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Environmental sustainability of a biochar integrated nature-based solution in Finland: A comparative LCA with a rain garden and a sand filter

フィンランドにおけるバイオ炭統合型自然ベースソリューションの環境持続可能性:レインガーデンとサンドフィルターとの比較LCA (AI 翻訳)

Ishika Weerawardhana, Mariia Zhaurova, Mari Hupponen, Mika Horttanainen

Journal of Environmental Management📚 査読済 / ジャーナル2026-06-18#その他Origin: EU
DOI: 10.1016/j.jenvman.2026.130133
原典: https://doi.org/10.1016/j.jenvman.2026.130133

🤖 gxceed AI 要約

日本語

本研究は、フィンランドで実施されたバイオ炭統合型自然ベースソリューション(NBS)の環境持続可能性を、レインガーデン(RG)およびサンドフィルター(SF)と比較したライフサイクルアセスメント(LCA)を用いて評価した。結果、処理システムは水処理の便益をもたらす一方、インフラ関連の影響を引き起こすことが示された。特にNBSとRGは水処理効果が高いが、建設段階での環境負荷が大きく、SFは地球温暖化等のカテゴリーで最大90%低い影響を示した。処理性能は流入濃度に依存するため、サイト固有の水質データの重要性が強調された。

English

This study conducts a comparative cradle-to-grave LCA of a biochar integrated nature-based solution (NBS) in Finland, comparing it with a rain garden (RG) and a sand filter (SF). The results show that while all treatment systems provide water treatment benefits, they also cause infrastructure-related impacts. NBS and RG offer higher water treatment benefits but have larger construction-phase impacts, whereas SF shows up to 90% lower impacts in categories like global warming. The study highlights the sensitivity of stormwater impacts to influent concentrations and treatment performance.

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

This paper provides LCA evidence for biochar-integrated NBS, which is relevant to Japan's increasing interest in nature-based solutions for climate adaptation and stormwater management. However, the Finnish context may differ from Japan's precipitation patterns and existing drainage infrastructure.

In the global GX context

This study contributes to the global discourse on the environmental trade-offs of nature-based solutions in urban water management. It demonstrates that while NBS can offer water quality benefits, the construction-phase impacts may offset some of these gains, which is important for designers and policymakers considering LCA in green infrastructure planning.

👥 読者別の含意

🔬研究者:LCA practitioners and environmental engineers can use this comparative framework and the sensitivity analysis to inform future assessments of stormwater treatment systems.

🏢実務担当者:Urban planners and water utility managers should consider the full life-cycle impacts when choosing between NBS and conventional sand filters.

📄 Abstract(原文)

Biochar based stormwater filters are gaining popularity worldwide due to their high effectiveness in removing pollutants. However, the comprehensive evaluation of the environmental impacts of these novel approaches is limited, leaving an unclear picture of their overall environmental sustainability. This study aims to address this gap by conducting a comparative, cradle-to-grave life cycle assessment (LCA) to evaluate a biochar integrated nature-based solution (NBS) implemented in Finland. The analysis includes comparisons with two hypothetical systems: a rain garden (RG) and a sand filter (SF), along with a baseline (BL) scenario representing no-treatment. When comparing the impacts of treatment systems with the BL, a clear burden shift can be identified among the eleven impact categories evaluated in this study. The treatment systems offer water treatment benefits during the operational phase across the categories of freshwater and marine eutrophication, freshwater and marine ecotoxicity, and human toxicity (non-cancer). While NBS and RG provide the most significant water treatment benefits compared to SF, they also cause the most substantial infrastructure-related impacts. In contrast, SF demonstrates up to 90% lower impacts across categories, including global warming, human toxicity (cancer), terrestrial acidification and ecotoxicity, fossil depletion, and land use. In all treatment systems, the construction phase contributes the most to life-cycle impacts (50–100%) in these categories. The results further show that stormwater-specific impacts are highly sensitive to influent concentrations and treatment performance, highlighting the importance of considering site-specific water quality data when evaluating the benefits of water treatment.

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