Luis Angel Moya Huallpa

Pontifical Catholic University of Peru | PUCP · Department of Engineering

Volcanic events with an important affectation of urban areas and other land areas with important human activity have been rare in Europe in the past century. This has led to a lack of comprehensive analysis of the social, economic and environmental damages that these types of events can cause on specific human communities. In the present study, we...

Earthquakes injure millions and simultaneously disrupt the infrastructure to protect them. This perspective argues that the current post-disaster investigation paradigm is insufficient to protect communities’ health effectively. We propose the Earthquake Survival Chain as a framework to change the current engineering focus on infrastructure to heal...

The conjunction of seismic records and site effect parameters can lead to the adequate estimation of seismic indexes in urban areas. In this regard, this study uses the map of soil amplification factors obtained in previous studies and the availability of time history waveforms at different locations throughout Metropolitan Lima and Callao to estim...

Damage identification soon after a large-magnitude earthquake is a major problem for early disaster response activities. The faster the damaged areas are identified, the higher the survival chances of inhabitants. Current methods for damage identification are based on the application of artificial intelligence techniques using remote sensing data....

An Mw 7.8 earthquake occurred at a depth of 17.9 km and with epicenter coordinates 37.174°N 37.032°E near the city of Nurdağı in the Gaziantep province of Türkiye at about 4:17 AM local time on February 6, 2023. As a result of this sequence of earthquakes and aftershocks, around 28,500 buildings partially or completely collapsed, while another 66,0...

Floods increase every year worldwide, and prompt information about the affected areas is essential for early disaster response. There has been extensive development in applying remote sensing data to identify floods. In fact, remote sensing data are the only tool to identify the extent of large-scale floods within hours after their occurrence. Howe...

In recent years, the development of seismic networks in Metropolitan Lima, administrated by public and private institutions, has received special attention since it makes possible the quantification of different seismic indexes under the occurrence of earthquakes. Therefore, the integration of the information both from acceleration sensors and site...

The 2010 Merapi Volcano eruptions caused significant damage in the Sleman Regency of Yogyakarta, Indonesia. Several households (HHs) were relocated to safely designated areas, but to sustain their livelihoods they have to travel back to their farmlands or change their identities as farmers. This study evaluates post-disaster mobility, aiming to cla...

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 a...

Disaster risk analysis involves a set of disaster events, their consequences, and their probabilities of occurrence over a defined period. The main, or traditional role of disaster risk is to serve as a guide for decisions about safety. Whether the infrastructure requires retrofitting or whether having insurance is cost-effective are such examples....

Emergency responders require accurate and comprehensive data to make informed decisions. Moreover, the data should be acquired and analyzed swiftly to ensure an efficient response. One of the tasks at hand post-disaster is damage assessment within the impacted areas. In particular, building damage should be assessed to account for possible casualti...

Lima city, 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 uns...

When flooding occurs, Synthetic Aperture Radar (SAR) imagery is often used to identify flood extent and the affected buildings for two reasons: (i) for early disaster response, such as rescue operations, and (ii) for flood risk analysis. Furthermore, the application of machine learning has been valuable for the identification of damaged buildings....

Evacuation is considered the most important and effective method to save human lives in case of a tsunami. In recent years, significant efforts have been carried out to examine evacuation through computer-based models; nevertheless, challenges remain on examining the accuracy of these models in simulating real-world populations' behavior. Along the...

Previous applications of machine learning in remote sensing for the identification of damaged buildings in the aftermath of a large-scale disaster have been successful. However, standard methods do not consider the complexity and costs of compiling a training data set after a large-scale disaster. In this article, we study disaster events in which...

For effective disaster relief decision-making, responders require extensive and rapid information on the damage situation in affected areas. Areas with unknown conditions pose a high risk of injury, and working on the ground limits the coverage and speed of information acquisition. An alternative is to exploit aerial observations and, in particular...

Applications of machine learning on remote sensing data appear to be endless. Its use in damage identification for early response in the aftermath of a large-scale disaster has a specific issue. The collection of training data right after a disaster is costly, time-consuming, and many times impossible. This study analyzes a possible solution to the...

Change detection between images is a procedure used in many applications of remote sensing data. Among these applications, the identification of damaged infrastructures in urban areas due to a large-scale disaster is a task that is crucial for distributing relief, quantifying losses, and rescue purposes. A crucial consideration for change detection...

We developed tsunami fragility functions using three sources of damage data from the 2018 Sulawesi tsunami at Palu Bay in Indonesia obtained from (i) field survey data (FS), (ii) a visual interpretation of optical satellite images (VI), and (iii) a machine learning and remote sensing approach utilized on multisensor and multitemporal satellite imag...

Tsunamis are rare events compared with the other natural disasters, but once it happens, it can be extremely devastating to the coastal communities. Extensive inland penetration of tsunamis may cause the difficulties of understanding its impact in the aftermath of its generation. Therefore the social needs to technologies of detecting the wide impa...

Debris scattering is one of the main causes of road/street blockage after earthquakes in dense urban areas. Therefore, the evaluation of debris scattering is crucial for decision-makers and for producing an effective emergency response. In this vein, this paper presents the following: (1) Statistical data concerning the debris extent of collapsed b...

Debris scattering is one of the main causes of road/street blockage after earthquakes in dense urban areas. Therefore, the evaluation of debris scattering is crucial for decision makers and for producing an effective emergency response. In this vein, this article presents the following: (1) statistical data concerning the debris extent of collapsed...

Synthetic aperture radar (SAR) images have been used to map flooded areas with great success. Flooded areas are often identified by detecting changes between a pair of images recorded before and after a certain flood. During the 2018 Western Japan Floods, the change detection method generated significant misclassifications for agricultural targets....

