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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
view or print   10346 Poster Turbulence and Energy Fluxes During Prescribed Fires in the New Jersey Pinelands

Supporting Documents

There are no supporting documents available for this project.

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