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

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

doi:https://doi.org/10.5194/hess-26-2899-2022

Articles | Volume 26, issue 11

https://doi.org/10.5194/hess-26-2899-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Contributions of transdisciplinary approaches to hydrology...

https://doi.org/10.5194/hess-26-2899-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 11

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

Supplement

https://doi.org/10.5194/hess-26-2899-2022-supplement

Data sets

Data for scientific paper (on Eawag Research Data Institutional Collection, ERIC): The role of MCDA in a transdisciplinary process: Co-developing a flood forecasting system in West Africa Judit Lienert, Jafet C. M. Andersson, Daniel Hofmann, Francisco Silva Pinto, and Martijn Kuller https://doi.org/10.25678/000629

Video supplement

Interview about the FANFAR project for the European Development Days (the Green Deal for a Sustainable Future; 15.–16.06.2021, #edd21) Jafet Andersson and Aishat Ibrahim https://youtu.be/OrrpG6wZmhI

Video introducing the visualization portal of FANFAR FANFAR consortium https://youtu.be/GjGUkapNpus

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.