Juan C. Montalvo‐Arrieta

Universidad Autónoma de Nuevo León

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Co-Authors

Xyoli Pérez‐Campos

Universidad Nacional Autónoma de México

Juan Alonso Ramírez Fernández

Universidad Autónoma de Nuevo León

Luis G. Ramos-Zúñiga

Universidad Autónoma de Nuevo León

Jorge A. Salinas‐Jasso

Universidad Autónoma de Nuevo León

Fernando Velasco-Tapia

Universidad Autónoma de Nuevo León

Víctor H. Espíndola

Universidad Nacional Autónoma de México

Rocío L. Sosa‐Ramírez

Universidad Autónoma de Nuevo León

Ignacio Navarro de León

Universidad Autónoma de Nuevo León

Víctor Alejandro Leal‐Cuellar

Universidad Autónoma de Nuevo León

Luis A. Gallardo

Center for Scientific Research and Higher Education at Ensenada

Cooperative Institutions

Universidad Nacional Autónoma de México

Universidad Autónoma de Nuevo León

Center for Scientific Research and Higher Education at Ensenada

Universidad Juárez Autónoma de Tabasco

Research Center on Earth Sciences

Instituto de Geociencias

Autonomous University of Queretaro

Autonomous University of Tamaulipas

NASA Earth Science

Lomonosov Moscow State University

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Evaluation of macroseismic intensities in Mexico from recent earthquakes using Â¿Sintió un sismo? (Did you feel it?)

Geofísica Internacional (2017)

Juan C. Montalvo‐Arrieta Rocío L. Sosa‐Ramírez Xyoli Pérez‐Campos

Macroseismic investigations with data collected through online surveys has acquired relevance in recent years. Its easy access and low cost allow assessments of the severity of an earthquake from its effects as observed by the population. Furthermore, it is possible to generate attenuation curves for a particular region, visualize the condition of the buildings from a zip code-averaged distribution map, and estimate possible site effects. In regions without a good coverage of seismic networks, macroseismic intensities have proved to be a substitute for instrumental data. In this paper intensity maps for four earthquakes in different regions of Mexico are presented, based on data from the database of Â¿Sintió un sismo? program, an online survey implemented in 2014. Less attenuation was found in areas considered tectonically stable than in those considered as active regions.

Code (set theory)

Intensity

10.22201/igeof.00167169p.2017.56.1.1732

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Citations (7)

The historical seismicity and prediction of ground motion in northeast Mexico

Journal of South American Earth Sciences (2007)

Iván N. Galván-Ramírez Juan C. Montalvo‐Arrieta

Strong ground motion

10.1016/j.jsames.2007.07.004

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Citations (19)

El Cuchillo Seismic Sequence of October 2013–July 2014 in the Burgos Basin, Northeastern Mexico: Hydraulic Fracturing or Reservoir‐Induced Seismicity?

Bulletin of the Seismological Society of America (2018)

Juan C. Montalvo‐Arrieta Xyoli Pérez‐Campos Luis G. Ramos-Zúñiga Edgar G. Paz‐Martínez Jorge A. Salinas‐Jasso

