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Water pollution from food production: lessons for optimistic and optimal solutions

Current Opinion in Environmental Sustainability 2019 24 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 30 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Ang Li, Carolien Kroeze, Taher Kahil, Lin Ma, Maryna Strokal

Summary

Researchers proposed a multi-pollutant framework for assessing water pollution from food production, drawing lessons from how air quality science handles multiple contaminants simultaneously. The study argues that future water quality assessments should better integrate economic and social goals alongside environmental targets, using participatory approaches to develop practical and politically feasible solutions.

Food production is a source of various pollutants in aquatic systems. For example, nutrients are lost from fertilized fields, and pathogens from livestock production. Water pollution may impact society and nature. Large-scale water pollution assessments, however, often focus on single pollutants and not on multiple pollutants simultaneously. This study draws lessons from air pollution control for large-scale water quality assessments, where multi-pollutant approaches are more common. To this end, we present a framework for future water pollution assessments searching for optimistic and optimal solutions. We argue that future studies could shift their focus to better account for societal and economic targets. Participatory approaches can help to ensure the feasibility of future solutions to reduce water pollution from food production.

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