The authors would like to acknowledge Benjamin Sommerkorn, Gabriel Dupont, Jake Eggan and Chirawat Sanpakit who assisted with the experiments presented here. Jeanette Cobian I&#241;iguez acknowledges support by NASA MUREP Institutional Research Opportunity (MIRO) grant number NNX15AP99A. This work was also funded by the USDA/USDI National Fire Plan through an agreement between USDA Forest Service, PSW Research Station and the University of California - Riverside.

Caution: As several steps in the following protocol involve activities that have the potential to cause injury, ensure that the proper personal protective equipment (PPE) is used following established safety protocols including fire resistant clothing and protective eyewear.
1. Crown Fuel Bed Load Cell Instrumentation Setup
<ol>
	<li>Modify 4 C-clamps by attaching dual spring gate carabiners (see Table of Materials) through the pin hole at the clamp&#39;s screw end (see <str...

<ol>
	<li>Minnich, R. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Fire+mosaics+in+southern+California+and+northern+Baja+California.">Fire mosaics in southern California and northern Baja California.</a> Science. 219 (4590), 1287-1294 (1983).</li><li>Tachajapong, W., Lozano, J., Mahalingam, S., Weise, D. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Experimental+modelling+of+crown+fire+initiation+in+open+and+closed+shrubland+systems.">Experimental modelling of crown fire initiation in open and closed shrubland systems.</a> Int. J. Wildl. Fire. 23 (4), 451-462 (2014).</li><li>Rothermel, R. C., Philpot, C. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Predicting+changes+in+chaparral+flammability.">Predicting changes in chaparral flammability.</a> J. For. 71 (10), 640-643 (1973).</li><li>Van Wagner, C. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Conditions+for+the+start+and+spread+of+crown+fire.">Conditions for the start and spread of crown fire.</a> Can. J. For. Res. 7, 23-34 (1977).</li><li>Fons, W. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Analysis+of+Fire+Spread+in+Light+Forest+Fuels.">Analysis of Fire Spread in Light Forest Fuels.</a> J. Agric. Res. (3), (1946).</li><li>Lozano, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> An investigation of surface and crown fire dynamics in shrub fuels [dissertation]. , 222 (2011).</li><li>Weise, D., Zhou, X., Sun, L., Mahalingam, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Fire+spread+in+chaparral-'go+or+no-go?'.">Fire spread in chaparral-'go or no-go?'.</a> Int. J. Wildl. Fire. 14, 99-106 (2005).</li><li>Cruz, M. G., Butler, B. W., Alexander, M. E., Forthofer, J. M., Wakimoto, R. H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Predicting+the+ignition+of+crown+fuels+above+a+spreading+surface+fire.+Part+I:+Model+idealization.">Predicting the ignition of crown fuels above a spreading surface fire. Part I: Model idealization.</a> Int. J. Wildl. Fire. 15 (1), 47-60 (2006).</li><li>Cruz, M. G., Butler, B. W., Alexander, M. E., Forthofer, J. M., Wakimoto, R. H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Predicting+the+ignition+of+crown+fuels+above+a+spreading+surface+fire.+Part+II:+Model+idealization.">Predicting the ignition of crown fuels above a spreading surface fire. Part II: Model idealization.</a> Int. J. Wildl. Fire. 15 (1), 47-60 (2006).</li><li>Li, J., Mahalingam, S., Weise, D. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Experimental+investigation+of+fire+propagation+in+single+live+shrubs.">Experimental investigation of fire propagation in single live shrubs.</a> Int. J. Wildl. Fire. 26 (1), 58-70 (2017).</li><li>Byram, G. 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Technol. , 618-640 (2016).