An Implementation of Early Warning of Floods along Zambezi Basin Through the Use of Context-Awareness?
Munyaradzi Magomelo, Hilton Chikwiriro, Clive Gurure?
Journal Title:International Journal of Computer Science and Mobile Computing - IJCSMC
The ever-growing research area of early warning in floods is a broad field that has received much
attention from researchers. This is because early warning has proven to be effective in reducing deaths,
injuries and property damage due to floods if done appropriately. In this research, firstly, the researcher
performed an in-depth study and analysis of existing flood warning systems with the aim of evaluating what
has been done and identifying weaknesses that exist if any. Also, improvements over the more traditional
early warning flood systems were evaluated with the aim of justifying the applicability of each in the studied
research implementation area. Secondly, the researcher used an experimental research design that included
surveys as a method to infer conclusions from the sample population, which included the influential flood
warning people selected in the implementation area. The context-aware model was then designed and
implemented using a number of open source tools using an agile software methodology strategy in the
research implementation area and various qualitative and quantitative result data obtained. These results
were then analyzed and the researcher concluded that context awareness did manage to improve early
warning of floods.