Estimation of Manning’s Roughness Coefficient Through Calibration Using HEC-RAS Model: A Case Study of Rohri Canal, Pakistan

Shan-e-hyder Soomro; Caihong Hu; Muhammad Munir Babar; Mairaj Hyder Alias Aamir

doi:doi:10.11648/j.ajce.20210901.11

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Estimation of Manning’s Roughness Coefficient Through Calibration Using HEC-RAS Model: A Case Study of Rohri Canal, Pakistan

Shan-e-hyder Soomro, Caihong Hu, Muhammad Munir Babar, Mairaj Hyder Alias Aamir

Published in American Journal of Civil Engineering (Volume 9, Issue 1)

Received: 17 October 2020 Accepted: 14 January 2021 Published: 22 January 2021

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Abstract

In understanding the hydraulic characteristics of river system flow, the hydraulic simulation models are essential tools. The suitable value of Manning’s roughness coefficient “n” is chosen through method of calibration; i.e., the value which reproduces observed data to an acceptable accuracy. In the present study, the unsteady flow model HEC-RAS is applied to Rohri Canal (upstream Rohri) to estimate value of manning’s coefficient through the procedure. Through a series of systematic. Studies to identify the n values in a hypothetical open channel and a natural stream stretch, several identification procedures based on unconstrained and constrained minimizations are analyzed. However, the decision on what value to adopt is a complex task, especially when dealing with natural water courses due to the various factors that affect this coefficient ‘n’. The data was collected in the period of January (2010) to December (2011), and divided equally into two sets. The first set is for calibration purpose, estimation of (n) and the second set for the verification process of testing the model with actual data to establish its predictability accuracy. Graphical and statistical approaches were used for model calibration and verification. Results show that the manning’s roughness coefficient “n” for Rohri Canal which shows good agreement between observed and computed hydrograph is 0.042.

Published in	American Journal of Civil Engineering (Volume 9, Issue 1)
DOI	10.11648/j.ajce.20210901.11
Page(s)	1-10
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), 2021. Published by Science Publishing Group

Keywords

Manning’s Roughness Coefficient, Calibration, Validation, Hydrograph, HEC-RAS

References

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[3]	Ding, Y. and Wang, S. Y. (2004), “Identification of Manning’s Roughness Coefficient in Channel Network Using Adjoint Analysis”, National Center for Computational Hydroscience and Engineering, University of Mississippi, USA.
[4]	Doncker, L., Troch, P., Verhoeven, R., Bal, K., Meire, P., & Quintelier, J. (2009). Determination of the Manning roughness coefficient influenced by vegetation in the river Aa and Biebrza river. Environmental fluid mechanics, 9 (5), 549-567.
[5]	Fard, R. S., Heidarnejad, M., & Zohrabi, N. (2013). Study factors influencing the hydraulic roughness coefficient of the Karun river (Iran). International Journal of Farming and Allied Sciences, 22 (2), 976-981.
[6]	Gupta, B. L. (2007), “Water resources systems and Management”, 2nd edition. ISBN: 81-8014-106-3, Standard Publishers, Delhi. www.engineering books.co. in.
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[10]	Olsen, N. R. B. (2002). Hydroinformatics, fluvial hydraulics and limnology. Norwegian University of Science and Technology. Trondheim, Noruega.
[11]	Phillips, J. V., & Tadayon, S. (2006). Selection of Manning's roughness coefficient for natural and constructed vegetated and non-vegetated channels, and vegetation maintenance plan guidelines for vegetated channels in Central Arizona: US Department of the Interior, US Geological Survey Washington, DC.
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[15]	Teixeira, E. K. d. C., Coelho, M. M. L. P., Pinto, E. J. d. A., Diniz, J. G., & Saliba, A. P. M. (2018). Manning’s roughness coefficient for the Doce River. RBRH, 23.
[16]	HEC (Hydrologic Engineering Center) (2009) “One dimensional – unsteady flow through a full network of open channels”, User's manual, U.S. Army Corps of Engineers, Davis, CA. (http://www.hec.usace.army.mil/software/HEC-RAS/hecrasdownload.html).
[17]	US Army Corps of Engineers, “HEC-RAS, User Manual, 2008”, Hydrologic Engineering Center, Davis Version 4.0.
[18]	R. Vijay, A. Sargoankar and A. Gupta, (2007) “Hydrodynamic Simulation of River Yamuna for Riverbed Assessment: A Case Study of Delhi Region”, Environmental Monitoring Assessment, Vol. 130, No. 1-3, pp. 381-387.
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APA Style

Shan-e-hyder Soomro, Caihong Hu, Muhammad Munir Babar, Mairaj Hyder Alias Aamir. (2021). Estimation of Manning’s Roughness Coefficient Through Calibration Using HEC-RAS Model: A Case Study of Rohri Canal, Pakistan. American Journal of Civil Engineering, 9(1), 1-10. https://doi.org/10.11648/j.ajce.20210901.11

