![LITERATURE SURVEY
Sr.
No.
Journal Name and Publication Name Title Technology
1 [IEEE][2020] Flash Flood Detection From CYGNSS Data
Using the RUSBoost Algorithm
RUSBoost Algorithm
2 International Conference on Systems,
Signals and Image Processing,
IWSSIP[IEEE][2015]
Advance Flood Detection and Notification
System based on Sensor Technology and
Machine Learning Algorithm
Sensor Technology
and Machine
Learning Algorithm
3 Proceedings of the International
Conference on Intelligent Computing
and Control Systems (ICICCS
2019)[IEEE][2019]
IoT Based Flood Detection and Notification
System using Decision Tree Algorithm
Decision Tree
Algorithm](https://image.slidesharecdn.com/flood-220222174120/85/IoT-based-Flood-detection-system-5-320.jpg)
![Sr. No. Journal Name
and Publication Name
Title Technology
4 IEEE Sensors Journal
[IEEE][2016]
Flash Flood Detection
in Urban Cities Using
Ultrasonic and Infrared
Sensors
Artificial Neural
Network and Wireless
Sensor
5 International Conference on
Sustainable Information
Engineering and Technology
(SIET)[IEEE][2019]
Flooding Level
Classification by Gait
Analysis of Smartphone
Sensor Data
Gait characteristics of
smartphones
6 IEEE 4th Global
Conference on Consumer
Electronics (GCCE)
[IEEE][2015]
Internet of Things (IoT)
Enabled Water
Monitoring System
IOT based flood
detection using
Arduino](https://image.slidesharecdn.com/flood-220222174120/85/IoT-based-Flood-detection-system-6-320.jpg)
IoT based Flood detection system
- 2. INTRODUCTION Flood : a natural disaster Types of flood 1. Flash Floods 2. River Floods 3. Coastal Floods Why Flood detection is necessary? This Photo by Unknown author is licensed under CC BY-SA.
- 3. Motivation An analysis by the DTE- CSE showed that in the last 65 years (1952-2018): There was not a single year when flood didn’t impact the country with significant losses to lives and property. Floods killed 109,412 people in the span. Over 258 million hectares of crops were damaged and 81,187,187 houses were raged. The total economic losses due to crop, house and other property damages came to Rs 4.69 trillion. India suffered a loss of Rs 95,736 crore in 2018 floods. This was 2.6 times more than the financial loss due to floods in 2017.
- 4. OBJECTIVE IoT Based Flood Detection system
- 5. LITERATURE SURVEY Sr. No. Journal Name and Publication Name Title Technology 1 [IEEE][2020] Flash Flood Detection From CYGNSS Data Using the RUSBoost Algorithm RUSBoost Algorithm 2 International Conference on Systems, Signals and Image Processing, IWSSIP[IEEE][2015] Advance Flood Detection and Notification System based on Sensor Technology and Machine Learning Algorithm Sensor Technology and Machine Learning Algorithm 3 Proceedings of the International Conference on Intelligent Computing and Control Systems (ICICCS 2019)[IEEE][2019] IoT Based Flood Detection and Notification System using Decision Tree Algorithm Decision Tree Algorithm
- 6. Sr. No. Journal Name and Publication Name Title Technology 4 IEEE Sensors Journal [IEEE][2016] Flash Flood Detection in Urban Cities Using Ultrasonic and Infrared Sensors Artificial Neural Network and Wireless Sensor 5 International Conference on Sustainable Information Engineering and Technology (SIET)[IEEE][2019] Flooding Level Classification by Gait Analysis of Smartphone Sensor Data Gait characteristics of smartphones 6 IEEE 4th Global Conference on Consumer Electronics (GCCE) [IEEE][2015] Internet of Things (IoT) Enabled Water Monitoring System IOT based flood detection using Arduino
- 7. Methodology The above mentioned papers reveal about the concepts of flood detection in different methodologies. This project proposes the design and development of flood detection and notification system that will detect the flood automatically using sensors. To detect the current level of the flood where the system sensor will be divided into different levels at very stage.
