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Case report

Modeling sediment yield of Rib watershed, Northwest Ethiopia

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Pages 491-502 | Received 06 Dec 2019, Accepted 07 Jul 2020, Published online: 31 Jul 2020
 

ABSTRACT

Application of models to assess soil erosion processes and design best management practices in Ethiopia has been increasing. This study investigated and predicted the processes and patterns of sediment yield in the watershed. SUFI-2, a SWAT CUP2012 program was applied to optimize sediment parameters using observed sediment data of the watershed. Channel erodibility factor (CH_ERODMO), exponent parameter for calculating sediment reentrained in channel sediment routing (SPEXP) from channel parameters, and USLE equation support practice factor (USLE_P) from landscape parameters have been found to be the highest sensitive sediment yield parameters. Multi-objective function statistics of R2 (0.65, 0.54), NSE (0.57, 0.51), PBIAS (1.2%, 19%), and RSR (0.66, 0.7) were identified for calibration and validation respectively. Performance measurements of P-factor and R-factor value of (57%, 39%) and (0.87, 0.48) for calibration and validation respectively were obtained. Generally, the model evaluation statistics suggested that SWAT underpredicted peak sediment loads in calibration and validation periods. According to model evaluation performance measurements, the modelled sediment yield was between ‘Satisfactory’ to ‘Very Good’ rating scales. The calibrated model provides information to apply the model in other ungauged watersheds of similar topography, land use, soil and climate for erosion assessment, and implementation of best management scenarios in Ethiopian.

Acronyms/abbreviations-

amslabove mean sea level=
ArcSWAT=

ArcGIS-ArcView extension and interface for SWAT

CFRG=

coarse fragment factor

DEM=

Digital Elevation Model

FAO=

Food and Agriculture Organization

GLUE=

Generalized Likelihood Uncertainty Estimation

HRU=

Hydrologic Response Units

LSUSLE=

USLE topographic factor

LULC=

Land Use and Land Cover

MoWR=

Ministry of Water and Energy

MUSLE Modified Universal Soil Loss Equation=
NSE=

Nash-Sutcliffe Efficiency

ParaSol=

Parallel Solution

PBIAS=

Percent Bias

qpeak=

peak runoff rate

Qsurf=

surface runoff volume

Q=

River discharge

RSR=

Ratio of root mean square error and the standard deviation

SRTM=

Shuttle Radar Topographic Mission

SSC Suspended Sediment Concentration=
SUFI-2=

Sequential Uncertainty Feting version-2

SWAT=

Soil and Water Assessment Tool

SWAT-CUP=

SWAT Calibration and Uncertainty Procedures

UNESCO=

United Nations Educational, Scientific and Cultural Organization

WGN=

Weather Generator

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Bahir Dar University.

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