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Project ID: 12-1-03-11
Year: 2012
Date Started: 06/15/2012
Ending Date: 06/15/2015
Title: Evaluation and Optimization of Fuel Treatment Effectiveness with an Integrated Experimental/Modeling Approach
Project Proposal Abstract: Our proposed research provides an opportunity to integrate proven, state-of-the-art, remote sensing methodologies with cutting edge numeric modeling of fire spread to test the principals and physics behind fuel reduction treatments. Many difficulties arise in adequately characterizing fuel reduction treatments solely through field experimentation. To overcome these limitations, we present a transferable approach that integrates Light Detection and Ranging (LiDAR) measurements of three-dimensional canopy structure and field consumption measurements with fire intensity and spread simulated with the Wildland-Urban Fire Dynamics Simulator (WFDS). The approach presented here: 1) characterizes three-dimensional fuel loading across a heterogeneous landscape and uses both a space-for-time and remeasurement approaches to characterize the physical changes that fuels treatments have on fuel structure and loading, 2) parameterizes WFDS using laboratory derived fuel property characteristics and evaluate the model at four operational prescribed burns in areas of contrasting fuel structure, and 3) integrates the treatment-dependant canopy structural characteristics derived from the LiDAR with WFDS simulations to evaluate realistic treatment scenarios over a wide range of fire weather conditions, allowing for the determination of optimal treatment regimes at the landscape-scale. This research will result in much-needed and tangible information for the New Jersey Forest Fire Service, and will directly inform their decision-making as they move forward with their extensive fuels management program. Additionally, the interplay between remote sensing, extensive field sampling and modeling presented here provide a potentially groundbreaking approach for evaluating fuel treatment effectiveness in a variety of other forest and shrub-dominated systems.
Principal Investigator: Nicholas S. Skowronski
Agency/Organization: Forest Service
Branch or Dept: NRS-Silas Little Experimental Forest
Other Project Collaborators
Type |
Name |
Agency/Organization |
Branch or Dept |
Budget Contact |
Debbie L. Giovanopoulos |
Forest Service |
NRS-Northern Research Station |
Co-Principal Investigator |
Kenneth L. Clark |
Forest Service |
NRS-Silas Little Experimental Forest |
Co-Principal Investigator |
William E. Mell |
Forest Service |
PNW-Seattle-Managing Natural Disturbances |
Co-Principal Investigator |
Albert J. Simeoni |
Worcester Polytechnic Institute |
Department of Fire Protection Engineering |
Collaborator/Contributor |
Robert Kremens |
Rochester Institute of Technology |
Imaging Science |
Funding Cooperator |
Nicholas S. Skowronski |
Forest Service |
NRS-Silas Little Experimental Forest |
Grants and Agreements Contact |
David G Garrison |
Forest Service |
NRS-Northern Research Station |
Lead Reviewer |
David R. Weise |
Forest Service |
PSW-Forest Fire Lab-Riverside |
Project Locations
Consortium |
Appalachian |
Level |
State |
Agency |
Unit |
STATE |
NJ |
MULTIPLE |
Project Deliverables
There is no final report available for this project.| ID | Type | Title | |
|---|---|---|---|
|
|
10346 | Poster | Turbulence and Energy Fluxes During Prescribed Fires in the New Jersey Pinelands |
Supporting Documents
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