Regression models of ignition time versus moisture content for the litter of Mediterranean forest species

Dimitrakopoulos, A. P.; Samara, Eftihia; Mitsopoulos, Ioannis

doi:10.1016/j.foreco.2006.08.164

Cited by 4 publications

(4 citation statements)

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“…So it might be shown that the coefficients in these two equations are dependent on the moisture content. A simple linear regression between ignition time and moisture content was found to be the best fit for all the forest species tested by Dimitrakopoulos et al 20 The ignition time of wood samples dependent on moisture content can be obtained as t ig = (87 + 518v) r 0:73 ( _ q 00 À 28:0) 1:82 ð6Þ…”

Section: Ignition Timementioning

confidence: 97%

Influence of moisture on autoignition of woods in cone calorimeter

Shi

Chew

2012

Journal of Fire Sciences

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Six species of wood samples, namely, pine, beech, cherry, oak, maple, and ash, were investigated by autoignition in a cone calorimeter to identify the influence of moisture on autoignition. It was observed that (1) for autoignition, as different from piloted ignition, there is no obvious trend in ignition temperature when moisture content increases from 0% to 11%; (2) ignition temperature decreases with a higher external heat flux, and the influence of specimen thickness to the ignition temperature can be ignored; (3) ignition time correlates linearly with r 0:73 =(_ q 00 À 28:0) 1:82 , and the coefficient rises with the increase of moisture content; and (4) the influence of moisture to the average mass loss rate and time at 50% mass loss can be ignored if the moisture content of wood sample is lower than 11%.

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Section: Ignition Timementioning

confidence: 97%

Influence of moisture on autoignition of woods in cone calorimeter

Shi

Chew

2012

Journal of Fire Sciences

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“…Wildfire is among the main shaping factors of Mediterranean ecosystems [1], affecting between 700,000 and 1 million hectares of Mediterranean forests worldwide each year [2]. Due to the particularly fire-prone conditions of the Mediterranean climate [3], fires are intrinsic to the functioning of Mediterranean forests.…”

Section: Introductionmentioning

confidence: 99%

Fire Regime Analysis in Lebanon (2001–2020): Combining Remote Sensing Data in a Scarcely Documented Area

Majdalani

Koutsias

Faour

et al. 2022

Fire

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Fire is a recurrent disturbance in Mediterranean ecosystems. Data assemblage from forest fire services can provide useful information for understanding climate controls on daily fire hazard or long term trends. Located at the driest range of the Mediterranean bioclimate, and with contrasting socio-political systems compared to the European area, the southern Mediterranean ecosystems are subjected to more extreme climate and social events. This could potentially lead to unique fire regimes and trends worth being characterized for prevention plans and ecosystem management. However, the region is far less documented, due to missing or inhomogeneous fire records, leaving local authorities with no management strategies when large fires happen. We filled this knowledge gap for Lebanon by combining high spatial resolution Landsat data with high temporal resolution VIIRS (S-NPP and NOAA-20) and MODIS (MCD14ML) hotspots to characterize the seasonal and interannual fire regime over the 2001–2020 period. Numerous small fires were hardly detected by global remote sensing. We estimated that 2044 ha burn annually, representing 0.58% of the wildland cover, with no significant trend over the period, but with non climate-related fires detected during the year experiencing socio-political troubles. The spatial and temporal resolution of this dataset identified a particular prolonged fire season up to November, and an unusual bimodal fire season peaking in July and November. We related these features to the prolonged autumnal soil drought and high August air humidity in the region. This updated fire regime in Lebanon illustrates the benefits of this combined approach for data-scarce regions and provides new insights on the variability of fire weather types in the Mediterranean basin.

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“…The effects of different fuel parameters on the flammability of a given species were also tested in several works. For instance, among the most frequent parameters studied, we found in literature: (i) the fuel moisture content or bulk density (Plucinski and Anderson, 2008;Dimitrakopoulos et al, 2006), (ii) the vegetation type (Fonda, 2001;Fonda et al, 1998;Fonda and Varner, 2004;Kane et al, 2008;Ganteaume et al, 2009a) or (iii) the terpene content (Ormeño et al, 2009). Flammability experiments were also performed over a flat-flame burner that provided the heat source for multiple leaf samples, simulating an oncoming flame front (Pickett et al, 2009).…”

Section: Introductionmentioning

confidence: 99%