This study aims to help the management of the Stormwater Drainage System
(SDS) of Bejaia City to manage urban flood problems, i.e., to provide them
with tools for a better organization of information on SDS combined with a
better optimization of its interventions on the network. Our study is based
on a multicriteria analysis of the ?SDS-inundation-Impact? system. We used a
multicriteria approach and classified the overflow points called Black
Points (BPs) using two methods: Analytic Hierarchy Process (AHP) and Failure
Mode, Effect and criticality Analysis (FMEA). The criteria and the
evaluation scale were defined on the basis of past observations, expert
opinions, and feedback experience. The map of the past flooded areas was
made and used to calibrate the two models. We mapped the BPs according to
intervention priorities (one to four). The outcomes from both models are
greatly comparable to the results of the impact assessment of past floods.
The proposed approach can also reduce flood risks by integrating some of
influencing factors (causing floodings) and the application can be adapted
and implemented in other cities too. Both methods are reliable, particularly
the AHP for the most overflowing BPs. They could be advantageously combined
to improve decision-making.