Next Article in Journal
Achieving Food Security in a Climate Change Environment: Considerations for Environmental Kuznets Curve Use in the South African Agricultural Sector
Previous Article in Journal
Perception of Wind in Open Spaces
Open AccessArticle

Determining the Most Sensitive Socioeconomic Parameters for Quantitative Risk Assessment

1
Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh
2
Institute of Water and Flood Management, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh
3
Department of Electrical and Electronic Engineering, Green University of Bangladesh, Begum Rokeya Sarani, Dhaka -1207, Bangladesh
*
Author to whom correspondence should be addressed.
Climate 2019, 7(9), 107; https://doi.org/10.3390/cli7090107
Received: 12 June 2019 / Revised: 2 August 2019 / Accepted: 14 August 2019 / Published: 3 September 2019
Risk assessment of climatic events and climate change is a globally challenging issue. For risk as well as vulnerability assessment, there can be a large number of socioeconomic indicators, from which it is difficult to identify the most sensitive ones. Many researchers have studied risk and vulnerability assessment through specific set of indicators. The set of selected indicators varies from expert to expert, which inherently results in a biased output. To avoid biased results in this study, the most sensitive indicators are selected through sensitivity analysis performed by applying a non-linear programming system, which is solved by Karush-Kuhn-Tucker conditions. Here, risk is assessed as a function of exposure, hazard, and vulnerability, which is defined in the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5), where, exposure and vulnerability are described via socioeconomic indicators. The Kolmogorov-Smirnov statistical test is applied to select the set of indicators that are the most sensitive for the system to assess risk. The method is applied to the Bangladesh coast to determine the most sensitive socioeconomic indicators in addition to assessing different climatic and climate change hazard risks. The methodology developed in this study can be a useful tool for risk-based planning. View Full-Text
Keywords: risk assessment; socioeconomic indicators; sensitivity analysis; non-linear programming; Kolmogorov-Smirnov test risk assessment; socioeconomic indicators; sensitivity analysis; non-linear programming; Kolmogorov-Smirnov test
Show Figures

Graphical abstract

MDPI and ACS Style

Akter, M.; Kabir, R.; Karim, D.S.; Haque, A.; Rahman, M.; Haq, M.A.; Jahan, M.; Asik, T.Z. Determining the Most Sensitive Socioeconomic Parameters for Quantitative Risk Assessment. Climate 2019, 7, 107.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop