Hydrological Modeling of an Ungauged River Basin Using SWAT Model for Water Resource Management Case of Kayanga River Upstream Niandouba Dam

Issa Lèye; Soussou Sambou; Moussé Landing Sané; Ibrahima Ndiaye; Didier Maria Ndione; Seïdou Kane; Samo Diatta; Raymond Diédhiou; Mohamed Talla Cissé

doi:doi:10.11648/j.wros.20200901.14

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Hydrological Modeling of an Ungauged River Basin Using SWAT Model for Water Resource Management Case of Kayanga River Upstream Niandouba Dam

Issa Lèye, Soussou Sambou, Moussé Landing Sané, Ibrahima Ndiaye, Didier Maria Ndione, Seïdou Kane, Samo Diatta, Raymond Diédhiou, Mohamed Talla Cissé

Received: 21 January 2020 Accepted: 21 February 2020 Published: 10 March 2020

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Abstract

Hydrological modeling of ungauged basins is important and imperative for policymakers and stakeholders in water management. The Kayanga river upstream from the Niandouba dam is subject to extreme pressure caused by natural and anthropogenic factors. The hydro system Niandouba Dam and Confluent Dam are used to providing water for the irrigated perimeters in Anambe. Since there is no data available to evaluate the water resources entering the Niandouba Dam, we used Soil and Water Assessment Tools (SWAT) to set up a hydrological model in the ungauged basin of Kayanga river upstream Niandouba dam. A regionalization approach has been used to predict the river discharge at Niandouba watershed upstream of the Niandouba dam. SWAT model has been calibrated from 01/01/2001 to 31/12/2001 and validated from 01/01/2002 to 31/12/2002, with a daily scale on the Koulountou watershed. During the calibration period, the criteria of goodness of fit are respectively 0.87 for Nash-Sutcliffe Efficiency coefficient (NSE), 0.87 for coefficient of determination (R2), -1.6% for Percent Bias (PBIAS) and 0.36 for Standard Deviation Ratio (RSR). In the validation period, we have found a Nash-Sutcliffe Efficiency coefficient (NSE) of 0.62, a coefficient of determination (R2) of 0.77, a Percent Bias (PBIAS) of +35.9%, Standard Deviation Ratio (RSR) of 0.62. These parameters have been used to generate flows at the entrance of the Niandouba Dam.

DOI	10.11648/j.wros.20200901.14
Published in	Journal of Water Resources and Ocean Science (Volume 9, Issue 1, February 2020)
Page(s)	29-41
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

Hydrological Modeling, SWAT, Niandouba Dam, Kayanga River, Ungauged, Irrigation, Calibration, Validation

References

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Issa Lèye, Soussou Sambou, Moussé Landing Sané, Ibrahima Ndiaye, Didier Maria Ndione, et al. (2020). Hydrological Modeling of an Ungauged River Basin Using SWAT Model for Water Resource Management Case of Kayanga River Upstream Niandouba Dam. Journal of Water Resources and Ocean Science, 9(1), 29-41. https://doi.org/10.11648/j.wros.20200901.14

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Issa Lèye; Soussou Sambou; Moussé Landing Sané; Ibrahima Ndiaye; Didier Maria Ndione, et al. Hydrological Modeling of an Ungauged River Basin Using SWAT Model for Water Resource Management Case of Kayanga River Upstream Niandouba Dam. J. Water Resour. Ocean Sci. 2020, 9(1), 29-41. doi: 10.11648/j.wros.20200901.14

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AMA Style

Issa Lèye, Soussou Sambou, Moussé Landing Sané, Ibrahima Ndiaye, Didier Maria Ndione, et al. Hydrological Modeling of an Ungauged River Basin Using SWAT Model for Water Resource Management Case of Kayanga River Upstream Niandouba Dam. J Water Resour Ocean Sci. 2020;9(1):29-41. doi: 10.11648/j.wros.20200901.14

