Prof. Miguel Estrada
Civil Engineering, Universidad Nacional de Ingenieria, Lima, Peru
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Academic Career Length
15Years (2012-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 March 2013 in Journal of Disaster Research
Journal Article
MMMasashi Matsuoka
Masashi MatsuokaMiguel EstradaWith the aim of developing a model for estimating building damage from synthetic aperture radar (SAR) data in the L-band, which is appropriate for Peru, we propose a regression discriminant function based on field survey data in Pisco, which was seriously damaged in the 2007 Peru earthquake. The proposed function discriminates among damage ranks corresponding to the severe damage ratio of buildings using ALOS/PALSAR imagery of the disaster area before and after the earthquake. By calculating differences in and correlations of backscattering coefficients, which were explanatory variables of the regression discriminant function, we determined an optimum window size capable of estimating the degree of damage more accurately. A normalized likelihood function for the severe damage ratio was developed based on discriminant scores of the regression discriminant function. The distribution of the severe damage ratio was accurately estimated, furthermore, from PALSAR imagery using data integration of the likelihood function with fragility functions in terms of the seismic intensity of the earthquake.
1 December 2014 in Journal of Disaster Research
Journal Article
THTomoyo Hoshi
Tomoyo Hoshi
OMOsamu Murao
Osamu Murao
KYKunihiko Yoshino
Kunihiko Yoshino
Fumio YamazakiMiguel EstradaPisco was the area most damaged by the 2007 Peru earthquake. The purpose of this research is to develop possibilities of using satellite imagery to monitor postdisaster urban recovery processes, focusing on the urban change in Pisco between 2007 and 2011. To this end, the authors carried out field surveys in the city in 2012 and 2013 and also examined previous surveys to determine that building reconstruction peaked between 2008 and 2009. After analyzing the five-year recovery process, the authors compared its reconstruction conditions by visual interpretation with those by image analysis using satellite image. An accuracy of 71.2% was achieved for the visual interpretation results in congested urban areas, and that for developed districts was about 60%. The result shows that satellite imagery can be a useful tool for monitoring and understanding post-disaster urban recovery processes in the areas in which conducting long-term field survey is difficult.
16 December 2017 in Pure and Applied Geophysics
Journal Article
Bruno AdrianoYFYushiro Fujii
Yushiro Fujii
Shunichi KoshimuraEMEric MAS
Eric MASARAngel Ruiz-Angulo
Angel Ruiz-AnguloMiguel EstradaOn September 8, 2017 (UTC), a normal-fault earthquake occurred 87 km off the southeast coast of Mexico. This earthquake generated a tsunami that was recorded at coastal tide gauge and offshore buoy stations. First, we conducted a numerical tsunami simulation using a single-fault model to understand the tsunami characteristics near the rupture area, focusing on the nearby tide gauge stations. Second, the tsunami source of this event was estimated from inversion of tsunami waveforms recorded at six coastal stations and three buoys located in the deep ocean. Using the aftershock distribution within 1 day following the main shock, the fault plane orientation had a northeast dip direction (strike \(= 320^{\circ }\), dip \(= 77^{\circ }\), and rake \(=-92^{\circ }\)). The results of the tsunami waveform inversion revealed that the fault area was 240 km × 90 km in size with most of the largest slip occurring on the middle and deepest segments of the fault. The maximum slip was 6.03 m from a 30 × 30 km2 segment that was 64.82 km deep at the center of the fault area. The estimated slip distribution showed that the main asperity was at the center of the fault area. The second asperity with an average slip of 5.5 m was found on the northwest-most segments. The estimated slip distribution yielded a seismic moment of \(2.9 \times 10^{21}\) Nm (Mw = 8.24), which was calculated assuming an average rigidity of \(7\times 10^{10}\) N/m2.
