Flood vulnerability assessment using data envelopment analysis – the case of Narmada river basin districts in central India
This paper presents a data envelopment analysis (DEA)-based framework for estimating the flood vulnerabilities in river basins. The methodology has been exemplified for the 21 districts of the Narmada river basin in central India. Sensitivity and adaptive capacity indicators have been identified and...
Guardado en:
Autores principales: | , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IWA Publishing
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5e909001f36e473b8872a69411bf1be8 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:5e909001f36e473b8872a69411bf1be8 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:5e909001f36e473b8872a69411bf1be82021-11-05T20:19:53ZFlood vulnerability assessment using data envelopment analysis – the case of Narmada river basin districts in central India1366-70171996-975910.2166/wp.2021.063https://doaj.org/article/5e909001f36e473b8872a69411bf1be82021-10-01T00:00:00Zhttp://wp.iwaponline.com/content/23/5/1089https://doaj.org/toc/1366-7017https://doaj.org/toc/1996-9759This paper presents a data envelopment analysis (DEA)-based framework for estimating the flood vulnerabilities in river basins. The methodology has been exemplified for the 21 districts of the Narmada river basin in central India. Sensitivity and adaptive capacity indicators have been identified and used for the development of the Flood Vulnerability Index (FVI). DEA-based study was employed to assess the Scale Efficiencies and the Returns to Scale and insights drawn from the analysis have been discussed in the context of policy and planning related to reduction of flood vulnerabilities. Cluster analysis has also been deployed to classify districts in terms of flood vulnerabilities. Results from the flood vulnerability assessment model case study indicate that 76% of the districts in the Narmada river basin remain highly vulnerable to flood-risk, while the socio-economic parameters and physical sizes of districts and their resources play a crucial role. HIGHLIGHTS The paper provides a framework for assessment of flood vulnerabilities using the mathematical tool from operations research.; The generic framework is illustrated by a case study from India.;Shefali Dubey PathakMukul KulshresthaMudit KulshreshthaIWA Publishingarticledata envelopment analysisflood vulnerability indexnarmada river basinscale efficienciesreturns to scalepolicy and planningRiver, lake, and water-supply engineering (General)TC401-506ENWater Policy, Vol 23, Iss 5, Pp 1089-1106 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
data envelopment analysis flood vulnerability index narmada river basin scale efficiencies returns to scale policy and planning River, lake, and water-supply engineering (General) TC401-506 |
spellingShingle |
data envelopment analysis flood vulnerability index narmada river basin scale efficiencies returns to scale policy and planning River, lake, and water-supply engineering (General) TC401-506 Shefali Dubey Pathak Mukul Kulshrestha Mudit Kulshreshtha Flood vulnerability assessment using data envelopment analysis – the case of Narmada river basin districts in central India |
description |
This paper presents a data envelopment analysis (DEA)-based framework for estimating the flood vulnerabilities in river basins. The methodology has been exemplified for the 21 districts of the Narmada river basin in central India. Sensitivity and adaptive capacity indicators have been identified and used for the development of the Flood Vulnerability Index (FVI). DEA-based study was employed to assess the Scale Efficiencies and the Returns to Scale and insights drawn from the analysis have been discussed in the context of policy and planning related to reduction of flood vulnerabilities. Cluster analysis has also been deployed to classify districts in terms of flood vulnerabilities. Results from the flood vulnerability assessment model case study indicate that 76% of the districts in the Narmada river basin remain highly vulnerable to flood-risk, while the socio-economic parameters and physical sizes of districts and their resources play a crucial role. HIGHLIGHTS
The paper provides a framework for assessment of flood vulnerabilities using the mathematical tool from operations research.;
The generic framework is illustrated by a case study from India.; |
format |
article |
author |
Shefali Dubey Pathak Mukul Kulshrestha Mudit Kulshreshtha |
author_facet |
Shefali Dubey Pathak Mukul Kulshrestha Mudit Kulshreshtha |
author_sort |
Shefali Dubey Pathak |
title |
Flood vulnerability assessment using data envelopment analysis – the case of Narmada river basin districts in central India |
title_short |
Flood vulnerability assessment using data envelopment analysis – the case of Narmada river basin districts in central India |
title_full |
Flood vulnerability assessment using data envelopment analysis – the case of Narmada river basin districts in central India |
title_fullStr |
Flood vulnerability assessment using data envelopment analysis – the case of Narmada river basin districts in central India |
title_full_unstemmed |
Flood vulnerability assessment using data envelopment analysis – the case of Narmada river basin districts in central India |
title_sort |
flood vulnerability assessment using data envelopment analysis – the case of narmada river basin districts in central india |
publisher |
IWA Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/5e909001f36e473b8872a69411bf1be8 |
work_keys_str_mv |
AT shefalidubeypathak floodvulnerabilityassessmentusingdataenvelopmentanalysisthecaseofnarmadariverbasindistrictsincentralindia AT mukulkulshrestha floodvulnerabilityassessmentusingdataenvelopmentanalysisthecaseofnarmadariverbasindistrictsincentralindia AT muditkulshreshtha floodvulnerabilityassessmentusingdataenvelopmentanalysisthecaseofnarmadariverbasindistrictsincentralindia |
_version_ |
1718444040971616256 |