A Novel Approach for a Smart Early Flood Detection and Awareness System using IoT

Aim:

           Our aim is to develop a model which can be fixed to a dam or on the riverbanks for real-time monitoring of various parameters like Water level, Temperature, Rain, and Humidity for flood management.

Introduction:

          Floods can cause extensive demolition, resulting in loss of human and animal’s life and damages to railway tracks, road transport, personal property and critical open health infrastructure. In between 1998-2021, surges influenced more than 3 billion individuals around the world. Individuals who live in floodplains or non-resistant buildings, or need caution systems and awareness of flooding risks, are most helpless to floods.

            Early detection and alert systems can offer assistance, save a lot of lives, and can be valuable for governmental organizations for issuing flood alerts. With the development of the Internet of Things in recent years, it can offer assistance in conveying information quicker and in turn help us save more lives amid such natural calamities

         Flood cannot stop by human but can be minimized by proper management measures. Till demands for measurement of planning efficiency, implementation and policy making decisions and utilization of modern scientific and communication tools for smooth functioning of the system. Floods are of critical concern in agribusiness, civil engineering, and Health. Human changes to the environment regularly increment the concentration and recurrence of flooding, for illustration to utilize changes such as deforestation and evacuation of wetlands, changes in conduit course such as with levees, and bigger natural catastrophes such as climate change and sea-level rise.

         Frequent immersion of agrarian property and social settlement has disturbing results on the individual human economy, national economy and society. Floods not only destroy crops per each year, they also harm physical infrastructures such as roads, railway tracks, bridges, and human settlements. Millions of individuals are extracted homeless and are also laved down alongside their cattle within the floods increases. Floods make some positive impacts. Each year floods deposit fertile silt over agrarian areas, this is very beneficial for the crops. Floods can have devastating impacts worldwide. They are responsible for 0.1% of the annual deaths caused worldwide. The number of deaths worldwide in recent years Need continuous monitoring system in place and better data and methods to help in real time analysis to predict flood earlier on.

Proposed System:

           In our proposed system, we use several sensors that are used to detect several parameters that may cause floods. The Arduino MEGA micro controller which we are using is the brain of the entire system to operate the modules which are connected with the controller.

          The rain sensor is used for rain detection. It gives output as 0 if there is no rain and 1 when there are raindrops detected. The ultrasonic sensor is used to measure the level of water in the river. The DHT11 sensor is used to measure the surrounding temperature and humidity. The GPS is used to detect the location where floods happen.The location is shared by IoT All the data is updated to the cloud, so that the system can be monitored by IoT. This is done using the Node MCU.. This working module is to be fixed on a dam or along any riverbanks. If implemented accurately, the model can also be fixed atop a drone.