HySEA model verification for Tohoku 2011 Tsunami. Application for mitigation tsunami assessment

In many aspects Tohoku-Oki 2011 mega tsunami has changed our perception of tsunami risk. The tsunami-HySEA model is used to numerically simulate this event and observed data will we used to verify the model results. Three nested meshes of enhanced resolution (4 arc-min, 32 arc-sec and 2 arc-sec) will be used by the numerical model. The propagation mesh covers all Pacific Ocean with more of 7 million cells. An intermediate mesh with 5 millions cells contains the Japanese archipelago and, finally, two finer meshes, with nearly 8 and 6 millions cells, cover Iwate and Miyagi Prefectures at Tohoku region, the most devastated areas hit by the tsunami. The presentation will focus on the impact of the tsunami wave in these two areas and comparisons with observed data will be performed. DART buoys time series, inundation area and observed runup is used to assess model performance. The arrival time of the leading flooding wave at the vicinity of the Senday airport, as recorded by video cameras, is also used as verification data for the model. After this tsunami, control forests as well as breakwaters has been discussed as suitable mitigation infrastructures. As particular case, we will analyse the evolution of the tsunami in the area around the Sendai airport (Miyagi Prefecture) and its impact on the airport. A second simulation has been performed, assuming the existence of a coastal barrier protecting the area. The role of this barrier in modifying tsunami wave evolution and mitigating flooding effects on the airport area are discussed. The protection effect of the breakwaters near Kamaishi (Iwate Prefecture) is also assessed. The numerical model shows how these structures, although did not provide a full protection to tsunami waves, they helped to largely mitigate its effects in the area.Acknowledgements. This research has been partially supported by the Junta de Andalucía research project TESELA (P11-RNM7069), the Spanish Government Research project DAIFLUID (MTM2012-38383-C02-01) and Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech. The multi-GPU computations were performed at the Laboratory of Numerical Methods (University of Malaga)

Estudio de un sistema de supervisión remota de seguridad en edificaciones utilizando la red GPRS.

En este proyecto se realizó el estudio de un equipo de comunicaciones, que conjuntamente con la tecnología de los proveedores de telefonía y/o proveedores de internet que en la actualidad existen en el Ecuador, se lo puede usar en beneficio de la seguridad de bienes inmuebles, edificaciones o viviendas. Este equipo estará conectado ininterrumpidamente con el servicio de internet y con los distintos equipos tecnológicos que existan en la actualidad como son cámaras ip, sensores, etc. A este equipo se pueden realizar distintas aplicaciones, como son alertas mediante mensajes de textos, alertas mediante internet, el uso de estos equipos generará plazas de trabajo en las compañías de seguridades y mantendrá a los empleados actualizados con la tecnología que existe en la actualidad

Censo de dendrobates truncatus (anura, dendrobatidae) en la reserva forestal protectora serranía de coraza, montes de maría, sucre, colombia

Mediante la aplicación del transecto lineal (BURNHAM et al., 1980), iniciando desde la Estación Primates, municipio de Colosó, Sucre, Colombia, del 5 al 7 febrero de 2010, en un recorrido de 1000 m hacia el Norte del Arroyo Sereno, entre las coordenadas 9°31´51´´N, 75°20´59´´O y 9°32´18´´N, 75°20´42´´O, con un ancho de banda de 10 m en promedio (Fig. 1), se detectaron a simple vista 65 individuos de D. truncatus divididos, así: maduros 42 e inmaduros 23. La determinación de madurez en el campo fue comparativamente evidenciada por tamaño corporal, vocalizaciones, comportamiento reproductivo y defensa territorial (SILVERSTONE, 1975; CADWELL, 1996)

Population assessment of scallop Argopecten purpuratus (Lamarck, 1819) in the Lobos de Tierra Island, 2010

