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Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

The contribution of duff consumption to fire emissions and air pollution of the Rough Ridge Fire

Fengjun Zhao A B , Yongqiang Liu A D , Scott Goodrick A , Benjamin Hornsby A and Jeffrey Schardt C
+ Author Affiliations
- Author Affiliations

A Center for Forest Disturbance Science, USDA Forest Service, 320 Green Street, Athens, GA 30602, USA.

B Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, 2 Dongxiaofu, Xiangshan Road, Beijing 100091, PR China.

C Chattahoochee-Oconee National Forests, USDA Forest Service, 3941 Highway 76, Chatsworth, GA 30705, USA.

D Corresponding author. Email: yongqiang.liu@usda.gov

International Journal of Wildland Fire 28(12) 993-1004 https://doi.org/10.1071/WF18205
Submitted: 20 November 2018  Accepted: 10 September 2019   Published: 17 October 2019

Abstract

It is typically difficult to burn duff because of high fuel moisture; however, under persistent drought conditions, duff will burn readily. This study investigates the burning of a deep duff layer by the 2016 Rough Ridge Fire, in the southern United States, under drought conditions and evaluates the contribution of duff consumption to fire emissions and air pollution. Fuel loading was measured and used to evaluate the BlueSky framework. Smoke was simulated for three fuel loading and moisture scenarios of field measurement, BlueSky estimated fuel loading, and a hypothetical moist condition. The measured fuels had a very deep duff layer that had accumulated over decades due to the lack of historical fires, most of which was burned by the fire. The burning of this deep duff layer contributed substantially to the increased fire emissions at the fire site and the air pollution in metro Atlanta. In contrast, BlueSky under-predicted duff loading and fire emissions. As a result, no major air pollution episodes were predicted for metro Atlanta. The high-moisture scenario also failed to produce a major air-pollution episode within Atlanta, which highlights the contribution of the drought to the air-pollution episode within Atlanta.

Additional keywords: BlueSky, drought, FCCS, fuel sampling, HYSPLIT, United States.


References

Alrick D (2018) October 2017 Northern California Wildfires. In ‘NAQC 2018’, 25 January 2018, Austin, TX, USA. Available at https://www3.epa.gov/airnow/2018conference/Forecasting/Thursday/alrick.pdf [Verified 17 September 2019]

Anderson GK, Sandberg DV, Norheim RA (2004) Fire emission Production Simulator (FEPS) User’s Guide (Version 1.0). Available at https://www.fs.fed.us/pnw/fera/feps/FEPS_users_guide.pdf [Verified 17 September 2019]

Arthur MA, Blankenship BA, Schörgendorfer A, Alexander HD (2017) Alterations to the fuel bed after single and repeated prescribed fires in an Appalachian hardwood forest. Forest Ecology and Management 403, 126–136.
Alterations to the fuel bed after single and repeated prescribed fires in an Appalachian hardwood forest.Crossref | GoogleScholarGoogle Scholar |

Bilgili E, Coskuner KA, Usta Y, Saglam B, Kucuk O, Berber T, Goltas M (2019) Diurnal surface fuel moisture prediction model for Calabrian pine stands in Turkey. iForest – Biogeosciences and Forestry 12, 262–271.
Diurnal surface fuel moisture prediction model for Calabrian pine stands in Turkey.Crossref | GoogleScholarGoogle Scholar |

Block WM, Conner LM, Brewer PA, Ford P, Haufler J, Litt A, Masters RE, Mitchell LR, Park J (2016) Effects of prescribed fire on wildlife and wildlife habitat in selected ecosystems of North America. The Wildlife Society Technical Review 16-01. (The Wildlife Society: Bethesda, MD, USA). Available at http://wildlife.org/wp-content/uploads/2014/05/TechManual16-01FINAL.pdf [Verified 17 September 2019]

Delcourt HR, Delcourt PA (1997) Pre-Columbian native American use of fire on southern Appalachian landscapes. Conservation Biology 11, 1010–1014.
Pre-Columbian native American use of fire on southern Appalachian landscapes.Crossref | GoogleScholarGoogle Scholar |

Draxler RR, Rolph GD (2003) ‘HYSPLIT (Hybrid Single-Particle Lagranglan Integrated Trajectory) Model.’ (National Oceanic and Atmospheric Administration, Air Resources Laboratory: Silver Spring, MD, USA)

Flatley WT, Lafon CW, Grissino-Mayer HD, LaForest LB (2013) Fire history, related to climate and land use in three southern Appalachian landscapes in the eastern United States. Ecological Applications 23, 1250–1266.
Fire history, related to climate and land use in three southern Appalachian landscapes in the eastern United States.Crossref | GoogleScholarGoogle Scholar | 24147399PubMed |

Frandsen WH (1987) The influence of moisture and mineral soil on the combustion limits of smoldering forest duff. Canadian Journal of Forest Research 17, 1540–1544.
The influence of moisture and mineral soil on the combustion limits of smoldering forest duff.Crossref | GoogleScholarGoogle Scholar |

Frandsen WH (1997) Ignition probability of organic soils. Canadian Journal of Forest Research 27, 1471–1477.
Ignition probability of organic soils.Crossref | GoogleScholarGoogle Scholar |

Goodrick SL, Achtemeier GL, Larkin NK, Liu YQ, 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 |

Hille MG, Stephens SL (2005) Mixed conifer forest duff consumption during prescribed fires: tree crown impacts. Forest Science 51, 417–424.

