Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.102
IF 5-year value: 3.284
IF 5-year
CiteScore value: 5.1
SNIP value: 1.37
IPP value: 3.21
SJR value: 1.005
Scimago H <br class='widget-line-break'>index value: 90
Scimago H
h5-index value: 42
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  17 Jan 2020

17 Jan 2020

Review status
A revised version of this preprint is currently under review for the journal NHESS.

Spatialised flood resilience measurement in rapidly urbanized coastal areas with complex semi-arid environment in Northern Morocco

Narjiss Satour1, Otmane Raji2, Nabil El Mocayd3, Ilias Kacimi1, and Nadia Kassou1 Narjiss Satour et al.
  • 1Geosciences, Water and Environment Laboratory, Mohammed V University, Rabat, Morocco
  • 2Geology & Sustainable Mining, University Mohammed 6 Polytechnic, Benguerir, Morocco
  • 3International Water Research Institute, University Mohammed 6 Polytechnic, Benguerir-Rabat, Morocco

Abstract. Enhancing resilience is critical for coastal urban systems to cope with and minimize flood disaster risks. Global increases in the frequency of floods is a major concern for many areas in Africa. In this regard, urban planners need increasingly accurate approaches to set up a standard for measuring the resilience to floods. In Morocco, this issue is still not fully covered by the scientific community, despite the obvious need for a new approach adapted to local conditions. Using three northern coastal municipalities, this study applied a composite index and geographic information system approach to measure and map resilience to floods. The approach is also based on a linear ranking of resilience parameters, offering a more optimal classification of spatial resilience variation. The findings allowed to identify specific areas with different resilience levels and revealed the relationship between urban dimensions and the flood resilience degree. This approach provides an efficient decision support tool to facilitate flood risk management especially in terms of prioritization of protective actions.

Narjiss Satour et al.

Interactive discussion

Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Narjiss Satour et al.

Narjiss Satour et al.


Total article views: 573 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
435 128 10 573 19 14
  • HTML: 435
  • PDF: 128
  • XML: 10
  • Total: 573
  • BibTeX: 19
  • EndNote: 14
Views and downloads (calculated since 17 Jan 2020)
Cumulative views and downloads (calculated since 17 Jan 2020)

Viewed (geographical distribution)

Total article views: 418 (including HTML, PDF, and XML) Thereof 412 with geography defined and 6 with unknown origin.
Country # Views %
  • 1



No saved metrics found.


No discussed metrics found.
Latest update: 27 Nov 2020
Publications Copernicus