Index-Based Vulnerability Assessment—A Multi-Dimensional Index as a Tool for Capturing the Effects of Nature-Based Solutions for Flood Mitigation
指標に基づく脆弱性評価—洪水緩和のための自然ベースのソリューションの効果を捕捉するための多次元指標 (AI 翻訳)
Jelena Kovačević-Majkić, Nikola Rosic, Dragoljub Štrbac, Vujica Šarenac, Andrijana Todorović
🤖 gxceed AI 要約
日本語
本研究は、自然ベースのソリューション（NbS）の洪水脆弱性への影響を評価する多次元指標M-FLOVIを提案。セルビアのタムナバ川流域で実証し、NbSが脆弱性を低減する効果を定量化。環境脆弱性の指標改善に効果を示す一方、一部のNbSは環境保護目的により脆弱性を増加させる可能性も明示。
English
This study proposes M-FLOVI, a multi-dimensional flood vulnerability index tailored to capture the impacts of nature-based solutions (NbS). Applied in the Tamnava River Basin, Serbia, it quantifies vulnerability reductions from NbS such as afforestation and retention ponds, while noting that floodplain restoration for bird habitat may increase environmental vulnerability.
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
日本でも頻発する豪雨災害の緩和策として、NbSの効果評価手法は重要。本指標の枠組みは、日本の流域管理や防災計画におけるNbS導入の定量的評価に応用可能。
In the global GX context
As nature-based solutions gain traction globally for climate adaptation, this index offers a replicable method for assessing their vulnerability reduction. It provides a structured approach for integrating NbS into flood risk management, relevant for regions facing increasing flood risks from climate change.
👥 読者別の含意
🔬研究者:A systematic framework for quantifying NbS impacts on flood vulnerability, applicable to various geographical contexts.
🏢実務担当者:Guides implementation of NbS by linking specific interventions to vulnerability dimensions, aiding project design and funding.
🏛政策担当者:Supports evidence-based decision-making for integrating NbS into national adaptation plans and disaster risk reduction strategies.
📄 Abstract（原文）
This study presents the Multi-dimensional Flood Vulnerability Index (M-FLOVI), calculated by using an index-based method specifically tailored to capture the impact of nature-based solutions (NbSs) on vulnerability. It aggregates five vulnerability dimensions (physical, economic, environmental, social and institutional) into a single index within a multi-level framework. Each dimension is calculated from a set of indicators that can be computed with moderate data demands. These calculations generally require information about buildings, infrastructure, land cover, population, protected areas and cultural heritage, which can partly be obtained from open-access data. M-FLOVI ranges between 0 and 1, and it can be readily mapped and combined with flood hazard to produce flood risk maps. This paper elaborates a step-by-step M-FLOVI calculation in the Tamnava River Basin, Serbia, where various NbSs were proposed. Under the baseline conditions, most of the study area exhibits either moderate (83.5%) or low vulnerability (15.8%). These NbSs decrease future vulnerability in 6.6 km2 (1.34%) of the study area. Afforestation (0.59%) and retention ponds (0.42%) decrease environmental vulnerability, while flood plain restoration (0.33%), which is expected to create a protected bird habitat, increases environmental vulnerability. These results suggest that M-FLOVI can effectively capture NbSs’ impacts on future vulnerability to floods.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/hydrology13070180first seen 2026-07-09 05:19:00
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