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RAPID-SIS: Sistema Automatizado = para el Procesamiento de Datos Acelerográficos y Generación de Reportes Sísmicos para Uso Ingenieril=

RAPID-SIS: An Automated System for Processing Accelerographic Data and Generating Engineering-Orien= ted Seismic Reports

Andrés Iglesias¹ & Luis A. Pinzón1,2*

=

¹Centro de Investigación Científica y Tecnoló= gica, Universidad Católica Santa María La Antigua, Ciudad de Panamá, Panamá

²Sistema Nacional de Investigación, Secretaría Nacion= al de Ciencia, Tecnología e Innovación, Ciudad de Panamá, Panamá

*Autor por correspondencia: Luis A. Pinzón, lpinzon@usma.ac.pa

Recibido: 6 de agosto de 2025 =

Acepta= do: 12 de agosto de 2025

Resumen

La Red Acelerográfica de Panamá (RAP), establecida en 2024= en conjunto con el Laboratorio de Ingeniería Sísmica de la Universidad de Co= sta Rica (LIS-UCR), surge ante la necesidad de contar con registros acelerográficos confiables para su aplicación en in= geniería sísmica. No obstante, el procesamiento manual de estos registros represent= a una barrera significativa tanto para su uso eficiente en estudios estructurales como para la toma de decisiones oportunas tras la ocurrencia de un evento sísmico. Para resolver este problema, se definieron como criterios clave la automatización del procesamiento, la precisión de los resultados, la faci= lidad de uso y la posibilidad de integración con otros sistemas. Como solución,= se desarrolló RAPID-SIS (Reporte Automático de Procesamiento Integrado de Da= tos Sísmicos), una herramienta computacional amigable para el usuario, que per= mite el procesamiento automatizado de registros crudos provenientes de acelerógrafos. Esta herramienta genera señales corregidas de aceleración, velocidad y desplazamiento, espectros de respuesta para un 5% de amortiguamiento, análisis vectorial del movimiento (h= odograma y orientación de máxima intensidad), y visualización cartográfica del e= vento (epicentro, estación y distancia epicentral). La implementación se llevó= a cabo utilizando Python para el procesamiento de señales, y LaTeX para la genera= ción automatizada de reportes técnicos. La herramienta fue validada utilizando = datos reales de la RAP, demostrando su eficacia para producir reportes de forma rápida, consistente y útil para aplicaciones científicas, estructurales = y de gestión de emergencias. Este desarrollo representa un paso clave hacia la modernización del monitoreo y análisis sísmico en Panamá. Entre sus opo= rtunidades futuras se contempla la integración con plataformas web y la incorporació= n de módulos adicionales para análisis de riesgo y sistemas de alerta temprana= .

Palabras clave: Red Acelerográfica de Panamá; procesamiento sísm= ico automatizado; Python; LaTeX; herramienta computacional; espectros de respue= sta; hodograma; ingeniería sísmica; toma de decisi= ones; acelerogramas.

Abstract

The Panamanian Accelerographic Network (= RAP), established in 2024 in collaboration with the Earthquake Engineering Labora= tory at the University of Costa Rica (LIS-UCR), was created to meet the need for reliable accelerographic records for seismic engineering applications. However, manual processing of these records prese= nts a significant barrier to their effective use in structural studies and time= ly decision-making following seismic events. To address this challenge, key de= sign criteria were defined: automated processing, result accuracy, user-friendliness, and integration capability with other systems. As a solution, a user-friendly computational tool named RAPID-SIS (Automated Rep= ort for Integrated Seismic Data Processing) was developed to automate the processing of raw records from accelerographs. The tool generates corrected acceleration, velocity, and displacement time series, 5%-damped response spectra, vector motion analysis (hodograph and maximum intensity orientatio= n), and event visualizations including epicenter, s= tation location, and epicentral distance. The system was implemented using Python = for signal processing and LaTeX for automated generation of professional techni= cal reports. RAPID-SIS was validated using real data from RAP, demonstrating its effectiveness in delivering fast, consistent reports suitable for scientifi= c, structural, and emergency management applications. This development marks a significant step toward modernizing seismic monitoring and analysis in Pana= ma. Future opportunities include integration with web platforms and the additio= n of new modules for risk analysis and early warning systems.<= /i>

Keywords:= Panamanian Accelero= graphic Network, automated seismic processing; Pyth= on; LaTeX; computational tool; response spectra, hodograph; seismic engineering; decision-making; accelerograms.

