Flooding in Nigeria: a review of its occurrence and impacts and approaches to modelling flood data

Abstract

This paper surveys flood mapping and modelling in Nigeria in regard to frequency and impact of floods in the last decade. The aim is to understand the frequency and patterns of flooding and approaches to its modelling in relation to current practices globally. The northern part of Nigeria is affected more by flooding than the south, so should be prioritised for flood management. The use of remote sensing data with GIS techniques is the most common approach to flood modelling in Nigeria. Bayesian and machine learning approaches should be used, in preference to process-based models.