scholarly journals Outside Dynamic Evacuation Routes to Escape a Wildfire: A Prototype App for Forest Firefighters

2021 ◽  
Vol 13 (13) ◽  
pp. 7295
Author(s):  
Kerly Castro-Basurto ◽  
Freddy Jijon-Veliz ◽  
Washington Medina ◽  
Washington Velasquez
Keyword(s):  
Forest Fires ◽  
Atmospheric Pressure ◽  
Normal Range ◽  
Dynamic Event ◽  
Early Warning Mechanism ◽  
Safety Margins ◽  
Starting Point ◽  
Evacuation Routes ◽  
Event Based ◽  
Evacuation Route

This paper describes a prototype application to use different algorithms for creating optimal evacuation routes in the presence of a wildfire with a dynamic event-based update. The application uses a meteorological API that obtains real-time temperature, atmospheric pressure, humidity, speed, and wind direction of each location within an area using geographic coordinates (latitude and longitude) for creating a sensor network. The data are stored in a database for monitoring and visualization using the open-source platform Grafana, which includes an early warning mechanism that sends messages when it detects a temperature outside the normal range. Three different simulation scenarios were evaluated, varying the fire’s starting point coordinates and the evacuation route. The results show that the algorithm reacts to the presence of fire, maximizing safety margins even on longer evacuation routes. The prototype can be used to create an application to fight forest fires and safeguard rescue agents’ lives.

scholarly journals Development of Evacuation Route Planning Algorithm for Responding to Urban Forest Fires

2021 ◽  
Vol 21 (6) ◽  
pp. 63-70
Author(s):  
Jaehwan Kwak ◽  
Namgyun Kim ◽  
Man-Il Kim
Keyword(s):  
Forest Fires ◽  
Urban Forest ◽  
Route Planning ◽  
Basic Data ◽  
Distance Information ◽  
Planning Algorithm ◽  
Evacuation Routes ◽  
Evacuation Route Planning ◽  
Evacuation Route

The Gangwon region (Korea) is severely affected by forest fires, where approximately sixty-six wildfires have occurred over the last three years, which in turn have damaged 1299 ha of this region. Hence, it is necessary to develop schemes for reducing the damage caused by forest fires in Gangwon. In this study, we developed an algorithm for planning evacuation routes. The developed algorithm was applied to a virtual scenario for determining evacuation start points within the spread range of wildfires, fifteen evacuation routes were then determined for each start point, and the associated distance information was displayed. Furthermore, by employing the Naver Maps software, the obtained evacuation routes was compared and analyzed with respect to the route distance. We believe that the results obtained from this study can be used as basic data for making decisions to identify various evacuation routes.

scholarly journals 3D Building Evacuation Route Modelling and Visualization

2014 ◽  
Vol XL-2 ◽  
pp. 221-226 ◽  
Author(s):  
W. Chan ◽  
C. Armenakis
Keyword(s):  
Visual Representation ◽  
Multicriteria Decision Making ◽  
Building Evacuation ◽  
Emergency Responders ◽  
Spatial Risk ◽  
Risk Areas ◽  
Emergency Events ◽  
Evacuation Routes ◽  
Evacuation Route ◽  
Hierarchy Process

The most common building evacuation approach currently applied is to have evacuation routes planned prior to these emergency events. These routes are usually the shortest and most practical path from each building room to the closest exit. The problem with this approach is that it is not adaptive. It is not responsively configurable relative to the type, intensity, or location of the emergency risk. Moreover, it does not provide any information to the affected persons or to the emergency responders while not allowing for the review of simulated hazard scenarios and alternative evacuation routes. In this paper we address two main tasks. The first is the modelling of the spatial risk caused by a hazardous event leading to choosing the optimal evacuation route for a set of options. The second is to generate a 3D visual representation of the model output. A multicriteria decision making (MCDM) approach is used to model the risk aiming at finding the optimal evacuation route. This is achieved by using the analytical hierarchy process (AHP) on the criteria describing the different alternative evacuation routes. The best route is then chosen to be the alternative with the least cost. The 3D visual representation of the model displays the building, the surrounding environment, the evacuee’s location, the hazard location, the risk areas and the optimal evacuation pathway to the target safety location. The work has been performed using ESRI’s ArcGIS. Using the developed models, the user can input the location of the hazard and the location of the evacuee. The system then determines the optimum evacuation route and displays it in 3D.

