Add to ORKGWe measured fuel consumption, turbulent exchanges of energy, water vapor and carbon dioxide, and PM 2.5 concentrations during an operational prescribed fire conducted by the New Jersey Forest Fire Service in the Pine Barren of New Jersey in March 2008. Fuel consumption was quantified using pre- and post-burn sampling of the forest floor and understory, and LIDAR data to estimate canopy and understory fuel consumption during the fire. Eddy covariance and standard meteorological measurements were used to estimate turbulence and net fluxes of sensible heat, latent heat, and CO2. PM 2.5 (particulate matter wit
This study aims to develop a series of robust and efficient methodologies, which can be applied to u...
This thesis evaluates the effectiveness of BEHAVE: Fire Behavior Prediction and Fuel Modeling System...
Gaseous and particulate samples from the smoke from prescribed burnings of a shrub-dominated forest ...
We quantified loading and consumption losses of 1-hour and 10-hour fuels on the forest floor and und...
Low-intensity wildland fires occurring beneath forest canopies can result in particularly adverse lo...
This paper represents a study on the characterization of firebrand production which was carried out,...
An extensive program of experiments focused on biomass burning emissions began with a laboratory pha...
The burning of two species of pine needles: Pinus halepensis and Pinus pinaster, was studied to char...
AbstractParticulate matter (PM) emission factors (EFPM), which predict particulate emissions per bio...
International audienceAn experimental study of the burning rates of small-scale forest fuel layers c...
The impact of a forest canopy on smoke concentration is assessed by applying a numerical weather pre...
The First Order Fire Effects Model (FOFEM) is a predictive tool that allows estimation of fire effec...
[1] Fuel biomass samples from southern Africa and the United States were burned in a laboratory comb...
Smoke prediction products are one of the tools used by land management personnel for decision making...
Abstract. Fluxes of water vapor, heat, and carbon dioxide associated with a prescribed grass fire we...
This study aims to develop a series of robust and efficient methodologies, which can be applied to u...
This thesis evaluates the effectiveness of BEHAVE: Fire Behavior Prediction and Fuel Modeling System...
Gaseous and particulate samples from the smoke from prescribed burnings of a shrub-dominated forest ...
We quantified loading and consumption losses of 1-hour and 10-hour fuels on the forest floor and und...
Low-intensity wildland fires occurring beneath forest canopies can result in particularly adverse lo...
This paper represents a study on the characterization of firebrand production which was carried out,...
An extensive program of experiments focused on biomass burning emissions began with a laboratory pha...
The burning of two species of pine needles: Pinus halepensis and Pinus pinaster, was studied to char...
AbstractParticulate matter (PM) emission factors (EFPM), which predict particulate emissions per bio...
International audienceAn experimental study of the burning rates of small-scale forest fuel layers c...
The impact of a forest canopy on smoke concentration is assessed by applying a numerical weather pre...
The First Order Fire Effects Model (FOFEM) is a predictive tool that allows estimation of fire effec...
[1] Fuel biomass samples from southern Africa and the United States were burned in a laboratory comb...
Smoke prediction products are one of the tools used by land management personnel for decision making...
Abstract. Fluxes of water vapor, heat, and carbon dioxide associated with a prescribed grass fire we...
This study aims to develop a series of robust and efficient methodologies, which can be applied to u...
This thesis evaluates the effectiveness of BEHAVE: Fire Behavior Prediction and Fuel Modeling System...
Gaseous and particulate samples from the smoke from prescribed burnings of a shrub-dominated forest ...