Introducción

El monitoreo sísmico en tiempo = real constituye una herramienta esencial para la mitigación del riesgo sísmico= y el desarrollo de estudios de ingeniería estructural. La disponibilidad de registros acelerográficos confiables permite caracterizar con mayor precisión la intensidad de los movimientos del suel= o en estudios de amenaza sísmica, y su impacto sobre las edificaciones. En 2024= , se estableció la Red Acelerográfica de Panamá (= RAP) (Pinzón, Vargas, et al., 2024; Universidad Cat�= �lica Santa María La Antigua, 2024)

Actualmente, la RAP cuenta con estaciones ubicadas en David, Ciudad de Panamá y Coronado, así como tres estaciones adicionales compartidas con Costa Rica en la zona fronteriza. Ca= da estación está equipada con un acelerógrafo modelo TITAN SMA, con capacid= ad de muestreo de 200 Hz en tres componentes ortogonales (E-W, N-S y vertical) (Pinzón, Vargas, et al., 2024)

El contexto tectónico de Panamá refuerza la urgencia de estas iniciativas. La falla de Pedro Miguel, locali= zada cerca del Canal de Panamá y la Ciudad de Panamá, ha experimentado al meno= s tres terremotos en los últimos 1,600 años, con magnitudes que probablemente alcanzaron M7.0 (Rockwell et al., 2010)ADDIN CSL_CITAT= ION {"citationItems":[{"id":"ITEM-1","itemDa= ta":{"DOI":"10.1785/0120090342","author"= :[{"dropping-particle":"","family":"Rock= well","given":"Thomas","non-dropping-particle= ":"","parse-names":false,"suffix":"= "},{"dropping-particle":"","family":&quo= t;Gath","given":"Eldon","non-dropping-particl= e":"","parse-names":false,"suffix":"= ;"},{"dropping-particle":"","family":&qu= ot;González","given":"Tania","non-dropping-p= article":"","parse-names":false,"suffix"= :""},{"dropping-particle":"","family&quo= t;:"Madden","given":"Chris","non-droppin= g-particle":"","parse-names":false,"suffix&qu= ot;:""},{"dropping-particle":"","family&= quot;:"Lippincott","given":"Caitlin","no= n-dropping-particle":"","parse-names":false,"= suffix":""},{"dropping-particle":"",&quo= t;family":"Dawson","given":"Tim","n= on-dropping-particle":"","parse-names":false,"= ;suffix":""},{"dropping-particle":"",&qu= ot;family":"Owen","given":"Lewis A","non-dropping-particle":"","parse-names&qu= ot;:false,"suffix":""},{"dropping-particle":&= quot;","family":"Fuchs","given":"Ma= rkus","non-dropping-particle":"","parse-names= ":false,"suffix":""}],"id":"ITEM-1&= quot;,"issue":"6","issued":{"date-parts&= quot;:[["2010"]]},"page":"3097-3129","ti= tle":"Neotectonics and Paleoseismology of the Limón and Pedro Miguel Faults in Panamá : Eart= hquake Hazard to the Panamá Canal","type":"article-journal","volume"= :"100"},"uris":["http://www.mendeley.com/documents= /?uuid=3D27fbbd50-4b5a-4fe7-a028-f5fd0cfe8100"]}],"mendeley"= :{"formattedCitation":"(Rockwell et al., 2010)","plainTextFormattedCitation":"(Rockwell = et al., 2010)","previouslyFormattedCitation":"(Rockwell et al., 2010)"},"properties":{"noteIndex":0},"sc= hema":"https://github.com/citation-style-language/schema/raw/mast= er/csl-citation.json"}(Rockwell et al., 2010)

En Centroamérica, diversas rede= s acelerográficas han contribuido significativamente al monitoreo sísmico (Hidalgo-Leiva et al., 2023; Moya-Fernández et = al., 2020; Pinzón, Leiva, et al., 2021)

La implementación de herramient= as computacionales que automaticen la generación de reportes acelera la toma = de decisiones post-sismo, y permite su integració= n con plataformas de visualización y gestión de emergencias. Estas herramientas también son útiles para investigadores, diseñadores estructurales y resp= onsables de normativas, ya que proveen datos estandarizados. A pesar de estos avance= s y riesgos, el procesamiento manual de los registros obtenidos limita su utili= dad inmediata, especialmente en contextos que requieren respuestas rápidas tra= s un evento sísmico. Por ello, se identificó la necesidad de una herramienta q= ue automatizara el procesamiento de datos y generara reportes técnicos estandarizados y reproducibles.