Hoelzemann JJ, Schultz MG, Brasseur GP, Granier C, Simon M (2004) Global Wildland Fire Emission Model (GWEM): Evaluating the use of global area burnt satellite data. Journal of Geophysical Research 109, D14S04
Global Wildland Fire Emission Model (GWEM): Evaluating the use of global area burnt satellite data.Crossref | GoogleScholarGoogle Scholar |

Keane RE (2016) Spatiotemporal variability of wildland fuels in US northern Rocky Mountain forests. Forests 7, 129
Spatiotemporal variability of wildland fuels in US northern Rocky Mountain forests.Crossref | GoogleScholarGoogle Scholar |

Keetch JJ, Byram GM (1968) A drought index for forest fire control. USDA Forest Service, Southern Research Station, Research Paper SE-38 (revised 1988). (Asheville, NC, USA)

Konrad CE, Knox P (2017) The Southeastern Drought and wildfire of 2016. Available at http://www.sercc.com/NIDISDroughtAssessmentFINAL.pdf [Verified 17 September 2019]

Kreye JK, Varner JM, Dugaw CJ (2014) Spatial and temporal variability of forest floor duff characteristics in long-unburned Pinus palustris forests. Canadian Journal of Forest Research 44, 1477–1486.
Spatial and temporal variability of forest floor duff characteristics in long-unburned Pinus palustris forests.Crossref | GoogleScholarGoogle Scholar |

Larkin NK, O’Neill SM, Solomon R (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) Final report to the JFSP for Project #08-1-7-10: phase 1 of the Smoke and Emissions Model Intercomparison Project (SEMIP): creation of SEMIP and evaluation of current models. Available at https://www.firescience.gov/projects/08-1-6-10/project/08-1-6-10_final_report.pdf [Verified 17 September 2019]

Liu YQ (2017) Responses of dead forest fuel moisture to climate change. Ecohydrology
Responses of dead forest fuel moisture to climate change.Crossref | GoogleScholarGoogle Scholar |

Liu YQ, Goodrick S, Heilman W (2014) Wildland fire emissions, carbon, and climate: Wildfire–climate interactions. Forest Ecology and Management 317, 80–96.
Wildland fire emissions, carbon, and climate: Wildfire–climate interactions.Crossref | GoogleScholarGoogle Scholar |

Liu XX, Huey G, Yokelson RJ, Selimovic V, Simpson IJ, Müller M, Jimenez JL, Campuzano-Jost P, Beyersdorf AJ, Blake DR, Butterfield Z, Choi Y, Crounse JD, Day DA, Diskin GS, Dubey MK, Fortner E, Hanisco TF, Hu W, King LE, Kleinman L, Meinardi S, Mikoviny T, Onasch TB, Palm BB, Peischl J, Pollack IB, Ryerson TB, Sachse GW, Sedlacek AJ, Shilling JE, Springston S, Clair JMS, Tanner DJ, Teng AP, Wennberg PO, Wisthaler A, Wolfe JM (2017) Airborne measurements of western US wildfire emissions: Comparison with prescribed burning and air quality implications. Journal of Geophysical Research – D. Atmospheres 122, 6108–6129.
Airborne measurements of western US wildfire emissions: Comparison with prescribed burning and air quality implications.Crossref | GoogleScholarGoogle Scholar |

Mass CF, Ovens D (2018) The Northern California wildfires of October 8–9, 2017: the role of a major downslope wind event. In ‘Bulletin of the American Meteorological Society’. pp. 235–256. (American Meteorological Society)10.1175/BAMS-D-18-0037.1

McDowell I, Pierce T, Eder B, Foley K, Gilliam R, Pouliot G, Wilkins J (2017) PM2.5 concentrations observed and modeled for the 2016 southern Appalachian wildfire event. In ‘16th Annual CMAS Conference’, 23–25 October 2017, Chapel Hill, NC, USA. Available at https://cfpub.epa.gov/si/si_public_record_report.cfm?Lab=NERL&dirEntryId=338093 [Verified 17 September 2019]

Melvin MA (2012) 2012 National prescribed fire use survey report. Technical Report 01-12. Coalition of Prescribed Fire Councils, Inc. Available at https://www.frames.gov/catalog/12480 [Verified 17 September 2019]

Mitchell RJ, Hiers K, O’Brien JJ, Starr G (2009) Ecological forestry in the Southeast: understanding the ecology of fuels. Journal of Forestry 107, 391–397.