Entre el 14 y 23 de diciembre 2010, se efectuó la evaluación poblacional de la concha de abanico en la isla Lobos de Tierra, su distribución se registró entre 6°21’12,6”S y 6°24’12,6”S, (noreste de Cabo Cruz y sur de Juanchuquita) y entre 6°26’38,8”S y 6°27’18,4”S (sur de Roca Blanca y norte de El Ñopo) a profundidades de 14,3 a 26,3 m. La altura valvar varió entre 7 y 107 mm. El rango más amplio de tallas y la mayor talla media (69,9 mm), se presentó en el estrato III. Predominaron los ejemplares desovados (37,50%) y desovantes (28,41%). Las densidades fluctuaron entre 1 y 77 ejem.m-2, predominando el rango entre 1 a 10 ind.m-2. La biomasa total fue estimada en 4962,716 t y la población en 87,61 millones de individuos El stock de juveniles (≤25 mm) fue de 0,18 millones de ejemplares y 0,012 t. El stock explotable (≥65 mm) estuvo constituido por 53,81 millones de individuos (61,42%) y 3.725,81 t (75,08%) de la biomasa. Se observó alta mortandad de individuos entre 14 y 77 mm de altura valvar, distribuidos en áreas con niveles de oxígeno menores a 0,1 mL/L, que coincidieron con sustratos reducidos localizados frente a La Grama.ABSTRACT: Population assessment of scallop Argopecten purpuratus (Lamarck, 1819) in the Lobos de Tierra Island, 2010. Inf Inst Mar Peru. 42(3): 307-320.- In the Lobos de Tierra Island population assessment scallop was realized between 14 and 23th December 2010. It was distributed between 6°21’12,6”S and 6°24’12,6”S, (Northeast of Cabo Cruz and southern Juanchuquita) and between 6°26’38,8”S and 6°27’18,4”S (southern of Roca Blanca and northern of El Ñopo) at depths of 14.3 m to 26.3 m. The height ranged from 7 to 107 mm. The larger size range and higher average length (69.9 mm), was presented in stratum III. Spawned predominated (37.50%) and spawning (28.41%) specimens. The densities ranged between 1 and 77 ejem.m-2, dominating the range 1-10 ind.m-2. The total biomass was estimated at 4962.716 t, population of 87.61 million individuals. The stock of juvenile (≤25 mm) was 0.18 million and 0.012 t. The exploitable stock (≥65 mm) consisted of 53,810,000 individuals (61.42%) and 3,725. 81 t (75.08%) of biomass. High mortality of individuals between 14 and 77 mm in height distributed in areas with lower levels of oxygen at 0.1 mL/L, which coincided with reduced substrates located opposite La Grama was observed.Informe IMARPE;Vol. 42, N° 3, 2015 p. 307-320Instituto del Mar del Per

Analysis of soil images applying Laplacian Pyramidal techniques

The Laplacian pyramid is a technique for image encoding in which local operators of many scales but identical shape are the basis functions. Our work describes some properties of the filters of the Laplacian pyramid. Specially, we pay attention to Gaussian and fractal behaviour of these filters, and we determine the normal and fractal ranges in the case of single parameter filters, while studying the influence of these filters in soil image processing

XXXIX Jornadas de Automática

Producción CientíficaEn este artículo se presenta el desarrollo de un vehículo a escala que permite su conducción autónoma mediante el auto guiado a través de la detección de las marcas viales de la carretera. El vehículo se basa en un modelo de radiocontrol modificado al que se le ha añadido una cámara para la detección de marcas viales y semáforos, y un láser lidar para la detección de obstáculos. Además, incluye un procesador Odroid con sistema base Linux Ubuntu y ROS (Robot Operation System) [8] para el control de alto nivel, y un microcontrolador Arduino para el control de los motores. El sistema de control está basado en el modelo de arquitectura Subsumption en el que se incluyen tres módulos con diferentes niveles de prioridad. El seguimiento de marcas viales utiliza un algoritmo RANSAC para la detección de rectas y un sistema de control PID. El sistema de control incluye la detección de obstáculos y maniobras de adelantamiento, y la detección de semáforos. La arquitectura propuesta ha sido verificada en la edición 2017 de la Seat Autonomous Driving Challenge alcanzando la primera posición

