A new bivariate risk classifier for flood management considering hazard and socio-economic dimensions. (1st February 2020)

• Record Type: Journal Article
• Authors: Mohanty, Mohit Prakash; H, Vittal; Yadav, Vinay; Ghosh, Subimal; Rao, Goru Srinivasa; Karmakar, Subhankar
• Is Part Of: Journal of environmental management. Volume 255(2020)
• Publication Date: 2020-02-01
• Subjects: Choropleth -- Decadal change -- Environmental planning and management -- Flood risk -- Hazard -- Socio-economic vulnerability; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2019.109733
• Languages: English
• ISSNs: 0301-4797

Abstract

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. Graphical abstract: Image 1 Highlights: A new Risk Classifier to quantify flood risk at the finest administrative scale. Flood hazard is obtained through robust hydrodynamic flood model simulations. Socio-economic vulnerability is derived through a robust indicator based DEA method . Risk classifier identifies marginal and compound impact of hazard and vulnerability. Improved risk identification shells out focused flood-management strategies.