Success Case: Flood Detection Sensors Help Prevent Disaster at Algés Train Station

Context: Algés train station, located in a coastal area, is particularly vulnerable to flooding due to its proximity to the river and the impact of high tides. During high tide, river water can flow back into the drainage system, increasing the risk of flooding at the station's lowest point.

Challenge: The primary challenge was to detect rising water levels early enough to prevent flooding in the underground areas of Algés train station. Given the station's susceptibility to backflow during high tides, a rapid response was crucial to avoid disruption, property damage, and safety risks for passengers and staff. On 03/09/23 a heavy rainfall event caused a rise in water levels that flooded the train station.

Solution: A flood detection sensor is strategically placed at the lowest point of the station to monitor real-time water levels. Additionally, sensors were installed upstream in the underground pipeline to monitor water flow and anticipate potential flooding.

Results:

• At 19:04, the flood detection sensor detected a rise in the water level and immediately transmitted an alert under 10 seconds.

• Early detection allowed authorities to activate pumps within 10 minutes and start extracting water from the underground passage.

• The rapid response prevented potential disasters, avoiding disruption and damage, allowing for the station to resume operation in under 60 minutes.

• The system facilitated the implementation of preventive and effective measures to strengthen long-term resilience against climate risks.

  
  

This success case illustrates how our flood detection system enables authorities to act swiftly and effectively, preventing floods and minimizing risks in vulnerable areas like train stations, squares, underground parking lots or road tunnels.