Published April 27, 2021 | Version v1
Dataset Open

Sociohydological vulnerability dataset for Cuajimalpa in Mexico City

  • 1. Architectural Association School of Architecture
  • 2. HR Wallingford
  • 3. British Geological Survey

Description

Data compilation follows Jaramillo's (2018) and Babel (2011), and Huang & Cai (2009) methodology to assess the vulnerability of socio-hydrologic systems, consisting on a weighted sum of the water stress index divided by the adaptive capacity of its population.

\(SHI = {WSI\over ACI}\)

The following spatial datasets include the data processing, disaggregation, and calculation of the required layers to calculate the SHI index for Cuajimalpa. The information was obtained from origanisations such as INEGI, CONAGUA, PAOT, Mexico City's government, and European Centre for Medium-Range Weather Forecasts.

Notes

This work was done with the support of the British Council grant number 527479141 and SECTEI. The selection of the Jaramillo method was provided by Fluxus.

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Additional details

References

  • Babel, M. S., Pandey, V. P., Rivas, A. A., & Wahid, S. M. (2011). Indicator-based approach for assessing the vulnerability of freshwater resources in the Bagmati River Basin, Nepal. Environmental Management, 48(5), 1044–1059. https://doi.org/10.1007/s00267-011-9744-y
  • Huang, Y., & Cai, M. (2009). Vulnerability Assessment of Freshwater Resources to Environmental Change. In Methodologies Guidelines. United Nations Environment Programme. https://doi.org/10.1039/c3nr90091f
  • Jaramillo, L. V., Stone, M. C., & Morrison, R. R. (2018). An indicator-based approach to assessing resilience of socio-hydrologic systems in Nepal to hydropower development. Journal of Hydrology, 563(July), 1111–1118. https://doi.org/10.1016/j.jhydrol.2018.05.070