Assessment of Water Balance Components by Using Wetspass Model: The Case of Dengego Sub-basin, Eastern Ethiopia

Seyoum Bezabih Kidane; Hayal Derb Andarge

doi:doi:10.11648/j.hyd.20221002.11

| Peer-Reviewed

Assessment of Water Balance Components by Using Wetspass Model: The Case of Dengego Sub-basin, Eastern Ethiopia

Seyoum Bezabih Kidane, Hayal Derb Andarge

Published in Hydrology (Volume 10, Issue 2)

Received: 10 January 2022 Accepted: 23 March 2022 Published: 31 May 2022

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

The search for new water resources, as well as the development of water balance models that can be used to control and manage the resource, is at the heart of the search for new water resources in eastern Ethiopia, particularly in the Dengego sub-basin, and its socio-economic significance in terms of water demand for agriculture and domestic use. The water balance components of the Dengego sub-basin were investigated using the WetSpass hydrological model. The goal of this study is to assess the water balance components in the Dengego sub-basin. According to WetSpass, the mean annual evapotranspiration, surface runoff, and groundwater recharge were 494.2, 173.6, and 20.2 mm, respectively. Actual evapotranspiration and surface runoff accounted for 25.2 percent and 71.8 percent of precipitation, respectively and recharge made up 2.9 percent of precipitation. Annually 7.3 million m3 of water recharges into the groundwater table as recharge from the precipitation on the entire watershed. The contribution of this study could be used as baseline information for regional water resource experts, policy makers and researchers for further investigation. It can also be concluded that integrated WetSpass and GIS-based models are good indicators for estimating and understanding of water balance components in a given watershed to implement an integrated watershed management plan for sustainable utilization and sustainable development.

Published in	Hydrology (Volume 10, Issue 2)
DOI	10.11648/j.hyd.20221002.11
Page(s)	21-33
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

