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What drives spatial variability in rainfall intensity-duration thresholds for post-wildfire debris flows? Insights from the 2018 Buzzard Fire, NM, USA

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Abstract

Wildfire alters the hydrologic and geomorphic responses of burned areas relative to nearby unburned areas, making them more prone to runoff, erosion, and debris flow. In post-wildfire settings, debris flows often initiate when runoff concentrates on steep slopes and rapidly mobilizes sediment. Rainfall intensity-duration (ID) thresholds have been proven useful for assessing post-fire debris-flow potential but can vary substantially from one location to another as a result of hydrologic factors that control rainfall-runoff partitioning. Debris-flow initiation thresholds based on a slope-dependent dimensionless discharge criterion, which have the theoretical benefit of being consistent from site to site, have also been proposed but not extensively tested. We monitored debris-flow activity in 12 small (< 1 km2) watersheds burned by the 2018 Buzzard Fire in New Mexico, USA, documenting 24 debris flows during the first several months following the wildfire. We use a recently proposed dimensionless-discharge threshold in combination with rainfall-runoff modeling to estimate basin-specific rainfall ID thresholds for debris-flow initiation. These model-derived thresholds compare well with observations. Areas burned at low severity are characterized by higher infiltration capacity, rainfall interception, and hydraulic roughness relative to areas burned at moderate or high severity, but differences in rainfall ID thresholds between these two areas can be predominantly attributed to wildfire-induced changes in hydraulic roughness. Results highlight the utility of thresholds based on dimensionless discharge relative to those based on rainfall intensity and also provide additional data that will help constrain general models for the prediction of rainfall ID thresholds.

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References

  • Canfield HE, Goodrich DC, Burns IS (2005) Selection of parameters values to model post-fire runoff and sediment transport at the watershed scale in southwestern forests. In: Managing watersheds for human and natural impacts: engineering, ecological, and economic challenges. pp 1–12

  • Cannon SH (2001) Debris-flow generation from recently burned watersheds. Environ Eng Geosci 7:321–341

    Google Scholar 

  • Cannon SH, Gartner JE, Wilson RC, Bowers JC, Laber JL (2008) Storm rainfall conditions for floods and debris flows from recently burned areas in southwestern Colorado and southern California. Geomorphology 96:250–269

    Google Scholar 

  • Carsel RF, Parrish RS (1988) Developing joint probability distributions of soil water retention characteristics. Water Resour Res 24:755–769

    Google Scholar 

  • Coe JA, Kinner DA, Godt JW (2008) Initiation conditions for debris flows generated by runoff at Chalk Cliffs, Central Colorado. Geomorphology 96:270–297

    Google Scholar 

  • Costa JE (1988) Rheologic, geomorphic, and sedimentologic differentiation of water floods, hyperconcentrated flows, and debris flows. Flood Geomorphol 1988:113–122

    Google Scholar 

  • DeBano LF (2000) The role of fire and soil heating on water repellency in wildland environments: a review. J Hydrol 231:195–206

    Google Scholar 

  • DiBiase RA, Lamb MP (2020) Dry sediment loading of headwater channels fuels post-wildfire debris flows in bedrock landscapes. Geology 48:189–193. https://doi.org/10.1130/G46847.1

    Article  Google Scholar 

  • Ebel BA, Martin DA (2017) Meta-analysis of field-saturated hydraulic conductivity recovery following wildland fire: applications for hydrologic model parameterization and resilience assessment. Hydrol Process 31:3682–3696. https://doi.org/10.1002/hyp.11288

    Article  Google Scholar 

  • Ebel BA, Moody JA (2017) Synthesis of soil-hydraulic properties and infiltration timescales in wildfire-affected soils. Hydrol Process 31:324–340. https://doi.org/10.1002/hyp.10998

    Article  Google Scholar 

  • Gabet EJ, Bookter A (2008) A morphometric analysis of gullies scoured by post-fire progressively bulked debris flows in Southwest Montana, USA. Geomorphology 96:298–309

