Evaluating Sediment Prediction Capability of Two Hydrological Models in Ribb and Kessie Watersheds, Upper Blue Nile Basin, Ethiopia

Asnakew Melku Fenta; Mamaru Ayalew Moges; Bayu Geta Bihonegn

doi:doi:10.11648/j.hyd.20231102.11

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Evaluating Sediment Prediction Capability of Two Hydrological Models in Ribb and Kessie Watersheds, Upper Blue Nile Basin, Ethiopia

Asnakew Melku Fenta, Mamaru Ayalew Moges, Bayu Geta Bihonegn

Published in Hydrology (Volume 11, Issue 2)

Received: 5 June 2023 Accepted: 25 June 2023 Published: 6 July 2023

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Abstract

In Ethiopia's Upper Blue Nile Basin, soil erosion, land degradation, sedimentation of reservoirs, shortening of the useful lives of infrastructure, & lakes and loss of agricultural soils are serious issues. The capacity to estimate the yield of sediment in the Ribb and Kessie watersheds is investigated using the parameter-efficient semi-distributed watershed model and the soil and water assessment tool. This study's goal was to assess the sediment prediction abilities of two hydrological models in the Upper Blue Nile Basin over a variety of watershed sizes. In the Upper Blue Nile Basin, the Ribb (1472 km²) and Kessie (24,171 km²) watersheds were chosen. The stream flow data for the Ribb watersheds from 2002 to 2011 and 2012 to 2017 were used for model calibration and validation, and a suspended sediment rating curve was created utilizing some measured values. Similar to this, the sparse sediment data for the Kessie watershed stream flow from 1997 to 2006 and 2007 to 2013 was produced using the sediment rating curve from Ministry of Water and Energy data. The model efficiency on daily time step scale during calibration and validation periods for parameter-efficient semi-distributed watershed model (NSE= 0.62, 0.68), (NSE= 0.41, 0.58) and soil and water assessment tool (NSE= 0.52, 0.63), (NSE= 0.55, 0.61) were obtained for Ribb and Kessie watersheds respectively. The measured and predicted discharge and sediment showed a range of satisfactory to very good agreement as a consequence. The model's output on a monthly time step scale likewise varied and was superior to that on a daily time step scale. Overall model performance showed that the PED-W model was more suitable than the SWAT model for predicting stream flow and sediment yield in the chosen watershed. This was caused by PED-W being oversaturated and plots being scaled up, which is the case in the Ethiopian highland.

Published in	Hydrology (Volume 11, Issue 2)
DOI	10.11648/j.hyd.20231102.11
Page(s)	23-32
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), 2023. Published by Science Publishing Group

Keywords

Hydrological Model, Kessie, Ribb, Upper Blue Nile Basin

References

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Asnakew Melku Fenta, Mamaru Ayalew Moges, Bayu Geta Bihonegn. (2023). Evaluating Sediment Prediction Capability of Two Hydrological Models in Ribb and Kessie Watersheds, Upper Blue Nile Basin, Ethiopia. Hydrology, 11(2), 23-32. https://doi.org/10.11648/j.hyd.20231102.11

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ACS Style

Asnakew Melku Fenta; Mamaru Ayalew Moges; Bayu Geta Bihonegn. Evaluating Sediment Prediction Capability of Two Hydrological Models in Ribb and Kessie Watersheds, Upper Blue Nile Basin, Ethiopia. Hydrology. 2023, 11(2), 23-32. doi: 10.11648/j.hyd.20231102.11

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AMA Style

Asnakew Melku Fenta, Mamaru Ayalew Moges, Bayu Geta Bihonegn. Evaluating Sediment Prediction Capability of Two Hydrological Models in Ribb and Kessie Watersheds, Upper Blue Nile Basin, Ethiopia. Hydrology. 2023;11(2):23-32. doi: 10.11648/j.hyd.20231102.11

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@article{10.11648/j.hyd.20231102.11,
  author = {Asnakew Melku Fenta and Mamaru Ayalew Moges and Bayu Geta Bihonegn},
  title = {Evaluating Sediment Prediction Capability of Two Hydrological Models in Ribb and Kessie Watersheds, Upper Blue Nile Basin, Ethiopia},
  journal = {Hydrology},
  volume = {11},
  number = {2},
  pages = {23-32},
  doi = {10.11648/j.hyd.20231102.11},
  url = {https://doi.org/10.11648/j.hyd.20231102.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hyd.20231102.11},
  abstract = {In Ethiopia's Upper Blue Nile Basin, soil erosion, land degradation, sedimentation of reservoirs, shortening of the useful lives of infrastructure, & lakes and loss of agricultural soils are serious issues. The capacity to estimate the yield of sediment in the Ribb and Kessie watersheds is investigated using the parameter-efficient semi-distributed watershed model and the soil and water assessment tool. This study's goal was to assess the sediment prediction abilities of two hydrological models in the Upper Blue Nile Basin over a variety of watershed sizes. In the Upper Blue Nile Basin, the Ribb (1472 km2) and Kessie (24,171 km2) watersheds were chosen. The stream flow data for the Ribb watersheds from 2002 to 2011 and 2012 to 2017 were used for model calibration and validation, and a suspended sediment rating curve was created utilizing some measured values. Similar to this, the sparse sediment data for the Kessie watershed stream flow from 1997 to 2006 and 2007 to 2013 was produced using the sediment rating curve from Ministry of Water and Energy data. The model efficiency on daily time step scale during calibration and validation periods for parameter-efficient semi-distributed watershed model (NSE= 0.62, 0.68), (NSE= 0.41, 0.58) and soil and water assessment tool (NSE= 0.52, 0.63), (NSE= 0.55, 0.61) were obtained for Ribb and Kessie watersheds respectively. The measured and predicted discharge and sediment showed a range of satisfactory to very good agreement as a consequence. The model's output on a monthly time step scale likewise varied and was superior to that on a daily time step scale. Overall model performance showed that the PED-W model was more suitable than the SWAT model for predicting stream flow and sediment yield in the chosen watershed. This was caused by PED-W being oversaturated and plots being scaled up, which is the case in the Ethiopian highland.},
 year = {2023}
}

