Articles | Volume 382
https://doi.org/10.5194/piahs-382-583-2020
https://doi.org/10.5194/piahs-382-583-2020
Pre-conference publication
 | 
22 Apr 2020
Pre-conference publication |  | 22 Apr 2020

Land Subsidence risk maps and InSAR based angular distortion structural vulnerability assessment: an example in Mexico City

Enrique Fernández-Torres, Enrique Cabral-Cano, Dario Solano-Rojas, Emre Havazli, and Luis Salazar-Tlaczani

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Latest update: 28 Mar 2024
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Short summary
Land subsidence in Mexico City results from a combination of groundwater resources' overexploitation and the local stratigraphic nature. A Sentinel-1 based subsidence analysis velocity map was used as the basis for a population density weighted land subsidence correlation analysis. Our Land Subsidence Risk assessment indicates that 15.43 % of the population of Mexico City live in intermediate, high and very-high risk zones which corresponds to 1 358 873 inhabitants.