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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE (Open Access)

A comparison of smoke modelling tools used to mitigate air quality impacts from prescribed burning

Megan M. Johnson https://orcid.org/0000-0003-2243-7118 A and Fernando Garcia-Menendez https://orcid.org/0000-0003-0235-5692 A *
+ Author Affiliations
- Author Affiliations

A Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27606, USA.

* Correspondence to: f_garcia@ncsu.edu

International Journal of Wildland Fire 32(7) 1162-1173 https://doi.org/10.1071/WF22172
Submitted: 24 July 2022  Accepted: 28 April 2023   Published: 18 May 2023

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of IAWF. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Background: Prescribed fire is a land management tool used extensively across the United States. Owing to health and safety risks, smoke emitted by burns requires appropriate management. Smoke modelling tools are often used to mitigate air pollution impacts. However, direct comparisons of tools’ predictions are lacking.

Aims: We compared three tools commonly used to plan prescribed burning projects: the Simple Smoke Screening Tool, VSmoke and HYSPLIT.

Methods: We used each tool to model smoke dispersion from prescribed burns conducted by the North Carolina Division of Parks and Recreation over a year. We assessed similarity among the tools’ predicted smoke fields, areas of concern and potential population impacts.

Key results: The total smoke area predicted by the tools differs by thousands of square kilometres and, as such, spatial agreement was low. When translated into numbers of residents potentially exposed to smoke, tool estimates can vary by an order of magnitude.

Conclusions: Our analysis of an operational burning program suggests that the differences among the tools are significant and inconsistent.

Implications: While our analysis shows that improved and more consistent smoke modelling tools could better support land management, clear guidelines on how to apply their predictions are also necessary to obtain these benefits.

Keywords: air pollution, dispersion modelling, HYSPLIT, particulate matter, prescribed burn, prescribed fire, Simple Smoke Screening Tool, smoke, VSmoke.


References

Achtemeier GL (1998) Predicting dispersion and deposition of ash from burning cane. Sugar Cane 1, 17–22.

Achtemeier GL (2005) Planned Burn – Piedmont. A local operational numerical meteorological model for tracking smoke on the ground at night: model development and sensitivity tests. International Journal of Wildland Fire 14, 85–98.
Planned Burn – Piedmont. A local operational numerical meteorological model for tracking smoke on the ground at night: model development and sensitivity tests.Crossref | GoogleScholarGoogle Scholar |

Achtemeier GL, Goodrick SA, Liu Y, Garcia-Menendez F, Hu Y, Odman MT (2011) Modeling smoke plume-rise and dispersion from southern United States prescribed burns with daysmoke. Atmosphere 2, 358–388.
Modeling smoke plume-rise and dispersion from southern United States prescribed burns with daysmoke.Crossref | GoogleScholarGoogle Scholar |

Afrin S, Garcia‐Menendez F (2020) The Influence of Prescribed Fire on Fine Particulate Matter Pollution in the Southeastern United States. Geophysical Research Letters 47, e2020GL088988
The Influence of Prescribed Fire on Fine Particulate Matter Pollution in the Southeastern United States.Crossref | GoogleScholarGoogle Scholar |

Altshuler SL, Zhang Q, Kleinman MT, Garcia-Menendez F, Moore CT, Hough ML, Stevenson ED, Chow JC, Jaffe DA, Watson JG (2020) Wildfire and prescribed burning impacts on air quality in the United States. Journal of the Air & Waste Management Association 70, 961–970.
Wildfire and prescribed burning impacts on air quality in the United States.Crossref | GoogleScholarGoogle Scholar |

Anderson HE (1982) Aids to Determining Fuel Models For Estimating Fire Behavior. General Technical Report INT-122. (USDA Forest Service, Intermountain Forest and Range Experiment Station: Ogden, UT)
| Crossref |

Appel KW, Napelenok SL, Foley KM, Pye HOT, Hogrefe C, Luecken DJ, Bash JO, Roselle SJ, Pleim JE, Foroutan H, Hutzell WT, Pouliot GA, Sarwar G, Fahey KM, Gantt B, Gilliam RC, Heath NK, Kang D, Mathur R, Schwede DB, Spero TL, Wong DC, Young JO (2017) Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1. Geoscientific Model Development 10, 1703–1732.
Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1.Crossref | GoogleScholarGoogle Scholar |