Research Article| September 25, 2018 El Cuchillo Seismic Sequence of October 2013–July 2014 in the Burgos Basin, Northeastern Mexico: Hydraulic Fracturing or Reservoir‐Induced Seismicity? Juan C. Montalvo‐Arrieta; Juan C. Montalvo‐Arrieta aUniversidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares – Cerro Prieto, Linares, Nuevo León 67700, Mexico City, Mexico, jmontalvoa87@gmail.com Search for other works by this author on: GSW Google Scholar Xyoli Pérez‐Campos; Xyoli Pérez‐Campos bUniversidad Nacional Autónoma de México, Instituto de Geofísica, Departamento de Sismología, Circuito de la Investigación s/n, Ciudad Universitaria, Coyoacán 04510, Mexico City, Mexico Search for other works by this author on: GSW Google Scholar Luis G. Ramos‐Zuñiga; Luis G. Ramos‐Zuñiga aUniversidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares – Cerro Prieto, Linares, Nuevo León 67700, Mexico City, Mexico, jmontalvoa87@gmail.com Search for other works by this author on: GSW Google Scholar Edgar G. Paz‐Martínez; Edgar G. Paz‐Martínez aUniversidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares – Cerro Prieto, Linares, Nuevo León 67700, Mexico City, Mexico, jmontalvoa87@gmail.com Search for other works by this author on: GSW Google Scholar Jorge A. Salinas‐Jasso; Jorge A. Salinas‐Jasso aUniversidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares – Cerro Prieto, Linares, Nuevo León 67700, Mexico City, Mexico, jmontalvoa87@gmail.com Search for other works by this author on: GSW Google Scholar Ignacio Navarro de León; Ignacio Navarro de León aUniversidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares – Cerro Prieto, Linares, Nuevo León 67700, Mexico City, Mexico, jmontalvoa87@gmail.com Search for other works by this author on: GSW Google Scholar Juan A. Ramírez‐Fernández Juan A. Ramírez‐Fernández aUniversidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares – Cerro Prieto, Linares, Nuevo León 67700, Mexico City, Mexico, jmontalvoa87@gmail.com Search for other works by this author on: GSW Google Scholar Author and Article Information Juan C. Montalvo‐Arrieta aUniversidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares – Cerro Prieto, Linares, Nuevo León 67700, Mexico City, Mexico, jmontalvoa87@gmail.com Xyoli Pérez‐Campos bUniversidad Nacional Autónoma de México, Instituto de Geofísica, Departamento de Sismología, Circuito de la Investigación s/n, Ciudad Universitaria, Coyoacán 04510, Mexico City, Mexico Luis G. Ramos‐Zuñiga aUniversidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares – Cerro Prieto, Linares, Nuevo León 67700, Mexico City, Mexico, jmontalvoa87@gmail.com Edgar G. Paz‐Martínez aUniversidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares – Cerro Prieto, Linares, Nuevo León 67700, Mexico City, Mexico, jmontalvoa87@gmail.com Jorge A. Salinas‐Jasso aUniversidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares – Cerro Prieto, Linares, Nuevo León 67700, Mexico City, Mexico, jmontalvoa87@gmail.com Ignacio Navarro de León aUniversidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares – Cerro Prieto, Linares, Nuevo León 67700, Mexico City, Mexico, jmontalvoa87@gmail.com Juan A. Ramírez‐Fernández aUniversidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares – Cerro Prieto, Linares, Nuevo León 67700, Mexico City, Mexico, jmontalvoa87@gmail.com Publisher: Seismological Society of America First Online: 25 Sep 2018 Online Issn: 1943-3573 Print Issn: 0037-1106 © Seismological Society of America Bulletin of the Seismological Society of America (2018) 108 (5B): 3092–3106. https://doi.org/10.1785/0120180165 Article history First Online: 25 Sep 2018 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Juan C. Montalvo‐Arrieta, Xyoli Pérez‐Campos, Luis G. Ramos‐Zuñiga, Edgar G. Paz‐Martínez, Jorge A. Salinas‐Jasso, Ignacio Navarro de León, Juan A. Ramírez‐Fernández; El Cuchillo Seismic Sequence of October 2013–July 2014 in the Burgos Basin, Northeastern Mexico: Hydraulic Fracturing or Reservoir‐Induced Seismicity?. Bulletin of the Seismological Society of America 2018;; 108 (5B): 3092–3106. doi: https://doi.org/10.1785/0120180165 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyBulletin of the Seismological Society of America Search Advanced Search Abstract We studied the origin of the seismic sequence from October 2013 to July 2014 (⁠2.8≤M≤4.5⁠; hereafter the El Cuchillo seismic sequence) that shook the central part of the Nuevo León state in northeastern Mexico. This swarm has been quite controversial because its origin has been attributed to hydraulic fracturing by the press and social groups. Nowadays, there is a great interest in explaining the causes of this seismicity, as it was located in the Burgos basin (BB), an ideal province for shale gas production. We evaluated two possible anthropogenic‐induced causes for this seismicity: (1) hydraulic fracturing to tight shale formations and (2) reservoir‐associated seismicity by filling artificial water reservoirs. We did not find any correlation between fluid injection and seismicity, because: (1) there is no correlation in time, (2) most of the epicentral distributions are located beyond 5 km from the known wells, and (3) the hypocenter depths vary from 1 to 20 km, whereas the depths of the wells are less than 3.1 km. For the reservoir‐associated seismicity case, the b‐value obtained from the Gutenberg–Richter relation is 1.08±0.1⁠, which is correlated with several cases of dam‐induced seismicity worldwide. The Pearson correlation obtained was 0.64, which outlines a positive linear relationship between the fluctuations of the water level and the El Cuchillo seismic sequence. The highest cross correlation derived (0.98) occurs relatively one month after the start of filling the reservoir, indicating a coincidence in time between the seismic activity and the fluctuations of the water level. Additionally, we estimated that pore pressures from the reservoir were approximately 100–250 kPa, adequate to induce M≥3.0 earthquakes in the area. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

