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Towards a model for road runoff infiltration management

npj Clean Water 2021 8 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.
Loïc Maurer, Julie Zumsteg, Carole Lutz, Carole Lutz, Marie Pierre Ottermatte, Marie Pierre Ottermatte, Adrien Wanko, Dimitri Heintz, Claire Villette

Summary

Researchers analyzed over 2,400 chemical micropollutants in stormwater runoff from roads, tracking how well infiltration ponds — engineered soil systems — trapped these contaminants before they reached groundwater. Sand in the infiltration pond retained 86% of micropollutant abundance, and the study proposes a practical model linking soil properties to pollutant trapping efficiency.

Abstract In human society, there is a demand for sustainable solutions for water preservation and efficient treatment systems. An important water reservoir is road runoff defined as rainwater leaching from roads, loading micropollutants and infiltrating the soil. We aimed to study this poorly understood feature using large-scale metabolomic analysis coupled with analysis of soil physico-chemical properties and molecular chemical similarity enrichment. A total of 2406 micropollutants were assayed to understand their distribution and assess the trapping abilities of a road runoff infiltration system composed of a sedimentation pond and an infiltration pond. Here, we confirm the essential role of the infiltration pond in preventing environmental contamination and propose a model correlating micropollutant abundance and the soil physico-chemical properties. We demonstrate that sand in infiltration ponds is a key player, helping retain 86% of the micropollutant abundance and propose a model that could be easily applied for road runoff management.

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