scholarly journals Collaborative determination of flood shelter and evacuation route in a flooded area in Rumbai Subdistrict, Pekanbaru

2021 ◽  
Vol 331 ◽  
pp. 06004
Author(s):  
Bambang Sujatmoko ◽  
Rangga Fernando ◽  
Andy Hendri
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
The Other ◽  
Vacant Land ◽  
Road Materials ◽  
Simulation Parameter ◽  
Flooded Area ◽  
Evacuation Routes ◽  
Evacuation Route

Floods in Pekanbaru City have often hit the region along the Siak river, including the Rumbai subdistrict. Disasters such as floods have detrimental impacts on society, including a massive loss of lives. However, several strategies can minimize the impacts of flooding, including making a plan evacuation route mapping with Geographic Information Systems (GIS). This is a planning-based analysis of data using the algorithm djikstra for result pathways for efficient and effective evacuation. The evacuation routes involve seven simulation parameter modeling, specifically flood, length path, wide roads, road conditions, road materials, presence or absence of bridges, and the road’s direction. These parameters are processed using algoritma djikstra to generate the appropriate evacuation routes based on study area conditions. The analysis focuses on one evacuation route in Palas and the other six in Sri Meranti Village. The routes in Palas Village lead to the evacuation place of the Al-Jihad Mosque, while those in Sri Meranti Village heads to Al-Ikhlas Mosque, MDA Aula Rumbai, Nurul Haq Mosque, M Nurul Mosque, vacant land, and Stadium Parking Area.

Dynamic Event-Based Monitoring in a SOA Environment

2011 ◽  
pp. 498-506 ◽  
Author(s):  
Fabio Souza ◽  
Danilo Lopes ◽  
Kiev Gama ◽  
Nelson Rosa ◽  
Ricardo Lima
Keyword(s):  
Dynamic Event ◽  
Event Based

Beyond Smell-O-Vision: Possibilities for Smell-Based Digital Media

2017 ◽  
Vol 48 (4) ◽  
pp. 455-479 ◽  
Author(s):  
Jonas K. Olofsson ◽  
Simon Niedenthal ◽  
Marie Ehrndal ◽  
Marta Zakrzewska ◽  
Andreas Wartel ◽  
...  
Keyword(s):  
Digital Media ◽  
Visual Memory ◽  
Research Problem ◽  
Grid Pattern ◽  
Perceptual Training ◽  
Learning Games ◽  
Design Concepts ◽  
Starting Point ◽  
Memory Experiment ◽  
Event Based

Research Problem: The purpose of this research synthesis is to identify new opportunities for smell-enabled games based upon current olfactory research, and to present early game concepts that have emerged from our empirical assessments. Literature Review: We briefly summarize key projects in the history of scent technologies for film and media. Human-Computer Interaction researchers have also explored a number of uses for scent delivery in interactive digital media. Recent developments in olfactory psychology and neuroscience research suggest that a fruitful avenue for exploration is to develop learning games that expand olfactory capacity. Methodology: We have conducted two studies of computer-based perceptual and cognitive olfactory tasks. Mixture perception experiment: We designed a perceptual experiment where the task was to correctly estimate the intensity of odor components in a blend of coffee and tea. Blended odors were presented to 10 healthy adults by means of a computer-controlled olfactometer. Following each stimulation, the participant used a computer interface to estimate the intensity of components of the blend. Event-based memory experiment: We have developed a digital olfactory version of the children’s game “Memory.” The game interface consists of 32 white squares that are presented in a grid pattern on the screen and that, when participants click on them, triggers the release of one of eight possible smells from the olfactometer. Fifteen healthy adult participants were tested in 10 laboratory sessions distributed over three weeks. Results and Conclusions: Our empirical results suggest that smell training through learning games holds promise as a means of improving cognitive function. The results of our event-based memory experiment suggest that both olfactory and visual memory capacities might have benefitted from olfactory game training. The results of our mixture perception experiment indicate that binary odor mixtures might provide a suitable starting point for perceptual training, and we suggest that a smell-enabled game might include adaptive difficulty by progressively introducing more complex mixtures. We have used event-based memory and mixture perception as “olfactory targets” for game mechanic development, and present early design concepts for “Smelly Genes” and “Scenter.” Finally, we discuss future directions and challenges for this new, interdisciplinary research topic.