=

Materiales y métodos

=

Adquisición y características de los datos

Cada acelerógrafo TITAN SMA instalado en la RAP registra las aceleraciones del suelo en las tres componentes ortogonales a una frecuencia de 200 muestras por segundo. Los d= atos crudos (raw data) se almacenan localmente en formato m= iniSEED y se transmiten al sistema central para su posterior procesamiento. El ento= rno operativo incluye estaciones con respaldo energético (baterías), sistemas= de GPS sincronizados y conectividad segura para asegurar la integridad de los registros.

Pr= ocesamiento automatizado con RAPID-SIS

RAPID-SIS es una herramienta desarrollada en Python para la lectura, filtrado y análisis de registros sísmicos, basada en la biblioteca ObsPy. El pr= ograma recibe como entrada datos sin corregir (raw data) en formato miniSEED. A partir de estos, el sistema aplica correc= ciones por línea base, realiza el filtrado de la señal y lleva a cabo integracio= nes numéricas para obtener las historias de tiempo de velocidad y desplazamien= to a partir de los registros de aceleración. Asimismo, genera espectros de resp= uesta considerando un 5 % de amortiguamiento crítico, los cuales son esenciale= s para estudios de amenaza sísmica, así como para el diseño y evaluación estru= ctural.

Se desarrollaron algoritmos para calcular la orientación del vector de máxima intensidad mediante transformaciones geométricas sobre las componentes horizontales, generando representaciones tipo hodograma. La información espacial del evento (ubicación epicentral, estación y distancia) se incor= pora en mapas generados automáticamente. Los reportes técnicos se generan en f= ormato PDF mediante plantillas preconfiguradas en LaTeX, integradas al flujo de trabajo Python. El sistema incluye un módulo de configuración que permite personalizar los parámetros del procesamiento, como ventanas de corte, frecuencias de corte para el filtrado, y parámetros de integración. Adem�= �s, RAPID-SIS exporta los registros corregidos en formatos estándar que pueden= ser utilizados por otros programas de análisis sísmico (Figura 1).=

Figura . Esquema general del flujo de procesamiento en RAPID-SIS.

Validación con eventos reales

Se seleccionó como caso de estu= dio un evento registrado el 8 de julio de 2024 en la estación CHUS, cuyos datos fueron procesados completamente con RAPID-SIS (Figura 2). El informe genera= do fue evaluado en cuanto a completitud, precisión y tiempo de ejecución. La validación incluyó la revisión de los valores máximos de aceleración, = velocidad y desplazamiento (PGA, PGV, PGD respectivamente) y espectros de respuesta, = así como la evaluación del tiempo total de procesamiento.

Figura . Ventana de usuario de RAPID-SIS.=

Resultados

Los informes generados por RAPID= -SIS incluyen los principales productos necesarios para el análisis ingenieril = de un evento sísmico: historias de tiempo corregidas de aceleración, velocidad y desplazamiento; espectros de respuesta con un 5% de amortiguamiento; orientación del vector de máxima intensidad (hodogra= ma); y mapas de localización epicentral.

El informe del evento registrado= el 8 de julio de 2024 en la estación CHUS fue generado en menos de un minuto, desde la entrada del archivo crudo hasta la obtención del reporte completo= en PDF. En contraste, un procesamiento manual de similares características pu= ede demorar entre 30 minutos y 1 hora, dependiendo del nivel de intervención requerida.

Corrección de señales = y medidas de intensidad

Para las señales corregidas, se aplicó una corre= cción de línea base a cada componente, seguida de la aplicación de un filtro pa= so banda tipo Butterworth de cuarto orden, con frecuencias de corte típicas e= n el rango de 0.1 Hz a 25 Hz. Además, se incorporó un algoritmo de corte intel= igente que selecciona automáticamente la ventana útil del registro, dejando úni= camente los cinco segundos anteriores y posteriores al tramo donde se supera una aceleración umbral. Para este ejemplo, se utilizó un valor de referencia = de 1.00 cm/s² como límite inferior. Esta estrategia permite eliminar segment= os sin contenido sísmico relevante y mejora la eficiencia del procesamiento.

