Assessing the relationship between contributing factors and sinkhole occurrence in Mexico City
AbstractSinkholes pose a significant hazard in Mexico City (CDMX), causing substantial economic damage. While the link between sinkhole formation and groundwater extraction has been studied, specific mechanisms vary by site. Our overall aim is to characterize the phenomenon of sinkholes in CDMX. To...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2023.2296377 |
| _version_ | 1797261954034696192 |
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| author | Nelly L. Ramírez-Serrato S. A. García-Cruzado G. S. Herrera F. D. Yépez-Rincón S. Villarreal |
| author_facet | Nelly L. Ramírez-Serrato S. A. García-Cruzado G. S. Herrera F. D. Yépez-Rincón S. Villarreal |
| author_sort | Nelly L. Ramírez-Serrato |
| collection | DOAJ |
| description | AbstractSinkholes pose a significant hazard in Mexico City (CDMX), causing substantial economic damage. While the link between sinkhole formation and groundwater extraction has been studied, specific mechanisms vary by site. Our overall aim is to characterize the phenomenon of sinkholes in CDMX. To achieve this, we create a database with 13 influencing factors, including population density, well density, distance to faults, fractures, roads, streams, elevation, slope, clay thickness, lithology, subsidence rate, geotechnical zones, and soil texture. Sinkhole locations were obtained from CDMX’s Risk Atlas (2017–2019). We shaped a susceptibility map based on statistical regression methods derived from applying linear regression models. For the susceptibility map, results showed that 40% of variables are significantly correlated with sinkhole density. Despite the regression model explained 24% of sinkhole density variability, it helped choosing variables for the susceptibility map that correlate better (89.7%). Hence, we identified that the northeast CDMX was the most susceptible zone. Therefore, the compound assessment of environmental factors is useful for the evaluation of susceptibility maps to identify prone factors for the generation of sinkholes. This framework provides relevant information for better use of the territory throughout the development of public policies. |
| first_indexed | 2024-03-08T19:15:15Z |
| format | Article |
| id | doaj.art-19d79f2c6002433aa46f6f883529f627 |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-04-24T23:49:25Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-19d79f2c6002433aa46f6f883529f6272024-03-14T21:32:56ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132024-12-0115110.1080/19475705.2023.2296377Assessing the relationship between contributing factors and sinkhole occurrence in Mexico CityNelly L. Ramírez-Serrato0S. A. García-Cruzado1G. S. Herrera2F. D. Yépez-Rincón3S. Villarreal4Recursos Naturales, Instituto de Geofísica, Universidad Nacional Autónoma de México, Coyoacán, MéxicoPosgrado en Ciencias de la Tierra, Universidad Nacional Autónoma de México, Coyoacán, MéxicoRecursos Naturales, Instituto de Geofísica, Universidad Nacional Autónoma de México, Coyoacán, MéxicoDepartamento de Geomática, Facultad de Ingeniería Civil, Universidad Autónoma de Nuevo León, San Nicolás, MéxicoDepartamento de ingeniería Sustentable, Centro de Investigación en Materiales Avanzados, S.C., Subsede Durango, MéxicoAbstractSinkholes pose a significant hazard in Mexico City (CDMX), causing substantial economic damage. While the link between sinkhole formation and groundwater extraction has been studied, specific mechanisms vary by site. Our overall aim is to characterize the phenomenon of sinkholes in CDMX. To achieve this, we create a database with 13 influencing factors, including population density, well density, distance to faults, fractures, roads, streams, elevation, slope, clay thickness, lithology, subsidence rate, geotechnical zones, and soil texture. Sinkhole locations were obtained from CDMX’s Risk Atlas (2017–2019). We shaped a susceptibility map based on statistical regression methods derived from applying linear regression models. For the susceptibility map, results showed that 40% of variables are significantly correlated with sinkhole density. Despite the regression model explained 24% of sinkhole density variability, it helped choosing variables for the susceptibility map that correlate better (89.7%). Hence, we identified that the northeast CDMX was the most susceptible zone. Therefore, the compound assessment of environmental factors is useful for the evaluation of susceptibility maps to identify prone factors for the generation of sinkholes. This framework provides relevant information for better use of the territory throughout the development of public policies.https://www.tandfonline.com/doi/10.1080/19475705.2023.2296377SubsidencemulticriteriagISland deformationrisknatural disaster |
| spellingShingle | Nelly L. Ramírez-Serrato S. A. García-Cruzado G. S. Herrera F. D. Yépez-Rincón S. Villarreal Assessing the relationship between contributing factors and sinkhole occurrence in Mexico City Geomatics, Natural Hazards & Risk Subsidence multicriteria gIS land deformation risk natural disaster |
| title | Assessing the relationship between contributing factors and sinkhole occurrence in Mexico City |
| title_full | Assessing the relationship between contributing factors and sinkhole occurrence in Mexico City |
| title_fullStr | Assessing the relationship between contributing factors and sinkhole occurrence in Mexico City |
| title_full_unstemmed | Assessing the relationship between contributing factors and sinkhole occurrence in Mexico City |
| title_short | Assessing the relationship between contributing factors and sinkhole occurrence in Mexico City |
| title_sort | assessing the relationship between contributing factors and sinkhole occurrence in mexico city |
| topic | Subsidence multicriteria gIS land deformation risk natural disaster |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2023.2296377 |
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