Parameters Estimation at Ungauged Catchments Using Rainfall-Runoff Model, Upper Tekeze Basin, Ethiopia

Amare Tadesse Muche

doi:doi:10.11648/j.es.20210603.13

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Parameters Estimation at Ungauged Catchments Using Rainfall-Runoff Model, Upper Tekeze Basin, Ethiopia

Amare Tadesse Muche

Published in Engineering Science (Volume 6, Issue 3)

Received: 8 May 2021 Accepted: 10 August 2021 Published: 18 August 2021

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Abstract

This study was conducted for parametres estimation and stream flow prediction at ungauged catchments on the case of Upper Tekeze basin, Ethiopia by using Rainfall-runoff model. In the basin, most of the catchments were ungauged. The basin has 9199km² and 3638km² gauged and ungauged catchments respectively. Rainfall and stream flow data were analyzed in the period of 1992-2006 and 1992-20006, respectively. Parameters calibrated for gauged catchments were extrapolated to ungauged catchments on the base of similar physical catchment characteristics using regionalization techniques. Regionalization methods such as multiple linear regression, spatial proximity, sub basin mean and area ratio were applied to transfer model parameters values from gauged to ungauged catchments. For this study seven gauged catchments were satisfied objective functions in the calibrated and validation period, for example in Gheba catchment Nash-Sutcliffe model efficiency coefficient (NSE), relative volume error (RVE) and coefficient of determination (R²) were, 0.81, -4.25, 0.77 and 0.71, 5.5, 0.74 respectively. Stream flow simulation at ungauged catchments by using spatial proximity and sub basin mean method were contributing high runoff volume compare to other methods. The result for this study shows that the Key model parameters like runoff coefficient (Beta), recession coefficient of upper reservoir zone (Khq), Limit for evapotranspiration (Lp), field capacity (Fc), percolation (Perc) as defaulting value when applying HBV-96 model to the future regionalization studies. Model parameters were calibrated manually by try and error rules, however it was tidies therefore more creative automatic model calibration techniques could be useful for upcoming studies. Thus, Current and future water resources development endeavors may use apply such discharge data for planning and design purposes.

Published in	Engineering Science (Volume 6, Issue 3)
DOI	10.11648/j.es.20210603.13
Page(s)	45-56
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

HBV-96 Model, Parameter Estimation, Regionalization, Ungauged Catchment, Upper Tekeze Basin

