Assessment of Sediment Inflow in Dire Dam Reservoir Using SWAT Model, Dire Catchment, Ethiopia

Asnake Molla; Brook Abate; Yohannes Behonegne

doi:doi:10.11648/j.cse.20200402.11

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Assessment of Sediment Inflow in Dire Dam Reservoir Using SWAT Model, Dire Catchment, Ethiopia

Asnake Molla, Brook Abate, Yohannes Behonegne

Published in Control Science and Engineering (Volume 4, Issue 2)

Received: 18 June 2020 Accepted: 8 September 2020 Published: 25 September 2020

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Abstract

Soil erosion and associated sedimentation are a natural process caused by water, wind, and ice, several of human’s activities such as deforestation, overgrazing, change in land use, and non-sustainable farming practice tends to accelerate soil erosion. This paper presents the runoff and sediment yield modeling of Dire watershed which is a drainage area of 76.058km². soil and water assessment tool (SWAT, Version 2012) integrating with ArcGIS (Version10.4) was used to simulate the streamflow and sediment yield of Dire watershed which located in the Awash river basin from 1990 to 2006. The model calibration and validation of streamflow and sediment yield were done using the SWAT_CUP software SUFI2 program. The streamflow data used for model calibration and validation was measured Beke gauge station from 1990 to 2006 but the sediment data use for both calibration and validation were generated using sediment rating curve. Time-series data from 1991 to 2000 were used for both streamflow and sediment calibration and a time series data from 2002 to 2006 was used for validation. Based on this data the model performance was evaluated by using the Coefficient of determination (R²) and Nash Sutcliffe Efficiency (NSE). During Flow calibration and validation result the Coefficient of determination (R²) and Nash Sutcliffe Efficiency (NSE) were 0.9, 0.84, 0.77, and 0.68 respectively. for sediment calibration and validation Coefficient of determination (R²) and Nash Sutcliffe Efficiency (NSE) were 0.73, 0.66, 0.7, and 0.68 respectively. During the assessment of this study, the average annual sediment yield generated from dire watershed was 108.898 tone/year modeled and sub-basin 3, 2 and 7 were the most eroded sub-basin among 9 sub-basin with annual sediment yield180.534 tons/yr, 155.335, 137.066 tons/yr and 75.770 tons/yr and the average reservoir trap efficiency is 96.27%, the reservoir life expectancy of the Dire dam was 31 years.

Published in	Control Science and Engineering (Volume 4, Issue 2)
DOI	10.11648/j.cse.20200402.11
Page(s)	16-31
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Dire Watershed, Sediment Yield, Reservoir Sedimentation, Reservoir Life Expectancy, SWAT Model, SWAT_CUP, SUFI2

References

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[2]	Bokan, L. T. (2015). Simulation of Sediment Yield Using SWAT Model: A case of Kulekhani Watershed Lemma Tufa Bokan. (June).
[3]	Brune, G. M. (1953). Trap efficiency of reservoirs. Eos, Transactions American Geophysical Union. https://doi.org/10.1029/TR034i003p00407.
[4]	Chow, V. Te, Maidment, D. R., & Mays, L. W. (1988). Applied hydrology (letters). In Applied Hydrology.
[5]	Detroit. (2005). Clinton River Sediment Transport Modeling Study (U. S. A. C. O. ENGINEERS, Ed.). USA.
[6]	Ffolliott, P. F., Brooks, K. N., Neary, D. G., Tapia, R. P., & Chevesich, P. G. (2013). Soil erosion and sediment production on watershed landscapes: processes and control. In Documento Técnico del PHI-LAC 32. Retrieved from https://www.fs.usda.gov/treesearch/pubs/46794.
[7]	García, M. H. (2006). Sedimentation Engineering: Theory, Measurements, Modeling, and Practice (ASCE Manua; P. E. Marcelo H. García, Ph. D., Ed.): American Society of Civil Engineers.
[8]	Garg, V., & Jothiprakash, V. (2018). Estimation of useful life of a reservoir using sediment trap efficiency. (January 2008).
[9]	Gizaw. (2017). Sub-Watersheds for Soil Conservation Planning in. (August).
[10]	Montgomery, D. R. (2007). Soil erosion and agricultural sustainability. Proceedings of the National Academy of Sciences of the United States of America. https://doi.org/10.1073/pnas.0611508104.
[11]	Mulu, A., & Dwarakish, G. S. (2015). Different Approach for Using Trap Efficiency for Estimation of Reservoir Sedimentation. An Overview. Aquatic Procedia. https://doi.org/10.1016/j.aqpro.2015.02.106.
[12]	Neitsch. (2009). SWAT 2009 Theoretical Documentation verssion 2009.
[13]	Neitsch, S., & Arnold, J. (2009). 1.1 Overview of Soil and Water Assessment Tool (SWAT) Model.… Not Listed Here Are in Tier A…, 415. Retrieved from http://crsps.net/wp-content/downloads/SANREM VT/Documents from SKB for Archive Purposes/4- Scholarly Articles/10-2009-4-1058.pdf#page=18.
[14]	Pemberton, T. J. L. (1988). The use of reservoir sedimentation surveys for the prediction of sediment yield in upland catchments: a case study of the southern Pennines. M. Phil. thesis.
[15]	Richard. (1998). HYDROLOGIC ANALYSIS AND DESIGN (Edition, S). United States of America.
[16]	Santhi, C., Arnold, J. G., Williams, J. R., Dugas, W. A., Srinivasan, R., & Hauck, L. M. (2001). Validation of the SWAT model on a large river basin with point and nonpoint sources. Journal of the American Water Resources Association. https://doi.org/10.1111/j.1752-1688.2001.tb03630.x.
[17]	Santosh. (1976). Irrigation engineering and Hydraulic Structure (13th ed.). Delhi: SH. Romesh ChanderKhanna.
[18]	Schleiss, A. J. (2014). Anton_J_Schleiss_Reservoir_Sedimentation_Flash (M. J. F. & M. P. Anton J. Schleiss, Giovanni De Cesare & Laboratoire, Eds.). London, UK: CRC Press/Balkema.
[19]	Tefera, B., & Sterk, G. (2008). Hydropower-Induced Land Use Change in Fincha’a Watershed, Western Ethiopia: Analysis and Impacts. Mountain Research and Development. https://doi.org/10.1659/mrd.0811.
[20]	USDA - SCS. (1972). Soil Conservation Service, National Engineering Handbook. Section 4, Hydrology. In National Engineering Handbook.