1 December 2014 in Journal of Disaster Research
Journal Article
Bruno AdrianoEMEric MAS
Eric MASShunichi KoshimuraMiguel EstradaCJCesar Jimenez
Cesar Jimenez
UFUniversidad Nacional Mayor de San Marcos (Unmsm) Fenlab
Universidad Nacional Mayor de San Marcos (Unmsm) Fenlab
+1
The implementation of adequate urban development and measures systems against tsunami impact in coastal communities is improved by understanding damage probability among building structures. Within the framework of the project Enhancement of Earthquake and Tsunami Disaster Mitigation Technology in Peru (JST-JICA SATREPS), the authors analyze the damage probability of building structures due to tsunami impact in the Callao region of Peru. Two different tsunami hazard scenarios are assumed in assessing building damage probability. The first tsunami scenario represents the worse-case scenario of tsunami inundation that calculates the envelop of maximum inundation depth and flow velocity values from 12 probabilistic megathrust earthquake scenarios for central Peru. The second tsunami scenario corresponds to a historical tsunami event in this region. We apply a methodology for evaluating different levels of building damage by combining tsunami numerical results and tsunami fragility functions. Damage probability was analyzed in detail on a single building scale in the La Punta district. For the rest of Callao region, analysis was performed on a block-unit scale. Our results suggest that approximately 30% of submerged building may be washed away by tsunami inundation in the probabilistic hazard scenario and approximately 60% in the historical hazard scenario.
1 March 2013 in Journal of Disaster Research
Journal Article
MMMasashi Matsuoka
Masashi Matsuoka
Hiroyuki MiuraSMSaburoh Midorikawa
Saburoh Midorikawa
Miguel EstradaLima City, Peru, is, like Japan, on the verge of a strike by a massive earthquake. Building inventory data for the city need to be created for earthquake damage estimation, so the city was subjected to the extraction of spatial distribution of building age from Landsat satellite time-series images and an assessing building height from ALOS/PRISM images. Interband calculation of Landsat time-series images gives various indices relevant to land covering. The transition of indices was evaluated to clarify urban sprawl taking place in the northern, southern, and eastern parts of Lima City. Built-up area data were created for buildings by age. The height of large-scale mid-to-highrise buildings was extracted by applying spatial filtering for a DSM (Digital Surface Model) generated from stereovision PRISM images. As a result, buildings with a small square measure, color similar to that of their surroundings, or complicated shapes turned out to be difficult to detect.
12 January 2022 in Natural Hazards and Earth System Sciences
Journal Article
Luis Moya
Fernando GarciaCGCarlos Gonzales
Carlos Gonzales
MDMiguel Diaz
Miguel DiazCZCarlos Zavala
Carlos Zavala
Bruno Adriano +4
Lima, Peru's capital, has about 9.6 million inhabitants and keeps attracting more residents searching for a better life. Many citizens, without access to housing subsidies, live in informal housing and shack settlements. A typical social phenomenon in Lima is the sudden illegal occupation of areas for urban settlements. When such areas are unsafe against natural hazards, it is important to relocate such a population to avoid significant future losses. In this communication, we present an application of Sentinel-1 synthetic aperture radar (SAR) images to map the extension of a recent occupation of an area with unfavorable soil conditions against earthquakes.
About Me
Civil Engineer from the National University of Engineering, Master of Science and PhD. in Civil Engineering from the University of Tokyo and Post-Doctorate at the University of Chiba, Japan. He has held the positions of Minister of Housing, Construction and Sanitation, Executive President of the National Training Service for the Construction Industry - SENCICO, General Director of the Peruvian-Japanese Center for Seismic Research and Disaster Mitigation - CISMID, member of the Board of Directors of the Potable Water and Sewerage Service of Lima - SEDAPAL and of the Board of Directors of the National Fund for Financing of State Business Activity - FONAFE, full member of the Research Committee of the Research Institute of the FIC, Head of the Academic Department of Roads and Geomatics of the Faculty of Civil Engineering of the UNI, member of the Board of Directors of the Civil Engineering Chapter of the College of Engineers of Peru, Departmental Council of Lima. He is currently a Research Professor at the National University of Engineering, a professor of the Master's Degree in Transportation and Disaster Risk Management at the UNI Graduate School and at the undergraduate schools of Civil Engineering (FIC) at UNI and Ricardo Palma University, Principal Investigator at the Japanese-Peruvian Center for Seismic Research and Disaster Mitigation CISMID - UNI, UNI representative to the Peruvian Network for Asia - Pacific Studies REDAP.
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