- 8. The collected values are transmitted to cloud through Wi-Fi module from Arduino UNO for data interpretation. The project consists of several sensors which are temperature, humidity, water level ultrasonic sensors. The project also consists of an Arduino controller, a Wi- Fi module, three LED's, an 20x4 LCD screen, a buzzer, and an IOT server-based platform.
- 10. Components Used Arduino UNO Ultrasonic sensor DHT11 Temperature and Humidity Sensor Wi-fi Module Proteus Software Arduino IDE Blynk application
- 11. Parwati (Also Parbati) River – KOTA (RAJASTHAN) • In August 2021, Due to heavy Rainfall River Parbati at Khatoli in Kota district of Rajasthan continues to flow in Extreme Flood Situation. • The situation in the district of Kota is particularly severe after the Parwati river jumped to 207.85 metres on 04 August, beating the previous record high if 207.55 metres set in 1996 and well above the danger mark of 202.0 metres.
- 13. SUGGESTIONS • We can Placed an IoT based Flood detection system on parwati dam . • Authorities always look to store the maximum amount of water in dams during monsoon season , which is then used for irrigation and generation of electricity during summer season. • It is an internationally accepted practice that water level of a dam should be kept below a certain level before onset of the monsoon season. • Using this pratice we can prevent flood. • If there is overflow of water in a dam so there should be a route through which water can dischare without directly going into the villages
- 14. CONCLUSION So, We have built a prototype; the sensors utilized were fundamental in obtaining the required data necessary for monitoring and detecting flood events, and a live feed has also been actualized for end users. The proposed system can later be used to provide solutions to real-life challenges, thereby bringing relief to people in communities ravaged
- 15. REFERENCES Dolly Kumaria , Leena Mahatob , Golden Kumarc , Goutam Kumard , Kumar Abhinab e , Jaydeep Kumarf , Pradip Acharjeeg , Arijit Duttah a-gDepartment of Computer Science & Engineering Chaibasa Engineering College, Jharkhand PEDRAM GHASEMIGOUDARZI , WEIMIN HUANG , OSCAR DE SILVA ,Department of Electrical and Computer Engineering, Memorial University of Newfoundland, St. John’s, NL A1B 3X7, Canada QINGYUN YAN , Department of Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China DESMOND T. POWER ,Centre for Cold Ocean Resources Engineering (C-Core), St. John’s, NL A1B 3X5, Canada Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Ibrahim Olatunji Idowu Applied Computing Research Group, School of Computing and Mathematical Sciences Liverpool John Moores University Byrom Street, L3 3AF, UK.
- 16. REFRENCES M. SHOYEB SAYYAD , POOJA SURVE , NAZIM SHAIKH, MANSI GHARAT Student, Pillai HOC College of Engineering and Technology, Rasayani PRIYA TAMBE Assistant Professor, Pillai HOC College of Engineering and Technology, Rasayani T Andriani , M R Azzam , P A Topan , M Hidayatullah , Department of Electrical Engineering, Faculty of Engineering, Universitas Teknologi Sumbawa, Raya Olat Maras Batu Alang Street, Sumbawa, Nusa Tenggara Barat, 84371, Indonesia. and S Esabella, Department of Informatics, Faculty of Engineering, Universitas Teknologi Sumbawa, Raya Olta Maras Batu Alang Street, Sumbawa, Nusa Tenggara Barat, 84371, Indonesia. M. Chitra, D. Sadhihskumar, R. Aravindh, M. Murali, R.Vaittilingame,Dept. of Computer Applications Perunthalaivar Kamarajar Arts College (Affiliated To Pondicherry University) Kalitheerthalkuppam, Puducherry – 605 107
- 17. Alisson Silva Souzaa , Flavio Luiz dos Santos de Souzaa , Henrique Jose da Silva ´ a aUniversidade de Franca, Av. Dr. Armando Salles Oliveira, 201 - Parque Universit´ario, Franca - SP and 14404-600, Brazil Andre M´arcio de Lima Curvello Centro Universit´ario Salesiano de S˜ao Paulo, Av. Almeida Garret, 267 - Jd. Nossa Senhora Auxiliadora, Campinas - SP and 13087-290, Brazil Thinagaran Perumal, Md Nasir Sulaiman, Universiti Putra Malaysia, Leong.C.Y ,Catrino, Malaysia