Dengego, Ethiopia, Groundwater Recharge, Water Balance, Wetspass

References

[1]	N. N. Singh, E. J. Androphy, and R. N. Singh, “In vivo selection reveals combinatorial controls that define a critical exon in the spinal muscular atrophy genes,” Rna, vol. 10, no. 8, pp. 1291–1305, 2004.
[2]	A. Yenehun, K. Walraevens, and O. Batelaan, “Spatial and temporal variability of groundwater recharge in Geba basin, Northern Ethiopia,” J. African Earth Sci., vol. 134, pp. 198–212, 2017, doi: 10.1016/j.jafrearsci.2017.06.006.
[3]	W. Zhang, S. Gupta, X. Lian, and J. Liu, “Staleness-aware async-sgd for distributed deep learning,” arXiv Prepr. arXiv1511.05950, 2015.
[4]	S. S. Rwanga, “A Review on Groundwater Recharge Estimation Using Wetspass Model,” Int. Conf. Civ. Environ. Eng., pp. 156–160, 2013.
[5]	S. S. Rwanga and J. M. Ndambuki, “Approach to Quantify Groundwater Recharge Using GIS-Based Water Balance Model: A Review,” Int. J. Res. Chem. Metall. Civ. Eng., vol. 4, no. 1, 2017, doi: 10.15242/ijrcmce.ae0317115.
[6]	T. Greenhalgh, G. Robert, F. Macfarlane, P. Bate, and O. Kyriakidou, “Diffusion of innovations in service organizations: systematic review and recommendations,” milbank Q., vol. 82, no. 4, pp. 581–629, 2004.
[7]	P. Karimi and W. G. M. Bastiaanssen, “Spatial evapotranspiration, rainfall, and land use data in water accounting–Part 1: Review of the accuracy of the remote sensing data,” Hydrol. Earth Syst. Sci., vol. 19, no. 1, pp. 507–532, 2015.
[8]	W. Wang, S. Wang, X. Ma, and J. Gong, “Recent advances in catalytic hydrogenation of carbon dioxide,” Chem. Soc. Rev., vol. 40, no. 7, pp. 3703–3727, 2011.
[9]	G. A. Grell et al., “Fully coupled ‘online’ chemistry within the WRF model,” Atmos. Environ., vol. 39, no. 37, pp. 6957–6975, 2005.
[10]	B. M. Fiseha, S. G. Setegn, A. M. Melesse, E. Volpi, and A. Fiori, “Hydrological analysis of the Upper Tiber River Basin, Central Italy: a watershed modelling approach,” Hydrol. Process., vol. 27, no. 16, pp. 2339–2351, 2013.
[11]	C. Ngongondo, C.-Y. Xu, L. M. Tallaksen, and B. Alemaw, “Observed and simulated changes in the water balance components over Malawi, during 1971–2000,” Quat. Int., vol. 369, pp. 7–16, 2015.
[12]	N. Pepin et al., “Elevation-dependent warming in mountain regions of the world,” Nat. Clim. Chang., vol. 5, no. 5, pp. 424–430, 2015.
[13]	G. Y. Lu and D. W. Wong, “An adaptive inverse-distance weighting spatial interpolation technique,” Comput. Geosci., vol. 34, no. 9, pp. 1044–1055, 2008.
[14]	G. Gebremeskel and A. Kebede, “Spatial estimation of long-term seasonal and annual groundwater resources: application of WetSpass model in the y,” Phys. Geogr., vol. 38, no. 4, pp. 338–359, 2017, doi: 10.1080/02723646.2017.1302791.
[15]	Z. Fang et al., “Plasma levels of microRNA-24, microRNA-320a, and microRNA-423-5p are potential biomarkers for colorectal carcinoma,” J. Exp. Clin. cancer Res., vol. 34, no. 1, pp. 1–10, 2015.
[16]	H. Kling and H. P. Nachtnebel, “A spatio-temporal comparison of water balance modelling in an Alpine catchment,” Hydrol. Process. An Int. J., vol. 23, no. 7, pp. 997–1009, 2009.
[17]	G. J. McCabe and D. M. Wolock, “Temporal and spatial variability of the global water balance,” Clim. Change, vol. 120, no. 1, pp. 375–387, 2013.
[18]	F. Herrmann, L. Keller, R. Kunkel, H. Vereecken, and F. Wendland, “Determination of spatially differentiated water balance components including groundwater recharge on the Federal State level–A case study using the mGROWA model in North Rhine-Westphalia (Germany),” J. Hydrol. Reg. Stud., vol. 4, pp. 294–312, 2015.
