Determining the most sensitive socioeconomic parameters for quantitative risk assessment
Date
2019
Journal Title
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Publisher
MDPI
Abstract
Risk is assessed as a function of exposure, hazard, and vulnerability, defined in the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5), where exposure and vulnerability are described through socioeconomic indicators. Indicators are selected through sensitivity analysis performed by applying a non-linear programming system, which is solved by Karush-Kuhn-Tucker conditions. In this article, the Kolmogorov-Smirnov statistical test is applied to select the set of indicators that are the most sensitive for the system to assess risk, and then applied to the case of the Bangladesh coast to determine the most sensitive socioeconomic indicators.
Description
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Journal Article (peer-reviewed)
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Keywords
INDICATORS, CLIMATE MODELLING, IPCC, CLIMATE CHANGE VULNERABILITY, COASTAL AREAS, SOCIO-ECONOMIC INDICATORS, RISK ASSESSMENT, BANGLADESH, SOUTH ASIA