En la Figura 3 se presentan las historias temporales corregidas tras el procesamiento con RAPID-SIS, destacándose los valores de PGA, PGV y PGD para cada componente. Estos resultados fueron comparados con los reportados por Pinzón et al., (2024)Por otro lado, la respuesta espectral obtenida permite analizar la intensidad del sismo en distintas frecuencias, lo que resulta fundamental para evaluar su impacto potencial s= obre estructuras con diversos períodos naturales de oscilación. La Figura 4 mu= estra los espectros de respuesta obtenidos en aceleración, velocidad y desplazamiento, considerando un amortiguamiento crítico del 5 %. Los espectros de respuesta para un 5% de amortiguamiento fueron calculados utilizando la integral de Duhamel (Viens & Denolle, 2019).

(a)=

(b)=

(c)=

Figura . (a) Acelerogramas= , (b) velocigramas y (c) desplacigrama= s corregidos para las tres componentes registradas durante el evento del 8 de julio de 2024 en la estación CHUS.

(a)=

(b)=

(c)=

Figura . Espectros de respuesta de (a) aceleración, (= b) velocidad y (c) desplazamiento con un 5% de amortiguamiento para las tres componentes registradas durante el evento del 8 de julio de 2024 en la esta= ción CHUS.

Representación vectoria= l del movimiento

Los hodogra= mas generados a partir de los registros del sismo del 8 de julio de 2024 permit= en visualizar de manera clara el movimiento de las partículas del terreno en = el plano horizontal y, en algunos casos, en el espacio tridimensional <= !--[if supportFields]>ADDIN CSL_CITAT= ION {"citationItems":[{"id":"ITEM-1","itemDa= ta":{"DOI":"10.3390/geosciences9070294","auth= or":[{"dropping-particle":"","family":&q= uot;Pinzón","given":"Luis A.","non-dropping-particle":"","parse-names&q= uot;:false,"suffix":""},{"dropping-particle":= "","family":"Pujades","given":"= ;L. G.","non-dropping-particle":"","parse-names&q= uot;:false,"suffix":""},{"dropping-particle":= "","family":"Macau","given":"A= .","non-dropping-particle":"","parse-names&qu= ot;:false,"suffix":""},{"dropping-particle":&= quot;","family":"Carreño","given":"= ;E.","non-dropping-particle":"","parse-names&= quot;:false,"suffix":""},{"dropping-particle"= :"","family":"Alcalde","given":&quo= t;J. M.","non-dropping-particle":"","parse-names&q= uot;:false,"suffix":""}],"container-title":&q= uot;Geosciences","id":"ITEM-1","issue":&= quot;7","issued":{"date-parts":[["2019"]= ]},"page":"294","title":"Seismic Site Classification from the Horizontal-to-Vertical Response Spectral Ratio= s: Use of the Spanish Strong-Motion Database","type":"article-journal","volume&qu= ot;:"9"},"uris":["http://www.mendeley.com/document= s/?uuid=3Dcbe5a169-2f8a-47cd-8df5-00cc586a49c6"]}],"mendeley"= ;:{"formattedCitation":"(Pinzón et al., 2019)","plainTextFormattedCitation":"(Pinzón et al., 2019)","previouslyFormattedCitation":"(Pinzón et = al., 2019)"},"properties":{"noteIndex":0},"schema&= quot;:"https://github.com/citation-style-language/schema/raw/master/cs= l-citation.json"}(Pinzón et al., 2019)

En la Figura 5 se presentan los = hodogramas calculados con RAPID-SIS, donde se indican= los valores máximos registrados de aceleración, velocidad y desplazamiento, j= unto con su orientación angular en el plano horizontal. Esta información es fundamental para identificar patrones de directividad y direccionalidad, aspectos que pueden amplificar la respuesta estructural dependiendo de la alineación de los ejes principales de las edificaciones con respecto a la fuente sísmica.

(a)

(b)

(c)=

Figura . Hodogramas del movimiento horizontal en (a) aceleración, (b) velocidad y (c) desplazamien= to del evento del 8 de julio de 2024 registrado en la estación CHUS.=

