Discussions and Closures
Oct 31, 2017

Closure to “Parameter Estimation of Extended Nonlinear Muskingum Models with the Weed Optimization Algorithm” by Farzan Hamedi, Omid Bozorg-Haddad, Maryam Pazoki, Hamid-Reza Asgari, Mehran Parsa, and Hugo A. Loáiciga

This article is a reply.
VIEW THE ORIGINAL ARTICLE
Publication: Journal of Irrigation and Drainage Engineering
Volume 144, Issue 1

Get full access to this article

View all available purchase options and get full access to this article.

References

Asgari, H-R., Bozorg-Haddad, O., Pazoki, M., and Loáiciga, H. A. (2016). “The weed optimization algorithm for optimal reservoir operation.” J. Irrig. Drain. Eng., 04015055.
Bozorg-Haddad, O., Afshar, A., and Mariño, M. A. (2011). “Multi-reservoir optimization in discrete and continuous domain.” ICE Water Manage., 164(2), 57–72.
Bozorg-Haddad, O., Hamedi, F., Orouji, H., Pazoki, M., and Loáiciga, H. A. (2015a). “A re-arameterized and improved nonlinear Muskingum model for flood routing.” Water Resour. Manage., 29(9), 3419–3440.
Bozorg-Haddad, O., Karimirad, I., Seifollahi-Aghmiuni, S., and Loáiciga, H. A. (2015b). “Development and application of the bat algorithm for optimizing the operation of reservoir systems.” J. Water Resour. Plann. Manage., 04014097.
Bozorg-Haddad, O., Moravej, M., and Loáiciga, H. A. (2015c). “Application of the water cycle algorithm to the optimal operation of reservoir systems.” J. Irrig. Drain. Eng., 04014064.
Chow, V. T. (1959). Open channel hydraulics, McGraw-Hill, New York.
Chu, H. J., and Chang, L. C. (2009). “Applying particle swarm optimization to parameter estimation of the nonlinear Muskingum model.” J. Hydrol. Eng., 1024–1027.
Das, A. (2004). “Parameter estimation for Muskingum models.” J. Irrig. Drain. Eng., 140–147.
Das, A. (2007). “Chance-constrained optimization-based parameter estimation for Muskingum models.” J. Irrig. Drain. Eng., 487–494.
Easa, S. M. (2013). “New and improved four-parameter non-linear Muskingum model.” Proc. ICE Water Manage., 167(5), 288–298.
Garousi-Nejad, I., Bozorg-Haddad, O., and Loáiciga, H. A. (2016). “Modified firefly algorithm for solving multi-reservoir operation in continuous and discrete domains.” J. Water Resour. Plann. Manage., 04016029.
Geem, Z. W. (2011). “Parameter estimation of the nonlinear Muskingum model using parameter-setting-free harmony search algorithm.” J. Hydrol. Eng., 684–688.
Gill, M. A. (1978). “Flood routing by Muskingum method.” J. Hydrol., 36(3–4), 353–363.
Hamedi, F., Bozorg-Haddad, O., Orouji, H., Fallah-Mehdipour, E., and Mariño, M. A. (2014). “Discussion of “Parameter estimation of the nonlinear Muskingum flood-routing model using a hybrid harmony search algorithm.” by Halil Karahan, Gurhan Gurarslan, and Zong Woo Geem.” J. Hydrol. Eng., 845–847.
Karahan, H., Gurarslan, G., and Geem, Z. W. (2013). “Parameter estimation of the nonlinear Muskingum flood-routing model using a hybrid harmony search algorithm.” J. Hydrol. Eng., 352–360.
Kim, J. H., Geem, Z. W., and Kim, E. S. (2001). “Parameter estimation of the nonlinear Muskingum model using harmony search.” J. Am. Water Resour. Assoc., 37(5), 1131–1138.
Larson, R. E. (1968). State increment dynamic programming, Elsevier Science, New York.
Mehrabian, A. R., and Lucas, C. (2006). “A novel numerical optimization algorithm inspired from weed colonization.” Ecol. Inf., 1(4), 355–366.
Niazkar, M., and Afzali, S. (2015). “Assessment of modified honey bee mating optimization for parameter estimation of nonlinear Muskingum models.” J. Hydraul. Eng., 137–142.
Orouji, H., Bozorg-Haddad, O., Fallah-Mehdipour, E., and Mariño, M. A. (2012). “Flood routing in branched river by genetic programming.” Proc. Inst. Civil Eng., 167(2), 115–123.
Orouji, H., Bozorg-Haddad, O., Fallah-Mehdipour, E., and Mariño, M. A. (2013). “Estimation of Muskingum parameter by meta-heuristic algorithms.” Proc. Inst. Civil Eng., 166(6), 315–324.
Solgi, M., Bozorg-Haddad, O., and Loáiciga, H. A. (2017). “The enhanced honey-bee mating optimization algorithm for water resources optimization.” Water Resour. Manage., 31(3), 885–901.
Wardlaw, R., and Sharif, M. (1999). “Evaluation of genetic algorithms for optimal reservoir system operation.” J. Water Resour. Plann. Manage., 25–33.

Information & Authors

Information

Published In

Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 144Issue 1January 2018

History

Received: May 5, 2017
Accepted: Jun 29, 2017
Published online: Oct 31, 2017
Published in print: Jan 1, 2018
Discussion open until: Mar 31, 2018

Permissions

Request permissions for this article.

Authors

Affiliations

Hamid-Reza Asgari [email protected]
M.Sc. Graduate, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Dept. of Irrigation and Reclamation Engineering, Univ. of Tehran, Karaj, 31587-77871 Tehran, Iran. E-mail: [email protected]
Omid Bozorg-Haddad [email protected]
Professor, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Dept. of Irrigation and Reclamation Engineering, Univ. of Tehran, Karaj, 31587-77871 Tehran, Iran (corresponding author). E-mail: [email protected]
Hugo A. Loáiciga, Ph.D., F.ASCE [email protected]
P.E.
Professor, Dept. of Geography, Univ. of California, Santa Barbara, CA 93016-4060. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share