    Google Scholar 

  • Gregoretti C (2000) Experimental evidence from the triggering of debris flow along a granular slope. Phys Chem Earth, Part B Hydrol Ocean Atmos 25:387–390. https://doi.org/10.1016/S1464-1909(00)00031-9

    Article  Google Scholar 

  • Gregoretti C, Dalla Fontana G (2008) The triggering of debris flow due to channel-bed failure in some alpine headwater basins of the dolomites: analyses of critical runoff. Hydrol Process 22:2248–2263. https://doi.org/10.1002/hyp.6821

    Article  Google Scholar 

  • Hungr O, Evans SG, Bovis MJ, Hutchinson JN (2001) A review of the classification of landslides of the flow type. Environ Eng Geosci 7:221–238

    Google Scholar 

  • Ivanov VY, Vivoni ER, Bras RL, Entekhabi D (2004) Catchment hydrologic response with a fully distributed triangulated irregular network model. Water Resour Res:40

  • Iverson RM, Reid ME, LaHusen RG (1997) Debris-flow mobilization from landslides 1. Annu Rev Earth Planet Sci 25:85–138

    Google Scholar 

  • Jackson M, Roering JJ (2009) Post-fire geomorphic response in steep, forested landscapes: Oregon Coast Range, USA. Quat Sci Rev 28:1131–1146

    Google Scholar 

  • Kean JW, Staley DM, Cannon SH (2011) In situ measurements of post-fire debris flows in southern California: comparisons of the timing and magnitude of 24 debris-flow events with rainfall and soil moisture conditions. J Geophys Res Earth Surf 116:1–21. https://doi.org/10.1029/2011JF002005

    Article  Google Scholar 

  • Kean JW, Staley DM, Leeper RJ, Schmidt KM, Gartner JE (2012) A low-cost method to measure the timing of postfire flash floods and debris flows relative to rainfall. Water Resour Res 48

  • Kean JW, McGuire LA, Rengers FK et al (2016) Amplification of postwildfire peak flow by debris. Geophys Res Lett 43:8545–8553

    Google Scholar 

  • Lamb MP, Scheingross JS, Amidon WH et al (2011) A model for fire-induced sediment yield by dry ravel in steep landscapes. J Geophys Res:116

  • Larsen IJ, MacDonald LH, Brown E et al (2009) Causes of post-fire runoff and erosion: water repellency, cover, or soil sealing? Soil Sci Soc Am J 73:1393–1407

    Google Scholar 

  • MacDonald LH, Huffman EL (2004) Post-fire soil water repellency: persistence and soil moisture thresholds. Soil Sci Soc Am J 68:1729–1734. https://doi.org/10.2136/sssaj2004.1729

    Article  Google Scholar 

  • McGuire LA, Youberg AM (2019) Impacts of successive wildfire on soil hydraulic properties: implications for debris flow hazards and system resilience. Earth Surf Process Landforms 44:2236–2250. https://doi.org/10.1002/esp.4632

    Article  Google Scholar 

  • McGuire LA, Rengers FK, Kean JW et al (2018) Incorporating spatially heterogeneous infiltration capacity into hydrologic models with applications for simulating post-wildfire debris flow initiation. Hydrol Process 32:1173–1187. https://doi.org/10.1002/hyp.11458

    Article  Google Scholar 

  • McGuire LA, Rengers FK, Kean JW et al (2019) Looking through the window of disturbance at post-wildfire debris-flow hazards. In: Kean JW, Coe JA, Santi PM, Guillen B (eds) Debris-flow hazards mitigation: mechanics, monitoring, modeling, and assessment. Association of Environmental and Engineering Geologists, pp 516–523

  • Moody JA, Ebel BA (2012) Hyper-dry conditions provide new insights into the cause of extreme floods after wildfire. Catena 93:58–63

