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Rapid risk screening at the county and city level, adaptation frameworks, and practical reference cases are provided and can serve as a reference for local governments in planning and implementing climate change adaptation actions.

Risk Quick Check 2-6 Framework Case Studies
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RQC Form Print
This module presents research test results on climate risk and adaptation and is provided solely as reference information for adaptation applications. It must not be used for commercial purposes, development restrictions, legal, or regulatory purposes.
The Taiwan Climate Change Projection Information and Adaptation Knowledge Platform is not responsible for interpretations, applications, or derivative results based on these results.
The quick check form provides simplified analytical results for reference only. For detailed spatial distribution data, please use the reference platform link for each domain.
DomainImpact IndicatorIndicator InfoRQC ResultsMap Portal
Agriculturerice productionloss in rice productionLink
Livestockmilk lossmilk loss relative to baselineLink
Coastalsea level riserise relative to baselineLink
Aquacultureaqua yieldloss in aqua yieldLink
Floodflood prob.flood depth > 0.3mLink
Forestryretreat arearetreat in the futureNALink
Slopelandslide prob.change relative to baseline-Link
Marine Fish.marine yielddecline in catch per unit effortLink
Healthstrokecardiovascular disease-Link
Urban Heathours of discomforthours of physiological discomfortLink
Water Res.total runoffannual runoff reductionNALink

Note 1In the RQC results, "NA" indicates no data, while "-" , "+", "++", and "+++" are used to represent no risk, low risk, medium risk, and high risk, respectively. Print Report

Note 2Risk classification method:
(1) Low risk: normalized indicator value ≤ the 33.3rd percentile.
(2) Medium risk: normalized indicator value > the 33.3rd percentile and ≤ the 66.6th percentile.
(3) High risk: normalized indicator value > the 66.6th percentile.
The normalized indicator value is calculated as:
(Indicator value − minimum value among all townships) / (maximum value among all townships − minimum value among all townships).