1. A NOVEL APPROACH FOR AN SMART
EARLY FLOOD DETECTION AND
AWARENESS SYSTEM USING IOT
By
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2. Objective
To design a system to monitor the flood situation &
send alert in case of emergency using IoT and
Embedded Technology.
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3. Introduction
∙ Flooding is a natural phenomenon which has attracted global
attention as a result of its negative impact on the society.
∙ Many countries are predicted to experience increased flood
occurrences in the coming decade.
∙ The system involves the deployment of sensor nodes at
specific flood vulnerable locations for real-time flood
monitoring and detection.
∙ Flood events relating to flash flooding and run-off water or
overflow are successfully monitored in real time which saves
individuals plenty of time to prepare against predicted flood
occurrence, saving them from the aftermath of flood disaster.
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4. Introduction
∙ India accounts for one-fifth of worldwide passings due to floods according to
WHO. 107,487 individuals were killed due to overwhelming floods in India
between 1953 and 2017 according to the CWC. Most deaths(11,316) due to floods
in India were recorded in 1977, whereas the least(37) was recorded in 1953.
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5. Introduction
∙ The major flood inclined districts in India are Punjab,
Haryana, most of the Gangetic fields, counting Uttar Pradesh,
North Bihar and West Bengal, the Brahmaputra valley, coastal
Andhra Pradesh and Orissa, and southern Gujarat. Now-a-days
Kerala and Tamil Nadu too feel the wrath of the floods
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6. Literature Review
Author Title Finding
Elizabeth Basha,
Daniela Rus, 2015
Design of Early Warning
Flood Detection Systems
Use of sensor networks to
find an easily deployable
and scalable system.
Sheikh Azid, Bibhya
Sharma, Abinendra Chand,
Sumeet , A Jacquier, 2015
SMS Based Flood
Monitoring and Early
Warning System
Design of a SMS Based
Flood Monitoring and Early
Warning System and
discusses its
implementation.
Sonali Patil, Jija Pisal,
Aishwarya Patil, Siddhi
Ingavale, Prajakta
Ayarekar, Shagupta Mulla,
2019
A Real Time Solution to
Flood Monitoring System
Using IOT and Wireless
Sensor Networks
Decision making and
evacuation planning during
floods using wireless
sensor networks.
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7. Existing Model & Proposed Model
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EXISTING SYSTEM PROPOSED SYSTEM
> There are no features to know the > Sensor is available to measure the
level changes in river. water level.
> Manually have to monitor. > Monitoring system is done
automatically.
Drawbacks of existing system Advantages of proposed system
> Causes severe damage. > Damage can be reduced.
> Cannot be monitored through > Can be monitored through IoT.
IoT. > At emergency condition, necessary
> Forecasting of flood is not possible. action to be taken because of the early
flood detection.
9. Experimental results and discussion
The 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 to check the rain detection. The
ultrasonic sensor is used to measure the level of water in the river.
The DHT11 sensor is used to measure the surrounding
temperature. The GPS is used to detect the location at where flood
happen. The location is shared by the message using GSM. All
the data are updated to cloud so that the system can be monitor by
IoT.
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10. EXPERIMENTAL RESULTS
Figures 1 &2 show the Flood Alert, the
coordinates, and the message saying that the
SMS was sent on the LCD Monitor respectively.
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http://www.iotclouddata.tech/279/index.html
11. Conclusion
This work enlightens the possibility to provide an alert system to
overcome the flood risk. It can also contribute to the authority or
company such as firefighter or any government state agency that
can help the society about the flooding or any natural disaster.
Especially during Riverine Floods and in the flood prone zones.
The proposed system is able to send an alert message to the
mobile with the geographical coordinates. It has been executed in
a controlled environment
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12. FUTURE SCOPE OF IMPLEMENTATION
Our Future goal is to implement the Flood alert system in real
time by adding a few other sensors for more accurate detection
such as a pressure sensor and also a camera. The working model
is to be fixed on a one more dam or along the riverbanks. Also
The information that's shown in our website can be implemented
as a smartphone application so that the public within the flood
prone zones can be alerted using a notification.
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13. References
1. M. A. Bari, L. Alam, M. M. Alam, L. F. Rahman and J. J. Pereira, "Estimation of
losses and damages caused by flash floods in the commercial area of Kajang
Selangor Malaysia", Arab. J. Geosci, vol. 14, no. 3, pp. 1-9, Feb. 2021.
2. Elizabeth Basha, Daniela Rus, “DESIGN OF EARLY WARNING FLOOD DETECTION
SYSTEMS FOR DEVELOPING COUNTRIES” ,2015
3. Sheikh Azid, Bibhya Sharma, Krishna Raghuwaiya, Abinendra Chand, Sumeet Prasad, A
Jacquier “SMS BASED FLOOD MONITORING AND EARLY WARNING SYSTEM”,
2015
4. Sonali Patil, Jija Pisal, Aishwarya Patil, Siddhi Ingavale, Prajakta Ayarekar, Prof. Mrs.
Shagupta Mulla, “A REAL TIME SOLUTION TO FLOOD MONITORING SYSTEM
USING IOT AND WIRELESS SENSOR NETWORKS”, 2019
5. B. T. Pham et al., "GIS Based Hybrid Computational Approaches for Flash Flood
Susceptibility Assessment", Water, vol. 12, no. 3, pp. 683, Mar. 2020.
6. Z. Zhou, S. Liu, G. Zhong and Y. Cai, "Flood Disaster and Flood Control
Measurements in Shanghai", Nat. Hazards Rev, vol. 18, no. 1, pp. B5016001, Feb.
2017.
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