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@article{10.11648/j.wros.20200901.14,
  author = {Issa Lèye and Soussou Sambou and Moussé Landing Sané and Ibrahima Ndiaye and Didier Maria Ndione and Seïdou Kane and Samo Diatta and Raymond Diédhiou and Mohamed Talla Cissé},
  title = {Hydrological Modeling of an Ungauged River Basin Using SWAT Model for Water Resource Management Case of Kayanga River Upstream Niandouba Dam},
  journal = {Journal of Water Resources and Ocean Science},
  volume = {9},
  number = {1},
  pages = {29-41},
  doi = {10.11648/j.wros.20200901.14},
  url = {https://doi.org/10.11648/j.wros.20200901.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wros.20200901.14},
  abstract = {Hydrological modeling of ungauged basins is important and imperative for policymakers and stakeholders in water management. The Kayanga river upstream from the Niandouba dam is subject to extreme pressure caused by natural and anthropogenic factors. The hydro system Niandouba Dam and Confluent Dam are used to providing water for the irrigated perimeters in Anambe. Since there is no data available to evaluate the water resources entering the Niandouba Dam, we used Soil and Water Assessment Tools (SWAT) to set up a hydrological model in the ungauged basin of Kayanga river upstream Niandouba dam. A regionalization approach has been used to predict the river discharge at Niandouba watershed upstream of the Niandouba dam. SWAT model has been calibrated from 01/01/2001 to 31/12/2001 and validated from 01/01/2002 to 31/12/2002, with a daily scale on the Koulountou watershed. During the calibration period, the criteria of goodness of fit are respectively 0.87 for Nash-Sutcliffe Efficiency coefficient (NSE), 0.87 for coefficient of determination (R2), -1.6% for Percent Bias (PBIAS) and 0.36 for Standard Deviation Ratio (RSR). In the validation period, we have found a Nash-Sutcliffe Efficiency coefficient (NSE) of 0.62, a coefficient of determination (R2) of 0.77, a Percent Bias (PBIAS) of +35.9%, Standard Deviation Ratio (RSR) of 0.62. These parameters have been used to generate flows at the entrance of the Niandouba Dam.},
 year = {2020}
}

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TY  - JOUR
T1  - Hydrological Modeling of an Ungauged River Basin Using SWAT Model for Water Resource Management Case of Kayanga River Upstream Niandouba Dam
AU  - Issa Lèye
AU  - Soussou Sambou
AU  - Moussé Landing Sané
AU  - Ibrahima Ndiaye
AU  - Didier Maria Ndione
AU  - Seïdou Kane
AU  - Samo Diatta
AU  - Raymond Diédhiou
AU  - Mohamed Talla Cissé
Y1  - 2020/03/10
PY  - 2020
N1  - https://doi.org/10.11648/j.wros.20200901.14
DO  - 10.11648/j.wros.20200901.14
T2  - Journal of Water Resources and Ocean Science
JF  - Journal of Water Resources and Ocean Science
JO  - Journal of Water Resources and Ocean Science
SP  - 29
EP  - 41
PB  - Science Publishing Group
SN  - 2328-7993
UR  - https://doi.org/10.11648/j.wros.20200901.14
AB  - Hydrological modeling of ungauged basins is important and imperative for policymakers and stakeholders in water management. The Kayanga river upstream from the Niandouba dam is subject to extreme pressure caused by natural and anthropogenic factors. The hydro system Niandouba Dam and Confluent Dam are used to providing water for the irrigated perimeters in Anambe. Since there is no data available to evaluate the water resources entering the Niandouba Dam, we used Soil and Water Assessment Tools (SWAT) to set up a hydrological model in the ungauged basin of Kayanga river upstream Niandouba dam. A regionalization approach has been used to predict the river discharge at Niandouba watershed upstream of the Niandouba dam. SWAT model has been calibrated from 01/01/2001 to 31/12/2001 and validated from 01/01/2002 to 31/12/2002, with a daily scale on the Koulountou watershed. During the calibration period, the criteria of goodness of fit are respectively 0.87 for Nash-Sutcliffe Efficiency coefficient (NSE), 0.87 for coefficient of determination (R2), -1.6% for Percent Bias (PBIAS) and 0.36 for Standard Deviation Ratio (RSR). In the validation period, we have found a Nash-Sutcliffe Efficiency coefficient (NSE) of 0.62, a coefficient of determination (R2) of 0.77, a Percent Bias (PBIAS) of +35.9%, Standard Deviation Ratio (RSR) of 0.62. These parameters have been used to generate flows at the entrance of the Niandouba Dam.
VL  - 9
IS  - 1
ER  -

