Anna MsigwaAyodeji Samuel MakindeGrite Nelson Mwaijengo
Flash floods are natural disasters that significantly threaten communities and infrastructure worldwide. Flash flood early warning systems (FFEWS) have been developed to mitigate the negative impacts of flash floods. These systems rely on monitoring and forecasting weather conditions and providing timely warnings to potentially affected communities. However, their effectiveness in reducing disaster risks needs to be better established. This chapter aims to critically review flash flood early warning systems, examining their strengths, limitations, and challenges associated with their implementation and proposing an improved framework and algorithm for an early warning system to mitigate some of the challenges encountered in previous systems. By delving into the current state of these systems, their components, and the factors influencing their effectiveness, this chapter seeks to enhance our understanding of EWS and contribute to developing more robust and efficient strategies for mitigating the impacts of flash floods.
María J. Henao SalgadoJeannette Zambrano Nájera
Rutherford H. PlattScott A. Cahail
Haichen LiXiaohui LeiYizi ShangTao Qin