Breyfogle S, Ferguson SA (1996) User assessment of smoke-dispersion models for wildland biomass burning. General Technical Report PNW-GTR-379. (USDA Forest Service, Pacific Northwest Research Station: Portland, OR)
| Crossref |

Byun D, Schere KL (2006) Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System. Applied Mechanics Reviews 59, 51–77.
Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System.Crossref | GoogleScholarGoogle Scholar |

Cascio WE (2018) Wildland fire smoke and human health. Science of the Total Environment 624, 586–595.
Wildland fire smoke and human health.Crossref | GoogleScholarGoogle Scholar |

Fire Consortia for Advanced Modeling of Meteorology and Smoke (2021) VSmoke-Web. Available at https://weather.gfc.state.ga.us/GoogleVsmoke/vsmoke-Good2.html

Fowler C, Konopik E (2007) The history of fire in the southern United States. Human Ecology Review 14, 165–176.

Frost CC (1998) Presettlement fire frequency regimes of the United States: a first approximation. In ‘Fire in ecosystem management: shifting the paradigm from suppression to prescription. Tall Timbers Fire Ecology Conference Proceedings, No. 20,’ 7-10 May 1996, Boise, ID. (Eds TL Pruden and LA Brennan) pp. 70–81. (Tall Timbers Research Station: Tallahassee, FL)

Garcia-Menendez F, Hu Y, Odman MT (2013) Simulating smoke transport from wildland fires with a regional-scale air quality model: Sensitivity to uncertain wind fields. Journal of Geophysical Research: Atmospheres 118, 6493–6504.
Simulating smoke transport from wildland fires with a regional-scale air quality model: Sensitivity to uncertain wind fields.Crossref | GoogleScholarGoogle Scholar |

Goodrick SL, Achtemeier GL, Larkin NK, Liu Y, Strand TM (2013) Modelling smoke transport from wildland fires: A review. International Journal of Wildland Fire 22, 83–94.
Modelling smoke transport from wildland fires: A review.Crossref | GoogleScholarGoogle Scholar |

Grell GA, Peckham SE, Schmitz R, McKeen SA, Frost G, Skamarock WC, Eder B (2005) Fully coupled ‘online’ chemistry within the WRF model. Atmospheric Environment 39, 6957–6975.
Fully coupled ‘online’ chemistry within the WRF model.Crossref | GoogleScholarGoogle Scholar |

Grell G, Freitas SR, Stuefer M, Fast J (2011) Inclusion of biomass burning in WRF-Chem: Impact of wildfires on weather forecasts. Atmospheric Chemistry and Physics 11, 5289–5303.
Inclusion of biomass burning in WRF-Chem: Impact of wildfires on weather forecasts.Crossref | GoogleScholarGoogle Scholar |

Haines TK, Busby RL, Cleaves DA (2001) Prescribed Burning in the South: Trends, Purpose, and Barriers. Southern Journal of Applied Forestry 25, 149–153.
Prescribed Burning in the South: Trends, Purpose, and Barriers.Crossref | GoogleScholarGoogle Scholar |

Hardy CC, Ottmar RD, Peterson JL, Core JE, Seamon P (2001) ‘Smoke Management Guide for Prescribed and Wildland fire’, 2001 edn. (National Wildfire Coordination Group Publication PMS 420-2, NFES 1279: Boise, ID)

Harrison H (1995) ‘A user’s guide to PUFFx: a disperson model for smoke management in complex terrain.’ (WYNDSoft, Inc.: Mercer Island, WA)

Huang R, Hu Y, Russell AG, Mulholland JA, Odman MT (2019) The impacts of prescribed fire on PM2.5 air quality and human health: Application to asthma-related emergency room visits in Georgia, USA. International Journal of Environmental Research and Public Health 16, 2312
The impacts of prescribed fire on PM2.5 air quality and human health: Application to asthma-related emergency room visits in Georgia, USA.Crossref | GoogleScholarGoogle Scholar |

