优化气候危机适应信息:建立和评估一个分类学框架
Do Hyun Seo1, Yunyeong Oh1, Hyungah Jin1
1National Institute of Environmental Research (NIER), Department of Climate Change and Carbon Research, Climate Change Research Division, National Adaptation Center for Climate Crisis, Hwangyeong-ro 42, Seo-gu, Incheon, 22689, South Korea.
Journal of environmental management
|December 30, 2025
概括
一个新的分类学,韩国国家气候适应信息分类学 (KADT),标准化了气候适应数据. 该系统增强了全球气候目标的风险评估和跨境合作.
科学领域:
- 气候科学与适应规划 气候科学与适应规划
- 信息系统和数据管理数据管理
背景情况:
- 缺乏标准化的适应信息系统,阻碍了有效的跨境气候风险响应.
- 现有的框架难以全面分类各种气候影响驱动因素和适应策略.
研究的目的:
- 为了系统地组织适应数据,引入韩国国家气候适应信息分类法 (KADT).
- 加强国家气候风险分类,提高适应规划的效率.
主要方法:
- 开发了一个双向的分类结构,集成了自上而下的政策类别和自下而上的气候影响驱动因素.
- 实施了四个阶段的完整性检查算法和风险组件分类的影响链.
- 通过与英国气候变化风险评估框架和功能点分析的兼容性测试来验证框架.
主要成果:
- 扩大国家气候风险分类从72个到118个详细类别.
- 在使用KADT的风险分析中,实现了47.8-123.2%的运营效率提高.
- 证明了国际适用性和增强的数据集成能力与适应信息的共同标准格式 (CSFAI).
结论:
- KADT为国家和国际气候适应规划提供了标准化,高效的框架.
- 该CSFAI可实现自动化质量保证,并促进基于证据的气候风险决策.
- 这种方法支持加强跨境合作,以实现全球适应目标.
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