References

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[2]	Akawka, A. L.; Haile, Alemseged Tamiru.(2014). Regionalization of conceptual rainfall-runoff model parameters for predicting stream flows of ungauged catchments in the Blue Nile Basin In Eastern Nile Technical Regional Office (ENTRO). Second New Nile Conference on New Nile Opportunities: Scientific Advances towards Prosperity in the eastern Nile Basin, Addis Ababa, Ethiopia, 8-9 December 2014. Book of abstracts, Addis Ababa, Ethiopia: Eastern Nile Technical Regional Office (ENTRO). pp. 96.
[3]	Bates, B. C. (1994) Regionalization of hydrologic data: a review. Cooperative Research Centre for Catchment Hydrology, Monash University, Victoria, Australia.
[4]	Birhane, M. (2013). Estimation of monthly flow for ungauged catchment (Case Study Baro - Akobo basin) Ethiopia. MSc thesis. Addis Ababa University, Ethiopia.
[5]	Bishaw, Y. (2012). Evaluation of climate change impact on Omo Gibe basin (case study of Gilgel Gibe III reservior), Ethiopia MSc thesis. Addis Ababa Univesity, Ethiopia.
[6]	Hundecha. ( 2005). regionalization Parameters of Conceptual Rainfall - Runoff Model,. University of Stuttgart Germany.
[7]	Kim, U. and Kaluarachchi, J. J., "Application of parameter estimation and regionalization methodologies to ungauged basins of the Upper Blue Nile River Basin, Ethiopia" (2008).
[8]	Mazvimavi, D. (2003). Estimation of flow characteristics of ungauged catchments; Case study in Zimbabwe. ITC, Enshede.
[9]	Merz, R. and Blaschl, G. (2004).. Regionalization of catchment model parameters. Journal of Hydrology, 287 (1-4): 95-123.
[10]	Moreda, F. (1999). Conceptual Rainfall-Runoff Models for Different Time Steps with Special Consideration for Semi-arid and Arid Catchments Laboratory of Hydrology and Inter-University Program in Water Resources Engineering Vrije Universiteit Brussel.
[11]	Oyebande, L. (2001), Streamflow regime change and ecological response in the Lake Chad Basin in 27 Nigeria., in: Hydro-ecology: Linking Hydrology to Aquatic Ecology, IAHS Publ. No. 266. Ed. 28 Mike Acreman, International Association of Hydrological Sciences, p. 101-111.
[12]	Prajakta, J. and Bloschl, G (2005). A comparison of regionalization methods for catchment mod Hydrological Earth System rological Earth System Science, 9: 157-171.
[13]	Perera, U. (2009). Ungauged catchment hydrology. Case study on Lake Tana Basin, Ethiopia. Enshede, Netherlands.
[14]	Seibert, J. (1999). Conceptual runoff models fiction or representation of reality? Acta Univ. Ups., Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 436. 52 pp. Uppsala. ISBN 91-554-4402-4, Uppsala University, Swed.
[15]	Tufa, K. (2011). Performance comparison of conceptual rainfall-runoff models on Muger catchment (Abbay River Basin). MSc Thesis. Addis Ababa University, Ethiopia.
[16]	Vandewiele, G and Elias, A. (1995). Monthly water balance of ungauged catchments obtained by geographical reginalization. Journal of Hydrology, 170 (1-4): 277-291.
[17]	White K. L. and Chaubey I., (2005). Sensitivity Analysis, Calibration and Validations for a Multisite and Multivariable SWAT Model. Journal of the American Water Resources Association (JAWRA), 41 (5): 1077-1089.
[18]	Xiangyi Kong, Zhijia Li, Zhiyu Liu, "Flood Prediction in Ungauged Basins by Physical-Based TOPKAPI Model", Advances in Meteorology, vol. 2019, Article ID 4795853, 16 pages, 2019.

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APA Style

Amare Tadesse Muche. (2021). Parameters Estimation at Ungauged Catchments Using Rainfall-Runoff Model, Upper Tekeze Basin, Ethiopia. Engineering Science, 6(3), 45-56. https://doi.org/10.11648/j.es.20210603.13

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ACS Style

Amare Tadesse Muche. Parameters Estimation at Ungauged Catchments Using Rainfall-Runoff Model, Upper Tekeze Basin, Ethiopia. Eng. Sci. 2021, 6(3), 45-56. doi: 10.11648/j.es.20210603.13

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AMA Style

Amare Tadesse Muche. Parameters Estimation at Ungauged Catchments Using Rainfall-Runoff Model, Upper Tekeze Basin, Ethiopia. Eng Sci. 2021;6(3):45-56. doi: 10.11648/j.es.20210603.13

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@article{10.11648/j.es.20210603.13,
  author = {Amare Tadesse Muche},
  title = {Parameters Estimation at Ungauged Catchments Using Rainfall-Runoff Model, Upper Tekeze Basin, Ethiopia},
  journal = {Engineering Science},
  volume = {6},
  number = {3},
  pages = {45-56},
  doi = {10.11648/j.es.20210603.13},
  url = {https://doi.org/10.11648/j.es.20210603.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.es.20210603.13},
  abstract = {This study was conducted for parametres estimation and stream flow prediction at ungauged catchments on the case of Upper Tekeze basin, Ethiopia by using Rainfall-runoff model. In the basin, most of the catchments were ungauged. The basin has 9199km2 and 3638km2 gauged and ungauged catchments respectively. Rainfall and stream flow data were analyzed in the period of 1992-2006 and 1992-20006, respectively. Parameters calibrated for gauged catchments were extrapolated to ungauged catchments on the base of similar physical catchment characteristics using regionalization techniques. Regionalization methods such as multiple linear regression, spatial proximity, sub basin mean and area ratio were applied to transfer model parameters values from gauged to ungauged catchments. For this study seven gauged catchments were satisfied objective functions in the calibrated and validation period, for example in Gheba catchment Nash-Sutcliffe model efficiency coefficient (NSE), relative volume error (RVE) and coefficient of determination (R2) were, 0.81, -4.25, 0.77 and 0.71, 5.5, 0.74 respectively. Stream flow simulation at ungauged catchments by using spatial proximity and sub basin mean method were contributing high runoff volume compare to other methods. The result for this study shows that the Key model parameters like runoff coefficient (Beta), recession coefficient of upper reservoir zone (Khq), Limit for evapotranspiration (Lp), field capacity (Fc), percolation (Perc) as defaulting value when applying HBV-96 model to the future regionalization studies. Model parameters were calibrated manually by try and error rules, however it was tidies therefore more creative automatic model calibration techniques could be useful for upcoming studies. Thus, Current and future water resources development endeavors may use apply such discharge data for planning and design purposes.},
 year = {2021}
}