</li><li>Tachajapong, W., Lozano, J., Mahalingam, S., Zhou, X., Weise, D. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+investigation+of+crown+fuel+bulk+density+effects+on+the+dynamics+of+crown+fire+initiation+in+Shrublands.">An investigation of crown fuel bulk density effects on the dynamics of crown fire initiation in Shrublands.</a> Combust. Sci. Technol. 180 (4), 593-615 (2008).</li><li>Zhou, X., Weise, D., Mahalingam, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Experimental+measurements+and+numerical+modeling+of+marginal+burning+in+live+chaparral+fuel+beds.">Experimental measurements and numerical modeling of marginal burning in live chaparral fuel beds.</a> Proc. Combust. Inst. 30 (2), 2287-2294 (2005).</li><li>Pickett, B. M., Isackson, C., Wunder, R., Fletcher, T. H., Butler, B. W., Weise, D. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Flame+interactions+and+burning+characteristics+of+two+live+leaf+samples.">Flame interactions and burning characteristics of two live leaf samples.</a> Int. J. Wildl. Fire. 18 (7), 865-874 (2009).</li><li>Cobian-I&#241;iguez, J., Sanpakit, C., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Laboratory+Experiments+to+Study+Surface+to+Crown+Fire+Transition+in+Chaparral.">Laboratory Experiments to Study Surface to Crown Fire Transition in Chaparral.</a> Fall Meet. West. States Sect. Combust. Inst. , (2015).</li><li>Silvani, X., Morandini, F. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Fire+spread+experiments+in+the+field:+Temperature+and+heat+fluxes+measurements.">Fire spread experiments in the field: Temperature and heat fluxes measurements.</a> Fire Safety J. 44 (2), 279-285 (2009).</li><li>Morandini, F., Silvani, X., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Fire+spread+experiment+across+Mediterranean+shrub:+Influence+of+wind+on+flame+front+properties.">Fire spread experiment across Mediterranean shrub: Influence of wind on flame front properties.</a> Fire Safety J. 41 (3), 229-235 (2006).</li><li>Albini, F. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+Model+for+Fire+Spread+in+Wildland+Fuels+by-+Radiation.">A Model for Fire Spread in Wildland Fuels by- Radiation.</a> Combust. Flame. 42, (1985).</li><li>Rothermel, R. C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+Mathematical+Model+for+Predicting+Fire+Spread+in+Wildland+Fuels.">A Mathematical Model for Predicting Fire Spread in Wildland Fuels.</a> USDA For. Serv. Res. Pap. INT-115. , 40 (1972).</li><li>Freeborn, P. H., Wooster, M. J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Relationships+between+energy+release,+fuel+mass+loss,+and+trace+gas+an+aerosol+emissions+during+laboratory+biomass+fires.">Relationships between energy release, fuel mass loss, and trace gas an aerosol emissions during laboratory biomass fires.</a> J. Geophys. Res. Atmos. 113 (1), 1-17 (2008).</li><li>Finney, M. A., Cohen, J. D., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Role+of+buoyant+flame+dynamics+in+wildfire+spread.">Role of buoyant flame dynamics in wildfire spread.</a> Proc Nat Acad Sci USA. 112 (32), 9833-9838 (2015).</li><li>Green, L. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Burning+by+prescription+in+chaparral.">Burning by prescription in chaparral.</a> USDA For. Serv. Gen. Tech. Rep. PSW-51. , 36 (1981).</li><li>Cohen, J., Bradshaw, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Fire+behavior+modeling+-+a+decision+tool.">Fire behavior modeling - a decision tool.</a> Proc. Prescr. Burn. Midwest State Art. , 1-5 (1986).</li><li>Weise, D. R., Koo, E., Zhou, X., Mahalingam, S., Morandini, F., Balbi, J. 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The authors have nothing to disclose.