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Author Information

Issa Lèye

Department of Physics, Faculty of Sciences and Technology, University Cheikh Anta Diop, Dakar-Fann, Senegal
Soussou Sambou

Department of Physics, Faculty of Sciences and Technology, University Cheikh Anta Diop, Dakar-Fann, Senegal
Moussé Landing Sané

Department of Physics, Faculty of Sciences and Technology, University Cheikh Anta Diop, Dakar-Fann, Senegal
Ibrahima Ndiaye

Department of Physics, Faculty of Sciences and Technology, University Cheikh Anta Diop, Dakar-Fann, Senegal
Didier Maria Ndione

Department of Physics, Faculty of Sciences and Technology, University Cheikh Anta Diop, Dakar-Fann, Senegal
Seïdou Kane
Samo Diatta

Department of Physics, University of Assane Seck, Ziguinchor, Senegal
Raymond Diédhiou

Department of Physics, Faculty of Sciences and Technology, University Cheikh Anta Diop, Dakar-Fann, Senegal
Mohamed Talla Cissé

Faculty of Technological Sciences, University of Thies, Thies, Senegal

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APA Style

Issa Lèye, Soussou Sambou, Moussé Landing Sané, Ibrahima Ndiaye, Didier Maria Ndione, et al. (2020). Hydrological Modeling of an Ungauged River Basin Using SWAT Model for Water Resource Management Case of Kayanga River Upstream Niandouba Dam. Journal of Water Resources and Ocean Science, 9(1), 29-41. https://doi.org/10.11648/j.wros.20200901.14

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ACS Style

Issa Lèye; Soussou Sambou; Moussé Landing Sané; Ibrahima Ndiaye; Didier Maria Ndione, et al. Hydrological Modeling of an Ungauged River Basin Using SWAT Model for Water Resource Management Case of Kayanga River Upstream Niandouba Dam. J. Water Resour. Ocean Sci. 2020, 9(1), 29-41. doi: 10.11648/j.wros.20200901.14

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AMA Style

Issa Lèye, Soussou Sambou, Moussé Landing Sané, Ibrahima Ndiaye, Didier Maria Ndione, et al. Hydrological Modeling of an Ungauged River Basin Using SWAT Model for Water Resource Management Case of Kayanga River Upstream Niandouba Dam. J Water Resour Ocean Sci. 2020;9(1):29-41. doi: 10.11648/j.wros.20200901.14