El análisis de la orientación = del movimiento permite, además, correlacionar posibles mecanismos de daño obs= ervados en el campo con la dirección principal del movimiento del terreno <= !--[if supportFields]>ADDIN CSL_CITAT= ION {"citationItems":[{"id":"ITEM-1","itemDa= ta":{"DOI":"10.1785/0120180049","ISBN":&= quot;0120180049","ISSN":"0037-1106","author&q= uot;:[{"dropping-particle":"","family":"= Pinzón","given":"Luis A.","non-dropping-particle":"","parse-names&q= uot;:false,"suffix":""},{"dropping-particle":= "","family":"Pujades","given":"= ;L. G.","non-dropping-particle":"","parse-names&q= uot;:false,"suffix":""},{"dropping-particle":= "","family":"Diaz","given":"S. 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G.","non-dropping-particle":"","parse-names&q= uot;:false,"suffix":""},{"dropping-particle":= "","family":"Hidalgo-leiva","given"= :"Diego A","non-dropping-particle":"","parse-names&qu= ot;:false,"suffix":""},{"dropping-particle":&= quot;","family":"Díaz","given":"Se= rgio A","non-dropping-particle":"","parse-names&qu= ot;:false,"suffix":""}],"container-title":&qu= ot;Ingegneria Sismica","id":"ITEM-2","issue":"3&q= uot;,"issued":{"date-parts":[["2018"]]},"= ;page":"43-63","title":"Directionality models from ground motions of Italy","type":"article-jo= urnal","volume":"35"},"uris":["http= ://www.mendeley.com/documents/?uuid=3D51ecf3c8-0d2d-4322-9e92-06ba2ac0023b&= quot;]}],"mendeley":{"formattedCitation":"(Pinzón, Hidalgo-Leiva, et al., 2024; Pinzón, Pujades, Hidalgo-leiva, et al., 2018)","plainTextFormattedCitation":"(Pinzón, Hidalgo-Leiva, et al., 2024; Pinzón, Pujades, Hidalgo-leiva, et al., 2018)"},"properties":{"noteIndex":0},"schema&= quot;:"https://github.com/citation-style-language/schema/raw/master/cs= l-citation.json"}(Pinzón, Hidalgo-Leiva, et al., 2024; Pinzón, = Pujades, Hidalgo-leiva, et al., 2018)Localización del sismo<= /span>

= Esta funcionalidad facilita una interpretación rápi= da de la relación espacial entre la fuente sísmica y la estación, lo cual resu= lta especialmente útil para evaluar los efectos locales del sismo. Asimismo, representa una herramienta valiosa para sistemas de alerta temprana, monito= reo en tiempo real y estudios posteriores de correlación entre la intensidad observada y la distancia al epicentro (leyes de atenuación).

Figura . Mapa generado automáticamente con ubicación= de estación, epicentro y distancia epicentral del evento del 8 de julio de 20= 24.=

Conclusiones =

El desarrollo de RAPID-SIS respo= nde a una necesidad crítica en el ámbito del monitoreo sísmico: disponer de = una herramienta confiable, rápida y accesible que permita procesar y analizar registros acelerográficos de forma automatizad= a. Integrada al ecosistema de la Red Acelerográfica de Panamá (RAP), la herramienta ha demostrado su utilidad práctica en contex= tos de validación científica, respuesta a emergencias y evaluación estructural.=

RAPID-SIS destaca por su capacid= ad para generar informes técnicos completos y estandarizados en segundos, incluyendo datos clave como PGA, PGV, PGD, espectros de respuesta, hodogramas y mapas de localización. Además, ofrece = acceso a los registros corregidos, lo que amplía su valor para análisis más detal= lados o estudios complementarios.

El sistema ha mostrado eficienci= a, precisión y escalabilidad, y está diseñado para integrarse fácilmente c= on plataformas de monitoreo en tiempo real o sistemas de alerta temprana. Como líneas de trabajo futuras se propone: a) incorporar la herramienta al mód= ulo de detección automática de eventos sísmicos mediante análisis en tiempo re= al, b) ampliar el conjunto de métricas calculadas, incluyendo duración significa= tiva, intensidad espectral y energía acumulada, entre otras, y c) desarrollar una interfaz web de acceso público y un repositorio centralizado de informes procesados.

En conjunto, estas mejoras permi= tirán consolidar a RAPID-SIS como una herramienta de referencia para el monitoreo= y análisis sísmico en Panamá y la región.

=

= Agradecimientos

Este proyecto f= ue apoyado por la Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT) a través del proyecto SARA (063-2025).

=

= Conflicto de intereses

= Los autores declaran no tener conflicto de intereses.