The ability to measure the elevated fuel mass throughout the experiment was one of the main advantages of the technique presented here. Previous studies addressing chaparral fire have focused on either only crown fire initiation or only on surface spread, but not both. Such studies have quantified the possibility of ignition in the crown layer and have left study of spread for future work23. Our methodology allows for measurement of mass loss, temperature distribution, and flame geometry for both ...

In 2016, the state of California experienced a total of 6,986 wildland fires, consuming 564,835 acres1, costing millions of dollars in damage, and risking the wellness of hundreds of people. Because of the regional Mediterranean climate, a major fuel source for these fires are chaparral vegetation communities2. Fire spread in chaparral can be considered a crown fire since the main fuel that burns is elevated3. Co-existing with the predominantly live crown layer, is the dead surface fuel layer, which consists of cast foliage, branches, and herbaceous plants which grow under and between the individual shrubs. Fire will more easily initiate in the dead surface fuel layer. Once the surface fire ignites, the fire may transition to the crown layer where the energy released by the fire increases dramatically. While chaparral fires have typically been modelled as a fire spreading in deep surface fuels4, there has been limited study of chaparral fires as crown fires.

Crown characteristics in chaparral, including foliage particle shape, differ from boreal coniferous forest, where most of the research has occurred. Numerous laboratory and field scale studies have investigated various aspects of wildfire dynamics6,5,7,3,8,9,10,11,12. Within the realm of laboratory experiments, several studies have examined the influence of parameters such as wind and fuel properties on chaparral crown fire behavior. Lozano7 examined characteristics of crown fire initiation in the presence of two discrete crown fuel beds. In Tachajapong et al.3, discrete surface and crown layers were burned inside a wind tunnel and the surface fire was characterized. Only crown fire initiation was fully described leaving full analysis of spread for future work. Li et al.11 reported on the propagation of a flame though single chaparral shrubs. In related work, Cruz et al.10,9 developed a model to predict the ignition of coniferous foliage above a spreading surface fire. Burn characteristics of chaparral fuels have been explored in experimental studies of bulk fuels and individual leaves13,14,15,16. Dupuy et al.13 studied the burning characteristics of Pinus pinaster needles and excelsior by burning the fuels in cylindrical baskets. They observed that in these fuels, flame height was related to heat release rate via a two-fifths power law as has been reported previously in the literature17,18. Sun et al.14 burned chaparral fuels in similar cylindrical baskets to analyze the burning characteristics of three chaparral fuels: chamise (Adenostoma fasciculatum), ceanothus (Ceanothus crassifolius), and manzanita (Arctostaphylos glandulosa).
Motivated by results from the aforementioned laboratory studies, our purpose here is to present a methodology to characterize spread in both surface and shrub crown layers. Furthermore, we aim to clarify some of the key characteristics that dictate the degree of surface-crown layer interaction. To this purpose, we developed an experimental laboratory methodology to study the vertical transition of a fire burning in a wildland surface fuel to a fire spreading in an elevated shrub fuel. In these types of fires, translation of the fire to the shrub crown, known as crowning, may be followed by sustained spread under the right conditions. In general, chaparral fire behavior is dictated by topography, weather, and fuel19. It has been shown that wind affects energy release rate in the fuels5,3,8,20.
Fire spread in porous fuels can be viewed as a series of transitions or thresholds that must be crossed to be successful21. Energetically, a fuel particle ignites if the amount of heat that it receives results in a mixture of gases that successfully react with oxygen. The resulting flame spreads if the heat from the burning particle ignites an adjacent fuel particle. The fire spreads across the ground if it is able to cross gaps between combustible fuel elements. If the flame of a surface fire is able to propagate vertically into the crown of shrubs and trees, a significant change in fire behavior, including increased heat release rates, is often observed due to a greater availability of fuel. Thermal energy dynamics in wildland fires encompass several scales, from the very large scale, such in mega-fires which often require climatological modeling, to the small scale requiring chemical scale kinetic modeling. Here, we deal with laboratory wind tunnel scale behavior modeling; for chemical scale cellulose combustion studies, the reader is referred to works such as Sullivan et al.22
Since 2001, we have conducted a variety of experiments examining some of the laboratory scale energy thresholds23,8,24,25,26,27, with an emphasis on live fuels associated with chaparral. While outdoors measurements of fire may provide more lifelike results, the controlled environment of the wind tunnel allow for delineation of the impact of various parameters. Controlling wind, for example, is especially important for chaparral crown fires occurring in regions such as Southern California where foehn type winds, known as Santa Ana winds, are typical drivers of fire events. Because a major motivator for the methodology described here is to study the effect of wind and other controlled parameters on chaparral fire spread, this study was performed in a laboratory scale wind tunnel. The reader is directed to the work by Silvani et al.28 for field measurements of temperature in chaparral fires similar to the ones presented here. For field measurements on the effect of wind on fire spread, please see Morandi et al.29