Huang R, Lal R, Qin M, Hu Y, Russell AG, Odman MT, Afrin S, Garcia-Menendez F, O’Neill SM (2021) Application and evaluation of a low-cost PM sensor and data fusion with CMAQ simulations to quantify the impacts of prescribed burning on air quality in Southwestern Georgia, USA. Journal of the Air & Waste Management Association 71, 815–829.
Application and evaluation of a low-cost PM sensor and data fusion with CMAQ simulations to quantify the impacts of prescribed burning on air quality in Southwestern Georgia, USA.Crossref | GoogleScholarGoogle Scholar |

James NA, Abt KL, Frey GE, Han X, Prestemon JP (2020) Fire in the Southern Appalachians: Understanding Impacts, Interventions, and Future Fire Events. e-General Technical Report SRS-249. (USDA Forest Service, Southern Research Station: Asheville, NC)

Kobziar LN, Godwin D, Taylor L, Watts AC (2015) Perspectives on Trends, Effectiveness, and Impediments to Prescribed Burning in the Southern US Forests 6, 561–580.

Lafon CW (2010) Fire in the American South: Vegetation Impacts, History, and Climatic Relations. Geography Compass 4, 919–944.
Fire in the American South: Vegetation Impacts, History, and Climatic Relations.Crossref | GoogleScholarGoogle Scholar |

Larkin NK, O’Neill SM, Solomon R, Raffuse S, Strand T, Sullivan DC, Krull C, Rorig M, Peterson J, Ferguson SA (2009) The BlueSky smoke modeling framework. International Journal of Wildland Fire 18, 906–920.
The BlueSky smoke modeling framework.Crossref | GoogleScholarGoogle Scholar |

Larkin NK, Strand TM, Drury SA, Raffuse SM, Solomon RC, O’Neill SM, Wheeler N, Huang S, Rorig M, Hafner HR (2012) Phase 1 of the Smoke and Emissions Model Intercomparison Project (SEMIP): Creation of SEMIP and Evaluation of Current Models. JFSP Research Project Reports. 42. http://digitalcommons.unl.edu/jfspresearch/42

Larkin NK, Raffuse SM, Strand TM (2014) Wildland fire emissions, carbon, and climate: US emissions inventories. Forest Ecology and Management 317, 61–69.
Wildland fire emissions, carbon, and climate: US emissions inventories.Crossref | GoogleScholarGoogle Scholar |

Lavdas LG (1986) An atmospheric dispersion index for prescribed burning. Research Pap. SE–256. (US Department of Agriculture Forest Service, Southeastern Forest Experiment Station: Asheville, NC)

Lavdas LG (1996) Program VSMOKE—Users Manual. General Technical Report SRS-6. (US Department of Agriculture, Forest Service, Southern Research Station: Asheville, NC)
| Crossref |

Lipsett M, Materna B, Stone SL, Therriault S, Blaisdell R, Cook J (2008) Wildfire Smoke: A Guide for Public Health Officials. Available at https://www.amadorgov.org/home/showpublisheddocument/352/635219509683530000

Liu Y, Kochanski A, Baker KR, Mell W, Linn R, Paugam R, Mandel J, Fournier A, Jenkins MA, Goodrick S, Achtemeier G, Zhao F, Ottmar R, French NHF, Larkin N, Brown T, Hudak A, Dickinson M, Potter B, Clements C, Urbanski S, Prichard S, Watts A, McNamara D (2019) Fire behaviour and smoke modelling: Model improvement and measurement needs for next-generation smoke research and forecasting systems. International Journal of Wildland Fire 28, 570–588.
Fire behaviour and smoke modelling: Model improvement and measurement needs for next-generation smoke research and forecasting systems.Crossref | GoogleScholarGoogle Scholar |

Mandel J, Beezley JD, Kochanski AK (2011) Coupled atmosphere–wildland fire modeling with WRF 3.3 and SFIRE 2011. Geoscientific Model Development 4, 591–610.
Coupled atmosphere–wildland fire modeling with WRF 3.3 and SFIRE 2011.Crossref | GoogleScholarGoogle Scholar |

Mandel J, Amram S, Beezley JD, Kelman G, Kochanski AK, Kondratenko VY, Lynn BH, Regev B, Vejmelka M (2014) Recent advances and applications of WRF-SFIRE. Natural Hazards and Earth System Sciences 14, 2829–2845.
Recent advances and applications of WRF-SFIRE.Crossref | GoogleScholarGoogle Scholar |

