. The USLE presents a simply understood and easily applied technology which has been of incalculable benefit to soil conservation and land management. The Chemicals, Runoff, and Erosion from Agricultural Management Systems Model (CREAMS) contains a sophisticated erosion component based, in part, on the USLE and on flow hydraulics and the processes of sediment detachment, transport, and deposition. In 1985, the USDA in cooperation with BLM and several universities initiated a national project called the Water Erosion Prediction Project (WEPP) to develop a next generation water erosion prediction technology. The Revised Universal Soil Loss Equation (RUSLE) is an update of the USLE to improve erosion prediction in the interim before WEPP is adopted and to provide and adjunct technology thereafter.

A Process-Based Soil Erosion Model for USDA-Water Erosion Prediction Project Technology

1989 ◽  
Vol 32 (5) ◽  
pp. 1587-1593 ◽  
Author(s):  
M. A. Nearing ◽  
G. R. Foster ◽  
L. J. Lane ◽  
S. C. Finkner
Keyword(s):  
Soil Erosion ◽  
Water Erosion ◽  
Erosion Model ◽  
Erosion Prediction ◽  
Water Erosion Prediction Project

scholarly journals Sediment Yield Modeling in The Coastal Region of Syria Using the WEPP-Model

2020 ◽  
Author(s):  
Safwan Mohammed
Keyword(s):  
Soil Erosion ◽  
Eastern Mediterranean ◽  
Model Performance ◽  
Coastal Region ◽  
Heavy Precipitation ◽  
Water Erosion ◽  
Erosion Prediction ◽  
Soil Erosion By Water ◽  
Experimental Plots ◽  
Burned Forest

<p>Soil erosion by water is a serious problem in the coastal region of Syria. Annually, a hundred tons of soil are eroded from different ecosystems in the study area. Recently, The USDA-WEPP (Water Erosion Prediction Project erosion model) was widely used to estimate soil loss by water erosion. Unfortunately, detailed studies about the WEPP-model performance in the eastern Mediterranean in general and Syria, in particular, are still lacking. Within this context, this research undertook an assessment of the WEPP-model performance in the coastal region of Syria.</p><p>The study area is characterized by complex topography (slope ranges between 2% and 45%), heavy precipitation within short time intervals, and mixed land cover. On other hand, the most exposed ecosystems to soil erosion are agricultural (AG), burned forest (BF) and forest (FO). For this reason, experimental plots with 3 replicants in 9 different representative locations for each ecosystem were set up (81 experimental plots in total) to measure soil erosion by water. In the next step, the WEPP input files were prepared and run for each location. Finally, the WEPP performance was tested by using four statistical indexes: Pearson's correlation coefficient (r), the Nash-Sutcliffe coefficient (NSE), the percent bias (PBIAS), and RSR (the ratio of root mean square error (RMSE) to the standard deviation of the measured data).</p><p>The results showed that observed soil erosion ranges between 32 ton/h/year and 165 ton/h/year in the AG, while it ranges from 3 ton/h/year to 8 ton/h/year in the FO. Similarly, WEPP results range between 32 ton/h/year and 152 ton/h/year in the AG, while they range from 1.4 ton/h/year to 15 ton/h/year in the FO. The model performance showed a good agreement between measured and estimated values for AG systems (R =0.96, NSE=0.84; RSR=0.39; PBAIS=13.05), and a less satisfactory one for both forest and burned forest.</p>

scholarly journals Evaluation of the effects of land consolidation in the Latyczyn village in terms of land protection against erosion on the slope scale

2017 ◽  
Vol 35 (1) ◽  
pp. 203-209
Author(s):  
Roman Rybicki
Keyword(s):  
Water Erosion ◽  
Crop Rotations ◽  
Land Consolidation ◽  
Protection Measures ◽  
Land Protection ◽  
Erosion Prediction ◽  
Water Erosion Prediction Project ◽  
Additional Protection ◽  
Remedial Actions ◽  
Soil Erosion By Water