[19]	R. Graf and J. Przybyłek, “Estimation of shallow groundwater recharge using a gis-based distributed water balance model,” Quaest. Geogr., vol. 33, no. 3, pp. 27–37, 2014, doi: 10.2478/quageo-2014-0027.
[20]	E. D. White et al., “Development and application of a physically based landscape water balance in the SWAT model,” Hydrol. Process., vol. 25, no. 6, pp. 915–925, 2011.
[21]	B. Uniyal, M. K. Jha, and A. K. Verma, “Assessing climate change impact on water balance components of a river basin using SWAT model,” Water Resour. Manag., vol. 29, no. 13, pp. 4767–4785, 2015.
[22]	M. Jiang, W. M. Griffin, C. Hendrickson, P. Jaramillo, J. VanBriesen, and A. Venkatesh, “Life cycle greenhouse gas emissions of Marcellus shale gas,” Environ. Res. Lett., vol. 6, no. 3, p. 34014, 2011.
[23]	S. Jian, C. Zhao, S. Fang, and K. Yu, “Effects of different vegetation restoration on soil water storage and water balance in the Chinese Loess Plateau,” Agric. For. Meteorol., vol. 206, pp. 85–96, 2015.
[24]	Batelaan and F. De Smedt, “WetSpass: A flexible, GIS based, distributed recharge methodology for regional groundwater modelling,” IAHS-AISH Publ., no. 269, pp. 11-18b, 2001.
[25]	E. D. Ashaolu, J. F. Olorunfemi, I. PaulIfabiy, K. Abdollahi, and O. Batelaan, “Spatial and temporal recharge estimation of the basement complex in Nigeria, West Africa,” J. Hydrol. Reg. Stud., vol. 27, no. December 2019, p. 100658, 2020, doi: 10.1016/j.ejrh.2019.100658.
[26]	A. Teklebirhan, N. Dessie, and G. Tesfamichael, “Groundwater Recharge, Evapotranspiration and Surface Runoff Estimation Using WetSpass Modeling Method in Illala Catchment, Northern Ethiopia,” Momona Ethiop. J. Sci., vol. 4, no. 2, p. 96, 2012, doi: 10.4314/mejs.v4i2.80119.
[27]	G. Gebremeskel and A. Kebede, “Spatial estimation of long-term seasonal and annual groundwater resources: application of WetSpass model in the Werii watershed of the Tekeze River Basin, Ethiopia,” Phys. Geogr., vol. 38, no. 4, pp. 338–359, 2017, doi: 10.1080/02723646.2017.1302791.
[28]	O. Batelaan and F. De Smedt, “GIS-based recharge estimation by coupling surface-subsurface water balances,” J. Hydrol., vol. 337, no. 3–4, pp. 337–355, 2007, doi: 10.1016/j.jhydrol.2007.02.001.
[29]	O. Batelaan and S. T. Woldeamlak, “ArcView interface for WetSpass, user manual,” Version 19-5-2004, Vrije Universiteit Brussel, Brussels, Belgium, 2004.
[30]	E. Meresa, A. Girmay, and A. Gebremedhin, “Water Balance Estimation Using Integrated GIS-Based WetSpass Model in the Birki Watershed, Eastern Tigray, Northern Ethiopia,” Phys. Sci. Int. J., pp. 1–17, 2019, doi: 10.9734/psij/2019/v22i330133.
[31]	B. Dereje and D. Nedaw, “Groundwater Recharge Estimation Using WetSpass Modeling in Upper Bilate Catchment, Southern Ethiopia,” Momona Ethiop. J. Sci., vol. 11, no. 1, p. 37, 2019, doi: 10.4314/mejs.v11i1.3.
[32]	G. G. Haile, “Estimation of Groundwater Recharge and Potentials,” no. May, 2015.
[33]	K. Tilahun and B. J. Merkel, “Estimation of groundwater recharge using a GIS-based distributed water balance model in Dire Dawa, Ethiopia,” Hydrogeol. J., vol. 17, no. 6, pp. 1443–1457, 2009, doi: 10.1007/s10040-009-0455-x.
[34]	M. Al Kuisi and A. El-Naqa, “GIS based spatial groundwater recharge estimation in the jafr basin, jordan - application of wetspass models for arid regions,” Rev. Mex. Ciencias Geol., vol. 30, no. 1, pp. 96–109, 2013.

