International Research Journal of Engineering and Technology (IRJET) Volume: 09 Issue: 05 | May 2022
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e-ISSN: 2395-0056 p-ISSN: 2395-0072
IMPLEMENTATION OF EARLY FLOOD DETECTION AND AVOIDANCE SYSTEM USING LORA K.NAVEENA1, S.POOJA2, C.G.SHREENIDHI3, Ms.A.K.KAVITHA4 123UG
Student, Department of ECE, Sri Ramakrishna Institute of Technology, Tamil Nadu, India, professor, Department of ECE, Sri Ramakrishna Institute of Technology, Tamil Nadu, India ---------------------------------------------------------------------***--------------------------------------------------------------------4Assistant
Abstract –Among the most common impact towards
regularly inundated when high waves breach the dune or dike along the coast. The coastal regions with the fewest defense and the lowest elevations are the hardest hit.
mankind, flooding is the most common natural disaster. Floods are known to cause widespread damage. There are many sophisticated systems widely in practice by the organizations and responsible authorities in monitoring the flood level in flood a high risk area. Most of these devices are very costly to be used and maintained. In the proposed system, the information collected by the sensors such as temperature and humidity, water level, water flow and ultrasonic sensor can be sent to cloud by using IOT device and if threshold values of the environmental conditions increases, the warning message will be sent to responsible authorities and in turn will be intimated to the people living in the flood prone region. Such a system enables both private and government organizations to work on their before the flood situation increases, make an emergency flight and mitigation methods. Key Words: Arduino Microcontroller, Temperature and Humidity sensor, Ultrasonic sensor, Water level sensor, Water flow sensor, Wifi module, GPS Module, LCD
1. INTRODUCTION Flooding is one of the globe’s most common natural disasters. Although we can estimate rainfall or track cyclone paths with great precision using satellite images, having real-time monitored data such as flow, precipitation level, or water level is critical for making smart decisions regarding the actions that must be taken to prevent flooding. Flood damage costs are highly correlated with the amount of warning time provided prior to a flood event, making flood monitoring and forecasting vital to limiting flood damage costs. Different types of Floods are:
Flash floods are rapid-moving waves that engulf everything in their path. They are brought on by strong rain or a quick thawing of the snow. Flash floods typically cover a short region and strike with little to no warning, lasting less than six hours. Large things like as automobiles, rocks, and trees can be moved by the rapid water torrents.
Coastal floods or storms moving towards a coast during high tide cause coastal floods. The area is © 2022, IRJET
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Impact Factor value: 7.529
River floods are defined by progressive riverbank overflows caused by large amounts of water. The region flooded by river floods is controlled by the river's size and the volume of water in river precipitation. Although river floods rarely result in fatalities, they can cause significant financial damage.
Urban flood events when a city's or town's sewage system fails to absorb water from intense rainfall. Flooding can also be caused by a lack of drainage system in a city. Water spills into the street, making driving extremely hazardous. Urban floods can wreak major damage even if the water levels are only a few inches deep.
Pluvial floods occur in flat locations when the land is unable to absorb rainwater, resulting in pools and ponds. Pluvial flooding, which mostly occurs in urban areas, is similar to urban flooding, which mostly occurs in remote regions. Agricultural enterprises and properties in areas prone to pluvial flooding could be severely harmed.
The "Early Flood Detection and Avoidance System" is a smart system that keeps track of a range of variables of natural occurrences in order to predict floods. Natural disasters such as flooding and other natural disasters can be severe, causing property damage and even death. The system identifies floods by analyzing a variety of natural parameters in order to eliminate or mitigate the flood's impacts. The obtained data may be accessed by government officials from anywhere using IoT because the system is Wi-Fi enabled. The system monitors a variety of natural elements, including rainfall, water level, and flow rate, to detect a flood. The system is made up of numerous sensors that collect data on individual characteristics in order to collect data on the natural components described above. Water level and water flow sensors are installed at various sites across the river and dam, collecting data on water level and water flow from the dam and rivers. The occurrence of floods is predicted based on this information. The main purpose of this work is to develop |
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