Several parameters influencing the spread in chaparral fuels have been experimentally analyzed by quantifying the probability of fire spread success in elevated fuel beds8. The current experimental study involves a methodology developed to study chaparral crown fire spread by modeling surface fuels and crown fuels inside the test section of a low speed wind tunnel. The surface fuel is modeled with excelsior (dried shredded wood). The surface fuel bed is placed on the ground level of the wind tunnel over a standard scale (see Figure 1). Representing the crown fuel bed, a fuel bed with chamise was placed over the surface fuel bed by suspending the fuel from a platform mounted on the wind tunnel frame (see Figure 1). Both fuel beds are instrumented for temperature and mass loss measurements; flame geometry is obtained from video recordings of experiments. Parameters measured include mass loss rate, fuel moisture content and the relative humidity of the air. Parameters controlled were wind presence, distance between surface fuel bed and crown fuel bed, and the presence of surface fuel. The measured mass loss rate can be used to calculate the heat release rate, which is defined as: 
<img alt="Equation 1" src="/files/ftp_upload/56591/56591eq1.jpg" /> 
where h is the heat of fuel combustion, m is the fuel mass, and t is time.
<img alt="Figure 1" class="xfigimg" src="/files/ftp_upload/56591/56591fig1.jpg" /> 
Figure 1: Wind tunnel experimental setup. Locations of the crown fuel bed, the surface fuel bed, and the tunnel fan have been labeled for convenience. The surface fuel bed is placed on the ground level of the wind tunnel over a standard scale. Representing the crown fuel bed, a fuel bed with chamise was placed over the surface fuel bed by suspending the fuel from a platform mounted on the wind tunnel frame. <a href="//cloudflare.jove.com/files/ftp_upload/56591/56591fig1large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
Experiments have focused on understanding the behavior of chaparral crown fires, particularly ignition, mechanisms of flame propagation and spread, flame front velocities, and fuel consumption rates.To study the interaction between a surface fire and a crown fire, six configurations of surface and crown fuel beds with and without applied wind flow, have been burned in the wind tunnel: crown fuel only with and without wind (2), crown and surface fuel beds separated by two distances with and without wind (4). Table 1 summarizes the experimental configurations with the 6 experimental classes. In the table, the surface fuel bed parameter denotes whether surface fuel was present during the experiment, the wind parameter refers to the presence of wind and crown height refers to the distance between the bottom of the crown fuel bed and the bottom of the surface fuel bed. Fuel moisture was measured for each experiment but not controlled, average fuel moisture content was 48%, whereas the minimum and maximum values were 18% to 68%, respectively.
<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>Class</td>
			<td>Surface Fuel Bed</td>
			<td>Wind</td>
			<td>Crown Height</td>
		</tr>
		<tr>
			<td>A</td>
			<td>Absent</td>
			<td>No wind</td>
			<td>60 or 70 cm</td>
		</tr>
		<tr>
			<td>B</td>
			<td>Absent</td>
			<td>1 ms-1</td>
			<td>60 or 70 cm</td>
		</tr>
		<tr>
			<td>C</td>
			<td>Present</td>
			<td>No wind</td>
			<td>60 cm</td>
		</tr>
		<tr>
			<td>D</td>
			<td>Present</td>
			<td>No wind</td>
			<td>70 cm</td>
		</tr>
		<tr>
			<td>E</td>
			<td>Present</td>
			<td>1 ms-1</td>
			<td>60 cm</td>
		</tr>
		<tr>
			<td>F</td>
			<td>Present</td>
			<td>1 ms-1</td>
			<td>70 cm</td>
		</tr>
	</tbody>
</table>
Table 1: Experiment configurations. Here the surface fuel bed parameter denotes whether surface fuel was present during the experiment, the wind parameter refers to the presence of wind and crown height refers to the distance between the bottom of the crown fuel bed and the bottom of the surface fuel bed.
An electronic scale measured surface fuel mass and we developed a custom mass loss system for the crown layer. The system consisted of individual load cells connected to each corner of the suspended fuel bed. Consumer-grade video cameras recorded the visual flames; image processing of the visual data using a custom script generated flame characteristics including height and angle. A program was developed to convert video frames from RGB (red/green/blue) coding to black and white through a process of light intensity thresholding. The edge of the flame was obtained from the black and white video frames. Maximum flame height was defined as the highest point of the flame edge, instantaneous flame heights were also obtained. In an image, flame height was measured from the base of the fuel bed to the maximum vertical point of the flame. All processing codes as well as the instrument control interface designed for this protocol have been made available by the authors here through their software access site. Harvesting the live fuel locally and conducting the experimental burns within 24 h minimized moisture loss. A thermocouple array recorded fuel bed temperature in the wind stream-wise direction enabling the calculation of spread rate. Figure 1 shows a diagram of the fuel bed setup along with the thermocouple arrangement. Details of the experimental protocol follow.