Referencias <= span lang=3DES style=3D'font-size:10.0pt;font-family:"Times New Roman",serif;mso= -fareast-font-family: "Gill Sans MT";mso-ansi-language:ES'>

Hidalgo-Leiva, D. A., Linkimer, L= ., Arroyo, I. G., Arroyo-Solórzano, M., Piedra, R., Climent, A., Schmidt Día= z, V., Esquivel, L. C., Alvarado, G. E., Castillo, R., Carranza-Morales, M. E., Cerdas-Guntanis, L., Escalante-Meza, J., Lobo, S., Rodríguez, M. J., & Rojas, W. (2023). The 2022 Seism= ic Hazard Model for Costa Rica. Bulletin of the Seismological Society of America, 113(1), 23–40. https://doi.org/10.1785/0120220119

Moya-Fernández, A., Pinzón, L. A., Schmidt-Díaz, V., Hidalgo-Leiva,= D. A., & Pujades, L. G. (2020). A Strong-Motion Database of Costa Rica: 20 Yr of Digital Records. S= eismological Research Letters, 91(6), 3407–3416. https://doi.org/10.1785/0220200036

Pinzón, L. A., Hidalgo-Leiva, D. A., & Pujades, L. G. (2024). Correction Factors to Account for Seismic Directionality Effects: Case Study of the Costa Rican Strong Motion Database. Geosciences, 14, 139. https://www.mdpi.com/2076-3263/14/5/139

Pinzón, L. A., Leiva, D. A. H., Moya-Fernández, A., Schmidt-Díaz, V= ., & Pujades, L. G. (2021). Seismic site classification of the Costa Rican Strong-Motion Network b= ased on VS30 measurements and site fundamental period. Earth Sciences Research Journal, 25(4), 383–389. https://doi.org/doi.org/10.15446/esrj. v25n4.93927

Pinzón, L. A., Pujades, L. G., Diaz, S. A., & Alva, R. E. (2018).= Do Directionality Effects Influence Expected Damage? A Ca= se Study of the 2017 Central Mexico Earthquake. Bulletin of the Seismologic= al Society of America, 108(5A), 2543–2555. https://doi.org/10.178= 5/0120180049

Pinzón, L. A., Pujades, L. G., Hidalgo-leiva, D. A., & Díaz, S. = A. (2018). Directionality models from ground motions of Italy. Ingegneria Sismica, 35(3= ), 43–63.

Pinzón, L. A., Pujades, L. G., Macau, A., Carreño, E., & Alcalde, J. M. (2019). Seism= ic Site Classification from the Horizontal-to-Vertical Response Spectral Ratio= s: Use of the Spanish Strong-Motion Database. Geosciences, 9(7), 294. https://doi.org/10.3390/geosciences9070294

Pinzón, L. A., Pujades, L. G., Medranda, I., & Alva, R. E. (2021)= . Case Study of a Heavily Damaged Building during the 2016 = MW 7.8 Ecuador Earthquake: Directionality Effects in Seismic Actions and Damage Assessment. Geosciences, 11(2), 74.

Pinzón, L. A., Vargas, Y., & Hidalgo-Leiva, D. A. (2024). = A Report of the Observed Intensity and Structural Damage during the Mw 5.3 Earthquake in Santo Domingo (Province of Chiriquí, Panam= á) on 8 July 2024. Geosciences, 14, 216. https://doi.org/doi.org/10.3390/geosciences14080216

Rockwell, T., Gath, E., González, T., Madden, C., Lippincott, C., Dawson, T., Owen, L. A= ., & Fuchs, M. (2010). Neotectonics and Paleoseismology of the Limón a= nd Pedro Miguel Faults in Panamá : Earthquake Hazard to the Panamá Canal. 100(6), 3097–3129. https://doi.org/10.1785/0120090342

Universidad Católica Santa María La Antigua. (2024). Red Acelerog= ráfica de Panamá. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/X7XF-JB= 43

Viens, L., &am= p; Denolle, M. A. (2019). Long-period ground motions from past and virtual megathrust earthquakes along the nankai trough, Japan. Bulletin of the Seismological Society of America, 109(4), 1312–1330. https://doi.org/10.1785/0120180320
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= Iglesias, et al. DOI: https://doi.org/10.37387/ipc.v13i3.424

<= o:p>

Iglesias, et al. DOI: https://doi.org/= 10.37387/ipc.v13i3.424=

= 14

Invest. pens. crit, 2025, 13 (3), 125-134

= 15

Invest. pens. crit, 2025, 13 (3), 125-134

Invest. Pens. Crit. (ISSN 1812-3864; eISSN 2644-4119)
Vol. 13,= No. 3, Septiembre – Diciembre 2025. pp. 125-134 <= /p>
DOI: https://d= oi.org/10.37387/ipc.v13i3.424

Artículo Científico

&n= bsp;

= 4

Invest. pens. crit, 2025, 13 (3), 125-134

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