Open 17: Water Challenge 2020
Contributing to Flood Early Warning Systems (FEWSs) through crowdsourcing And Machine learning to mitigate Disaster and promoting SGDs".
Historically from the 90% of disaster experienced globally related to weather and natural occurrence, flood has 47% in this report finding either due to extreme storm, rainfall or climatic change all over the world. Affecting over 2.3 billion people globally ( UNSR 2015).
The problem of flooding this project is looking at is the two types of phenomenal flooding we have from Fluvial flood to pluvial which look into the one cause by human activities within the cities that can result to this type of flooding. The problem that is always seeking for a profound solution is the problem of flood risk management .
we under that taken the problem global would be a bigger process especially when it come to crowdsourcing, the changes made in this project is to consider few case areas in Nigeria that has the high risk of flooding and profound solution