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TY  - JOUR
T1  - Parameters Estimation at Ungauged Catchments Using Rainfall-Runoff Model, Upper Tekeze Basin, Ethiopia
AU  - Amare Tadesse Muche
Y1  - 2021/08/18
PY  - 2021
N1  - https://doi.org/10.11648/j.es.20210603.13
DO  - 10.11648/j.es.20210603.13
T2  - Engineering Science
JF  - Engineering Science
JO  - Engineering Science
SP  - 45
EP  - 56
PB  - Science Publishing Group
SN  - 2578-9279
UR  - https://doi.org/10.11648/j.es.20210603.13
AB  - This study was conducted for parametres estimation and stream flow prediction at ungauged catchments on the case of Upper Tekeze basin, Ethiopia by using Rainfall-runoff model. In the basin, most of the catchments were ungauged. The basin has 9199km2 and 3638km2 gauged and ungauged catchments respectively. Rainfall and stream flow data were analyzed in the period of 1992-2006 and 1992-20006, respectively. Parameters calibrated for gauged catchments were extrapolated to ungauged catchments on the base of similar physical catchment characteristics using regionalization techniques. Regionalization methods such as multiple linear regression, spatial proximity, sub basin mean and area ratio were applied to transfer model parameters values from gauged to ungauged catchments. For this study seven gauged catchments were satisfied objective functions in the calibrated and validation period, for example in Gheba catchment Nash-Sutcliffe model efficiency coefficient (NSE), relative volume error (RVE) and coefficient of determination (R2) were, 0.81, -4.25, 0.77 and 0.71, 5.5, 0.74 respectively. Stream flow simulation at ungauged catchments by using spatial proximity and sub basin mean method were contributing high runoff volume compare to other methods. The result for this study shows that the Key model parameters like runoff coefficient (Beta), recession coefficient of upper reservoir zone (Khq), Limit for evapotranspiration (Lp), field capacity (Fc), percolation (Perc) as defaulting value when applying HBV-96 model to the future regionalization studies. Model parameters were calibrated manually by try and error rules, however it was tidies therefore more creative automatic model calibration techniques could be useful for upcoming studies. Thus, Current and future water resources development endeavors may use apply such discharge data for planning and design purposes.
VL  - 6
IS  - 3
ER  -

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Author Information

Amare Tadesse Muche

Faculty of Water Resources and Irrigation Engineering, Arbaminch Water Technology Institute, Arbaminch, Ethiopia

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Amare Tadesse Muche. (2021). Parameters Estimation at Ungauged Catchments Using Rainfall-Runoff Model, Upper Tekeze Basin, Ethiopia. Engineering Science, 6(3), 45-56. https://doi.org/10.11648/j.es.20210603.13

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ACS Style

Amare Tadesse Muche. Parameters Estimation at Ungauged Catchments Using Rainfall-Runoff Model, Upper Tekeze Basin, Ethiopia. Eng. Sci. 2021, 6(3), 45-56. doi: 10.11648/j.es.20210603.13

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AMA Style

Amare Tadesse Muche. Parameters Estimation at Ungauged Catchments Using Rainfall-Runoff Model, Upper Tekeze Basin, Ethiopia. Eng Sci. 2021;6(3):45-56. doi: 10.11648/j.es.20210603.13

