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Project ID: 09-1-04-1

Year: 2009

Date Started: 06/01/2009

Date Completed: 05/29/2013

Title: Development of Modeling Tools for Predicting Smoke Dispersion from Low-Intensity Fires

Project Proposal Abstract: Predicting the dispersion of smoke from low-intensity fires is particularly challenging because it is highly sensitive to near-surface meteorological conditions, local topography, vegetation, and atmospheric turbulence within and above vegetation layers. Existing integrated smoke dispersion modeling systems, which are designed for predictions of smoke from multiple sources on a regional scale, do not have the necessary resolution to accurately capture smoke from low-intensity fires that tends to meander around the source and may stay underneath forest canopies for a relatively long period of time. Simple dispersion models, which quite often are location specific, are limited by their simplistic nature in treating the emissions source, topography, canopy, and the atmospheric conditions. The primary goal of our project is to build a smoke management tool specifically for low-intensity fires by taking advantage of recent developments in fine-scale atmospheric dispersion modeling and in computational fluid dynamics (CFD) modeling. Specifically, we will 1) evaluate several state-of-the art, fine-scale atmospheric dispersion models and CFD models with emphasis on their performance in simulating local-scale flows and near-surface conditions including the conditions within forest canopies; the evaluation will use existing data and new data from low-intensity prescribed fires; 2) adapt, modify, and implement a fine-scale atmospheric dispersion model with a detailed canopy sub-model for use in predicting smoke dispersion from low-intensity fires; 3) improve our understanding of the influence of forest vegetation layers and local terrain-induced circulations on smoke emissions, meandering, dispersion, and transport within and above forest canopies; and 4) develop web-based, user friendly decision support tools for land managers, air quality regulators, and farmers for planning prescribed burns. The proposed work presents a cost-effective way to build a much needed tool for smoke management by taking advantage of the rapid advancement in fine-scale atmospheric dispersion modeling for emergency response in the post 9-11 era. Since the tool will be location-independent, it would benefit land managers worldwide.

Principal Investigator: Warren E. Heilman

Agency/Organization: Forest Service

Branch or Dept: NRS-Forest-Atmosphere-Ecosystem Interactions


Other Project Collaborators

Type

Name

Agency/Organization

Branch or Dept

Co-Principal Investigator

Joseph J. Charney

Forest Service

NRS-Forest-Atmosphere-Ecosystem Interactions

Co-Principal Investigator

John L. Hom

Forest Service

NRS-Northern Research Station

Co-Principal Investigator

Sharon S. Zhong

Michigan State University

Department of Geography

Federal Cooperator

Warren E. Heilman

Forest Service

NRS-Forest-Atmosphere-Ecosystem Interactions

Federal Fiscal Representative

David G. Garrison

Forest Service

NRS-Northern Research Station


Project Locations

Consortium

Lake States


Level

State

Agency

Unit

STATE

NJ

NPS

New Jersey Pinelands National Reserve


Project Deliverables

Final Report view or print

("Results presented in JFSP Final Reports may not have been peer-reviewed and should be interpreted as tentative until published in a peer-reviewed source.")