    Google Scholar 

  • Moody JA, Shakesby RA, Robichaud PR, Cannon SH, Martin DA (2013) Current research issues related to post-wildfire runoff and Erosion processes. Earth-Science Rev 122:10–37

    Google Scholar 

  • Nyman P, Sheridan G, Smith HG, Lane PNJ (2011) Evidence of debris flow occurrence after wildfire in upland catchments of South-East Australia. Geomorphology 125:383–401

    Google Scholar 

  • Parsons A, Robichaud PR, Lewis SA et al (2010) Field guide for mapping post-fire soil burn severity. USDA For Serv - Gen Tech Rep RMRS-GTR:1–49. https://doi.org/10.2737/RMRS-GTR-243

  • Prancevic JP, Lamb MP, Fuller BM (2014) Incipient sediment motion across the river to debris-flow transition. Geology 42:191–194

    Google Scholar 

  • Ratte J (2001) Geologic map of the Tularosa Mountains 30′ × 60′ quadrangle, Catron County, New Mexico: U.S. Geological Survey Geologic Investigations Series Map I-2619, U.S. Geological Survey, Denver, Colorado

  • Raymond CA, McGuire LA, Youberg AM et al (2019) Thresholds for post-wildfire debris flows: insights from the Pinal Fire, Arizona. USA Earth Surf Process Landforms 45:1349–1360. https://doi.org/10.1002/esp.4805

    Article  Google Scholar 

  • Raymond CA, McGuire LA, Youberg AM et al (2020) Thresholds for post-wildfire debris flows: insights from the Pinal Fire, Arizona, USA. Earth Surf Process Landforms

  • Rengers FK, McGuire LA, Kean JW et al (2016a) Model simulations of flood and debris flow timing in steep catchments after wildfire. Water Resour Res 52:6041–6061. https://doi.org/10.1002/2015WR018176

    Article  Google Scholar 

  • Rengers FK, Tucker GE, Moody JA, Ebel BA (2016b) Illuminating wildfire erosion and deposition patterns with repeat terrestrial lidar. J Geophys Res Earth Surf 121:588–608

    Google Scholar 

  • Robichaud PR (2000) Fire effects on infiltration rates after prescribed fire in Northern Rocky Mountain forests, USA. J Hydrol 231:220–229

    Google Scholar 

  • Rutter AJ, Kershaw KA, Robins PC, Morton AJ (1972) A predictive model of rainfall interception in forests, 1. Derivation of the model from observations in a plantation of Corsican pine. Agric Meteorol 9:367–384

    Google Scholar 

  • Rutter AJ, Morton AJ, Robins PC (1975) A predictive model of rainfall interception in forests. II. Generalization of the model and comparison with observations in some coniferous and hardwood stands. J Appl Ecol:367–380

  • Savage SB, Iverson RM (2003) Surge dynamics coupled to pore-pressure evolution in debris flows. In: Rickenmann, D. and Chen, CL (eds) Proc. 3rd Int. Conf. on debris-flow hazards mitigation: mechanics, prediction, and assessment, Davos, Switzerland. Millpress, Rotterdam. pp 503–514

  • Shakesby RA, Doerr SH (2006) Wildfire as a hydrological and geomorphological agent. Earth-Science Rev 74:269–307

    Google Scholar 

  • Shuttleworth WJ (1979) Evaporation. In: Inst. Hydrol. Rept No. 56. Wallingford, UK: Institute of Hydrology

  • Staley DM, Kean JW, Cannon SH, Schmidt KM, Laber JL (2013) Objective definition of rainfall intensity-duration thresholds for the initiation of post-fire debris flows in southern California. Landslides 10:547–562. https://doi.org/10.1007/s10346-012-0341-9