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ACS Style

Shan-e-hyder Soomro; Caihong Hu; Muhammad Munir Babar; Mairaj Hyder Alias Aamir. Estimation of Manning’s Roughness Coefficient Through Calibration Using HEC-RAS Model: A Case Study of Rohri Canal, Pakistan. Am. J. Civ. Eng. 2021, 9(1), 1-10. doi: 10.11648/j.ajce.20210901.11

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AMA Style

Shan-e-hyder Soomro, Caihong Hu, Muhammad Munir Babar, Mairaj Hyder Alias Aamir. Estimation of Manning’s Roughness Coefficient Through Calibration Using HEC-RAS Model: A Case Study of Rohri Canal, Pakistan. Am J Civ Eng. 2021;9(1):1-10. doi: 10.11648/j.ajce.20210901.11

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@article{10.11648/j.ajce.20210901.11,
  author = {Shan-e-hyder Soomro and Caihong Hu and Muhammad Munir Babar and Mairaj Hyder Alias Aamir},
  title = {Estimation of Manning’s Roughness Coefficient Through Calibration Using HEC-RAS Model: A Case Study of Rohri Canal, Pakistan},
  journal = {American Journal of Civil Engineering},
  volume = {9},
  number = {1},
  pages = {1-10},
  doi = {10.11648/j.ajce.20210901.11},
  url = {https://doi.org/10.11648/j.ajce.20210901.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20210901.11},
  abstract = {In understanding the hydraulic characteristics of river system flow, the hydraulic simulation models are essential tools. The suitable value of Manning’s roughness coefficient “n” is chosen through method of calibration; i.e., the value which reproduces observed data to an acceptable accuracy. In the present study, the unsteady flow model HEC-RAS is applied to Rohri Canal (upstream Rohri) to estimate value of manning’s coefficient through the procedure. Through a series of systematic. Studies to identify the n values in a hypothetical open channel and a natural stream stretch, several identification procedures based on unconstrained and constrained minimizations are analyzed. However, the decision on what value to adopt is a complex task, especially when dealing with natural water courses due to the various factors that affect this coefficient ‘n’. The data was collected in the period of January (2010) to December (2011), and divided equally into two sets. The first set is for calibration purpose, estimation of (n) and the second set for the verification process of testing the model with actual data to establish its predictability accuracy. Graphical and statistical approaches were used for model calibration and verification. Results show that the manning’s roughness coefficient “n” for Rohri Canal which shows good agreement between observed and computed hydrograph is 0.042.},
 year = {2021}
}

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TY  - JOUR
T1  - Estimation of Manning’s Roughness Coefficient Through Calibration Using HEC-RAS Model: A Case Study of Rohri Canal, Pakistan
AU  - Shan-e-hyder Soomro
AU  - Caihong Hu
AU  - Muhammad Munir Babar
AU  - Mairaj Hyder Alias Aamir
Y1  - 2021/01/22
PY  - 2021
N1  - https://doi.org/10.11648/j.ajce.20210901.11
DO  - 10.11648/j.ajce.20210901.11
T2  - American Journal of Civil Engineering
JF  - American Journal of Civil Engineering
JO  - American Journal of Civil Engineering
SP  - 1
EP  - 10
PB  - Science Publishing Group
SN  - 2330-8737
UR  - https://doi.org/10.11648/j.ajce.20210901.11
AB  - In understanding the hydraulic characteristics of river system flow, the hydraulic simulation models are essential tools. The suitable value of Manning’s roughness coefficient “n” is chosen through method of calibration; i.e., the value which reproduces observed data to an acceptable accuracy. In the present study, the unsteady flow model HEC-RAS is applied to Rohri Canal (upstream Rohri) to estimate value of manning’s coefficient through the procedure. Through a series of systematic. Studies to identify the n values in a hypothetical open channel and a natural stream stretch, several identification procedures based on unconstrained and constrained minimizations are analyzed. However, the decision on what value to adopt is a complex task, especially when dealing with natural water courses due to the various factors that affect this coefficient ‘n’. The data was collected in the period of January (2010) to December (2011), and divided equally into two sets. The first set is for calibration purpose, estimation of (n) and the second set for the verification process of testing the model with actual data to establish its predictability accuracy. Graphical and statistical approaches were used for model calibration and verification. Results show that the manning’s roughness coefficient “n” for Rohri Canal which shows good agreement between observed and computed hydrograph is 0.042.
VL  - 9
IS  - 1
ER  -

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Author Information

Shan-e-hyder Soomro

School of Water Conservancy Science & Engineering, Zhengzhou University, Zhengzhou, China
Caihong Hu

School of Water Conservancy Science & Engineering, Zhengzhou University, Zhengzhou, China
Muhammad Munir Babar

U.S.-Pakistan Center for Advanced Studies in Water, Mehran University of Engineering and Technology Jamshoro, Sindh, Pakistan
Mairaj Hyder Alias Aamir