scholarly journals Algorithm to Predict the Rainfall Starting Point as a Function of Atmospheric Pressure, Humidity, and Dewpoint

Climate ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 131
Author(s):  
Alfonso Gutierrez-Lopez ◽  
Ivonne Cruz-Paz ◽  
Martin Muñoz Mandujano
Keyword(s):  
Early Warning ◽  
Atmospheric Pressure ◽  
Urban Areas ◽  
Early Warning System ◽  
Warning System ◽  
Forecast Model ◽  
Flood Damage ◽  
Precipitation Forecast ◽  
Rainfall Forecasting ◽  
Starting Point

Forecasting extreme precipitations is one of the main priorities of hydrology in Latin America and the Caribbean (LAC). Flood damage in urban areas increases every year, and is mainly caused by convective precipitations and hurricanes. In addition, hydrometeorological monitoring is limited in most countries in this region. Therefore, one of the primary challenges in the LAC region the development of a good rainfall forecasting model that can be used in an early warning system (EWS) or a flood early warning system (FEWS). The aim of this study was to provide an effective forecast of short-term rainfall using a set of climatic variables, based on the Clausius–Clapeyron relationship and taking into account that atmospheric water vapor is one of the variables that determine most meteorological phenomena, particularly regarding precipitation. As a consequence, a simple precipitation forecast model was proposed from data monitored at every minute, such as humidity, surface temperature, atmospheric pressure, and dewpoint. With access to a historical database of 1237 storms, the proposed model allows use of the right combination of these variables to make an accurate forecast of the time of storm onset. The results indicate that the proposed methodology was capable of predicting precipitation onset as a function of the atmospheric pressure, humidity, and dewpoint. The synoptic forecast model was implemented as a hydroinformatics tool in the Extreme Precipitation Monitoring Network of the city of Queretaro, Mexico (RedCIAQ). The improved forecasts provided by the proposed methodology are expected to be useful to support disaster warning systems all over Mexico, mainly during hurricanes and flashfloods.

scholarly journals Flood Evacuation Routes Based on Spatiotemporal Inundation Risk Assessment

Water ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2271
Author(s):  
Yoon Ha Lee ◽  
Hyun Il Kim ◽  
Kun Yeun Han ◽  
Won Hwa Hong
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Flood Risk Assessment ◽  
Flood Prediction ◽  
Prone Area ◽  
Auto Regressive ◽  
Flood Prone Area ◽  
Hazard Level ◽  
Evacuation Routes ◽  
Evacuation Route

For flood risk assessment, it is necessary to quantify the uncertainty of spatiotemporal changes in floods by analyzing space and time simultaneously. This study designed and tested a methodology for the designation of evacuation routes that takes into account spatial and temporal inundation and tested the methodology by applying it to a flood-prone area of Seoul, Korea. For flood prediction, the non-linear auto-regressive with exogenous inputs neural network was utilized, and the geographic information system was utilized to classify evacuations by walking hazard level as well as to designate evacuation routes. The results of this study show that the artificial neural network can be used to shorten the flood prediction process. The results demonstrate that adaptability and safety have to be ensured in a flood by planning the evacuation route in a flexible manner based on the occurrence of, and change in, evacuation possibilities according to walking hazard regions.

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