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APA Style

Asnake Molla, Brook Abate, Yohannes Behonegne. (2020). Assessment of Sediment Inflow in Dire Dam Reservoir Using SWAT Model, Dire Catchment, Ethiopia. Control Science and Engineering, 4(2), 16-31. https://doi.org/10.11648/j.cse.20200402.11

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ACS Style

Asnake Molla; Brook Abate; Yohannes Behonegne. Assessment of Sediment Inflow in Dire Dam Reservoir Using SWAT Model, Dire Catchment, Ethiopia. Control Sci. Eng. 2020, 4(2), 16-31. doi: 10.11648/j.cse.20200402.11

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AMA Style

Asnake Molla, Brook Abate, Yohannes Behonegne. Assessment of Sediment Inflow in Dire Dam Reservoir Using SWAT Model, Dire Catchment, Ethiopia. Control Sci Eng. 2020;4(2):16-31. doi: 10.11648/j.cse.20200402.11

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@article{10.11648/j.cse.20200402.11,
  author = {Asnake Molla and Brook Abate and Yohannes Behonegne},
  title = {Assessment of Sediment Inflow in Dire Dam Reservoir Using SWAT Model, Dire Catchment, Ethiopia},
  journal = {Control Science and Engineering},
  volume = {4},
  number = {2},
  pages = {16-31},
  doi = {10.11648/j.cse.20200402.11},
  url = {https://doi.org/10.11648/j.cse.20200402.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cse.20200402.11},
  abstract = {Soil erosion and associated sedimentation are a natural process caused by water, wind, and ice, several of human’s activities such as deforestation, overgrazing, change in land use, and non-sustainable farming practice tends to accelerate soil erosion. This paper presents the runoff and sediment yield modeling of Dire watershed which is a drainage area of 76.058km2. soil and water assessment tool (SWAT, Version 2012) integrating with ArcGIS (Version10.4) was used to simulate the streamflow and sediment yield of Dire watershed which located in the Awash river basin from 1990 to 2006. The model calibration and validation of streamflow and sediment yield were done using the SWAT_CUP software SUFI2 program. The streamflow data used for model calibration and validation was measured Beke gauge station from 1990 to 2006 but the sediment data use for both calibration and validation were generated using sediment rating curve. Time-series data from 1991 to 2000 were used for both streamflow and sediment calibration and a time series data from 2002 to 2006 was used for validation. Based on this data the model performance was evaluated by using the Coefficient of determination (R2) and Nash Sutcliffe Efficiency (NSE). During Flow calibration and validation result the Coefficient of determination (R2) and Nash Sutcliffe Efficiency (NSE) were 0.9, 0.84, 0.77, and 0.68 respectively. for sediment calibration and validation Coefficient of determination (R2) and Nash Sutcliffe Efficiency (NSE) were 0.73, 0.66, 0.7, and 0.68 respectively. During the assessment of this study, the average annual sediment yield generated from dire watershed was 108.898 tone/year modeled and sub-basin 3, 2 and 7 were the most eroded sub-basin among 9 sub-basin with annual sediment yield180.534 tons/yr, 155.335, 137.066 tons/yr and 75.770 tons/yr and the average reservoir trap efficiency is 96.27%, the reservoir life expectancy of the Dire dam was 31 years.},
 year = {2020}
}

