High-Level Project Summary
From Flood Forecasting and Warning Centre we can only get the forecast of the water level after 24 hours. But when the water level of a river starts to increase it is more important to predict the water level within 24 hours. Hence, we planned of a device which will predict the time when the water level will go beyond the danger-limit so that people can take enough steps to reduce their own loss before flood begins.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
A few months ago, Sylhet and Shunamganj were hit by the worst floods in the country history. In addition to financial loss, people’s lives and property have been greatly damaged. One of the many reasons why people suffer from terrible damage is lack of understanding of the dangers of flooding. As for the flood forecast, even though the flood forecasting center gives a few days advance warning, the floods in Sylhet and Shunamganj become severe within 24 hours. So, we identified the problem of not being able to predict the flood situation within 24 hours as our project.
Our Solution
We have planned a device called WLI [ water-level indicator] which basically will work in 3 ways. Data Store, data calculate, data send. It will store the data of water height and time and will send it to the forecast center. On the other hand, for the calculation, we used Arithmetic Series to predict the next time when it will touch the next sensor.
How we will predict?
In arithmetic series, if we know the value of 3 numbers suppose 1+3+5, then with an arithmetic formula, we can easily predict what will be the 4th number. In the same way, if we have the data like:
Sensor 1 touched= 1:00PM.
sensor 2 touched= 1:05PM,
sensor 3 touched= 1:09PM
then we can easily predict when water will touch sensor 4,5,6,7 etc.
How does WLI work?
WLI will store the data of water height and sensor touching time and will send it to the respective flood forecasting center. But from sensor touching time’s data, it will predict, when the next sensor will be touched. And after doing calculation, it will send the signal to the connected lights and siren.
lights and siren will help people to understand the flood situation in next 24 hours according the data collected from sensors . When, the water will touch a particular sensor, the respective light will turn red. And, as the water level rises, all the lights will start flashing. And with all lights turn red, siren will ring immediately.
So, they can take enough steps to move to a safe side.
Advantages
1. With the help of WLI, we can predict the flood situation within 24 hours.
2. It will save the time of the forecasting center which they used to waste to send the flood signal to the people.
3. It will reduce a huge financial loss.
Space Agency Data
We use data from various site. Most significantly, we use data from NASA Earth Observatory. We use images from there as our necessity. The satellite images were more useful according to our project. It helps us to decorate our project and presentation.
Hackathon Journey
19 September, 1 day before idea submission for NASA Space App Challenge, we asked each other what we have do in NASA Space App Challenge. From that situation to be selected in Top 50 teams was incredible. We can say our Hackathon journey was exciting. As it was a new experience for all of us as a team, we enjoyed, we understand and most importantly we learned a lot from others. Surely this will help us through our lives.
References
- NASA Earth Observatory
https://earthobservatory.nasa.gov/