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@article{10.11648/j.es.20210603.13,
  author = {Amare Tadesse Muche},
  title = {Parameters Estimation at Ungauged Catchments Using Rainfall-Runoff Model, Upper Tekeze Basin, Ethiopia},
  journal = {Engineering Science},
  volume = {6},
  number = {3},
  pages = {45-56},
  doi = {10.11648/j.es.20210603.13},
  url = {https://doi.org/10.11648/j.es.20210603.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.es.20210603.13},
  abstract = {This study was conducted for parametres estimation and stream flow prediction at ungauged catchments on the case of Upper Tekeze basin, Ethiopia by using Rainfall-runoff model. In the basin, most of the catchments were ungauged. The basin has 9199km2 and 3638km2 gauged and ungauged catchments respectively. Rainfall and stream flow data were analyzed in the period of 1992-2006 and 1992-20006, respectively. Parameters calibrated for gauged catchments were extrapolated to ungauged catchments on the base of similar physical catchment characteristics using regionalization techniques. Regionalization methods such as multiple linear regression, spatial proximity, sub basin mean and area ratio were applied to transfer model parameters values from gauged to ungauged catchments. For this study seven gauged catchments were satisfied objective functions in the calibrated and validation period, for example in Gheba catchment Nash-Sutcliffe model efficiency coefficient (NSE), relative volume error (RVE) and coefficient of determination (R2) were, 0.81, -4.25, 0.77 and 0.71, 5.5, 0.74 respectively. Stream flow simulation at ungauged catchments by using spatial proximity and sub basin mean method were contributing high runoff volume compare to other methods. The result for this study shows that the Key model parameters like runoff coefficient (Beta), recession coefficient of upper reservoir zone (Khq), Limit for evapotranspiration (Lp), field capacity (Fc), percolation (Perc) as defaulting value when applying HBV-96 model to the future regionalization studies. Model parameters were calibrated manually by try and error rules, however it was tidies therefore more creative automatic model calibration techniques could be useful for upcoming studies. Thus, Current and future water resources development endeavors may use apply such discharge data for planning and design purposes.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Parameters Estimation at Ungauged Catchments Using Rainfall-Runoff Model, Upper Tekeze Basin, Ethiopia
AU  - Amare Tadesse Muche
Y1  - 2021/08/18
PY  - 2021
N1  - https://doi.org/10.11648/j.es.20210603.13
DO  - 10.11648/j.es.20210603.13
T2  - Engineering Science
JF  - Engineering Science
JO  - Engineering Science
SP  - 45
EP  - 56
PB  - Science Publishing Group
SN  - 2578-9279
UR  - https://doi.org/10.11648/j.es.20210603.13
AB  - This study was conducted for parametres estimation and stream flow prediction at ungauged catchments on the case of Upper Tekeze basin, Ethiopia by using Rainfall-runoff model. In the basin, most of the catchments were ungauged. The basin has 9199km2 and 3638km2 gauged and ungauged catchments respectively. Rainfall and stream flow data were analyzed in the period of 1992-2006 and 1992-20006, respectively. Parameters calibrated for gauged catchments were extrapolated to ungauged catchments on the base of similar physical catchment characteristics using regionalization techniques. Regionalization methods such as multiple linear regression, spatial proximity, sub basin mean and area ratio were applied to transfer model parameters values from gauged to ungauged catchments. For this study seven gauged catchments were satisfied objective functions in the calibrated and validation period, for example in Gheba catchment Nash-Sutcliffe model efficiency coefficient (NSE), relative volume error (RVE) and coefficient of determination (R2) were, 0.81, -4.25, 0.77 and 0.71, 5.5, 0.74 respectively. Stream flow simulation at ungauged catchments by using spatial proximity and sub basin mean method were contributing high runoff volume compare to other methods. The result for this study shows that the Key model parameters like runoff coefficient (Beta), recession coefficient of upper reservoir zone (Khq), Limit for evapotranspiration (Lp), field capacity (Fc), percolation (Perc) as defaulting value when applying HBV-96 model to the future regionalization studies. Model parameters were calibrated manually by try and error rules, however it was tidies therefore more creative automatic model calibration techniques could be useful for upcoming studies. Thus, Current and future water resources development endeavors may use apply such discharge data for planning and design purposes.
VL  - 6
IS  - 3
ER  -

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