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

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

doi:10.1016/j.jenvman.2019.109733

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

J Environ Manage. 2020 Feb 1:255:109733. doi: 10.1016/j.jenvman.2019.109733. Epub 2019 Nov 26.

Authors

Mohit Prakash Mohanty¹, Vittal H², Vinay Yadav³, Subimal Ghosh⁴, Goru Srinivasa Rao⁵, Subhankar Karmakar⁶

Affiliations

¹ Environmental Science and Engineering Department, Indian Institute of Technology Bombay, Mumbai, 400076, India.
² Environmental Science and Engineering Department, Indian Institute of Technology Bombay, Mumbai, 400076, India; IIHR-Hydroscience & Engineering, The University of Iowa, Iowa City, IA, 52242-1585, USA.
³ Environmental Science and Engineering Department, Indian Institute of Technology Bombay, Mumbai, 400076, India; Department of Technology, Management and Economics, Division of Sustainability, Technical University of Denmark, 2800, Lyngby, Denmark.
⁴ Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India; Interdisciplinary Program in Climate Studies, Indian Institute of Technology Bombay, Mumbai, 400076, India; Centre for Urban Science and Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India.
⁵ Regional Remote Sensing Centre-East, National Remote Sensing Centre, Indian Space Research Organization (ISRO), Kolkata, 700156, India.
⁶ Environmental Science and Engineering Department, Indian Institute of Technology Bombay, Mumbai, 400076, India; Interdisciplinary Program in Climate Studies, Indian Institute of Technology Bombay, Mumbai, 400076, India; Centre for Urban Science and Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India. Electronic address: skarmakar@iitb.ac.in.

PMID: 31783207
DOI: 10.1016/j.jenvman.2019.109733

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.

MeSH terms

City Planning
Floods*
India
Rivers*
Socioeconomic Factors