Sequence (biology)

10.1785/0120180165

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Citations (10)

Relationship between MMI Data and Ground Shaking in the State of Nuevo León, Northeastern Mexico

Seismological Research Letters (2015)

Juan C. Montalvo‐Arrieta Rocío L. Sosa‐Ramírez Edgar G. Paz‐Martínez

Research Article| July 15, 2015 Relationship between MMI Data and Ground Shaking in the State of Nuevo León, Northeastern Mexico Juan C. Montalvo‐Arrieta; Juan C. Montalvo‐Arrieta Universidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares, Cerro Prieto, 67700 Linares, N.L., Méxicojmontalvoa87@gmail.com Search for other works by this author on: GSW Google Scholar Rocío L. Sosa‐Ramírez; Rocío L. Sosa‐Ramírez Universidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares, Cerro Prieto, 67700 Linares, N.L., Méxicojmontalvoa87@gmail.com Search for other works by this author on: GSW Google Scholar Edgar G. Paz‐Martínez Edgar G. Paz‐Martínez Universidad Autónoma de Nuevo León, Facultad de Ciencias de la Tierra, Ex‐Hacienda de Guadalupe km 8, Carr. Linares, Cerro Prieto, 67700 Linares, N.L., Méxicojmontalvoa87@gmail.com Search for other works by this author on: GSW Google Scholar Seismological Research Letters (2015) 86 (5): 1489–1495. https://doi.org/10.1785/0220140206 Article history first online: 14 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Juan C. Montalvo‐Arrieta, Rocío L. Sosa‐Ramírez, Edgar G. Paz‐Martínez; Relationship between MMI Data and Ground Shaking in the State of Nuevo León, Northeastern Mexico. Seismological Research Letters 2015;; 86 (5): 1489–1495. doi: https://doi.org/10.1785/0220140206 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySeismological Research Letters Search Advanced Search ABSTRACT In this article, we implement a web questionnaire (available in Spanish at the www.fct.uanl.mx, last accessed March 2014, as Encuesta sismo) to gather citizens' observations on felt earthquakes in an area of northeastern Mexico. We generated a seismic intensity map due to the fact that some events from the October 2013 to March 2014 seismic sequence (1.9≤Mc≤4.5) were recorded and felt in the region. This sequence occurred in the central area of the state of Nuevo León. The data obtained from this questionnaire and by interviewing people living near the epicentral area are useful for a rapid postearthquake evaluation. This is important because the maximum intensity values were of V–VI near the epicentral area. Finally, the attenuation curves obtained from our study proved to be similar to those for central and eastern United States. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

Carr

10.1785/0220140206

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Citations (9)