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TY  - JOUR
T1  - Evaluating Sediment Prediction Capability of Two Hydrological Models in Ribb and Kessie Watersheds, Upper Blue Nile Basin, Ethiopia
AU  - Asnakew Melku Fenta
AU  - Mamaru Ayalew Moges
AU  - Bayu Geta Bihonegn
Y1  - 2023/07/06
PY  - 2023
N1  - https://doi.org/10.11648/j.hyd.20231102.11
DO  - 10.11648/j.hyd.20231102.11
T2  - Hydrology
JF  - Hydrology
JO  - Hydrology
SP  - 23
EP  - 32
PB  - Science Publishing Group
SN  - 2330-7617
UR  - https://doi.org/10.11648/j.hyd.20231102.11
AB  - In Ethiopia's Upper Blue Nile Basin, soil erosion, land degradation, sedimentation of reservoirs, shortening of the useful lives of infrastructure, & lakes and loss of agricultural soils are serious issues. The capacity to estimate the yield of sediment in the Ribb and Kessie watersheds is investigated using the parameter-efficient semi-distributed watershed model and the soil and water assessment tool. This study's goal was to assess the sediment prediction abilities of two hydrological models in the Upper Blue Nile Basin over a variety of watershed sizes. In the Upper Blue Nile Basin, the Ribb (1472 km2) and Kessie (24,171 km2) watersheds were chosen. The stream flow data for the Ribb watersheds from 2002 to 2011 and 2012 to 2017 were used for model calibration and validation, and a suspended sediment rating curve was created utilizing some measured values. Similar to this, the sparse sediment data for the Kessie watershed stream flow from 1997 to 2006 and 2007 to 2013 was produced using the sediment rating curve from Ministry of Water and Energy data. The model efficiency on daily time step scale during calibration and validation periods for parameter-efficient semi-distributed watershed model (NSE= 0.62, 0.68), (NSE= 0.41, 0.58) and soil and water assessment tool (NSE= 0.52, 0.63), (NSE= 0.55, 0.61) were obtained for Ribb and Kessie watersheds respectively. The measured and predicted discharge and sediment showed a range of satisfactory to very good agreement as a consequence. The model's output on a monthly time step scale likewise varied and was superior to that on a daily time step scale. Overall model performance showed that the PED-W model was more suitable than the SWAT model for predicting stream flow and sediment yield in the chosen watershed. This was caused by PED-W being oversaturated and plots being scaled up, which is the case in the Ethiopian highland.
VL  - 11
IS  - 2
ER  -

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Author Information

Asnakew Melku Fenta

Department of Water Resources and Irrigation Engineering, College of Engineering & Technology, Gambella University, Gambella, Ethiopia
Mamaru Ayalew Moges

Amhara National Regional State of Water, Irrigation and Energy Bureau, Bahir Dar, Ethiopia
Bayu Geta Bihonegn

Department of Civil Engineering (Hydraulic Engineering), Addis Ababa Institute of Technology, Addis Ababa, Ethiopia

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APA Style

Asnakew Melku Fenta, Mamaru Ayalew Moges, Bayu Geta Bihonegn. (2023). Evaluating Sediment Prediction Capability of Two Hydrological Models in Ribb and Kessie Watersheds, Upper Blue Nile Basin, Ethiopia. Hydrology, 11(2), 23-32. https://doi.org/10.11648/j.hyd.20231102.11

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ACS Style

Asnakew Melku Fenta; Mamaru Ayalew Moges; Bayu Geta Bihonegn. Evaluating Sediment Prediction Capability of Two Hydrological Models in Ribb and Kessie Watersheds, Upper Blue Nile Basin, Ethiopia. Hydrology. 2023, 11(2), 23-32. doi: 10.11648/j.hyd.20231102.11