AbstractSoil erosion by water is an important economical issue strongly deteriorating environment and requiring remedial actions. The study was designed to evaluate antierosion effect of changes in the layout of plots from along to across slope as an effect of land consolidation. Moreover, rightness of leaving newly set out boundaries of plots without any protection (i.e. sodding) was evaluated. For this purpose simulations of use of additional anti-erosive measures were done. The Water Erosion Prediction Project (WEPP) model was used. Studies have shown that in addition to the design of transverse layout of parcels during consolidation, further antierosion measures may be necessary to reduce soil loss and sediment yield. In order to minimize soil losses outside the slope, boundaries between the newly designed fields should be sodded already in the post consolidation management. Limitation the amount of erosion over the entire slope requires use of additional protection measures in the upper part of slopes e.g. shelterbelts and antierosion crop rotations. WEPP model can be recommended for Provincial Bureaus of Surveying as a tool to support the development of assumptions for consolidation projects of lands threatened by erosion.

scholarly journals Studying rainfall changes and water erosion of soil by using the WEPP model in Lattakia, Syria

2016 ◽  
Vol 61 (4) ◽  
pp. 375-386 ◽  
Author(s):  
Safwan Mohammed ◽  
Issa Kbibo ◽  
Omran Alshihabi ◽  
Elien Mahfoud
Keyword(s):  
Soil Erosion ◽  
Soil Water ◽  
Water Erosion ◽  
Rainfall Amount ◽  
Agricultural System ◽  
Storm Events ◽  
Natural Sources ◽  
Erosion Prediction ◽  
Water Erosion Prediction Project ◽  
General Average

Changes of soil erosion and rainfall have been simulated by using the Water Erosion Prediction Project (WEPP) model between 2016 and 2039 in Lattakia, Syria. This study was conducted in 6 locations that are characterized by two different ecosystems (agricultural, forest). The results show a linear decrease in rainfall amount of about 7.11 mm per year (170 mm for the whole studying period). For the years 2025, 2026 and 2030, three snowy storm events have been predicted, while the year 2030 will record the highest rainfall amount of 1816.1 mm. According to the WEPP model, the average of estimated soil erosion amount in Alhamara has reached 19 t/ha/y for the agricultural system while it is estimated to be 2.03 t/ha/y for the forest system. The general average of soil erosion in the study area (taking into consideration the variety of slope) within the agricultural system has reached 14.086 t/ha/y, which indicates that there will be a dangerous impact of future erosion on the sustainability of natural sources (soil, water) in the study area.

Geospatial Application of the Water Erosion Prediction Project (WEPP) Model

2011 ◽  
Author(s):  
Dennis C Flanagan ◽  
James R Frankenberger ◽  
Thomas A Cochrane ◽  
Christian S Renschler ◽  
William J Elliot
Keyword(s):  
Water Erosion ◽  
Erosion Prediction ◽  
Water Erosion Prediction Project

Testing a new rill flow resistance approach using the Water Erosion Prediction Project experimental database

2018 ◽  
Vol 33 (4) ◽  
pp. 616-626 ◽  
Author(s):  
Alessio Nicosia ◽  
Costanza Di Stefano ◽  
Vincenzo Pampalone ◽  
Vincenzo Palmeri ◽  
Vito Ferro ◽  
...  
Keyword(s):  
Flow Resistance ◽  
Water Erosion ◽  
Experimental Database ◽  
Erosion Prediction ◽  
Water Erosion Prediction Project ◽  
Resistance Approach ◽  
Rill Flow

scholarly journals Comparação de taxas de erosão em estradas florestais estimadas pelo modelo WEPP (Water Erosion Prediction Project) modificado em relção a medições experimentais

2003 ◽  
Vol 27 (3) ◽  
pp. 295-300 ◽  
Author(s):  
Carlos Cardoso Machado ◽  
Alessandra Reis Garcia ◽  
Elias Silva ◽  
Alessandro Machado Fontes
Keyword(s):  
Water Erosion ◽  
Erosion Prediction ◽  
Water Erosion Prediction Project