Cite This Article

Plain Text BibTeX RIS

APA Style

Seyoum Bezabih Kidane, Hayal Derb Andarge. (2022). Assessment of Water Balance Components by Using Wetspass Model: The Case of Dengego Sub-basin, Eastern Ethiopia. Hydrology, 10(2), 21-33. https://doi.org/10.11648/j.hyd.20221002.11

Copy | Download

ACS Style

Seyoum Bezabih Kidane; Hayal Derb Andarge. Assessment of Water Balance Components by Using Wetspass Model: The Case of Dengego Sub-basin, Eastern Ethiopia. Hydrology. 2022, 10(2), 21-33. doi: 10.11648/j.hyd.20221002.11

Copy | Download

AMA Style

Seyoum Bezabih Kidane, Hayal Derb Andarge. Assessment of Water Balance Components by Using Wetspass Model: The Case of Dengego Sub-basin, Eastern Ethiopia. Hydrology. 2022;10(2):21-33. doi: 10.11648/j.hyd.20221002.11

Copy | Download

@article{10.11648/j.hyd.20221002.11,
  author = {Seyoum Bezabih Kidane and Hayal Derb Andarge},
  title = {Assessment of Water Balance Components by Using Wetspass Model: The Case of Dengego Sub-basin, Eastern Ethiopia},
  journal = {Hydrology},
  volume = {10},
  number = {2},
  pages = {21-33},
  doi = {10.11648/j.hyd.20221002.11},
  url = {https://doi.org/10.11648/j.hyd.20221002.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hyd.20221002.11},
  abstract = {The search for new water resources, as well as the development of water balance models that can be used to control and manage the resource, is at the heart of the search for new water resources in eastern Ethiopia, particularly in the Dengego sub-basin, and its socio-economic significance in terms of water demand for agriculture and domestic use. The water balance components of the Dengego sub-basin were investigated using the WetSpass hydrological model. The goal of this study is to assess the water balance components in the Dengego sub-basin. According to WetSpass, the mean annual evapotranspiration, surface runoff, and groundwater recharge were 494.2, 173.6, and 20.2 mm, respectively. Actual evapotranspiration and surface runoff accounted for 25.2 percent and 71.8 percent of precipitation, respectively and recharge made up 2.9 percent of precipitation. Annually 7.3 million m3 of water recharges into the groundwater table as recharge from the precipitation on the entire watershed. The contribution of this study could be used as baseline information for regional water resource experts, policy makers and researchers for further investigation. It can also be concluded that integrated WetSpass and GIS-based models are good indicators for estimating and understanding of water balance components in a given watershed to implement an integrated watershed management plan for sustainable utilization and sustainable development.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Assessment of Water Balance Components by Using Wetspass Model: The Case of Dengego Sub-basin, Eastern Ethiopia
AU  - Seyoum Bezabih Kidane
AU  - Hayal Derb Andarge
Y1  - 2022/05/31
PY  - 2022
N1  - https://doi.org/10.11648/j.hyd.20221002.11
DO  - 10.11648/j.hyd.20221002.11
T2  - Hydrology
JF  - Hydrology
JO  - Hydrology
SP  - 21
EP  - 33
PB  - Science Publishing Group
SN  - 2330-7617
UR  - https://doi.org/10.11648/j.hyd.20221002.11
AB  - The search for new water resources, as well as the development of water balance models that can be used to control and manage the resource, is at the heart of the search for new water resources in eastern Ethiopia, particularly in the Dengego sub-basin, and its socio-economic significance in terms of water demand for agriculture and domestic use. The water balance components of the Dengego sub-basin were investigated using the WetSpass hydrological model. The goal of this study is to assess the water balance components in the Dengego sub-basin. According to WetSpass, the mean annual evapotranspiration, surface runoff, and groundwater recharge were 494.2, 173.6, and 20.2 mm, respectively. Actual evapotranspiration and surface runoff accounted for 25.2 percent and 71.8 percent of precipitation, respectively and recharge made up 2.9 percent of precipitation. Annually 7.3 million m3 of water recharges into the groundwater table as recharge from the precipitation on the entire watershed. The contribution of this study could be used as baseline information for regional water resource experts, policy makers and researchers for further investigation. It can also be concluded that integrated WetSpass and GIS-based models are good indicators for estimating and understanding of water balance components in a given watershed to implement an integrated watershed management plan for sustainable utilization and sustainable development.
VL  - 10
IS  - 2
ER  -

Copy | Download

Author Information

Seyoum Bezabih Kidane

Department of Water Resource Engineering and Management, Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia
Hayal Derb Andarge

Department of Water Resource Engineering and Management, Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Seyoum Bezabih Kidane, Hayal Derb Andarge. (2022). Assessment of Water Balance Components by Using Wetspass Model: The Case of Dengego Sub-basin, Eastern Ethiopia. Hydrology, 10(2), 21-33. https://doi.org/10.11648/j.hyd.20221002.11