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AMA Style

Asnakew Melku Fenta, Mamaru Ayalew Moges, Bayu Geta Bihonegn. Evaluating Sediment Prediction Capability of Two Hydrological Models in Ribb and Kessie Watersheds, Upper Blue Nile Basin, Ethiopia. Hydrology. 2023;11(2):23-32. doi: 10.11648/j.hyd.20231102.11

Copy | Download

@article{10.11648/j.hyd.20231102.11,
  author = {Asnakew Melku Fenta and Mamaru Ayalew Moges and Bayu Geta Bihonegn},
  title = {Evaluating Sediment Prediction Capability of Two Hydrological Models in Ribb and Kessie Watersheds, Upper Blue Nile Basin, Ethiopia},
  journal = {Hydrology},
  volume = {11},
  number = {2},
  pages = {23-32},
  doi = {10.11648/j.hyd.20231102.11},
  url = {https://doi.org/10.11648/j.hyd.20231102.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hyd.20231102.11},
  abstract = {In Ethiopia's Upper Blue Nile Basin, soil erosion, land degradation, sedimentation of reservoirs, shortening of the useful lives of infrastructure, & lakes and loss of agricultural soils are serious issues. The capacity to estimate the yield of sediment in the Ribb and Kessie watersheds is investigated using the parameter-efficient semi-distributed watershed model and the soil and water assessment tool. This study's goal was to assess the sediment prediction abilities of two hydrological models in the Upper Blue Nile Basin over a variety of watershed sizes. In the Upper Blue Nile Basin, the Ribb (1472 km2) and Kessie (24,171 km2) watersheds were chosen. The stream flow data for the Ribb watersheds from 2002 to 2011 and 2012 to 2017 were used for model calibration and validation, and a suspended sediment rating curve was created utilizing some measured values. Similar to this, the sparse sediment data for the Kessie watershed stream flow from 1997 to 2006 and 2007 to 2013 was produced using the sediment rating curve from Ministry of Water and Energy data. The model efficiency on daily time step scale during calibration and validation periods for parameter-efficient semi-distributed watershed model (NSE= 0.62, 0.68), (NSE= 0.41, 0.58) and soil and water assessment tool (NSE= 0.52, 0.63), (NSE= 0.55, 0.61) were obtained for Ribb and Kessie watersheds respectively. The measured and predicted discharge and sediment showed a range of satisfactory to very good agreement as a consequence. The model's output on a monthly time step scale likewise varied and was superior to that on a daily time step scale. Overall model performance showed that the PED-W model was more suitable than the SWAT model for predicting stream flow and sediment yield in the chosen watershed. This was caused by PED-W being oversaturated and plots being scaled up, which is the case in the Ethiopian highland.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Evaluating Sediment Prediction Capability of Two Hydrological Models in Ribb and Kessie Watersheds, Upper Blue Nile Basin, Ethiopia
AU  - Asnakew Melku Fenta
AU  - Mamaru Ayalew Moges
AU  - Bayu Geta Bihonegn
Y1  - 2023/07/06
PY  - 2023
N1  - https://doi.org/10.11648/j.hyd.20231102.11
DO  - 10.11648/j.hyd.20231102.11
T2  - Hydrology
JF  - Hydrology
JO  - Hydrology
SP  - 23
EP  - 32
PB  - Science Publishing Group
SN  - 2330-7617
UR  - https://doi.org/10.11648/j.hyd.20231102.11
AB  - In Ethiopia's Upper Blue Nile Basin, soil erosion, land degradation, sedimentation of reservoirs, shortening of the useful lives of infrastructure, & lakes and loss of agricultural soils are serious issues. The capacity to estimate the yield of sediment in the Ribb and Kessie watersheds is investigated using the parameter-efficient semi-distributed watershed model and the soil and water assessment tool. This study's goal was to assess the sediment prediction abilities of two hydrological models in the Upper Blue Nile Basin over a variety of watershed sizes. In the Upper Blue Nile Basin, the Ribb (1472 km2) and Kessie (24,171 km2) watersheds were chosen. The stream flow data for the Ribb watersheds from 2002 to 2011 and 2012 to 2017 were used for model calibration and validation, and a suspended sediment rating curve was created utilizing some measured values. Similar to this, the sparse sediment data for the Kessie watershed stream flow from 1997 to 2006 and 2007 to 2013 was produced using the sediment rating curve from Ministry of Water and Energy data. The model efficiency on daily time step scale during calibration and validation periods for parameter-efficient semi-distributed watershed model (NSE= 0.62, 0.68), (NSE= 0.41, 0.58) and soil and water assessment tool (NSE= 0.52, 0.63), (NSE= 0.55, 0.61) were obtained for Ribb and Kessie watersheds respectively. The measured and predicted discharge and sediment showed a range of satisfactory to very good agreement as a consequence. The model's output on a monthly time step scale likewise varied and was superior to that on a daily time step scale. Overall model performance showed that the PED-W model was more suitable than the SWAT model for predicting stream flow and sediment yield in the chosen watershed. This was caused by PED-W being oversaturated and plots being scaled up, which is the case in the Ethiopian highland.
VL  - 11
IS  - 2
ER  -

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