Integrated Flood Risk Mapping and Hazard-Vulnerability Assessment for Mitigation Prioritization in Sumatra
スマトラにおける統合的洪水リスクマッピングとハザード・脆弱性評価による緩和優先順位付け (AI 翻訳)
H. A. Nugraha, M. A. H. Pratama, Muhammad Alsamtu Tita Sabila Pratama Suhartono, A. Sakti, K. Wikantika
🤖 gxceed AI 要約
日本語
本研究は、スマトラ島の洪水リスクを評価するために、物理的なハザードと社会経済的な脆弱性を統合したフレームワークを提案する。9つのハザード指標と4つの脆弱性指標を用いて5×5の二変量マトリックスを作成し、高リスク地域を特定した。結果として、中リスクゾーンが被災人口の大部分を占めることが明らかになり、物理的ハザードと脆弱性の相互作用に基づいた段階的な緩和戦略が提示された。
English
This study proposes an integrated geospatial framework combining multi-parameter flood hazard assessment and socio-demographic vulnerability index through a bivariate hazard-vulnerability matrix, applied to the November 2025 floods in Sumatra. Results show that medium-risk zones capture 87.5%-100% of the exposed population across five major cities. The framework enables stratified mitigation strategies, from structural interventions to community-based measures, supporting climate adaptation under the Sendai Framework.
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
本論文はインドネシア・スマトラ島の洪水リスク評価であり、日本のGX（脱炭素）文脈とは直接関連しないが、気候変動適応策の枠組みとして、日本企業の海外事業における気候リスク管理に参考となる可能性がある。
In the global GX context
This paper contributes to global climate adaptation and disaster risk reduction by providing a replicable framework for integrated flood hazard and vulnerability mapping. It supports the Sendai Framework for Disaster Risk Reduction and offers a methodology applicable to other regions facing increasing flood risks due to climate change.
👥 読者別の含意
🔬研究者:The proposed bivariate hazard-vulnerability matrix offers a methodological improvement for flood risk assessment that distinguishes between physical hazard and socio-economic vulnerability.
🏢実務担当者:Local governments can use the spatially explicit risk maps to prioritize mitigation interventions and allocate resources effectively.
🏛政策担当者:The study supports the Sendai Framework targets by providing evidence for risk-informed planning and climate adaptation policies.
📄 Abstract（原文）
Flood risk in tropical regions such as Sumatra is increasing due to intensified rainfall extremes and rapid urbanization. Although flood hazard mapping is widely applied, many studies do not clearly distinguish physical hazard from socio-economic vulnerability, limiting their usefulness for targeted mitigation. This study proposes an integrated geospatial framework combining multi-parameter flood hazard assessment and a socio-demographic vulnerability index through a bivariate hazard–vulnerability matrix to support risk reduction. The framework was applied to the November 2025 flood events in Aceh, North Sumatra, and West Sumatra, using nine hazard parameters and four vulnerability indicators. Results show that High to Very High Hazard zones cover 21% of the study area, in lowland basins, while 12% of the area falls into the Very High-Risk category. Validation using observed damage data shows that medium-risk (Risk 2) zones, rather than only the highest-risk cores, account for 87.5%–100% of the exposed population across five major cities, capturing 97.5% of affected residents in Aceh Tamiang. The proposed 5×5 bivariate matrix separates risk dominated by physical hazard, socio-economic vulnerability, or their interaction This enables stratified mitigation strategies, ranging from integrated structural and social interventions to targeted engineering and community-based measures, while providing spatially explicit guidance to strengthen flood risk management and support Sendai Framework objectives under climate change.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://ejournal.undip.ac.id/index.php/geoplanning/article/download/80998/pdffirst seen 2026-07-03 05:57:39
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。