    Article  Google Scholar 

  • Staley DM, Negri JA, Kean JW, Laber JL, Tillery AC, Youberg AM (2017) Prediction of spatially explicit rainfall intensity--duration thresholds for post-fire debris-flow generation in the western United States. Geomorphology 278:149–162

    Google Scholar 

  • Stoof CR, Vervoort RW, Iwema J, van den Elsen E, Ferreira AJD, Ritsema CJ (2012) Hydrological response of a small catchment burned by experimental fire. Hydrol Earth Syst Sci 16:267–285

    Google Scholar 

  • Stoof CR, Ferreira AJD, Mol W, van den Berg J, de Kort A, Drooger S, Slingerland EC, Mansholt AU, Ferreira CSS, Ritsema CJ (2015) Soil surface changes increase runoff and erosion risk after a low-moderate severity fire. Geoderma 239:58–67. https://doi.org/10.1016/j.geoderma.2014.09.020

    Article  Google Scholar 

  • Tang H, McGuire LA, Rengers FK et al (2019a) Evolution of debris-flow initiation mechanisms and sediment sources during a sequence of post-wildfire rainstorms. J Geophys Res Earth Surf 124:1–24. https://doi.org/10.1029/2018jf004837

    Article  Google Scholar 

  • Tang H, McGuire LA, Rengers FK et al (2019b) Developing and testing physically based triggering thresholds for runoff-generated debris flows. Geophys Res Lett 46:8830–8839

    Google Scholar 

  • Tarboton DG (1997) A new method for the determination of flow directions and upslope areas in grid digital elevation models. Water Resour Res 33:309–319

    Google Scholar 

  • USDA Forest Service (2020) BAER Imagery Support Data Download. https://fsapps.nwcg.gov/baer/baer-imagery-support-data-download. Accessed 1 Jun 2020

  • Vandervaere J-P, Vauclin M, Elrick DE (2000) Transient flow from tension infiltrometers II. Four methods to determine sorptivity and conductivity. Soil Sci Soc Am J 64:1272–1284

    Google Scholar 

  • VanDine DF (1985) Debris flows and debris torrents in the southern Canadian Cordillera. Can Geotech J 22:44–68

    Google Scholar 

  • Western Regional Climate Center (2019) Reserve RS, New Mexico: Period of Record Monthly Climate Summary. https://wrcc.dri.edu/cgi-bin/cliMAIN.pl?nm7386. Accessed 27 Dec 2019

  • Youberg AM (2014) Modern and ancient debris flows in Arizona. University of Arizona

  • Zhang R (1997) Determination of soil sorptivity and hydraulic conductivity from the disk infiltrometer. Soil Sci Soc Am J 61:1024–1030

    Google Scholar 

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Acknowledgments

The numerical model (KWAVE) used to simulate runoff is available through the Community Surface Dynamics Modeling System (CSDMS) model repository. Measurements of field saturated hydraulic conductivity and sorptivity are included in the Supporting Information. We thank the Gila National Forest, Mike Natharius, John Pierson, and Carolyn Koury for their help with facilitating this study as well as Iaos Lizarazu, Jake Ridlinghafer, Carissa Raymond, and Hui Tang for their assistance with field work.

Funding

This work was supported by Science Foundation Arizona through the Bisgrove Scholars program.

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Authors and Affiliations

  1. Department of Geosciences, The University of Arizona, Gould-Simpson Building, 1040 East Fourth Street, Tucson, AZ, 85721, USA

    Luke A. McGuire

  2. Arizona Geological Survey, The University of Arizona, 1955 E 6th St, Tucson, AZ, 85721, USA

    Ann M. Youberg

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  1. Luke A. McGuire
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Correspondence to Luke A. McGuire.

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McGuire, L.A., Youberg, A.M. What drives spatial variability in rainfall intensity-duration thresholds for post-wildfire debris flows? Insights from the 2018 Buzzard Fire, NM, USA. Landslides 17, 2385–2399 (2020). https://doi.org/10.1007/s10346-020-01470-y

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