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TY  - JOUR
T1  - Assessment of Sediment Inflow in Dire Dam Reservoir Using SWAT Model, Dire Catchment, Ethiopia
AU  - Asnake Molla
AU  - Brook Abate
AU  - Yohannes Behonegne
Y1  - 2020/09/25
PY  - 2020
N1  - https://doi.org/10.11648/j.cse.20200402.11
DO  - 10.11648/j.cse.20200402.11
T2  - Control Science and Engineering
JF  - Control Science and Engineering
JO  - Control Science and Engineering
SP  - 16
EP  - 31
PB  - Science Publishing Group
SN  - 2994-7421
UR  - https://doi.org/10.11648/j.cse.20200402.11
AB  - Soil erosion and associated sedimentation are a natural process caused by water, wind, and ice, several of human’s activities such as deforestation, overgrazing, change in land use, and non-sustainable farming practice tends to accelerate soil erosion. This paper presents the runoff and sediment yield modeling of Dire watershed which is a drainage area of 76.058km2. soil and water assessment tool (SWAT, Version 2012) integrating with ArcGIS (Version10.4) was used to simulate the streamflow and sediment yield of Dire watershed which located in the Awash river basin from 1990 to 2006. The model calibration and validation of streamflow and sediment yield were done using the SWAT_CUP software SUFI2 program. The streamflow data used for model calibration and validation was measured Beke gauge station from 1990 to 2006 but the sediment data use for both calibration and validation were generated using sediment rating curve. Time-series data from 1991 to 2000 were used for both streamflow and sediment calibration and a time series data from 2002 to 2006 was used for validation. Based on this data the model performance was evaluated by using the Coefficient of determination (R2) and Nash Sutcliffe Efficiency (NSE). During Flow calibration and validation result the Coefficient of determination (R2) and Nash Sutcliffe Efficiency (NSE) were 0.9, 0.84, 0.77, and 0.68 respectively. for sediment calibration and validation Coefficient of determination (R2) and Nash Sutcliffe Efficiency (NSE) were 0.73, 0.66, 0.7, and 0.68 respectively. During the assessment of this study, the average annual sediment yield generated from dire watershed was 108.898 tone/year modeled and sub-basin 3, 2 and 7 were the most eroded sub-basin among 9 sub-basin with annual sediment yield180.534 tons/yr, 155.335, 137.066 tons/yr and 75.770 tons/yr and the average reservoir trap efficiency is 96.27%, the reservoir life expectancy of the Dire dam was 31 years.
VL  - 4
IS  - 2
ER  -

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Author Information

Asnake Molla

Architecture and Civil Engineering College, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia; Water Resources, Architecture and Civil Engineering College, Wollo University, Kombolcha, Ethiopia
Brook Abate

Architecture and Civil Engineering College, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
Yohannes Behonegne

Water Resources, Architecture and Civil Engineering College, Wollo University, Kombolcha, Ethiopia

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Plain Text BibTeX RIS

APA Style

Asnake Molla, Brook Abate, Yohannes Behonegne. (2020). Assessment of Sediment Inflow in Dire Dam Reservoir Using SWAT Model, Dire Catchment, Ethiopia. Control Science and Engineering, 4(2), 16-31. https://doi.org/10.11648/j.cse.20200402.11

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ACS Style

Asnake Molla; Brook Abate; Yohannes Behonegne. Assessment of Sediment Inflow in Dire Dam Reservoir Using SWAT Model, Dire Catchment, Ethiopia. Control Sci. Eng. 2020, 4(2), 16-31. doi: 10.11648/j.cse.20200402.11

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AMA Style

Asnake Molla, Brook Abate, Yohannes Behonegne. Assessment of Sediment Inflow in Dire Dam Reservoir Using SWAT Model, Dire Catchment, Ethiopia. Control Sci Eng. 2020;4(2):16-31. doi: 10.11648/j.cse.20200402.11