Navarro KM, Cisneros R, O’Neill SM, Schweizer D, Larkin NK, Balmes JR (2016) Air-quality impacts and intake fraction of PM2.5 during the 2013 Rim Megafire. Environmental Science & Technology 50, 11965–11973.
Air-quality impacts and intake fraction of PM2.5 during the 2013 Rim Megafire.Crossref | GoogleScholarGoogle Scholar |

O’Brien JJ, Hiers KJ, Mitchell RJ, Varner MJ, Mordecai K (2010) Acute physiological stress and mortality following fire in a long-unburned longleaf pine ecosystem. Fire Ecology 6, 1–12.
Acute physiological stress and mortality following fire in a long-unburned longleaf pine ecosystem.Crossref | GoogleScholarGoogle Scholar |

Ottmar RD (2014) Wildland fire emissions, carbon, and climate: modeling fuel consumption. Forest Ecology and Management 317, 41–50.
Wildland fire emissions, carbon, and climate: modeling fuel consumption.Crossref | GoogleScholarGoogle Scholar |

Ottmar RD, Andreu A (2007) Litter and duff bulk densities in the southern United States. Joint Fire Science Program Project #04-2-1-49. Final Report. Available at https://www.firescience.gov/projects/04-2-1-49/project/04-2-1-49_final_report.pdf [Verified 17 September 2019]

Pouliot G, Gilliam R, Eder B, McDowell I, Wilkins J, Pierce T (2017) Evaluating the wildfire emission estimates in an air quality simulation of the 2016 Southeastern United States Wildfires. In ‘International Emissions Inventory Conference’, 18 August 2017, Baltimore, MD, USA. Available at https://www.epa.gov/sites/production/files/2017-11/documents/evaluating_the_wildfire.pdf [Verified 17 September 2019]

Prichard SJ, Ottmar RD, Anderson GK (2006) Consume 3.0 user’s guide. USDA Forest Service, Pacific Northwest Research Station, Pacific Wildland Fire Sciences Laboratory, Fire and Environmental Research Applications Team. (Seattle, WA, USA)

Prichard SJ, Sandberg DV, Ottmar RD, Campbell PW (2015) FCCS User’s Guide. (Version 2.0). Department of Agriculture, Forest Service, Pacific Northwest Research Station, Seattle, WA.

Prichard SJ, Kennedy MC, Wright CS, Cronan JB, Ottmar RD (2017) Predicting forest floor and woody fuel consumption from prescribed burns in southern and western pine ecosystems of the United States. Data in Brief 15, 742–746.
Predicting forest floor and woody fuel consumption from prescribed burns in southern and western pine ecosystems of the United States.Crossref | GoogleScholarGoogle Scholar | 29124102PubMed |

Reilly M (2017) Landscape patterns of fire severity in the 2016 Fires in the southern Appalachian Mountains. In ‘7th International Fire Ecology and Management Congress’, 27 November–2 December 2017, Orlando, FL, USA.

Riebau AR, Fox D (2010) The new smoke management. International Journal of Wildland Fire 19, 415–427.

Robichaud PR, Miller SM (1999) Spatial interpolation and simulation of post-burn duff thickness after prescribed fire. International Journal of Wildland Fire 9, 137–143.
Spatial interpolation and simulation of post-burn duff thickness after prescribed fire.Crossref | GoogleScholarGoogle Scholar |

Varner JM, Gordon DR, Putz FE, Hiers JK (2005) Restoring fire to long-unburned Pinus palustris ecosystems: novel fire effects and consequences for long-unburned ecosystems. Restoration Ecology 13, 536–544.
Restoring fire to long-unburned Pinus palustris ecosystems: novel fire effects and consequences for long-unburned ecosystems.Crossref | GoogleScholarGoogle Scholar |

Varner JM, Putz FE, O’Brien JJ, Hiers JK, Mitchell RJ, Gordon DR (2009) Post-fire tree stress and growth following smoldering duff fires. Forest Ecology and Management 258, 2467–2474.
Post-fire tree stress and growth following smoldering duff fires.Crossref | GoogleScholarGoogle Scholar |

Varner JM, Kreye JK, Hiers JK, O’Brien JJ (2016) Recent advances in understanding duff consumption and post-fire longleaf pine mortality. In Proceedings of the 18th biennial southern silvicultural research conference’. (Eds CJ Schweitzer, WK Clatterbuck, CM Oswalt) USDA Forest Service, Southern Research Station, General Technical Report SRS-212. (Asheville, NC, USA)

Wiedinmyer C, Akagi SK, Yokelson RJ, Emmons LK, Al-Saadi JA, Orlando JJ, Soja AJ (2011) The fire Inventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning. Geoscientific Model Development Discussions 3, 2439–2476.
The fire Inventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning.Crossref | GoogleScholarGoogle Scholar |

Williams PA, Cook BI, Smerdon JE, Bishop DA, Seager R, Mankin JS (2017) The 2016 southeastern US drought: an extreme departure from centennial wetting and cooling. Journal of Geophysical Research – D. Atmospheres 122, 10888–10905.
The 2016 southeastern US drought: an extreme departure from centennial wetting and cooling.Crossref | GoogleScholarGoogle Scholar |

Yarnell SL (1998) The southern Appalachians: a history of the landscape. USDA Forest Service, Southern Research Station, General Technical Report SRS-18. (Asheville, NC, USA)