O objetivo do trabalho foi testar o modelo WEPP (Water Erosion Prediction Project), através de comparações entre volume de enxurrada e perda de solo observados experimentalmente, provenientes dos segmentos de estradas florestais submetidas à chuva natural com inclinações de 1 e 7% e comprimentos de rampa de 20 e 40 m, e aqueles preditos pelo aplicativo, visando o desenvolvimento de um modelo brasileiro de predição de erosão em estradas florestais. Na determinação da quantidade do material erodido foram instalados tambores coletores, com capacidade de 209,25 litros, localizados na parte inferior das estradas, onde foram inseridas tubulações de PVC de 2 polegadas para coleta dos sedimentos provenientes da estrada propriamente dita. Nos tambores coletores foram feitos orifícios nivelados e perfeitamente iguais, posicionados a 0,65 m do fundo do primeiro e a 0,60 m do fundo do segundo, que funcionaram como um divisor Geib. Nas parcelas de 20 e 40 m de comprimento foram feitos cinco e sete orifícios, respectivamente, no primeiro e segundo tambores. O terceiro tambor foi utilizado para coletar o excedente da enxurrada proveniente do segundo tambor. Os tambores foram ligados em série, através de cano PVC de 2 polegadas. Os dados de volume e intensidade de precipitação diária foram obtidos com a instalação de pluviômetro e pluviógrafo no local. O período de coleta de dados foi de um ano, concentrando-se na época das chuvas. Posteriormente, os arquivos de clima, precipitação, solo, inclinação e comprimento do segmento foram introduzidos e adaptados ao modelo de predição de erosão WEPP com o propósito de testá-lo, visando a confecção de um modelo apropriado às condições brasileiras.

scholarly journals Uso de Técnicas de Geoprocessamento para Estudo da Erosão Hídrica Laminar em Bacia Hidrográfica do Sudoeste do Paraná.

2020 ◽  
Vol 13 (3) ◽  
pp. 1117
Author(s):  
Julio Caetano Tomazoni ◽  
Ana Paula Vansan
Keyword(s):  
Soil Erosion ◽  
Soil Conservation ◽  
Soil Loss ◽  
Satellite Images ◽  
Water Erosion ◽  
Soil Samples ◽  
Universal Equation ◽  
Erosion Rates ◽  
Loss Estimate

Este trabalho tem como objetivo avaliar a erosão hídrica laminar do solo, por meio da Equação Universal de Perdas de Solos Revisada (RUSLE) na bacia hidrográfica do rio São José, localizada no município de Francisco Beltrão (PR).  A perda de solo média anual (A) foi determinada através da RUSLE para os anos 2000, 2005, 2009, 2015 e 2017 utilizando-se técnicas de geoprocessamento com o auxílio do software ArcGis 10.0. O fator erosividade da chuva (R) foi determinado utilizando-se dados pluviométricos correspondentes ao período de 1974 a 2016. O fator erodibilidade do solo (K) foi obtido através da análise de amostras de solo coletadas in loco. O fator topográfico (LS) foi estimado por meio dos dados altimétricos e hidrográficos da bacia. Os fatores de uso e manejo do solo (C) e de práticas conservacionistas do solo (P) foram determinados por meio da caracterização multitemporal do uso e ocupação do solo, através de imagens de satélite. O potencial natural de erosão (PNE) foi determinado pela multiplicação dos fatores R, K e LS.A estimativa de perda de solo (A) foi determinada pela multiplicação do PNE pelos fatores C e P.  Use of Geoprocessing Techniques to Study Laminar Water Erosion in Watershed of Southwest Paraná A B S T R A C TThe objective of this work is evaluate the soil erosion by the Universal Equation of Soil Losses Revised (RUSLE) in the São José river basin, located in the municipality of Francisco Beltrão (PR). The average annual soil loss (A) was determined through RUSLE for the years 2000, 2005, 2009, 2015 and 2017 using geoprocessing techniques with ArcGis 10.0 software. Rainfallerosivity (R) was determined using rainfall data from 1974 to 2016, being determined at 11521.26 11521,26 MJ.mm.ha-1.h-1.year-1. The soil erodibility factor (K) was obtained through the analysis of soil samples collected on the spot (0,03018 t.ha.h/ha.MJ.mm, 0,02771 t.ha.h/ha.MJ.mm e 0,02342 t.ha.h/ha.MJ.mm). The topographic factor (LS) was estimated by the altimetric and hydrographic data of the basin. Soil use and management (C) and soil conservation (P) were determined through multitemporal characterization of land use and occupation, using satellite images. The natural erosion potential (NEP) was determined by multiplying the R, K and LS factors, with more than half of the total area of the watershed with very strong PNE. The soil loss estimate (A) was determined by multiplying the NEP by factors C and P with predominance of the class called low (0 to 10 t/ha/year) denoting the reduction of erosion rates through factors C and P, helping to protect the soil from the erosion process.Key words: Soil Erosion; Watershed, Revised Universal Soil Loss Equation, Geoprocessing, Software.

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