EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Longitudinal Survey Data Call For Diversifying Temporal Dynamics In Modelling Human-Water Systems

Elena Mondino1,2, Anna Scolobig3, Marco Borga4, and Giuliano Di Baldassarre1,2
Elena Mondino et al.
  • 1Centre of Natural Hazards and Disaster Science, 752 36 Uppsala, Sweden (
  • 2Department of Earth Sciences, Uppsala University, 752 36 Uppsala, Sweden
  • 3Environmental Governance and Territorial Development Institute, University of Geneva, 1205 Geneva, Switzerland
  • 4Department of Land, Environment, Agriculture and Forestry, University of Padua, 351 22 Padua, Italy

Numerous scholars have unravelled the complexities and underlying uncertainties of coupled human and water systems in various fields and disciplines. These complexities, however, are not always reflected in the way in which the dynamics of human-water systems are modelled. One reason is the lack of social data times series, that may be provided by longitudinal surveys. Here, we show the value of collecting longitudinal survey data to enrich sociohydrological modelling of flood risk. To illustrate, we compare and contrast two different approaches (repeated cross-sectional and panel) for collecting longitudinal data, and explore changes in flood risk awareness and preparedness in a municipality hit by a flash flood in 2018. We found that risk awareness has not changed significantly in the timeframe under study (one year). Perceived preparedness also did not change, but we observed differences related to damage severity. More precisely, preparedness increased only among those respondents who suffered low damages during the flood event. We also found gender differences across both approaches for most of the variables explored. Lastly, we argue that results that are consistent across the two approaches constitute robust data that can be used for the parametrisation of sociohydrological models. Moreover, we posit that there is a need to improve socio-demographic heterogeneity in modelling human-water systems in order to better support risk management.

How to cite: Mondino, E., Scolobig, A., Borga, M., and Di Baldassarre, G.: Longitudinal Survey Data Call For Diversifying Temporal Dynamics In Modelling Human-Water Systems, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-90,, 2020.


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