School of Civil, Mining, and Environment, University of Wollongong, Northfields Ave Wollongong, Australia

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APA Style

Shan-e-hyder Soomro, Caihong Hu, Muhammad Munir Babar, Mairaj Hyder Alias Aamir. (2021). Estimation of Manning’s Roughness Coefficient Through Calibration Using HEC-RAS Model: A Case Study of Rohri Canal, Pakistan. American Journal of Civil Engineering, 9(1), 1-10. https://doi.org/10.11648/j.ajce.20210901.11

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ACS Style

Shan-e-hyder Soomro; Caihong Hu; Muhammad Munir Babar; Mairaj Hyder Alias Aamir. Estimation of Manning’s Roughness Coefficient Through Calibration Using HEC-RAS Model: A Case Study of Rohri Canal, Pakistan. Am. J. Civ. Eng. 2021, 9(1), 1-10. doi: 10.11648/j.ajce.20210901.11

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AMA Style

Shan-e-hyder Soomro, Caihong Hu, Muhammad Munir Babar, Mairaj Hyder Alias Aamir. Estimation of Manning’s Roughness Coefficient Through Calibration Using HEC-RAS Model: A Case Study of Rohri Canal, Pakistan. Am J Civ Eng. 2021;9(1):1-10. doi: 10.11648/j.ajce.20210901.11

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@article{10.11648/j.ajce.20210901.11,
  author = {Shan-e-hyder Soomro and Caihong Hu and Muhammad Munir Babar and Mairaj Hyder Alias Aamir},
  title = {Estimation of Manning’s Roughness Coefficient Through Calibration Using HEC-RAS Model: A Case Study of Rohri Canal, Pakistan},
  journal = {American Journal of Civil Engineering},
  volume = {9},
  number = {1},
  pages = {1-10},
  doi = {10.11648/j.ajce.20210901.11},
  url = {https://doi.org/10.11648/j.ajce.20210901.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20210901.11},
  abstract = {In understanding the hydraulic characteristics of river system flow, the hydraulic simulation models are essential tools. The suitable value of Manning’s roughness coefficient “n” is chosen through method of calibration; i.e., the value which reproduces observed data to an acceptable accuracy. In the present study, the unsteady flow model HEC-RAS is applied to Rohri Canal (upstream Rohri) to estimate value of manning’s coefficient through the procedure. Through a series of systematic. Studies to identify the n values in a hypothetical open channel and a natural stream stretch, several identification procedures based on unconstrained and constrained minimizations are analyzed. However, the decision on what value to adopt is a complex task, especially when dealing with natural water courses due to the various factors that affect this coefficient ‘n’. The data was collected in the period of January (2010) to December (2011), and divided equally into two sets. The first set is for calibration purpose, estimation of (n) and the second set for the verification process of testing the model with actual data to establish its predictability accuracy. Graphical and statistical approaches were used for model calibration and verification. Results show that the manning’s roughness coefficient “n” for Rohri Canal which shows good agreement between observed and computed hydrograph is 0.042.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Estimation of Manning’s Roughness Coefficient Through Calibration Using HEC-RAS Model: A Case Study of Rohri Canal, Pakistan
AU  - Shan-e-hyder Soomro
AU  - Caihong Hu
AU  - Muhammad Munir Babar
AU  - Mairaj Hyder Alias Aamir
Y1  - 2021/01/22
PY  - 2021
N1  - https://doi.org/10.11648/j.ajce.20210901.11
DO  - 10.11648/j.ajce.20210901.11
T2  - American Journal of Civil Engineering
JF  - American Journal of Civil Engineering
JO  - American Journal of Civil Engineering
SP  - 1
EP  - 10
PB  - Science Publishing Group
SN  - 2330-8737
UR  - https://doi.org/10.11648/j.ajce.20210901.11
AB  - In understanding the hydraulic characteristics of river system flow, the hydraulic simulation models are essential tools. The suitable value of Manning’s roughness coefficient “n” is chosen through method of calibration; i.e., the value which reproduces observed data to an acceptable accuracy. In the present study, the unsteady flow model HEC-RAS is applied to Rohri Canal (upstream Rohri) to estimate value of manning’s coefficient through the procedure. Through a series of systematic. Studies to identify the n values in a hypothetical open channel and a natural stream stretch, several identification procedures based on unconstrained and constrained minimizations are analyzed. However, the decision on what value to adopt is a complex task, especially when dealing with natural water courses due to the various factors that affect this coefficient ‘n’. The data was collected in the period of January (2010) to December (2011), and divided equally into two sets. The first set is for calibration purpose, estimation of (n) and the second set for the verification process of testing the model with actual data to establish its predictability accuracy. Graphical and statistical approaches were used for model calibration and verification. Results show that the manning’s roughness coefficient “n” for Rohri Canal which shows good agreement between observed and computed hydrograph is 0.042.
VL  - 9
IS  - 1
ER  -

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