<table>
	<tbody>
		<tr>
			<td>Wind Tunnel Instrumentation</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>cDAQ-9178 CompactDAQ Chassis</td>
			<td>National Instruments</td>
			<td>781156-01</td>
			<td></td>
		</tr>
		<tr>
			<td>NI-9213 C Series Temperature Input Module</td>
			<td>National Instruments</td>
			<td>785185-01</td>
			<td></td>
		</tr>
		<tr>
			<td>NI SignalExpress for Windows</td>
			<td>National Instruments</td>
			<td>779037-35&#160;</td>
			<td>Newest version, older version used for experiment</td>
		</tr>
		<tr>
			<td>High Temperature Nextel Insulated Thermocouple Elements</td>
			<td>Omega</td>
			<td>XC-24-K-18</td>
			<td></td>
		</tr>
		<tr>
			<td>Thermocouple Extension Wire with Polyvinyl Coated Wire and Tinned Copper Overbraid</td>
			<td>Omega</td>
			<td>EXPP-K-24S-TCB-P</td>
			<td></td>
		</tr>
		<tr>
			<td>Ultra High Temperature Miniature Connectors</td>
			<td>Omega</td>
			<td>SHX-K-M</td>
			<td></td>
		</tr>
		<tr>
			<td>CompuTrac MAX 2000XL&#160;</td>
			<td>Arizona Instruments</td>
			<td>MAX-2000XL</td>
			<td>Discontinued, Newer Model Out</td>
		</tr>
		<tr>
			<td>Kestrel 3000 Pocket Weather Meter</td>
			<td>Nielsen-Kellerman</td>
			<td>0830</td>
			<td></td>
		</tr>
		<tr>
			<td>Satorius CPA 34001S&#160;</td>
			<td>Sartorius</td>
			<td>25850314</td>
			<td>Discontinued Model</td>
		</tr>
		<tr>
			<td>5 Kg Micro Load Cell (X4)</td>
			<td>Robotshop.com</td>
			<td>RB-Phi-118</td>
			<td>Strain Gauge Load Cell</td>
		</tr>
		<tr>
			<td>Phidget PhidgetBridge Wheatstone Bridge Sensor Interface</td>
			<td>Robotshop.com</td>
			<td>RB-Phi-107</td>
			<td>Interfaces with 4 load cells, performs signal amplification</td>
		</tr>
		<tr>
			<td>#2 Stainless S-Biner (X4)</td>
			<td>Home Depot</td>
			<td>SB2-03-11</td>
			<td>Dual spring gate carabiners used to mount load cells</td>
		</tr>
		<tr>
			<td>2 in. Malleable Iron C-Clamp</td>
			<td>Home Depot</td>
			<td># 4011</td>
			<td>Used to mount load cells</td>
		</tr>
		<tr>
			<td>Name</td>
			<td>Company</td>
			<td>Catalog Number</td>
			<td>Comments</td>
		</tr>
		<tr>
			<td>Personal Protective Equipment</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>Wildland Firefighter Nomex Shirt</td>
			<td>GSA Advantage</td>
			<td>SH35-5648</td>
			<td></td>
		</tr>
		<tr>
			<td>Fireline 6 oz Wildland Fire Pants</td>
			<td>GSA Advantage</td>
			<td>139702MR SEV16</td>
			<td></td>
		</tr>
		<tr>
			<td>Name</td>
			<td>Company</td>
			<td>Catalog Number</td>
			<td>Comments</td>
		</tr>
		<tr>
			<td>Fuels</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>Chamise</td>
			<td>Collected in situ</td>
			<td>N/A</td>
			<td></td>
		</tr>
		<tr>
			<td>Natural Shredded Wood Excelsior &#8211; Natural Coarse 50 lbs bail</td>
			<td>Paper Mart</td>
			<td>21-711-88</td>
			<td></td>
		</tr>
		<tr>
			<td>Bernzomatic UL100 Basic Propane Torch Kit</td>
			<td>Home Depot</td>
			<td>UL100KC</td>
			<td></td>
		</tr>
		<tr>
			<td>Isopropyl alcohol</td>
			<td>Convenience store</td>
			<td>N/A</td>
			<td></td>
		</tr>
		<tr>
			<td>Name</td>
			<td>Company</td>
			<td>Catalog Number</td>
			<td>Comments</td>
		</tr>
		<tr>
			<td>Video and Photography</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>Nikon D3000 10.2-MP DSLR camera with DX-format sensor and 3x 18x55mm Zoon-NIKKOR VR Image Stabilization Lens</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>Sony Handycam Camcorder DCR-SX85</td>
			<td>Amazon.com</td>
			<td>DCR-SX85</td>
			<td></td>
		</tr>
		<tr>
			<td>Name</td>
			<td>Company</td>
			<td>Catalog Number</td>
			<td>Comments</td>
		</tr>
		<tr>
			<td>Software</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>NI LabView</td>
			<td>National Instruments</td>
			<td>Student Version</td>
			<td>Used for instrument control and interfacing</td>
		</tr>
		<tr>
			<td>MATLAB Student Version (MATLAB_R2014a)</td>
			<td>Mathworks</td>
			<td>Student Version&#160;</td>
			<td>Used for data post-processing including image processing</td>
		</tr>
	</tbody>
</table>

