A methodology for evacuation route planning inside buildings using geospatial technology

Evacuation route planning is a fundamental task for building engineering projects. Safety regulations are established so that all occupants are driven on time out of a building to a secure place when faced with an emergency situation. As an example, Spanish building code requires the planning of evacuation routes on large and, usually, public buildings. Engineers often plan these routes on single building projects, repeatedly assigning clusters of rooms to each emergency exit in a trial-and-error process. But problems may arise for a building complex where distribution and use changes make visual analysis cumbersome and sometimes unfeasible. This problem could be solved by using well-known spatial analysis techniques, implemented as a specialized software able to partially emulate engineer reasoning. In this paper we propose and test an easily reproducible methodology that makes use of free and open source software components for solving a case study. We ran a complete test on a building floor at the University of Alicante (Spain). This institution offers a web service (WFS) that allows retrieval of 2D geometries from any building within its campus. We demonstrate how geospatial technologies and computational geometry algorithms can be used for automating the creation and optimization of evacuation routes. In our case study, the engineers’ task is to verify that the load capacity of each emergency exit does not exceed the standards specified by Spain’s current regulations. Using Dijkstra’s algorithm, we obtain the shortest paths from every room to the most appropriate emergency exit. Once these paths are calculated, engineers can run simulations and validate, based on path statistics, different cluster configurations. Techniques and tools applied in this research would be helpful in the design and risk management phases of any complex building project.

Paracetamol vs ibuprofeno para el dolor de la episiotomía en las 42 horas postparto

Objetivo: Evaluación de la eficacia analgésica para el dolor de la episiotomía entre el paracetamol y el Ibuprofeno, en las primeras 42 horas postparto. Método: Estudio cuasi-experimental (prospectivo y simple ciego) en mujeres que dieron a luz en el HOSPITAL UNIVERSITARIO CENTRAL DE ASTURIAS (OVIEDO), excluyendo alérgicas, patologías asociadas ó aquellas que el idioma impidiese un correcto entendimiento. Dos grupos: 1) Paracetamol 1 gr; 2) Ibuprofeno 600 mg. Tamaño de muestra: 110 por grupo para alcanzar mínimo de 80. Variable principal: grado de dolor según puntuación de escala (0 a 3). Otras variables: edad de paciente, semanas de gestación, peso neonatal, paridad, inicio del parto, anestesia epidural, tipo de parto, desgarro, inflamación y enrojecimiento, hematoma, hemorroides, necesidad de sondaje evacuador, aplicación de hielo y solicitud de analgesia. Tamaño final de la muestra: 88 grupo paracetamol y 97 grupo ibuprofeno. La escala de dolor se midió a las 2 horas postparto (previo al tratamiento) y, posteriormente, cada 8 hasta 42 horas. Se realizó análisis descriptivo y comparación entre grupos. Resultados: No encontramos diferencias significativas en la escala de dolor entre ambos fármacos, ni en los subgrupos analizados, salvo en el subgrupo de partos eutócicos, donde el ibuprofeno fue superior al paracetamol. En el global de la serie, el grupo de paracetamol solicitó hielo y otra medicación con mayor frecuencia que el grupo de ibuprofeno. Conclusiones: El ibuprofeno 600 mg y el paracetamol de 1 gr obtienen una respuesta similar en las primeras 42 horas postparto, si bien el ibuprofeno parece tener algunas ventajas adicionales.

Changes in the storage and sink of carbon dioxide in subsurface atmospheres controlled by climate-driven processes: the case of the Ojo Guareña karst system

A comprehensive environmental monitoring program was conducted in the Ojo Guareña cave system (Spain), one of the longest cave systems in Europe, to assess the magnitude of the spatiotemporal changes in carbon dioxide gas (CO2) in the cave–soil–atmosphere profile. The key climate-driven processes involved in gas exchange, primarily gas diffusion and cave ventilation due to advective forces, were characterized. The spatial distributions of both processes were described through measurements of CO2 and its carbon isotopic signal (δ13C[CO2]) from exterior, soil and cave air samples analyzed by cavity ring-down spectroscopy (CRDS). The trigger mechanisms of air advection (temperature or air density differences or barometric imbalances) were controlled by continuous logging systems. Radon monitoring was also used to characterize the changing airflow that results in a predictable seasonal or daily pattern of CO2 concentrations and its carbon isotopic signal. Large daily oscillations of CO2 levels, ranging from 680 to 1900 ppm day−1 on average, were registered during the daily oscillations of the exterior air temperature around the cave air temperature. These daily variations in CO2 concentration were unobservable once the outside air temperature was continuously below the cave temperature and a prevailing advective-renewal of cave air was established, such that the daily-averaged concentrations of CO2 reached minimum values close to atmospheric background. The daily pulses of CO2 and other tracer gases such as radon (222Rn) were smoothed in the inner cave locations, where fluctuation of both gases was primarily correlated with medium-term changes in air pressure. A pooled analysis of these data provided evidence that atmospheric air that is inhaled into dynamically ventilated caves can then return to the lower troposphere as CO2-rich cave air.