Development of an innovative early warning system to manage bathing conditions in the Seine River in Paris region (2020)

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Development of an innovative early warning system to manage bathing conditions in the Seine River in Paris region

Unesco Second International Conference « Water, Megacities and Global Change » proceeding "Development of an innovative early warning system to manage bathing conditions in the Seine River in Paris region" (2020)

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UNESCO SECOND INTERNATIONAL CONFERENCE: "DEVELOPMENT OF AN INNOVATIVE EARLY WARNING SYSTEM TO MANAGE BATHING CONDITIONS IN THE SEINE RIVER IN PARIS REGION" (2020)

Fluidion presented at the Second International Conference "Water, Megacities and Global Change". The paper focuses on the development of an Early Warning System in Paris for the swimming and the aquatic events of the 2024 Olympic Games.

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Implementing digital solutions for urban water management using smart sensors and IoT

Key points:

 

  • The methodology presented is based on a combination of fluorescent wastewater tracking, rapid microbiological measurements with ALERT technology, and automated sampling with Fluidion's aquatic drone to provide a rapid, accurate and affordable in-situ microbiological assessment of pollution sources on river ecosystems.
  • Phase 1 of the study showed that there is considerable variability in E.coli concentrations in graywater discharged from houseboats. These can vary by a factor of 10⁵. Wastewater shows high concentrations with low variability (within a factor of 10).
  • Phase 2 of the study demonstrated that the methodology employed allows for the rapid identification and accurate measurement of the impact of a discrete pollution event at multiple points in the river.
  • In Phase 3, a total of 182 E.coli measurements were taken over the course of one month, with an average of 6 daily measurements. The data collected showed the positive impact of rainfall events on the increase in E.coli concentrations, and also that the concentrations measured upstream and downstream followed the same trends without significant deviation.
English (United Kingdom)