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10.1016_j.envadv.2023.100429.pdf (1.39 MB)

Risk categorization and decision prioritization for climate change impacts: A rapid risk assessment methodology applied in the State of Qatar

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submitted on 2024-02-26, 06:33 and posted on 2024-02-26, 06:34 authored by Logan Cochrane, Reem Al-Hababi

The impacts of climate change vary by location and severity, will be experienced over a range of timescales, and governments are not equally able to respond to risks and hazards in the same way. Yet, despite the rapid expansion of climate-related evidence, few studies categorize risks and hazards to support better-informed decision-making regarding the prioritization of action and investment. This paper develops a risk categorization tool and decision support heuristic, applied to the specific challenges faced in the Gulf Cooperation Council (GCC) region, and specifically in the State of Qatar. Drawing on expert assessment, the results of this study allow decision-makers to compare risks and hazards when making decisions about resource allocation and policy interventions. The results represent a localized categorization of climate risks and a comparative assessment based on three criteria. Standardized global assessments were used to validate the results. While the application of this study is specific to one country, the methodology and assessment approach could be applied in other contexts to enable more evidence-informed decision-making.

Other Information

Published in: Environmental Advances
License: http://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.1016/j.envadv.2023.100429

Funding

Open Access funding provided by the Qatar National Library.

History

Language

  • English

Publisher

Elsevier

Publication Year

  • 2023

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Hamad Bin Khalifa University
  • College of Public Policy - HBKU
  • Qatar University
  • Gulf Studies Center - CAS

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