Melvin MA (2012) National prescribed fire use survey report. Coalition of Prescribed Fire Councils. Technical Report 01-12. Available at https://prescribedfire.net

Melvin MA (2020) National Prescribed Fire Use Survey Report. Technical Bulletin 04-20. Coalition of Prescribed Fire Councils, Inc. and National Association of State Foresters. Available at https://www.prescribedfire.net/pdf/2020-Prescribed-Fire-Use-Report.pdf

Miller C, O’Neill S, Rorig M, Alvarado E (2019) Air-quality challenges of prescribed fire in the complex terrain and wildland urban interface surrounding Bend, Oregon. Atmosphere 10, 515
Air-quality challenges of prescribed fire in the complex terrain and wildland urban interface surrounding Bend, Oregon.Crossref | GoogleScholarGoogle Scholar |

Mitchell RJ, Liu Y, O’Brien JJ, Elliott KJ, Starr G, Miniat CF, Hiers JK (2014) Future climate and fire interactions in the southeastern region of the United States. Forest Ecology and Management 327, 316–326.
Future climate and fire interactions in the southeastern region of the United States.Crossref | GoogleScholarGoogle Scholar |

Mobley HE (1976) ‘Southern Forestry Smoke Management Guidebook.’ USDA Forest Service, Southeastern Forest Experiment Station Gen. Tech. Rep. SE-10 (Asheville, NC and Macon, GA)

NCFS (2020) ‘The North Carolina Smoke Management Program: Guidelines for Managing Smoke from Forestry Burning Operations.’ (North Carolina Forest Service: Raleigh, NC)

NOAA Earth Systems Research Laboratory (2015) High-Resolution Rapid Refresh (HRRR). Available at https://rapidrefresh.noaa.gov/hrrr/

North Carolina General Statutes (1999) ‘North Carolina Prescribed Burning Act.’ Ch. 106, Article 80. Available at https://www.ncleg.net/EnactedLegislation/Statutes/HTML/ByArticle/Chapter_106/Article_80.html

NWCG (2020) ‘NWCG Smoke Management Guide for Prescribed Fire.’ (National Wildfire Coordinating Group Publication PMS 420-2, NFES 001279)

Odman MT, Huang R, Pophale AA, Sakhpara RD, Hu Y, Russell AG, Chang ME (2018) Forecasting the impacts of prescribed fires for dynamic air quality management. Atmosphere 9, 220
Forecasting the impacts of prescribed fires for dynamic air quality management.Crossref | GoogleScholarGoogle Scholar |

O’Neill SM, Larkin N, (Sim) K, Hoadley J, Mills G, Vaughan JK, Draxler RR, Rolph G, Ruminski M, Ferguson SA (2008) Chapter 22 Regional Real-Time Smoke Prediction Systems. Developments in Environmental Science 8, 499–534.
Chapter 22 Regional Real-Time Smoke Prediction Systems.Crossref | GoogleScholarGoogle Scholar |

Ottmar R, Brown TJ, French NHF, Larkin NK (2017) Fire and Smoke Model Evaluation Experiment (FASMEE) study plan. Joint Fire Sciences Program Project 15-S-01-01, Available at https://www.firescience.gov/projects/15-S-01-01/project/15-S-01-01_FASMEE_StudyPlan_Final_07-11-17.pdf

Prichard S, Larkin NS, Ottmar R, French NHF, Baker K, Brown T, Clements C, Dickinson M, Hudak A, Kochanski A, Linn R, Liu Y, Potter B, Mell W, Tanzer D, Urbanski S, Watts A (2019) The Fire and Smoke Model Evaluation Experiment – A plan for integrated, large fire-atmosphere field campaigns. Atmosphere 10, 66
The Fire and Smoke Model Evaluation Experiment – A plan for integrated, large fire-atmosphere field campaigns.Crossref | GoogleScholarGoogle Scholar |

Reid CE, Brauer M, Johnston FH, Jerrett M, Balmes JR, Elliott CT (2016) Critical review of health impacts of wildfire smoke exposure. Environmental Health Perspectives 124, 1334–1343.
Critical review of health impacts of wildfire smoke exposure.Crossref | GoogleScholarGoogle Scholar |