wind tunnel experiments to study chaparral crown fires

The present protocol presents a laboratory technique designed to study chaparral crown fire ignition and spread. Experiments were conducted in a low velocity fire wind tunnel where two distinct layers of fuel were constructed to represent surface and crown fuels in chaparral. Chamise, a common chaparral shrub, comprised the live crown layer. The dead fuel surface layer was constructed with excelsior (shredded wood). We developed a methodology to measure mass loss, temperature, and flame height for both fuel layers. Thermocouples placed in each layer estimated temperature. A video camera captured the visible flame. Post-processing of digital imagery yielded flame characteristics including height and flame tilt. A custom crown mass loss instrument developed in-house measured the evolution of the mass of the crown layer during the burn. Mass loss and temperature trends obtained using the technique matched theory and other empirical studies. In this study, we present detailed experimental procedures and information about the instrumentation used. The representative results for the fuel mass loss rate and temperature filed within the fuel bed are also included and discussed.

Crown and surface flame height data were obtained from the video data. Typical flame height trends for experiments is presented in Figure 6. Flame height behavior followed that found in Sun et al.14
<img alt="Figure 6" class="xfigimg" src="/files/ftp_upload/56591/56591fig6.jpg" /> 
Figure 6: Estimated crown flame height. Here U = 1 m/s,...

Watch this Scientific Journal Video about Wind Tunnel Experiments to Study Chaparral Crown Fires at JoVE.com

Wind Tunnel Experiments to Study Chaparral Crown Fires

This protocol describes wind tunnel experiments designed to study the transition of a fire from the ground to the canopy of chaparral shrubs.

The present protocol presents a laboratory technique designed to study chaparral crown fire ignition and spread. Experiments were conducted in a low ...