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@article{10.11648/j.cse.20200402.11,
  author = {Asnake Molla and Brook Abate and Yohannes Behonegne},
  title = {Assessment of Sediment Inflow in Dire Dam Reservoir Using SWAT Model, Dire Catchment, Ethiopia},
  journal = {Control Science and Engineering},
  volume = {4},
  number = {2},
  pages = {16-31},
  doi = {10.11648/j.cse.20200402.11},
  url = {https://doi.org/10.11648/j.cse.20200402.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cse.20200402.11},
  abstract = {Soil erosion and associated sedimentation are a natural process caused by water, wind, and ice, several of human’s activities such as deforestation, overgrazing, change in land use, and non-sustainable farming practice tends to accelerate soil erosion. This paper presents the runoff and sediment yield modeling of Dire watershed which is a drainage area of 76.058km2. soil and water assessment tool (SWAT, Version 2012) integrating with ArcGIS (Version10.4) was used to simulate the streamflow and sediment yield of Dire watershed which located in the Awash river basin from 1990 to 2006. The model calibration and validation of streamflow and sediment yield were done using the SWAT_CUP software SUFI2 program. The streamflow data used for model calibration and validation was measured Beke gauge station from 1990 to 2006 but the sediment data use for both calibration and validation were generated using sediment rating curve. Time-series data from 1991 to 2000 were used for both streamflow and sediment calibration and a time series data from 2002 to 2006 was used for validation. Based on this data the model performance was evaluated by using the Coefficient of determination (R2) and Nash Sutcliffe Efficiency (NSE). During Flow calibration and validation result the Coefficient of determination (R2) and Nash Sutcliffe Efficiency (NSE) were 0.9, 0.84, 0.77, and 0.68 respectively. for sediment calibration and validation Coefficient of determination (R2) and Nash Sutcliffe Efficiency (NSE) were 0.73, 0.66, 0.7, and 0.68 respectively. During the assessment of this study, the average annual sediment yield generated from dire watershed was 108.898 tone/year modeled and sub-basin 3, 2 and 7 were the most eroded sub-basin among 9 sub-basin with annual sediment yield180.534 tons/yr, 155.335, 137.066 tons/yr and 75.770 tons/yr and the average reservoir trap efficiency is 96.27%, the reservoir life expectancy of the Dire dam was 31 years.},
 year = {2020}
}

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TY  - JOUR
T1  - Assessment of Sediment Inflow in Dire Dam Reservoir Using SWAT Model, Dire Catchment, Ethiopia
AU  - Asnake Molla
AU  - Brook Abate
AU  - Yohannes Behonegne
Y1  - 2020/09/25
PY  - 2020
N1  - https://doi.org/10.11648/j.cse.20200402.11
DO  - 10.11648/j.cse.20200402.11
T2  - Control Science and Engineering
JF  - Control Science and Engineering
JO  - Control Science and Engineering
SP  - 16
EP  - 31
PB  - Science Publishing Group
SN  - 2994-7421
UR  - https://doi.org/10.11648/j.cse.20200402.11
AB  - Soil erosion and associated sedimentation are a natural process caused by water, wind, and ice, several of human’s activities such as deforestation, overgrazing, change in land use, and non-sustainable farming practice tends to accelerate soil erosion. This paper presents the runoff and sediment yield modeling of Dire watershed which is a drainage area of 76.058km2. soil and water assessment tool (SWAT, Version 2012) integrating with ArcGIS (Version10.4) was used to simulate the streamflow and sediment yield of Dire watershed which located in the Awash river basin from 1990 to 2006. The model calibration and validation of streamflow and sediment yield were done using the SWAT_CUP software SUFI2 program. The streamflow data used for model calibration and validation was measured Beke gauge station from 1990 to 2006 but the sediment data use for both calibration and validation were generated using sediment rating curve. Time-series data from 1991 to 2000 were used for both streamflow and sediment calibration and a time series data from 2002 to 2006 was used for validation. Based on this data the model performance was evaluated by using the Coefficient of determination (R2) and Nash Sutcliffe Efficiency (NSE). During Flow calibration and validation result the Coefficient of determination (R2) and Nash Sutcliffe Efficiency (NSE) were 0.9, 0.84, 0.77, and 0.68 respectively. for sediment calibration and validation Coefficient of determination (R2) and Nash Sutcliffe Efficiency (NSE) were 0.73, 0.66, 0.7, and 0.68 respectively. During the assessment of this study, the average annual sediment yield generated from dire watershed was 108.898 tone/year modeled and sub-basin 3, 2 and 7 were the most eroded sub-basin among 9 sub-basin with annual sediment yield180.534 tons/yr, 155.335, 137.066 tons/yr and 75.770 tons/yr and the average reservoir trap efficiency is 96.27%, the reservoir life expectancy of the Dire dam was 31 years.
VL  - 4
IS  - 2
ER  -

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