With the remarkable progress in access to remote sensing imagery data, nowadays research very often utilizes more than one image. We are often able to use multitemporal, hyperspectral, and/or full polarization of microwave radar images. In addition, it has become the general consensus that texture analysis plays an important role in remote sensing....

The DIM2SEA research project aims to increase urban resilience to large-scale disasters. We are engaged in developing a prototype Dynamic Integrated Model for Disaster Management and Socioeconomic Analysis (DIM2SEA) that will give disaster officials, stakeholders, urban engineers and planners an analytic tool for mitigating some of the worst excess...

Remote sensing satellite imagery plays an important role in estimating collapsed buildings in the aftermath of a large-scale disaster. However, some previous methodologies are restricted to using specific radar sensors. Others methods, such as machine learning algorithms, require training data, which are extremely difficult to obtain immediately af...

A methodology to create synthetic earthquake-induced building damage states for urban areas in Japan under specific earthquake events is presented in this paper. The methodology is based on empirical fragility curves for Japanese buildings, the building database of the study area and the strong motion magnitude spatial distribution. A stochastic ap...

Although supervised machine learning classification techniques have been successfully applied to detect collapsed buildings, there is still a major problem that few publications have addressed. The success of supervised machine learning strongly depends on the availability of training samples. Unfortunately, in the aftermath of a large-scale disast...

The 2016 Kumamoto earthquake sequence was triggered by an Mw 6.2 event at 21:26 on 14 April. Approximately 28 h later, at 01:25 on 16 April, an Mw 7.0 event (the mainshock) followed. The epicenters of both events were located near the residential area of Mashiki and affected the region nearby. Due to very strong seismic ground motion, the earthquak...

The 2016 Kumamoto earthquake sequence was triggered by an Mw 6.2 event at 21:26 on April 14. Approximately 28 hours later, at 1:25 on April 16, an Mw 7.0 event (the mainshock) followed. The epicenters of both events were located 10 near the residential area of Mashiki town and the region nearby. Due to very strong seismic ground motion, the earthqu...

The estimation of building damage due to earthquakes is crucial for disaster management and disaster relief activities. So far, mainly two methodologies have being applied: (1) a combination of the spatial distribution of strong ground motion intensity and building damage functions; and (2) the application of change detection methodologies using sa...

The spatial distribution of the coseismic displacements that occurred along the Futagawa fault during the 2016 Kumamoto earthquake of Mw 7.0 was estimated using airborne light detection and ranging (lidar) data. In this study, a pair of digital surface models (DSMs) obtained from the high-density lidar data before and after the mainshock on 16 Apri...

The Global Navigation Satellite System (GNSS) has become an important technology with which to calculate the crustal deformation and displacement waves produced by earthquakes. In Japan, a dense GNSS network (GEONET) is available, with 1200 stations distributed uniformly throughout the country. Currently, relative positioning is one of the most pre...

On April 14, 2016 at 21:26, an Mw 6.5 earthquake occurred in Kumamoto prefecture, Japan. Soon after, about 28 hours later, another earthquake of Mw 7.1 occurred. Thus, the first event was designated as the foreshock and the second one as the mainshock. The both epicenters were located close to residential areas, such as Mashiki town, Kashima town,...

The spatial distribution of the coseismic displacements that occurred along the Futagawa fault during the 2016 Kumamoto earthquake of Mw 7.0 was estimated using airborne light detection and ranging (Lidar) data. In this study, a pair of digital surface models (DSMs) obtained from the high-density Lidar data before and after the mainshock on April 1...

The geodetic displacement produced in the near field of the Mw7.1 Kumamoto earthquake was calculated from a pair of digital surface models, before and after the earthquake, obtained from airborne LIDAR data. A window matching search approach based on the correlation coefficient between the two images was used for this purpose. Besides, the results...

An Mw6.2 earthquake hit northern Nagano prefecture, Japan on November 22, 2014, with 46 people injured and a lot of damage to houses. Due to the fault movement, about 1-m displacement was observed by field surveys after the earthquake. Interferomatic SAR (InSAR) analysis has been confirmed as an effective tool to detect displacements in the centime...

The displacement time histories and final geodetic displacements obtained from the double integration of acceleration records were compared with the data from the GNSS earth observation system (GEONET). Daily coordinates of GPS stations, which have an accuracy level of some millimeters, were used to evaluate final geodetic displacements. Besides, K...

Estimation of coseismic displacement during the 2011 Mw9.0 Tohoku-oki earthquake was estimated, by using strong motion seismographs and GNSS earth observation networks. We first evaluate the accuracy of the coseismic displacement obtained from strong motion record by comparing with the spatial distribution of the coseismic displacement from GPS, wh...

Strong motion seismometers and GNSS (Global Navigation Satellite System) earth observation networks cover uniformly the region of Japan. Since the availability of such amount of information is rare in other countries, good opportunity to compare coseismic displacements from acceleration records and GPS data is provided. Two events were chosen in th...

El objetivo de la presente investigación es automatizar el diseño sismo resistente en un proyecto de reforzamiento estructural usando técnicas de optimización. Precisando lo anterior, la tesis se centra en estructuras existentes que no cumplen los requisitos mínimos del código actual de diseño sismo resistente E.030, en las cuales se añadirán eleme...

The dynamic behavior of an unreinforced masonry wall is investigated through a shaking table test of two specimens. In order to represent a non-engineering one-story house, the first specimen consists of a C-shaped structure with masonry walls connected only at their ends. The second specimen is built to represent an upper story, so the C wall is c...

Dynamic behavior of unreinforced masonry wall was investigated through a shaking table test in which two specimens were prepared. In order to simulate non-engineering houses of one story, the first specimen consists of a C shaped structure, whose masonry walls are connected only by their ends. The second specimen was built to idealize an upper stor...