Peony| A Flood of Ideas
A Flood of Ideas
Flood Damage Detection and Community Awareness System
Summary
According to the data published by the World Health Organization, in just 19 years floods effected more than two billion people . We focused on the infrastructure problems which damaged by floods. For all of these, we aimed to combine satellite data, current meteorological data and historical flood data to calculate the damage that the next flood will cause both on infrastructure and people. We used two satellite data for this. Our aim is to design an application which estimate future data by averaging the past flood data of twenty years by statistical calculation method. Our aim is to predict the infrastructure damage caused by flood and to minimize the damage.
How We Addressed This Challenge
In this project, we aimed to minimize the infrastructural damages that may occur in the future due to the flood disaster in the world and to raise. We identified the rivers that cause floods in the world. Then, we investigated the agricultural lands affected by these floods, their habitats and their effects on living beings. We want to achieve our purpose by using the data which we obtained in this research. We analyzed the floods that occurred in Brahmaputra River in 2012 and 2020. We used annual meteorological data and statistics for this review. From these data, we obtained the amount of precipitation that caused the flood, the surface area of the land affected by the flood, and the number of people affected. We found that the number of settlements affected by the flood increases in direct proportion with the increasing amount of rainfall every year. Our aim is to calculate the amount of precipitation in 2020 and the years after, by finding the rate of increase in the amount of precipitation in water each year, and calculate the area of the affected land and the number of people and animals to be affected by the mathematical relationship we find. According to this result, it is possible to predict the infrastructural damage of the future water flood to the country or countries and to raise the awareness of the people and ensure that the necessary measures are taken to cope with this situation.
How We Developed This Project
According to the data that announced by the World Health Organization (WHO), the flood constitutes 90% of natural disasters in the last 10 years and affected more than 2 billion people in just 19 years and caused millions of dollars of financial damage every year. Even though we have to stay at home during this pandemic process we wanted to take action and find a solution to this disaster, which caused short and long-term material and moral damages despite the fact that it occurred in a short time, and which we frequently encounter in the news. The difference of our project from previous similar studies is that we aim to save lives and raise awareness, while those studies are only used to be data. Different than past studies we calculate the statistics of historical data and combined them with satellite data to offer you an estimate. Our goal is to make this project accessible to the whole world. However, in this limited time, we chose the Brahmaputra river for the demo, which has the highest loss of life and property.
We aim to minimize the loss of life and property by predicting possible infrastructural problems by examining the severity of periodic rainfall, using meteorology and satellite data, foreseeing possible floods by using the data on the areas that have been submerged in the past and the water levels. In the mapping system we have created, we will raise the awareness by showing the floods that occurred, the possible floods and the regions they may affect for a selected region and time period. We believe we can improve our work by adding more data and algorithms in the following years.
We aimed to create a system based on current data to minimize our margin of error. We will use current river rehabilitation and restoration studies and daily meteorology data. We use EOMAP's satellite-based water quality monitoring system, Essential climate variable (ECV), and altimeters sensor. We obtained our data from Copenicus sentiel -2 and sentiel -3 satellites. We used Nasa's NRC Global Flood Mapping for the map data. We transferred data from the sources of the websites to the SQL database we created, and java was used as the language.
How We Used Space Agency Data in This Project
We used current river rehabilitation and restoration studies and daily meteorology data. We used EOMAP's satellite-based water quality monitoring system and Essential climate variable (ECV). We use EOMAP water quality monitoring system to determine the extent of the flood by detecting the pollution status of the water. We use the ECV to measure depth to determine the depth of the water and to detect the damage it might causes to the infrastructure and environment. We obtained our data from Copenicus sentiel -2 and sentiel -3 satellites. These satellites give us the data of the systems we have determined. We used Nasa's NRC Global Flood Mapping for the map data. We transferred data from the sources of the websites to the SQL database we created, and java was used as the language.
Project Demo
30 second video link: https://youtu.be/i16CG6FAv1U
Demo Web site: https://www.peony47.com
The detailed description of the project:https://54427bc7-595b-4d40-a5dc-eec7ef296510.filesusr.com/ugd/57160d_8921d5c39a044bc2acdcc339925d654e.pdf
Project Presentation: https://54427bc7-595b-4d40-a5dc-eec7ef296510.filesusr.com/ugd/57160d_18b05031165b408194b0532b3db243bd.pdf
Data & Resources
- Nasa's NRC Global Flood Mapping
- Copenicus sentiel -2
- Copenicus sentiel -3
- EOMAP's satellite-based water quality monitoring system
- Essential climate variable (ECV)
- SQL
- JS