Articles | Volume 26, issue 11
https://doi.org/10.5194/hess-26-2899-2022
https://doi.org/10.5194/hess-26-2899-2022
Research article
 | 
13 Jun 2022
Research article |  | 13 Jun 2022

The role of multi-criteria decision analysis in a transdisciplinary process: co-developing a flood forecasting system in western Africa

Judit Lienert, Jafet C. M. Andersson, Daniel Hofmann, Francisco Silva Pinto, and Martijn Kuller

Viewed

Total article views: 4,215 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,067 1,057 91 4,215 338 93 114
  • HTML: 3,067
  • PDF: 1,057
  • XML: 91
  • Total: 4,215
  • Supplement: 338
  • BibTeX: 93
  • EndNote: 114
Views and downloads (calculated since 06 Oct 2021)
Cumulative views and downloads (calculated since 06 Oct 2021)

Viewed (geographical distribution)

Total article views: 4,215 (including HTML, PDF, and XML) Thereof 4,023 with geography defined and 192 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Jan 2026
Download
Short summary
Many western Africans encounter serious floods every year. The FANFAR project co-designed a pre-operational flood forecasting system (FEWS) with 50 key western African stakeholders. Participatory multi-criteria decision analysis (MCDA) helped prioritize a FEWS that meets their needs: it should provide accurate, clear, and timely flood risk information and work reliably in tough conditions. As a theoretical contribution, we propose an assessment framework for transdisciplinary hydrology research.
Share