Fractal analysis of laplacian pyramidal filters applied to segmentation of soil images

The laplacian pyramid is a well-known technique for image processing in which local operators of many scales, but identical shape, serve as the basis functions. The required properties to the pyramidal filter produce a family of filters, which is unipara metrical in the case of the classical problem, when the length of the filter is 5. We pay attention to gaussian and fractal behaviour of these basis functions (or filters), and we determine the gaussian and fractal ranges in the case of single parameter ?. These fractal filters loose less energy in every step of the laplacian pyramid, and we apply this property to get threshold values for segmenting soil images, and then evaluate their porosity. Also, we evaluate our results by comparing them with the Otsu algorithm threshold values, and conclude that our algorithm produce reliable test results

Use of Neural Networks for Tsunami Maximum Height and Arrival Time Predictions

Operational TEWS play a key role in reducing tsunami impact on populated coastal areas around the world in the event of an earthquake-generated tsunami. Traditionally, these systems in the NEAM region have relied on the implementation of decision matrices. The very short arrival times of the tsunami waves from generation to impact in this region have made it not possible to use real-time on-the-fly simulations to produce more accurate alert levels. In these cases, when time restriction is so demanding, an alternative to the use of decision matrices is the use of datasets of precomputed tsunami scenarios. In this paper we propose the use of neural networks to predict the tsunami maximum height and arrival time in the context of TEWS. Different neural networks were trained to solve these problems. Additionally, ensemble techniques were used to obtain better results.This work was funded by “Innovative ecosystem with artificial intelligence for Andalusia 20205” project of CEI Andalucía Tech and University of Málaga, UMA-CEIATECH-05. The numerical results presented in this work were performed with the computational resources provided by the Spanish Network for Supercomputing (RES) grants AECT-2020-1-0009 and AECT-2020-2-0001. Finally, this research has been partially supported by the Spanish Government research project MEGAFLOW (RTI2018-096064-B-C21), ChEESE project (EU Horizon 2020, grant agreement N. 823844), and eFlows4HPC project (funded by the EuroHPC JU under contract 955558 and the Ministerio de Ciencia e Innovación, Spain). Partial funding for open access charge: Universidad de Málag

HySEA: An operational GPU-based model for Tsunami Early Warning Systems

HySEA numerical model for the simulation of earthquake generated tsunamis is presented. The initial sea surface deformation is computed using Okada model. Wave propagation is computed using nonlinear shallow water equations in spherical coordinates, where coastal inundation and run-up are suitable treated in the numerical algorithm. Generation, propagation and inundation phases are all integrated in a single code and computed coupled and synchronously when they occur at the same time. Inundation is modelled by allowing cells to dynamically change from dry to wet and reciprocally when water retreats from wetted areas. Special effort is made in preserving model well-balanced (i.e. capturing small perturbations to the steady state of the ocean at rest). The GPU model implementation allows faster than real time (FTRT) simulation for real large-scale problems. The large speed-ups obtained make HySEA code suitable for its use in Tsunami Early Warning Systems. The Italian TEWS at INGV (Rome) has adopted HySEA GPU code for its National System. The model is verified by hindcasting the wave behaviour in several benchmark problems. Numerical results for an earthquake-generated tsunami in the Mediterranean Sea is presented and computing time analysed. The interest of using higher order methods, analysing numerical schemes from first order up to order five, in the context of TEWS, is also addressed. Tsunami codes do not usually use higher than second order methods. It is demonstrated that this should idea should be revised.This research has been partially supported by the Junta de Andalucía research project TESELA (P11-RNM7069), the Spanish Government Research project HySEA2 (MTM2009-11923) and Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech. The multi-GPU computations were performed at the Laboratory of Numerical Methods (University of Malaga)