EGU2020-16188
https://doi.org/10.5194/egusphere-egu2020-16188
EGU General Assembly 2020
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

A socio-hydrological model to explore the role of social inequality on human-flood interactions

Simon Moulds1 and Wouter Buytaert1,2
Simon Moulds and Wouter Buytaert
  • 1Imperial College London, Environmental and Water Resources Engineering, Civil and Environmental Engineering, London, United Kingdom (simon.moulds@imperial.ac.uk)
  • 2Grantham Institute - Climate Change and the Environment, Imperial College London, London, United Kingdom

In several developing cities flooding has become an annual occurrence which threatens lives, livelihoods and homes. However, the exposure of urban populations to climate risks such as flooding is highly heterogeneous, with the effects of climate variability felt disproportionately by the poor. Rapid urbanisation and population growth, combined with systemic factors such as complex land tenure arrangements, inadequate transportation and weak governance, has led to the proliferation of unplanned urban settlements which lack basic infrastructure and are frequently situated on marginal, flood-prone land. While the immediate effects of floods can cause physical, economic and social devestation, floods also have multiple long-lasting effects which may increase vulnerability and exacerbate inequalities. Here, we adapt an existing socio-hydrological model of human-flood interactions (Di Baldassarre et al. 2013; Viglione et al. 2014) to explicitly account for a stratified society consisting of the “haves”, who reside in planned settlements with some degree of flood protection, and the “have-nots”, who live in unplanned, informal settlements which are more vulnerable to flooding. Initially, we conduct a sensitivity analysis to identify the parameters in the original model which may be influenced by social inequality. We then introduce a new state variable to represent the transfer of wealth from the “haves” to the “have-nots”, and use this setup to investigate the effects of wealth redistribution on the co-evolution of the coupled system.

References:

  • Baldassarre, G. D. et al. (2013). Socio-hydrology: conceptualising human-flood interactions. Hydrology and Earth System Sciences, 17(8), 3295-3303.
  • Viglione, A. et al. (2014). Insights from socio-hydrology modelling on dealing with flood risk–roles of collective memory, risk-taking attitude and trust. Journal of Hydrology, 518, 71-82.

How to cite: Moulds, S. and Buytaert, W.: A socio-hydrological model to explore the role of social inequality on human-flood interactions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16188, https://doi.org/10.5194/egusphere-egu2020-16188, 2020.

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