  ID Type Title
view or print   1326 Government Publication Application of a Vegetation Canopy Parameterization to Wildland Fire Modeling
view or print   1462 Government Publication Fuel Consumption and Particulate Emissions During Fires in the New Jersey Pinelands
view or print go to website 3386 Journal Article Remote Sensing Letters
  go to website 436 Website Project Summary Website: Development of Modeling Tools for Predicting Smoke Dispersion From Low-Intensity Fires
view or print   4597 Poster Development of Modeling Tools for Predicting Smoke Dispersion from Low Intensity Fires
view or print   4428 Poster Smoke Modeling Validation Field Design: CO, PM2.5, CO2 and Smoke Monitoring From Low Intensity Fires
view or print   4215 Poster Large Eddy Simulation of Canopy Structure Effects on Smoke Dispersion
  go to website 6131 Invited Paper/Presentation Large Eddy Simulation of Canopy-Structure Effects on Smoke Dispersion From Low-Burning Prescribed Fires
view or print go to website 6733 Poster Turbulence and Energy Fluxes During Prescribed Fires in the New Jersey Pine Barrens
view or print go to website 6734 Poster Monitoring CO, PM2.5, and CO2 from Low-Intensity Fires for the Development of Modeling Tools for Predicting Smoke Dispersion
view or print go to website 6539 Invited Paper/Presentation Development of a Fine Scale Smoke Dispersion Modeling System: Part II-Case Study of a Prescribed Burn in the New Jersey Pine Barrens
view or print go to website 6540 Invited Paper/Presentation Observed Fire-Atmosphere Interactions During a Low-Intensity Prescribed Fire in a Forested Environment
  go to website 6735 Invited Paper/Presentation Assessment of Wind and Temperature in the Roughness Sub-Layer Using ARPS-CANOPY
view or print go to website 6736 Poster On the Sensitivity of Wind and Temperature in the PBL and Roughness Sub-Layer to Canopy and Fire Properties
view or print   6737 Training Session Getting a Handle on Local Smoke Transport During Prescribed Fires
view or print   6763 Poster Development and Validation of Modeling Tools for Predicting Smoke Dispersion During Low-Intensity Fires
view or print go to website 6382 Poster Observations of Atmospheric Canopy Layer Turbulence Generated by Low-Intensity Prescribed Fire
view or print   6768 Invited Paper/Presentation Development of a Canopy Atmospheric Modeling System for Use in Simulating Smoke Dispersion From Low-Intensity Fires
view or print go to website 5499 Training Session Making Sense of Wildland Smoke: New Research on Local Smoke Transport and Diffusion
view or print   5944 Poster Simulating Prescribed Burn Events in the New Jersey Pine Barrens using ARPS-CANOPY
view or print   5945 Poster Fire-Atmosphere Interactions During Low-Intensity Prescribed Fires in the New Jersey Pine Barrens
view or print   5946 Poster Evaluation of the WRF-Fire Model with Observational Data from a Prescribed Fire Experiment
view or print   5947 Poster An Investigation of the Sensitivity of Wind and Temperature in the Lower Atmosphere to Canopy and Fire Properties
    5948 Invited Paper/Presentation Detection and Simulation of Smoke Feedbacks to Atmospheric Boundary Layer for a Prescribed Burn
view or print   5363 Poster Turbulence and Energy Fluxes During Prescribed Fires in the New Jersey Pinelands
view or print   5594 Photo Observed low-level smoke plume crossing the eastern perimeter of the burn block during the 6 March 2012 prescribed fire experiment in the New Jersey Pine Barrens
view or print   5595 Photo Example low-intensity backing fire line during the 6 March 2012 prescribed fire expiment in the New Jersey Pine Barrens
view or print   5596 Photo Smoke plume in the vicinity of instrumented 30-m tower during the 20 March 2011 prescribed fire experiment in the New Jersey Pine Barrens
view or print   5597 Photo Observed smoke plume along the southeastern perimeter of the burn block during the 20 March 2011 prescribed fire experiment in the New Jersey Pine Barrens
view or print   5599 Photo Observed smoke in smoldering environment during the 20 March 2011 prescribed fire experiment in the New Jersey Pine Barrens
view or print go to website 6926 Invited Paper/Presentation Development of a Fine Scale Smoke Dispersion Modeling System: Part I-Validation of the Canopy Model Component
view or print go to website 6927 Poster A Numerical Study of High Frequency Velocity and Temperature Perturbations Induced by a Low-Intensity Prescribed Fire
view or print   6990 Computer Model/Software/Algorithm ARPS-CANOPY V1.0 Users Guide
view or print   6991 Computer Model/Software/Algorithm ARPS2PILT V1.0 Users Guide

Supporting Documents

There are no supporting documents available for this project.

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