Predicting floods with ‘Early Flood Warning System’ (Valsad successfully implements it!)

Floods

Predicting floods isn’t easy. This year itself, following heavy rain in July 2017, 224 deaths were reported due to severe flooding in Gujarat. To tackle this, Valsad, a small city in the State of Gujarat, has implemented an Early Flood Warning System (EFWS) to predict flood-like situation and make people and officers act on time. During the day time, the system will alert citizens via SMS, and via pre-recorded phone calls during the night. Interestingly, this is the first-of-its-kind system executed in the State by Council’s associate partner Responscity Systems, and the Valsad district has been already benefitted from this system twice.

EFWS is an early flood warning system, which uses Internet of Things (IoT) sensors on the upstream location of the rivers and can give real-time information and alerts of a possible flood to the villages or towns downstream, thereby reducing majorly on the loss of life and property.

Speaking exclusively to Council, CR Kharsan, District Collector, Valsad, says, “With the success in averting any damage to the citizens of Valsad twice, this kind of project must be implemented across Gujarat.”

He further added, with EFWS system in place, district administration can now alert citizen 90 minutes prior to any flood-like situation. He cited a recent example wherein how the district authority alerted the citizens giving early warning when a river in the district reached its limit, allowing citizens to evacuate in time, averting any damage.

How it works
Developed by Responscity Systems, the concept has created a cloud based platform for disaster-related applications like Early Flood Alert System and Storm Warning System. This system takes real-time information about water level, rainfall and ocean-tide and process that data to generate useful information and alerts to prevent loss of life and assets.

The main intention of this system is to alert citizens and officers in villages and towns about possible disaster and give them needed reliable information to act appropriately in time. Since the entire system is a IoT-based alert system, it works automatically at remote locations to reduce manual intervention and dependency.

Scope

  • Identify and record villages/towns, which can get flooded due to increase in water level of rivers
  • Create GPS-based location ID (EasyCity Codes) for each venerable villages/towns and their important sites such as Gram Panchayat, Anganwadi, schools, etc. i.e. roughly 450 villages
  • Record and assign concern persons and get their contact details for each location
  • Co-relate level of threat to villages/towns by level of water in different rivers Create dashboard and control panel to monitor situations at a District Level
  • Provide communication tool to send SMS or pre-recorded phone calls to alert officers/citizens and provide information
  • Install IoT-based hooters at venerable locations to alert citizens by loud sirens
  • Install IoT-based sonar river gauge to measure real-time water level of river at upstream location
  • Install IoT-based rain guages in catchment area to monitor rainfall on a real time basis