Copy | Download

@article{10.11648/j.wros.20200901.14,
  author = {Issa Lèye and Soussou Sambou and Moussé Landing Sané and Ibrahima Ndiaye and Didier Maria Ndione and Seïdou Kane and Samo Diatta and Raymond Diédhiou and Mohamed Talla Cissé},
  title = {Hydrological Modeling of an Ungauged River Basin Using SWAT Model for Water Resource Management Case of Kayanga River Upstream Niandouba Dam},
  journal = {Journal of Water Resources and Ocean Science},
  volume = {9},
  number = {1},
  pages = {29-41},
  doi = {10.11648/j.wros.20200901.14},
  url = {https://doi.org/10.11648/j.wros.20200901.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wros.20200901.14},
  abstract = {Hydrological modeling of ungauged basins is important and imperative for policymakers and stakeholders in water management. The Kayanga river upstream from the Niandouba dam is subject to extreme pressure caused by natural and anthropogenic factors. The hydro system Niandouba Dam and Confluent Dam are used to providing water for the irrigated perimeters in Anambe. Since there is no data available to evaluate the water resources entering the Niandouba Dam, we used Soil and Water Assessment Tools (SWAT) to set up a hydrological model in the ungauged basin of Kayanga river upstream Niandouba dam. A regionalization approach has been used to predict the river discharge at Niandouba watershed upstream of the Niandouba dam. SWAT model has been calibrated from 01/01/2001 to 31/12/2001 and validated from 01/01/2002 to 31/12/2002, with a daily scale on the Koulountou watershed. During the calibration period, the criteria of goodness of fit are respectively 0.87 for Nash-Sutcliffe Efficiency coefficient (NSE), 0.87 for coefficient of determination (R2), -1.6% for Percent Bias (PBIAS) and 0.36 for Standard Deviation Ratio (RSR). In the validation period, we have found a Nash-Sutcliffe Efficiency coefficient (NSE) of 0.62, a coefficient of determination (R2) of 0.77, a Percent Bias (PBIAS) of +35.9%, Standard Deviation Ratio (RSR) of 0.62. These parameters have been used to generate flows at the entrance of the Niandouba Dam.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Hydrological Modeling of an Ungauged River Basin Using SWAT Model for Water Resource Management Case of Kayanga River Upstream Niandouba Dam
AU  - Issa Lèye
AU  - Soussou Sambou
AU  - Moussé Landing Sané
AU  - Ibrahima Ndiaye
AU  - Didier Maria Ndione
AU  - Seïdou Kane
AU  - Samo Diatta
AU  - Raymond Diédhiou
AU  - Mohamed Talla Cissé
Y1  - 2020/03/10
PY  - 2020
N1  - https://doi.org/10.11648/j.wros.20200901.14
DO  - 10.11648/j.wros.20200901.14
T2  - Journal of Water Resources and Ocean Science
JF  - Journal of Water Resources and Ocean Science
JO  - Journal of Water Resources and Ocean Science
SP  - 29
EP  - 41
PB  - Science Publishing Group
SN  - 2328-7993
UR  - https://doi.org/10.11648/j.wros.20200901.14
AB  - Hydrological modeling of ungauged basins is important and imperative for policymakers and stakeholders in water management. The Kayanga river upstream from the Niandouba dam is subject to extreme pressure caused by natural and anthropogenic factors. The hydro system Niandouba Dam and Confluent Dam are used to providing water for the irrigated perimeters in Anambe. Since there is no data available to evaluate the water resources entering the Niandouba Dam, we used Soil and Water Assessment Tools (SWAT) to set up a hydrological model in the ungauged basin of Kayanga river upstream Niandouba dam. A regionalization approach has been used to predict the river discharge at Niandouba watershed upstream of the Niandouba dam. SWAT model has been calibrated from 01/01/2001 to 31/12/2001 and validated from 01/01/2002 to 31/12/2002, with a daily scale on the Koulountou watershed. During the calibration period, the criteria of goodness of fit are respectively 0.87 for Nash-Sutcliffe Efficiency coefficient (NSE), 0.87 for coefficient of determination (R2), -1.6% for Percent Bias (PBIAS) and 0.36 for Standard Deviation Ratio (RSR). In the validation period, we have found a Nash-Sutcliffe Efficiency coefficient (NSE) of 0.62, a coefficient of determination (R2) of 0.77, a Percent Bias (PBIAS) of +35.9%, Standard Deviation Ratio (RSR) of 0.62. These parameters have been used to generate flows at the entrance of the Niandouba Dam.
VL  - 9
IS  - 1
ER  -

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