Scaling up from field to region for wind erosion prediction using a field-scale wind erosion model and GIS

2000 ◽  
Vol 82 (1-3) ◽  
pp. 247-259 ◽  
Author(s):  
T.M. Zobeck ◽  
N.C. Parker ◽  
S. Haskell ◽  
K. Guoding
Keyword(s):  
Wind Erosion ◽  
Scaling Up ◽  
Field Scale ◽  
Erosion Model ◽  
Erosion Prediction

Evaluation of a wind erosion model in a desert area of northern Asia by eddy covariance

2009 ◽  
Vol 34 (13) ◽  
pp. 1743-1757 ◽  
Author(s):  
Gerardo Fratini ◽  
Monia Santini ◽  
Paolo Ciccioli ◽  
Riccardo Valentini
Keyword(s):  
Eddy Covariance ◽  
Wind Erosion ◽  
Desert Area ◽  
Northern Asia ◽  
Erosion Model

An Improved Computational Fluid Dynamics (CFD) Model for Erosion Prediction in Oil and Gas Industry Applications

2014 ◽  
Author(s):  
Deval Pandya ◽  
Brian Dennis ◽  
Ronnie Russell
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Surface Velocity ◽  
Particle Model ◽  
Model Parameters ◽  
Cfd Model ◽  
Erosion Model ◽  
Erosion Prediction ◽  
Erosion Models ◽  
Computational Fluid Dynamics Cfd

In recent years, the study of flow-induced erosion phenomena has gained interest as erosion has a direct influence on the life, reliability and safety of equipment. Particularly significant erosion can occur inside the drilling tool components caused by the low particle loading (<10%) in the drilling fluid. Due to the difficulty and cost of conducting experiments, significant efforts have been invested in numerical predictive tools to understand and mitigate erosion within drilling tools. Computational fluid dynamics (CFD) is becoming a powerful tool to predict complex flow-erosion and a cost-effective method to re-design drilling equipment for mitigating erosion. Existing CFD-based erosion models predict erosion regions fairly accurately, but these models have poor reliability when it comes to quantitative predictions. In many cases, the error can be greater than an order of magnitude. The present study focuses on development of an improved CFD-erosion model for predicting the qualitative as well as the quantitative aspects of erosion. A finite-volume based CFD-erosion model was developed using a commercially available CFD code. The CFD model involves fluid flow and turbulence modeling, particle tracking, and application of existing empirical erosion models. All parameters like surface velocity, particle concentration, particle volume fraction, etc., used in empirical erosion equations are obtained through CFD analysis. CFD modeling parameters like numerical schemes, turbulence models, near-wall treatments, grid strategy and discrete particle model parameters were investigated in detail to develop guidelines for erosion prediction. As part of this effort, the effect of computed results showed good qualitative and quantitative agreement for the benchmark case of flow through an elbow at different flow rates and particle sizes. This paper proposes a new/modified erosion model. The combination of an improved CFD methodology and a new erosion model provides a novel computational approach that accurately predicts the location and magnitude of erosion. Reliable predictive methodology can help improve designs of downhole equipment to mitigate erosion risk as well as provide guidance on repair and maintenance intervals. This will eventually lead to improvement in the reliability and safety of downhole tool operation.

scholarly journals Erosion Prediction Model using Fractional Vegetation Cover

2020 ◽  
Vol 5 (1) ◽  
pp. 125-132
Author(s):  
Nursida Arif ◽  
Projo Danoedoro ◽  
Hartono Hartono ◽  
Andrew Mulabbi
Keyword(s):  
Prediction Model ◽  
Vegetation Cover ◽  
Input Data ◽  
Medium Density ◽  
Vegetation Density ◽  
Erosion Model ◽  
Fractional Vegetation Cover ◽  
Erosion Prediction ◽  
Digital Elevation ◽  
Elevation Model

The purpose of this study was to  create an erosion prediction model in Serang Watershed, Indonesia. The erosion model used two input data, namely the slope derivied from Digital Elevation Model (DEM) data, and Fractional Vegetation Cover (FVC) from SPOT images. Assessment of the model was carried out using questionnaires and interviews with several experts by presenting the results of the model and its supporting data. Based on the DEM data, the level of slope steepness in the study area is very varied namely; flat (52.77%), sloping (7.62%), and rather steep to very steep (39.59%). Vegetation density according to the FVC results is dominated by medium density. The results of the analysis of the two input models can provide predictions of the level of erosion with an accuracy of 67.92%. Evaluation of the model was done by experts with conclusions that the method was very flexible and can be adapted to similar watersheds elsewhere.

