Source water protection and wildfire threats: A simplified vulnerability assessment framework for drinking water intakes
水源保護と山火事の脅威:飲用水取水口のための簡易脆弱性評価フレームワーク (AI 翻訳)
E. Pouliot, F. Bichai, Raja Kammoun, Sarah Dorner
🤖 gxceed AI 要約
日本語
本論文は、山火事後の飲用水取水口の脆弱性を評価するための簡易フレームワークを提示する。森林被覆、流出ポテンシャル、気候変動下の火災レジームと降雨量を考慮し、脆弱性指数を計算する。結果は森林被覆と流出ポテンシャルが支配的な変数であり、気候変動による降雨予測が汚染を増幅することを示す。このフレームワークは、データ利用可能性に応じて適用可能で、水道事業者の適応計画を支援する。
English
This paper presents a simplified framework for assessing the vulnerability of drinking water intakes to post-wildfire contamination. It calculates a vulnerability index using forest cover, runoff potential, fire regime under climate change, and rainfall projections. Results show forest cover and runoff are dominant, with climate change amplifying contamination risks. The framework supports adaptation planning for water utilities with readily available data.
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
日本でも気候変動による山火事リスクが高まる中、水源保護の脆弱性評価は重要性を増す。このフレームワークは日本の森林流域での適用可能性があり、水処理施設の強靭化に寄与し得る。
In the global GX context
Climate change is increasing wildfire threats globally, posing risks to drinking water supplies. This framework provides a practical, data-driven tool for water utilities to prioritize sub-watershed protection and develop adaptation strategies.
👥 読者別の含意
🔬研究者:Provides a reproducible vulnerability assessment method for post-wildfire water contamination, applicable across diverse regions.
🏢実務担当者:Water utility managers can use this framework to prioritize sub-watersheds for protection and integrate climate adaptation into long-term planning.
🏛政策担当者:Supports development of targeted land use regulations and emergency response strategies for drinking water safety under climate change.
📄 Abstract(原文)
Post-wildfire contamination poses a serious threat to drinking water in forested watersheds, with implications for long-term resilience of drinking water treatment plants. Infrastructure such as pumping equipment and transportation piping systems can also be exposed to wildfire-related impacts. Wildfires significantly alter water quality by increasing sediment loads, dissolved organic carbon, nutrients, and heavy metals. Fire suppression efforts further introduce contaminants, such as per- and polyfluoroalkyl substances, which persist in the environment and pose long-term risks to drinking water safety. This study presents a broadly applicable framework to assess the vulnerability of drinking water intake to the post-wildfire runoff and erosion response. It is designed for use across diverse geographic and environmental contexts, draws on readily available data, incorporates key post-wildfire runoff and erosion parameters, and accounts for climate change to address future contamination threats to water supplies. The framework calculates a vulnerability index incorporating information about forest cover, runoff potential, fire regime under climate change, and rainfall under climate change. The index is further refined accounting for drinking water intake exposure. Its design enables prioritization of sub-watersheds despite data availability while remaining adaptable to more refined datasets when available. The results indicate that forest cover and runoff potential are the dominant variables influencing final index scores, while rainfall projections under climate change amplify post-wildfire water contamination. Although wildfire threats driven by climate change continue to increase, drinking water managers often fail to integrate potential climate-driven hazards to surface water supply into their long-term adaptation strategies. Ensuring drinking water treatment plant resilience will require both adaptable assessment tools and scalable protection planning. In response, this framework supports informed decision-making to enforce targeted land use regulations, and develop emergency response strategies. These measures help mitigate post-wildfire impacts on drinking water intakes and support infrastructure adaptation accordingly.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1371/journal.pwat.0000491first seen 2026-06-29 09:04:29
🔔 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。