The overall goal of this methodology is to clarify some of the key characteristics that dictate the degree of surface crown layer interaction in chaparral crown fires. This method could help answer key questions in the wildland fire field, such as the conditions dictating successful transition and spread to the crown layer. The main advantage of this technique is that it enables the measurement of mass loss in temperature for both the surface fuel layer and the crown fuel layer.To begin, modify four C clamps by attaching dual spring gate carabiners through the pinhole at the clamp screw end. Use these carabiners to suspend the crown fuel bed. Using a different set of C clamps, affix each load string gauge cell to the top portion of the wind tunnel frame.Then, attach the modified C clamps to the free end of the strain gauge cells with the carabiners hanging down. Use chains to connect the platform for the crown fuel bed to a carabiner. Connect their wires to the weed stone bridge, which will be used for data acquisition.Cover the load cells with fire insulating material, such as the kind used for fire shelters. To obtain the calibration constant, A, hook precision weights to the first load cell. Set the load cell gain to 128 using the input number field.This corresponds to the maximum value allowed by the device. Then, read the signal output in response to the weight at output zero. Next, unhook the weight to produce a no load signal.Read the new value displayed in the instrument interface. Calculate the calibration constant based on the equation shown here. Then, in the controller interface, fill in the channel M value for each sensor with the value A.To find the offset value, B, remove all of the weights, read the value in the outputs calibrated G box and multiply this value by negative one.The resulting number is the constant, B.Type this number into the addition channel zero A box. Repeat these calibration steps for each load cell that is part of the system. From the pile of fuel collected for burning, collect three to four one pint bottles of fuel.Following the procedures delineated by Countryman and Dean, oven dry the samples to obtain the proper fuel moisture content. Once ready, trim the individual branches from a bundle of recently harvested chamise to remove dead material and branch material greater than a quarter inch diameter. Place the remaining live fuel material in the container for weighing.Select two kilograms of the trimmed chamise and 0.5 kilograms of excelsior using an electronic scale. Then, place 0.5 kilograms of excelsior onto the surface fuel bed on the wind funnel floor, ensuring that the bulk density is as uniform as possible. Next, pull apart to fluff the compacted excelsior and decrease it's bulk density so it will burn readily.Load two kilograms of trimmed chamise onto the platform hanging from the load cells to create the elevated fuel bed. Evenly spread the chamise branches over the entire platform to produce a uniform fuel bed. Connect an array of 16 thermocouples to a data logger with a response time of 0.9 seconds.Insert six of the thermocouples into the crown fuel layer 20 centimeters apart, while avoiding contact with branches. Then, insert 10 thermocouples into the surface fuel layer. Place these surface fuel thermocouples 10 centimeters apart and avoid contact of thermocouples with branches.Activate data logging by clicking the start button in the the thermocouple control software interface. Mount a visual reference target that has red marks at 10 centimeter intervals above the wind tunnel window. Next, place cameras for photographic data collection.Focusing on the wind funnel test area, adjust the camera's focus so as to capture the entire vertical reference target as well as the fuel bed area. Then, set up a video camera by mounting it with the universal camera wall mount on the wall to provide a full view of the wind funnel test section. Next, set the wind tunnel's fan speed to one meter per second on the speed controller.Then, briefly turn on the fan to ensure that it is functioning properly. Close all doors in the building to ensure that the roof vents are the only possible exit for smoke evacuation. Then, turn on the air supply fans to bring in fresh air from outside the building at four level and turn on the exhaust fans to evacuate smoke through the roof vents.Prior to each experiment, use a wet bulb hygrometer to measure the relative humidity and temperature of the ambient air. Turn on the video camera to record the experiment. Then, speak aloud the experiment number or code, the date, and the experimental configuration so that the microphone on the video camera records this information.Next, instruct the computer crew to begin data logging by ticking the enable data logging option in the instrument control interface. Prior to burning, make sure all building doors are closed. Once the fuel bed has been ignited, step out of the test section and close the tunnel door.When instructed to ignite, soak the leading edge of the excelsior surface fuel bed with denatured ethyl alcohol and then place the alcohol bottle away from the ignition zone. Using a butane torch, ignite the end of the surface fuel bed in a line parallel to the leading edge of the fuel bed. If wind is required for the experiment, turn on the wind tunnel fan.Record the burn for its entire duration, which varies based on the setup and conditions. Using video data, the crown and surface flame height data were obtained. The data shown here represents an experiment that includes wind.In these types of experiments, the flame starts small, gets larger close to the middle of the fuel bed, and decays with time as flames get closer to the end of the fuel bed. By utilizing the strain gauges, the fuel consumption rates can be determined and show the evolution of the mass loss during the entire burn. The percent of mass loss for both the surface and crown layers are shown here, versus the percentage of total burn time.Wind increases the mass loss rate for both the surface and crown fuel layers. The no wind cases took an average of four and a half minutes to burn to completion, and the one meter per second wind case took only two and a half minutes to burn. Once mastered, this technique can be completed in 30 to 40 minutes if it is performed properly.While attempting this procedure, it is important to remember to properly calibrate the crown field mass loss instrument and to trim crown fields so that they are at or below a quarter inch diameter. Following this procedure's methodology and use could be performed in order to answer additional questions about radiative heat transfer. After watching this video, you should have a good understanding on how to measure some of the key parameters that dictate the surface and crown layer interaction in chaparral crown fires.Working with fire at wind funnel scales can be extremely hazardous. Precautions such as wearing personal protective equipment, including fire resistant clothing and protective eyewear, while performing experiments should be taken.

wind-tunnel-experiments-to-study-chaparral-crown-fires

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Engineering

9.5K Görüntüleme.  University of California, Riverside. The overall goal of this methodology is to clarify some of the key characteristics that dictate the degree of surface crown layer interaction in chaparral crown fires. This method could help answer key questions in the wildland fire field, such as the conditions dictating successful transition and spread to the crown layer. The main advantage of this technique is that it enables the measurement of mass loss in temperature for both the surface fuel layer and the crown fuel layer.To begi...