Copy | Download

ACS Style

Seyoum Bezabih Kidane; Hayal Derb Andarge. Assessment of Water Balance Components by Using Wetspass Model: The Case of Dengego Sub-basin, Eastern Ethiopia. Hydrology. 2022, 10(2), 21-33. doi: 10.11648/j.hyd.20221002.11

Copy | Download

AMA Style

Seyoum Bezabih Kidane, Hayal Derb Andarge. Assessment of Water Balance Components by Using Wetspass Model: The Case of Dengego Sub-basin, Eastern Ethiopia. Hydrology. 2022;10(2):21-33. doi: 10.11648/j.hyd.20221002.11

Copy | Download

@article{10.11648/j.hyd.20221002.11,
  author = {Seyoum Bezabih Kidane and Hayal Derb Andarge},
  title = {Assessment of Water Balance Components by Using Wetspass Model: The Case of Dengego Sub-basin, Eastern Ethiopia},
  journal = {Hydrology},
  volume = {10},
  number = {2},
  pages = {21-33},
  doi = {10.11648/j.hyd.20221002.11},
  url = {https://doi.org/10.11648/j.hyd.20221002.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hyd.20221002.11},
  abstract = {The search for new water resources, as well as the development of water balance models that can be used to control and manage the resource, is at the heart of the search for new water resources in eastern Ethiopia, particularly in the Dengego sub-basin, and its socio-economic significance in terms of water demand for agriculture and domestic use. The water balance components of the Dengego sub-basin were investigated using the WetSpass hydrological model. The goal of this study is to assess the water balance components in the Dengego sub-basin. According to WetSpass, the mean annual evapotranspiration, surface runoff, and groundwater recharge were 494.2, 173.6, and 20.2 mm, respectively. Actual evapotranspiration and surface runoff accounted for 25.2 percent and 71.8 percent of precipitation, respectively and recharge made up 2.9 percent of precipitation. Annually 7.3 million m3 of water recharges into the groundwater table as recharge from the precipitation on the entire watershed. The contribution of this study could be used as baseline information for regional water resource experts, policy makers and researchers for further investigation. It can also be concluded that integrated WetSpass and GIS-based models are good indicators for estimating and understanding of water balance components in a given watershed to implement an integrated watershed management plan for sustainable utilization and sustainable development.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Assessment of Water Balance Components by Using Wetspass Model: The Case of Dengego Sub-basin, Eastern Ethiopia
AU  - Seyoum Bezabih Kidane
AU  - Hayal Derb Andarge
Y1  - 2022/05/31
PY  - 2022
N1  - https://doi.org/10.11648/j.hyd.20221002.11
DO  - 10.11648/j.hyd.20221002.11
T2  - Hydrology
JF  - Hydrology
JO  - Hydrology
SP  - 21
EP  - 33
PB  - Science Publishing Group
SN  - 2330-7617
UR  - https://doi.org/10.11648/j.hyd.20221002.11
AB  - The search for new water resources, as well as the development of water balance models that can be used to control and manage the resource, is at the heart of the search for new water resources in eastern Ethiopia, particularly in the Dengego sub-basin, and its socio-economic significance in terms of water demand for agriculture and domestic use. The water balance components of the Dengego sub-basin were investigated using the WetSpass hydrological model. The goal of this study is to assess the water balance components in the Dengego sub-basin. According to WetSpass, the mean annual evapotranspiration, surface runoff, and groundwater recharge were 494.2, 173.6, and 20.2 mm, respectively. Actual evapotranspiration and surface runoff accounted for 25.2 percent and 71.8 percent of precipitation, respectively and recharge made up 2.9 percent of precipitation. Annually 7.3 million m3 of water recharges into the groundwater table as recharge from the precipitation on the entire watershed. The contribution of this study could be used as baseline information for regional water resource experts, policy makers and researchers for further investigation. It can also be concluded that integrated WetSpass and GIS-based models are good indicators for estimating and understanding of water balance components in a given watershed to implement an integrated watershed management plan for sustainable utilization and sustainable development.
VL  - 10
IS  - 2
ER  -

Copy | Download