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Revisiting the challenges of ozone depletion in life cycle assessment

Cleaner Environmental Systems 2024 16 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 50 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Anne van den Oever, Anne van den Oever, Stefano Puricelli, Nils Thonemann, Stefano Puricelli, Daniele Costa, Nils Thonemann, Daniele Costa, Nils Thonemann, Nils Thonemann, Nils Thonemann, Nils Thonemann, Nils Thonemann, Maeva Lavigne Philippot, Maeva Lavigne Philippot, Maarten Messagie Maarten Messagie

Summary

Researchers reviewed 15 environmental assessment methods for measuring the harm caused by ozone depletion and found that most are outdated and incomplete. Better methods are urgently needed, especially as climate change and UV radiation increasingly interact to affect human health, food supplies, and water quality.

Recent works have highlighted the interconnected impacts of stratospheric ozone depletion, ultraviolet (UV) radiation, and climate change on various sectors, including water quality, agriculture, human health, and biodiversity. Increased UV-B exposure has diverse environmental impacts, including potential benefits like enhanced plant resistance and reduced vitamin D deficiency. However, the quantification of these effects remains incomplete. Life Cycle Assessment (LCA) serves to quantify the environmental impacts of product systems. This article revisits challenges related to ozone depletion in LCA by reviewing 15 Life Cycle Impact Assessment (LCIA) methods. It is shown that the currently available LCA ozone depletion practices are outdated. The combined effects of outdated background databases and incomplete impact assessment methods must be further investigated. Collaboration with atmospheric scientists and expansion of substances covered by characterization models are required. The study emphasizes the need to address interlinkages between impact categories and recommends climate scenario-dependent characterization for robust decision-making in an uncertain world.

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