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СИСТЕМНИЙ ПІДХІД ДО ОЦІНКИ ТА УПРАВЛІННЯ РИЗИКАМИ КЛІМАТИЧНОЇ ЗМІНИ

気候変動リスクの評価と管理へのシステム的アプローチ (AI 翻訳)

М. В. Руда, Алла Шибанова, Микола Козак

Herald of Khmelnytskyi National University. Technical sciences📚 査読済 / ジャーナル2026-01-29#気候リスク対象セクター: cross_sector
DOI: 10.31891/2307-5732-2026-361-29
原典: https://doi.org/10.31891/2307-5732-2026-361-29

🤖 gxceed AI 要約

日本語

本論文は、気候変動リスクの包括的評価・管理のためのシステム的アプローチを提案する。農業・エネルギー・交通セクターへの影響を考慮し、生態系・社会経済・空間的要因を統合した方法論を開発する。ウクライナの持続可能な発展を文脈とし、適応と回復力の戦略を支援する。

English

This paper proposes a systemic approach for comprehensive climate risk assessment and management, considering impacts on agriculture, energy, and transit infrastructure. It develops a methodology integrating ecosystem, socio-economic, and spatial factors, set in the context of Ukraine's sustainable development. The framework supports adaptation and resilience strategies.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

本論文はウクライナを対象としており、日本への直接的な示唆は限定的。しかし、システム的リスク評価の概念は、日本の気候変動適応計画や地域レジリエンス強化に応用可能な視点を提供する。

In the global GX context

This paper presents a systemic risk assessment framework that integrates physical, socio-economic, and institutional dimensions. While focused on Ukraine, the methodology is globally applicable for climate adaptation planning and resilience building, complementing TCFD/ISSB risk disclosure practices.

👥 読者別の含意

🔬研究者:Provides a conceptual framework for integrated climate risk assessment that can inform further empirical work and model development.

🏢実務担当者:Offers a structured approach for assessing climate risks across sectors, useful for adaptation planning but lacks specific tools or case studies.

🏛政策担当者:Supports national adaptation policy design by emphasizing systemic interdependencies and cross-border risks.

📄 Abstract(原文)

Climate change affects the agricultural sector, energy systems, and transit infrastructure, leading to both domestic and transboundary consequences. Therefore, risk assessment and management should be based on a systemic approach that takes into account global interdependencies, the cross-border nature of climate threats, and the need for regional cooperation to enhance the resilience of socio-ecological systems. The aim of this study is to develop a scientifically grounded methodology for comprehensive assessment and management of climate risks, considering ecosystem, socio-economic, and spatial factors in the context of Ukraine’s sustainable development. Based on the analysis of modern theoretical and methodological approaches to climate risk assessment and management, it has been established that the international scientific community has shifted from the concept of isolated analysis of individual hazards to integrated approaches that combine physical, socio-economic, and institutional dimensions of risk. This creates a foundation for policies aimed at climate adaptation and sustainable development. In the process of Comprehensive Risk Assessment (CRA), both current and potential future states of systems are analyzed, enabling decision-making that accounts for environmental dynamics and possible development scenarios. A clear definition of objectives, criteria, and values against which the risk is assessed forms the foundation for planning measures aimed at risk reduction and enhancing system resilience. The proposed comprehensive perspective on climate change risk encompasses the full spectrum of climate-related hazards and considers their interaction with non-climatic threats. Risk is viewed as a multidimensional phenomenon shaped by cascading processes and nonlinear interconnections among subsystems. Such a scientific approach forms the methodological basis for developing adaptation and recovery strategies oriented toward resilience, inclusiveness, and equity, while also providing a foundation for the further integration of innovative tools into national climate policy and environmental governance practices.  

🔗 Provenance — このレコードを発見したソース

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。