@article{fdi:010092886,
  title = {{M}odelling urban stormwater drainage overflows for assessing flood hazards : application to the urban area of {D}akar ({S}enegal)},
  author = {{D}i{\'e}m{\'e}, {L}. {P}. {M}. and {B}ouvier, {C}hristophe and {B}odian, {A}. and {S}idib{\'e}, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}ith the recurrence of flooding in {A}frican cities, there is growing interest in developing sufficiently informative tools to help characterize and predict overflow risks. {O}ne of the challenges is to develop methods that strike a compromise between the accuracy of simulations, the availability of basic data, and the shortening of calculation times to be compatible with real-time applications. {T}he present study, carried out on the urban outskirts of {D}akar, aims to propose a method capable of modelling flows at fine resolution (25 m2) over the entire area and provide a rapid diagnosis of how the drainage network is operating for rainfall intensities of different return periods, while taking urban conditions into account. {T}hree methodological steps are combined to achieve this objective: (i) determination of drainage directions, including modifications induced by buildings, artificial drainage, and storage basins; (ii) application of a hydrological model to calculate flows at the outlets of elementary catchment; and (iii) implementation of a hydraulic model to propagate these flows through the drainage network and implementation of a storage model for retention basins. {T}he modelling chain was built within the {ATHYS} platform. {T}he network overflow points are detected if the difference between the calculated flows exceeds the network capacity to evacuate them. {E}xamples are given by carrying out simulations using 10- and 100-year design rainfall. {T}he model also provides boundary conditions to apply more complex hydraulic models to determine the local impact of drainage network overflows on limited areas. {H}owever, the capacity of the method still needs to be validated in further research by comparing it with accurate data from observed flood events.},
  keywords = {{SENEGAL} ; {DAKAR}},
  booktitle = {},
  journal = {{N}atural {H}azards and {E}arth {S}ystem {S}ciences},
  volume = {25},
  numero = {3},
  pages = {1095--1112},
  ISSN = {1561-8633},
  year = {2025},
  DOI = {10.5194/nhess-25-1095-2025},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092886},
}