122
Views
3
CrossRef citations to date
0
Altmetric
Articles

An approach for prediction of flood hydrograph at outlet of an ungauged basin using modified dynamic wave model

ORCID Icon &
Pages 357-367 | Received 15 Jul 2020, Accepted 07 Mar 2021, Published online: 23 Mar 2021
 

ABSTRACT

Floods are the most disastrous natural hazards, but the prediction of flood hydrographs is hindered due to the lack of Hydro-meteorological data. This paper presents an approach for flood routing of the ungauged basin using rainfall-runoff and Dynamic wave models. Specifically, the SCS-CN rainfall-runoff model is employed to obtain the inflow and lateral inflow hydrographs of the ungauged sub-basins, and a Modified Dynamic Wave Model is employed to anticipate the flood hydrograph at the outlet of the ungauged basins. The Modified Dynamic Wave Model for the parabolic channel (MDWMP) has been numerically solved using an implicit finite difference scheme considering both continuity and momentum equations. The method is tested in hypothetically considered ungauged Kulsi River Basin, a mountainous basin in Northeastern India, and the results obtained are compared with the observed data at the outlet of the Kulsi Basin. The approach is validated by considering four parameters RMSE, Peak flow Error, Peak time Error, and Total Volume Error. A high degree of affinity (i.e. peak flow error below 6%) was observed between the predicted outflow hydrograph and the observed hydrograph, which verified the satisfactory applicability of the developed approach to anticipate the flood hydrograph of an ungauged basin.

Acknowledgments

The authors are thankful to the faculty members of the Civil Engineering Department, Assam Engineering College, Guwahati, Assam. The authors also thank the National Institute of Hydrology (NIH, Guwahati) and Indian Meteorological Department (IMD, Guwahati) for providing necessary information and data.

Declarations

Funding: Not applicable.

Conflicts of interest: On behalf of all authors, the corresponding author states that there is no conflict of interest.

Availability of data and material: Not applicable.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 173.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.