The effect of confinement due to COVID-19 on seismic noise in Mexico

Xyoli Pérez‐Campos Víctor H. Espíndola Daniel González-Ávila Betty Zanolli Fabila Víctor Hugo Márquez-Ramírez

Abstract. The world experienced the beginning of the COVID-19 pandemic by the end of 2019, beginning of 2020. Governments implemented strategies to contain it, most based on lockdowns. Mexico was not the exception. The lockdown was initiated in March 2020 and with it, a reduction on the seismic noise level was witnessed by the seismic stations of the national and the Valley of Mexico networks. Stations located in municipalities with more than 50,000 people usually experience larger seismic noise levels at frequencies between 1 to 5 Hz, associated with human activity. The largest noise levels are recorded in Mexico City, with the largest population in the country. The largest drop was observed in Hermosillo, Sonora, however, it was also the city with the fastest return to activities, which seems to correlate with a quick increase in confirmed COVID-19 cases. Mexico initiated a traffic-light system to modulate the re-opening of economic activities for each state. Therefore, since 1 June, noise levels reflect, in general, the colour of the state traffic light. Furthermore, the reduction in the noise level at seismic stations has allowed identification of smaller earthquakes without signal processing. Also, people in cities have perceived smaller or distant quakes.

Seismic Noise

Mexico city

Pandemic

10.5194/se-2020-204

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Citations (3)

Extension in geothermal fields between the Imperial and Mexicali Valleys revealed by 2D seismic imaging and joint gravity-aeromagnetic modeling

Geothermics (2020)

Carlos Simón Reyes-Martínez Mario González‐Escobar Juan C. Montalvo‐Arrieta Fernando Velasco-Tapia Uwe Jenchen

Reflection

Geophysical Imaging

Classification of discontinuities

Transtension

Basement

10.1016/j.geothermics.2020.101984

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Citations (3)

Cartografía de la clasificación sísmica de sitio en el área metropolitana de Monterrey, noreste de México

Boletín de la Sociedad Geológica Mexicana (2008)

Juan C. Montalvo‐Arrieta Patricia Cavazos-Tovar Ignacio Navarro de León Efraín Alva-Niño Francisco Medina-Barrera

Source

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Citations (1)

The MW 6.2 Punta Santa Elena (Coahuila-Zacatecas) earthquake of 28 April 1841, the largest documented pre-instrumental event and its implications on seismic hazard in Northeastern Mexico

Journal of Seismology (2021)

Rocío L. Sosa‐Ramírez Edgar G. Paz‐Martínez Juan C. Montalvo‐Arrieta

10.1007/s10950-021-09991-2

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Citations (5)

Structurally based joint inversion of electromagnetic, seismic and potential field data for improved classification and characterization: Field examples from the vadose zone

Exploration Geophysics (2010)

Luis A. Gallardo Juan C. Montalvo‐Arrieta

A key strategy to characterize subsurface materials is the integrative analysis of tomograms of several physical properties provided by different geophysical data. Among the recent strategies to produce these tomograms is the joint inversion. Unfortunately, most joint inversion techniques are based on hypothetical property relationships that hinder the site-specific property correlations that characterize individual materials. Differently, a recently developed cross-gradient joint inversion technique is underpinned by the hypothesis of structural resemblance and permits the coexistence of natural property correlations that provide the key to unravel the signatures of subsurface materials. In the present work, electromagnetic, seismic and potential field data are jointly inverted for several field sites with near surface targets. The results show not only a clearer disposition of the mapped units in structural terms, but also a sound evidence of their actual fluid-mineral characteristics. In general, the results demonstrate the power of analyzing multiple-property images when they are structurally consistent.

Potential field

10.1071/aseg2010ab069

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Citations (0)

A dynamic stability analysis for the Olinalá landslide, northeastern Mexico

Natural Hazards (2020)

Jorge A. Salinas‐Jasso Juan C. Montalvo‐Arrieta José R. Chapa-Guerrero

Hydrometeorology

Natural hazard

10.1007/s11069-020-03954-5

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Citations (2)