A new bivariate risk classifier for flood management considering hazard and socio-economic dimensions

Mohit Prakash Mohanty, H Vittal, Vinay Yadav, Subimal Ghosh, Goru Srinivasa Rao, Subhankar Karmakar*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Identification of flood-risk dynamics is pivotal for refurbishing the existing and future flood-management options. The present study quantifies the marginal and compound contributions of hazard and vulnerability to flood-risk through an innovative concept of Risk-classifier, designed in the form of a 5 × 5 choropleth. The proposed framework is demonstrated at the finest administrative scale of village-level over Jagatsinghpur district in Mahanadi River basin, Odisha (India) for two-time frames: Scenario-I (1970–2011) and Scenario-II (1970–2001). An increase in high and very high hazard and vulnerable villages is noticed in Scenario-I, the majority of them lying in the coastal stretches (S-E region) and adjoining flood plains of Mahanadi River (N–W region). Scenario-I is characterized by the majority of hazard-driven and compound (both hazard and vulnerability) risk villages, while Scenario II is characterized by a majority of vulnerability driven-risk villages. For the vulnerability-driven risk villages, rigorous enforcement of policies and mitigation schemes are recommended, while for hazard-driven risk villages, enhancement of structural measures and flood-plain zoning should be exercised. Such exhaustive flood-risk information may serve as a valuable cartographic product for the civic authorities and stakeholders and help in prioritizing flood mitigation actions for improved environmental planning and management.
Original languageEnglish
Article number109733
JournalJournal of Environmental Management
Volume255
ISSN0301-4797
DOIs
Publication statusPublished - 2020

Keywords

  • Choropleth
  • Decadal change
  • Environmental planning and management
  • Flood risk
  • Hazard
  • Socio-economic vulnerability

Cite this

Mohanty, Mohit Prakash ; Vittal, H ; Yadav, Vinay ; Ghosh, Subimal ; Rao, Goru Srinivasa ; Karmakar, Subhankar. / A new bivariate risk classifier for flood management considering hazard and socio-economic dimensions. In: Journal of Environmental Management. 2020 ; Vol. 255.
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abstract = "Identification of flood-risk dynamics is pivotal for refurbishing the existing and future flood-management options. The present study quantifies the marginal and compound contributions of hazard and vulnerability to flood-risk through an innovative concept of Risk-classifier, designed in the form of a 5 × 5 choropleth. The proposed framework is demonstrated at the finest administrative scale of village-level over Jagatsinghpur district in Mahanadi River basin, Odisha (India) for two-time frames: Scenario-I (1970–2011) and Scenario-II (1970–2001). An increase in high and very high hazard and vulnerable villages is noticed in Scenario-I, the majority of them lying in the coastal stretches (S-E region) and adjoining flood plains of Mahanadi River (N–W region). Scenario-I is characterized by the majority of hazard-driven and compound (both hazard and vulnerability) risk villages, while Scenario II is characterized by a majority of vulnerability driven-risk villages. For the vulnerability-driven risk villages, rigorous enforcement of policies and mitigation schemes are recommended, while for hazard-driven risk villages, enhancement of structural measures and flood-plain zoning should be exercised. Such exhaustive flood-risk information may serve as a valuable cartographic product for the civic authorities and stakeholders and help in prioritizing flood mitigation actions for improved environmental planning and management.",
keywords = "Choropleth, Decadal change, Environmental planning and management, Flood risk, Hazard, Socio-economic vulnerability",
author = "Mohanty, {Mohit Prakash} and H Vittal and Vinay Yadav and Subimal Ghosh and Rao, {Goru Srinivasa} and Subhankar Karmakar",
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A new bivariate risk classifier for flood management considering hazard and socio-economic dimensions. / Mohanty, Mohit Prakash; Vittal, H; Yadav, Vinay; Ghosh, Subimal; Rao, Goru Srinivasa; Karmakar, Subhankar.

In: Journal of Environmental Management, Vol. 255, 109733, 2020.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - A new bivariate risk classifier for flood management considering hazard and socio-economic dimensions

AU - Mohanty, Mohit Prakash

AU - Vittal, H

AU - Yadav, Vinay

AU - Ghosh, Subimal

AU - Rao, Goru Srinivasa

AU - Karmakar, Subhankar

PY - 2020

Y1 - 2020

N2 - Identification of flood-risk dynamics is pivotal for refurbishing the existing and future flood-management options. The present study quantifies the marginal and compound contributions of hazard and vulnerability to flood-risk through an innovative concept of Risk-classifier, designed in the form of a 5 × 5 choropleth. The proposed framework is demonstrated at the finest administrative scale of village-level over Jagatsinghpur district in Mahanadi River basin, Odisha (India) for two-time frames: Scenario-I (1970–2011) and Scenario-II (1970–2001). An increase in high and very high hazard and vulnerable villages is noticed in Scenario-I, the majority of them lying in the coastal stretches (S-E region) and adjoining flood plains of Mahanadi River (N–W region). Scenario-I is characterized by the majority of hazard-driven and compound (both hazard and vulnerability) risk villages, while Scenario II is characterized by a majority of vulnerability driven-risk villages. For the vulnerability-driven risk villages, rigorous enforcement of policies and mitigation schemes are recommended, while for hazard-driven risk villages, enhancement of structural measures and flood-plain zoning should be exercised. Such exhaustive flood-risk information may serve as a valuable cartographic product for the civic authorities and stakeholders and help in prioritizing flood mitigation actions for improved environmental planning and management.

AB - Identification of flood-risk dynamics is pivotal for refurbishing the existing and future flood-management options. The present study quantifies the marginal and compound contributions of hazard and vulnerability to flood-risk through an innovative concept of Risk-classifier, designed in the form of a 5 × 5 choropleth. The proposed framework is demonstrated at the finest administrative scale of village-level over Jagatsinghpur district in Mahanadi River basin, Odisha (India) for two-time frames: Scenario-I (1970–2011) and Scenario-II (1970–2001). An increase in high and very high hazard and vulnerable villages is noticed in Scenario-I, the majority of them lying in the coastal stretches (S-E region) and adjoining flood plains of Mahanadi River (N–W region). Scenario-I is characterized by the majority of hazard-driven and compound (both hazard and vulnerability) risk villages, while Scenario II is characterized by a majority of vulnerability driven-risk villages. For the vulnerability-driven risk villages, rigorous enforcement of policies and mitigation schemes are recommended, while for hazard-driven risk villages, enhancement of structural measures and flood-plain zoning should be exercised. Such exhaustive flood-risk information may serve as a valuable cartographic product for the civic authorities and stakeholders and help in prioritizing flood mitigation actions for improved environmental planning and management.

KW - Choropleth

KW - Decadal change

KW - Environmental planning and management

KW - Flood risk

KW - Hazard

KW - Socio-economic vulnerability

U2 - 10.1016/j.jenvman.2019.109733

DO - 10.1016/j.jenvman.2019.109733

M3 - Journal article

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ER -