scholarly journals Cfd study of effect of water drop by aerial firefighting to protect forest fire growth

Author(s):  
Koyu Satoh ◽  
et. al.
Author(s):  
Kohyu Satoh ◽  
Kunio Kuwahara ◽  
K. T. Yang

Forest fires are of common occurrence all over the world, which cause severe damages to valuable natural resources and human lives. In the recent California Fire, which burned 300,000 hectors of land, the disaster danger could reasonably be predicted, but early control of fires by means of aerial fire fighting might have been failed in that situation. Also in Japan, there are similar problems in the aerial fire fighting. Most forest fires occur in the daytime and the fires are freely in progress without any control during the nighttime. Therefore, it is important to attack the fires when there is daylight. The water dropped by helicopters is not always sufficient to control fires, since the quantity of water that can be carried aloft is a critical issue. Large amount of water can be dropped from aircrafts, but the high-speed flight of aircrafts may be dangerous in the mountain, where tall trees and steel towers with electric wires may exist. Therefore, those aircrafts have to fly at much higher altitudes than helicopters, while the water drop at high altitudes changes water into mist in the air. The objective of this study is to examine the methods to prevent the ignition by firebrands in the downwind area by applying water through the aerial fire fighting. However, tests by real aircrafts to obtain such information would be too costly. Therefore, the patterns of water drop from aircrafts were examined in CFD simulations, together with the investigation of needed water drop rate based on the forest fire statistics, the previous real aircraft tests and laboratory experiments. It has been found in the simulations that the water supply with the water density of 2 L/m2 is effective to control fires and the patterns of dropping water are reasonable.


1984 ◽  
Vol 14 (4) ◽  
pp. 589-594
Author(s):  
Yash P. Aneja ◽  
Mahmut Parlar

This paper deals with finding the optimal size of a forest fire fighting organization. Fire occurrence and fire growth rate are assumed to be random variables with given probability densities. An objective function representing the expected cost is developed by using probabilistic arguments. The resulting nonlinear programming problem with nonnegativity constraints is solved and an extensive sensitivity analysis is presented for cost related and noncost parameters of the problem.


1989 ◽  
Vol 19 (11) ◽  
pp. 1496-1500
Author(s):  
R. S. McAlpine

Elliptical fire growth models are dependant on a relationship between the length to width ratio of the ellipse and the prevailing wind speed. A laboratory study of point source fires growing in two fuel types (Ponderosa Pine (Pinusponderosa Laws.) needle litter and excelsior) showed that the length to width ratio changes from the time of inception until a stabilized "equilibrium" eccentricity is established. The size of fuel bed required to allow stabilization of the length to width ratio is dependant on wind speed. Results indicate that a fuel bed 0.93 m wide is insufficient to allow length to width ratio stabilization for wind speeds above 1.6 km/h.


1999 ◽  
Vol 9 (2) ◽  
pp. 129 ◽  
Author(s):  
Gary L. Hufford ◽  
Herbert L. Kelley ◽  
Raymond K. Moore ◽  
Jeffrey S. Cotterman

The utility of the new GOES-9 satellite 3.9 µm channel to monitor wildfires and their subsequent changes in growth and intensity in Alaska is examined. The June, 1996 Miller’s Reach forest fire is presented as a case study. Eighteen hours of sequential imagery coincident to the initiation and early stages of the fire are analyzed for hot spots. The dramatic response of the 3.9 µm channel to sub-pixel hot spots and the ability to access the data every 15 minutes makes the channel an effective tool to support forest fire management on wildfires in high latitudes to at least 61°N. In the case of Miller’s Reach, the fire was detected when it was less than 200 hectares in size. Changes in fire growth and intensity were also observed. An automated technique for decision makers which classifies hot spots without requiring image interpretation is proposed.


2011 ◽  
Vol 20 (4) ◽  
pp. 497 ◽  
Author(s):  
Justin Podur ◽  
B. Mike Wotton

Forest fire managers have long understood that most of a fire’s growth typically occurs on a small number of days when burning conditions are conducive for spread. Fires either grow very slowly at low intensity or burn considerable area in a ‘run’. A simple classification of days into ‘spread events’ and ‘non-spread events’ can greatly improve estimates of area burned. Studies with fire-growth models suggest that the Canadian Forest Fire Behaviour Prediction System (FBP System) seems to predict growth well during high-intensity ‘spread events’ but tends to overpredict rate of spread for non-spread events. In this study, we provide an objective weather-based definition of ‘spread events’, making it possible to assess the probability of having a spread event on any particular day. We demonstrate the benefit of incorporating this ‘spread event’ day concept into a fire-growth model based on the Canadian FBP System.


2021 ◽  
Vol 4 ◽  
Author(s):  
Cristobal Pais ◽  
Jaime Carrasco ◽  
David L. Martell ◽  
Andres Weintraub ◽  
David L. Woodruff

Cell2Fire is a new cell-based wildland fire growth simulator designed to integrate data-driven landscape management planning models. The fire environment is modeled by partitioning the landscape into cells characterized by fuel, weather, moisture content, and topographic attributes. The model can use existing fire spread models such as the Canadian Forest Fire Behavior Prediction System to model fire growth. Cell2Fire is structured to facilitate its use for predicting the growth of individual fires or by embedding it in landscape management simulation models. Decision-making models such as fuel treatment/harvesting plans can be easily integrated and evaluated. It incorporates a series of out-of-the-box planning heuristics that provide benchmarks for comparison. We illustrate their use by applying and evaluating a series of harvesting plans for forest landscapes in Canada. We validated Cell2Fire by using it to predict the growth of both real and hypothetical fires, comparing our predictions with the fire scars produced by a validated fire growth simulator (Prometheus). Cell2Fire is implemented as an open-source project that exploits parallelism to efficiently support the modeling of fire growth across large spatial and temporal scales. Our experiments indicate that Cell2Fire is able to efficiently simulate wildfires (up to 30x faster) under different conditions with similar accuracy as state-of-the-art simulators (above 90% of accuracy). We demonstrate its effectiveness as part of a harvest planning optimization framework, identifying relevant metrics to capture and actions to mitigate the impact of wildfire uncertainty.


2008 ◽  
Vol 16 (2) ◽  
pp. 133-151 ◽  
Author(s):  
Den Boychuk ◽  
W. John Braun ◽  
Reg J. Kulperger ◽  
Zinovi L. Krougly ◽  
David A. Stanford
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2018 ◽  
Vol 194 ◽  
pp. 01053 ◽  
Author(s):  
Sergei Shevelev

Numerical investigation of transient distribution of temperature in water drops cooled in cool blast in conditions typical for high capacity evaporative water cooling towers has been done. Water drops cooling through thermal conductivity and water evaporation has been taken into consideration. It has been proved that the analysis of temperature distribution along the radius of water drop increases reliability of evaluation results of average temperature of water drops when they are cooled. Effect of water steam concentration in steam-gas mixture layer surrounding a water drop on water cooling towers efficiency has been evaluated.


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