Uncovering implicit Seismogenic associated regions towards promoting urban resilience
Earthquakes pose a significant threat to urban environments, highlighting the need for enhanced seismic resilience. To improve understanding of earthquake dynamics and the interplay of seismic activity across space, this study introduces a novel approach for identifying associated regions that exhib...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Resilient Cities and Structures |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772741624000619 |
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| author | Roya Habibi Ali Asghar Alesheikh |
| author_facet | Roya Habibi Ali Asghar Alesheikh |
| author_sort | Roya Habibi |
| collection | DOAJ |
| description | Earthquakes pose a significant threat to urban environments, highlighting the need for enhanced seismic resilience. To improve understanding of earthquake dynamics and the interplay of seismic activity across space, this study introduces a novel approach for identifying associated regions that exhibit interdependence seismic behavior, revealing a network structure of earthquake interplays. This model was applied to earthquakes exceeding 3.0 Mw in Iran (1976–2023), using a 1° × 1° grid. Monthly and seasonal timespans were evaluated to capture potential short-term and long-term interactions. The model revealed a network of interdependent seismic regions in southern and southwestern Iran, predominantly located within the Zagros belt. Notably, the strongest associations were observed between spatial units 45 and 36, located approximately 6° apart in southern Iran. These units exhibited significant association in both monthly and seasonal scenarios, with support values of 0.28 and 0.65, and average confidence values of 0.58 and 0.84, respectively. The second significant bilateral relation was detected between neighboring spatial units 22 and 36, with support values of 0.26 and 0.59, and average confidence values of 0.57 and 0.80, respectively. The recognized structure was compared to the established seismotectonic zoning. This network aligns with established seismotectonic provinces, particularly in the seasonal scenario. The model also identified potential interactions between distinct zones in the monthly scenario, highlighting areas where urban development strategies might need reevaluation. Additionally, the analysis revealed implicit causal relationships between spatial units, pinpointing areas susceptible to or influencing seismic activities elsewhere. These results contribute to a deeper understanding of crustal structure, earthquake propagation, and the potential for seismic activity to trigger earthquakes in nearby or distant areas. This knowledge is crucial for developing effective strategies to build earthquake-resilient cities. |
| format | Article |
| id | doaj-art-66b8068a2886444e89087a9b9f4e0543 |
| institution | Kabale University |
| issn | 2772-7416 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Resilient Cities and Structures |
| spelling | doaj-art-66b8068a2886444e89087a9b9f4e05432024-12-11T05:59:00ZengElsevierResilient Cities and Structures2772-74162024-12-01348394Uncovering implicit Seismogenic associated regions towards promoting urban resilienceRoya Habibi0Ali Asghar Alesheikh1Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, IranCorresponding author.; Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, IranEarthquakes pose a significant threat to urban environments, highlighting the need for enhanced seismic resilience. To improve understanding of earthquake dynamics and the interplay of seismic activity across space, this study introduces a novel approach for identifying associated regions that exhibit interdependence seismic behavior, revealing a network structure of earthquake interplays. This model was applied to earthquakes exceeding 3.0 Mw in Iran (1976–2023), using a 1° × 1° grid. Monthly and seasonal timespans were evaluated to capture potential short-term and long-term interactions. The model revealed a network of interdependent seismic regions in southern and southwestern Iran, predominantly located within the Zagros belt. Notably, the strongest associations were observed between spatial units 45 and 36, located approximately 6° apart in southern Iran. These units exhibited significant association in both monthly and seasonal scenarios, with support values of 0.28 and 0.65, and average confidence values of 0.58 and 0.84, respectively. The second significant bilateral relation was detected between neighboring spatial units 22 and 36, with support values of 0.26 and 0.59, and average confidence values of 0.57 and 0.80, respectively. The recognized structure was compared to the established seismotectonic zoning. This network aligns with established seismotectonic provinces, particularly in the seasonal scenario. The model also identified potential interactions between distinct zones in the monthly scenario, highlighting areas where urban development strategies might need reevaluation. Additionally, the analysis revealed implicit causal relationships between spatial units, pinpointing areas susceptible to or influencing seismic activities elsewhere. These results contribute to a deeper understanding of crustal structure, earthquake propagation, and the potential for seismic activity to trigger earthquakes in nearby or distant areas. This knowledge is crucial for developing effective strategies to build earthquake-resilient cities.http://www.sciencedirect.com/science/article/pii/S2772741624000619Earthquake patternSpatiotemporal association ruleIranSeismotectonic zoningApriori |
| spellingShingle | Roya Habibi Ali Asghar Alesheikh Uncovering implicit Seismogenic associated regions towards promoting urban resilience Resilient Cities and Structures Earthquake pattern Spatiotemporal association rule Iran Seismotectonic zoning Apriori |
| title | Uncovering implicit Seismogenic associated regions towards promoting urban resilience |
| title_full | Uncovering implicit Seismogenic associated regions towards promoting urban resilience |
| title_fullStr | Uncovering implicit Seismogenic associated regions towards promoting urban resilience |
| title_full_unstemmed | Uncovering implicit Seismogenic associated regions towards promoting urban resilience |
| title_short | Uncovering implicit Seismogenic associated regions towards promoting urban resilience |
| title_sort | uncovering implicit seismogenic associated regions towards promoting urban resilience |
| topic | Earthquake pattern Spatiotemporal association rule Iran Seismotectonic zoning Apriori |
| url | http://www.sciencedirect.com/science/article/pii/S2772741624000619 |
| work_keys_str_mv | AT royahabibi uncoveringimplicitseismogenicassociatedregionstowardspromotingurbanresilience AT aliasgharalesheikh uncoveringimplicitseismogenicassociatedregionstowardspromotingurbanresilience |