Flood Risk Alerts

Problem

In many urban areas, the lack of real-time monitoring of flood conditions increases the risk of unexpected flooding. These floods can cause severe damage to urban infrastructure, affect citizens' lives, and result in high repair costs and economic losses.

Without an efficient early warning system, local governments struggle to implement preventive measures in time, such as closing flooded streets, diverting urban traffic, and alerting the population through mobile notifications.

Solution

The implementation of sensors to monitor flow at strategic points (such as rivers, storm drains, and low-lying areas) allows for the collection of real-time data on weather conditions, water levels, and soil saturation.

The data is analyzed using algorithms to identify patterns and predict the likelihood of floods in specific areas. Additionally, an alert system is incorporated to notify local governments about the potential for flooding. This provides guidance on actions to take in critical situations, such as evacuations, road closures, or activation of emergency plans.

Impact

• Risk Reduction: Early detection will allow local governments to make informed decisions to avoid or minimize flood damage.

• Improved Urban Management: The data provided by the sensors will enable more efficient planning of infrastructure and resources, anticipating vulnerable areas.

• Citizen Safety: By providing sufficient advance notice, the safety of residents will be ensured, preventing loss of life and reducing panic during unexpected events.

• Resource Efficiency: Specific recommendations will allow for more effective resource allocation during emergency events, reducing waste and improving the response of emergency services.