Erosion and sediment transport models with reference to the needs of small scale

2021 ◽  
Author(s):  
Ahsan Raza ◽  
Thomas Gaiser ◽  
Muhammad Habib-Ur-Rahman ◽  
Hella Ahrends
Keyword(s):  
Soil Erosion ◽  
Overland Flow ◽  
Model Development ◽  
Agroforestry Systems ◽  
Specific Model ◽  
Small Scale ◽  
Field Scale ◽  
Erosion Prediction ◽  
Dynamic Components ◽  
Output Information

&lt;p&gt;Information on field scale soil erosion and related sedimentation process is very important for natural resource management and sustainable farming. Plenty of models are available for study of these processes but only a few are suitable for dynamic small scale soil erosion assessments. The available models vary greatly in terms of their input requirements, analysis capabilities, process [t1] complexities, spatial and temporal scale of their intended use, practicality, the manner they represent the processes, and the type of output information they provide. The study aims in examining, theoretically, 51 models classified as physical, conceptual, and empirical based on their representation of the processes of soil erosion. The literature review shows that there is no specific model available for soil erosion prediction under agroforestry systems. &amp;#160;&amp;#160;It is further suggested that models like EPIC, PERFECT, GUEST, EPM, TCRP, SLEMSA, APSIM, RillGrow, and CREAMS can be potentially used for soil erosion assessment at plot/field scale at daily time steps. Most of these models are capable to simulate the soil erosion process at small scale; further model development is needed regarding their limitations with respect to components interaction i.e., rainfall intensity, overland flow, crop cover, and their difficulties in upscaling. The research suggested that SIMPLACE network can provide modules with LintulBiomass, HillFlow, Runoff to develop new dynamic components to simulate overland flow and soil erosion incorporating improved upscaling capabilities&lt;/p&gt;

Partitioning of Biomass in the Crop Submodel of WEPS (Wind Erosion Prediction System)

1996 ◽  
Vol 39 (1) ◽  
pp. 145-151 ◽  
Author(s):  
A. Retta ◽  
D. V. Armbrust ◽  
L. J. Hagen
Keyword(s):  
Wind Erosion ◽  
Prediction System ◽  
Erosion Prediction

Wind Erosion Prediction and Control

1993 ◽  
Vol 28 (3-5) ◽  
pp. 519-527 ◽  
Author(s):  
R. D. Nanney ◽  
D. W. Fryrear ◽  
T. M. Zobeck
Keyword(s):  
Soil Erosion ◽  
Crop Production ◽  
Wind Erosion ◽  
Agricultural Research ◽  
Ground Surface ◽  
The United States ◽  
Erosion Process ◽  
Erosion Prediction ◽  
Prediction And Control ◽  
And Control

Few regions of the United States are entirely safe from wind erosion. Whenever the soil surface is loose and dry with limited crop residue cover, and the wind sufficiently strong, soil erosion will occur. Soil erosion by wind causes diffuse pollution, loss of topsoil, reduced crop production, and damage to both public and private facilities. Factors contributing to the wind erosion process can vary daily. This complex process presents a challenge to the science of wind erosion prediction and control. USDA Agricultural Research Service is developing a new Wind Erosion Prediction System (WEPS) to overcome the limitations of the existing Wind Erosion Equation (WEQ). WEPS is a computer based model with submodels for crops, soils, tillage, erosion, weather, hydrology, and decomposition. USDA Soil Conservation Service assisted with the characterization of changes in the temporal soil properties of the tillage zone and ground surface and erosion rates at a validation site in the Great Lakes region. The results of the data collection for the soils and erosion submodels and a discussion of a windbreak demonstration site show the dynamic nature of the wind erosion process.

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