Rolph G, Stein A, Stunder B (2017) Real-time Environmental Applications and Display sYstem: READY. Environmental Modelling & Software 95, 210–228.
Real-time Environmental Applications and Display sYstem: READY.Crossref | GoogleScholarGoogle Scholar |

Rolph GD, Draxler RR, Stein AF, Taylor A, Ruminski MG, Kondragunta S, Zeng J, Huang H-C, Manikin G, McQueen JT, Davidson PM (2009) Description and Verification of the NOAA Smoke Forecasting System: The 2007 Fire Season. Weather and Forecasting 24, 361–378.
Description and Verification of the NOAA Smoke Forecasting System: The 2007 Fire Season.Crossref | GoogleScholarGoogle Scholar |

Scire JS, Strimaitis DG, Yamartino RJ (2000) ‘A User’s Guide for the CALPUFF Dispersion Model.’ (Earth Tech, Inc.: Concord, MA)
| Crossref |

Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Duda MG, Huang X-Y, Wang W, Powers JG (2008) A Description of the Advanced Research WRF Version 3. National Center for Atmospheric Research, Mesoscale and Microscale Meteorology Division Technical Note NCAR/TN–475+STR. (University Corporation for Atmospheric Research: Boulder, CO)
| Crossref |

Southern Fire Exchange (2021) Models. Available at https://southernfireexchange.org/models-tools-apps/

Stein AF, Draxler RR, Rolph GD, Stunder BJB, Cohen MD, Ngan F (2015) NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System. Bulletin of the American Meteorological Society 96, 2059–2077.
NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System.Crossref | GoogleScholarGoogle Scholar |

Turner DB (1970) ‘Workbook of atmospheric dispersion estimates.’ (US Environmental Protection Agency, Office of Air Programs Publication AP-26: Research Triangle Park, NC)

US EPA (2018) Technical Assistance Document for the Reporting of Daily Air Quality – the Air Quality Index (AQI). Air Quality Assessment Division Report EPA 454/B-18-007 (US Environmental Protection Agency, Office of Air Quality Planning and Standards: Research Triangle Park, NC)

US EPA (2021) 2017 National Emissions Inventory: January 2021 Updated Release, Technical Support Document. Air Quality Assessment Division, Emissions Inventory and Analysis Group Report. (US Environmental Protection Agency, Office of Air Quality Planning and Standards: Research Triangle Park, NC)

USFS (2017) Using Smoke Modeling Tools for Prescribed Fire Planning and Implementation: A Quick Set of Instructions. p. 23. (USDA Forest Service, Region 8 Air Resource Team). Available at https://webcam.srs.fs.usda.gov/tools/vsmoke/FEPS%20VSMOKE%20and%20HYSPLIT%20Instructions.pdf

Wade D, Mobley H (2007) Managing smoke at the wildland-urban interface. General Technical Report SRS-103. (USDA Forest Service, Southern Research Station: Asheville, NC)

Wade DD, Lunsford JD (1989) Smoke Management - A Guide for Prescribed Fire in Southern Forests. Southern Region Technical Publication R8-TP 11. (USDA Forest Service: Atlanta, GA)

Wilkins JL, Pouliot G, Foley K, Appel W, Pierce T (2018) The impact of US wildland fires on ozone and particulate matter: A comparison of measurements and CMAQ model predictions from 2008 to 2012. International Journal of Wildland Fire 27, 684–698.
The impact of US wildland fires on ozone and particulate matter: A comparison of measurements and CMAQ model predictions from 2008 to 2012.Crossref | GoogleScholarGoogle Scholar |

Yang ES, Christopher SA, Kondragunta S, Zhang X (2011) Use of hourly Geostationary Operational Environmental Satellite (GOES) fire emissions in a Community Multiscale Air Quality (CMAQ) model for improving surface particulate matter predictions. Journal of Geophysical Research: Atmospheres 116, D04303
Use of hourly Geostationary Operational Environmental Satellite (GOES) fire emissions in a Community Multiscale Air Quality (CMAQ) model for improving surface particulate matter predictions.Crossref | GoogleScholarGoogle Scholar |