eprintid: 11736
rev_number: 7
eprint_status: archive
userid: 3170
dir: disk0/00/01/17/36
datestamp: 2021-03-12 03:58:18
lastmod: 2021-03-12 03:58:18
status_changed: 2021-03-12 03:58:18
type: article
metadata_visibility: show
creators_name: Singh, R K
creators_name: Kumar Villuri, V G
creators_name: Pasupuleti, S
creators_name: Nune, R
icrisatcreators_name: Nune, R
affiliation: Department of Civil Engineering, Indian Institute of Technology(ISM), Dhanbad
affiliation: Department of Mining Engineering, Indian Institute of Technology(ISM), Dhanbad
affiliation: Department of Civil Engineering, Indian Institute of Technology(ISM), Dhanbad
affiliation: ICRISAT (Patancheru)
country: India
title: Hydrodynamic modeling for identifying flood vulnerability zones in lower Damodar river of eastern India
ispublished: pub
subjects: F20
divisions: CRPS2
full_text_status: public
keywords: Flood, Hydrodynamic model, MIKE HYDRO RIVER, Damodar river, DHI
note: The fieldwork carried out and high-resolution DEM data procurement
were funded by FRS project (FRS (120)/2017-18/ME) of
Dr. V.V. Govind Kumar, IIT(ISM), Dhanbad. Authors sincerely
acknowledge Damodar Valley Corporation Maithon, Central Water
Commission (CWC), Irrigation and Waterways Directorate, Government
of West Bengal for providing the essential data for the study
and technical support received from faculty of IIT(ISM) Dhanbad
and DHI India regarding MIKE HYDRO RIVER hydrodynamic model.
abstract: The identification of flood vulnerability zone is very essential to minimize the damage associated with
the flood. The present study adopted the Hydrodynamic modeling technique for the identification of flood
vulnerability zones in lower Damodar river of eastern India. Preprocessing of data and preparation of various
input geometry data (river network, bank line) for the hydrodynamic model were done in an ArcGIS
environment with the help of high resolution satellite imagery and field survey. Model was calibrated for
the Manning’s coefficient of roughness (n) and validated with ground data and field photographs highresolution,
the efficiency of the model was estimated by the index of agreement ‘‘d” which clearly shows
good agreement between model data and observed data. Based on the model output flooding hotspots
were demarcated. It was observed that areas downstream to the bifurcation point of the Damodar river
are more vulnerable to flooding.
date: 2020-03
date_type: published
publication: Ain Shams Engineering Journal (TSI)
volume: 11
number: 4
publisher: Elsevier
pagerange: 1035-1046
id_number: doi:10.1016/j.asej.2020.01.011
refereed: TRUE
issn: 2090-4479
official_url: https://doi.org/10.1016/j.asej.2020.01.011
related_url_url: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=10.1016%2Fj.asej.2020.01.011&btnG=
related_url_type: pub
citation:   Singh, R K and Kumar Villuri, V G and Pasupuleti, S and Nune, R  (2020) Hydrodynamic modeling for identifying flood vulnerability zones in lower Damodar river of eastern India.  Ain Shams Engineering Journal (TSI), 11 (4).  pp. 1035-1046.  ISSN 2090-4479     
document_url: http://oar.icrisat.org/11736/1/main.pdf