+ All Categories
Home > Documents > Identification of Debris Flow ‘Mudflow’ Hazards for …Identification of Debris Flow...

Identification of Debris Flow ‘Mudflow’ Hazards for …Identification of Debris Flow...

Date post: 10-Mar-2020
Category:
Upload: others
View: 1 times
Download: 0 times
Share this document with a friend
19
Identification of Debris Flow ‘Mudflow’ Hazards for Assessment of Alluvial Fan Flooding Flooding Aspects on Alluvial Fans Floodplain Management Association – Annual Conference September 10, 2015 ---------------------------- Jeremy T. Lancaster California Geological Survey
Transcript
  • Identification of Debris Flow ‘Mudflow’ Hazards for Assessment of Alluvial Fan Flooding

    Flooding Aspects on Alluvial Fans Floodplain Management Association – Annual ConferenceSeptember 10, 2015----------------------------Jeremy T. LancasterCalifornia Geological Survey

  • • Processes: debris flows have two faces• Debris flow properties• Regulatory definitions

    – Brief historical context • Hazard identification• Frequency and magnitude• Examples

    Highlights

  • • Debris flow: a form of rapid mass movement in which a combination of loose soil, rock, organic matter, air, and water mobilize [and liquefy] in a slurry the flows down slope

    Defined

  • • Slope translational failure* *starts with a landslide

    – Initiation by failure of discrete landslide masses occurs on hillslopes – Results from infiltration into colluvial and weak geologic deposits– Prolonged rainfall, commonly a day or longer (Cannon and Gartner,

    2008)– Short runout, load channel networks– Pore pressure increases and reduces effective stress– Gartner (2008) analyzed 210 debris flow occurrances after fire,

    finding that only 16% of the debris flows initiated by this process

    Debris flow processes – Starts as a solid

  • • Runoff initiated* debris flows*starts with H20 becomes a landslide

    – Post-wildfire impacted watersheds– Progressive bulking of surface runoff – Some sediment entrained by rilling on canyon slopes– Most sediment entrained by channel scour and bank collapse– Threshold location in channel network– Long runout events, up to 1,500,000 cubic meters– Gartner (2008) analyzed 210 debris flow ocurrances after fire,

    finding that 76% of the debris flows initiated by this process – Triggering rainfall thresholds are achieved in minutes

    Debris flow processes- Starts with H20

    Source: USGS 2015http://landslides.usgs.gov/research/wildfire/whattodo.php

    http://landslides.usgs.gov/research/wildfire/whattodo.php

  • Sediment-water ratios, deposits

    Flow Type Sediment Load‡ Sedimentary Structures Deposits and LandformsPercent By

    weight*Percent By volume†

    Streamflow 1-40 0.4-20

    Well to moderately sorted, stratified to massive; weak to strong imbrication; cut-and-fill

    structures; ungraded to graded

    Bar and swale, fans, sheets, splays; channels have high

    width-to-depth ratios

    Hyperconcentrated flow 40-70 20-60

    Poorly sorted and weakly stratified to massive; thin

    gravel lenses; clast supported; normal and reverse grading

    Similar to streamflow; transitioning to sheets, splays and lobes at the higher end of

    the sediment/water continuum

    Debris flow 70-90 >60

    Very poor to extremely poorly sorted; no stratification; weak

    to no imbrication; matrix supported; inverse grading at base; normal grading near top

    Marginal levees, terminal lobes, boulder fields (in

    coarse-grained viscous flows); sheets, lobes, and splays (in finer-grained fluidized flows

    with lower viscosity)

    ‡These values are general guidelines used to classify flow types in a continuum of sediment, debris and water mixtures.*Values are provided in Costa, 1984, reportedly assuming

  • FEMA definition of flooding• NFIP –Title 44, CFR 59.1, Definitions :

    – Flooding Means: • A) A general and temporary condition of partial or complete inundation of normally dry

    land areas from:1) The overflow of inland tidal waters2) The unusual and rapid accumulation of runoff of surface waters from any source3) Mudslides (i.e. Mudflows) which are proximately caused by flooding as defined in

    paragraph (a) (2) of this definition and are akin to a river of liquid and flowing mud on the surface of normally dry land areas, as when earth is carried by current of water and deposited along the path of a current

    – (Graf 1988): Components of a fluvial system:• Surface Waters• Stream Waters • Flood Waters“Once [surface waters are] collected into a watercourse, the flow is designated a stream

    water (Martinez vs. Cooke), and if it leaves the channel through overflow, it is designated as floodwater (Mader vs. Mettenbrink, Maricopa County Municipal Water Conservation District No.1 vs. Warford, Southern Pacific Company vs. Proebstel)

    - “A watercourse…[has] a definite bed and well marked banks.”

    Regulatory framework

  • • Where does ‘Mudflow’ come from (NRC, 1982)

    • Mud flows – A subset of landslides whose dominant transport mechanism is that of a flow having sufficient viscosity to support large boulders within a matrix of smaller sized particles.

    Regulatory framework

  • USGS definition (Current Geological Terminology)Debris Flow: “…a form of rapid mass movement in which a combination of loose soil, rock, organic matter, air, and water mobilize [and liquefy] in a slurry the flows down slope.” Typically have

  • Bulking Factor = 1/(1-CV)Where CV is equal to the sediment volume expressed in decimal percent (Hamilton and Fan, 1996)

    Values used for long-term design (from LADPW, 2006; Gusman, 2011):• Ventura County: 1.2 – 1.75 • Los Angeles County: 2.0 (DPA-1)• San Diego County: 1.5 - 2.0• San Bernardino County: 2.0• FEMA: 1.1 - 1.5• AFTF: Suggest using 2.5 for debris flow • Shuirman and Slosson (1992) reported as high as 3.2 following a fire

    *Error ranges in debris basin cleanout volumes: -45% to +80% (Santi and Morandi, 2012)

    Buking factors in practice

  • Debris Flow Hazards (pre-typing)• Identification Methods

  • Debris Flow Hazards (pre-typing)• Identification Methods

  • Debris Flow Hazards (pre-typing)Watershed Morphometric Factors

    – Relief Ratio– Meltons #– Meltons # + Plannimetric Length

    Watershed Factors used in USGS Debris Flow Models (sounthern Cal)Gartner et al. (2014) Mean Min MaxMeltons # 0.51 0.12 1.03Relief Ratio 0.24 0.05 0.71Mean Slope (%) 57.8 18.7 84.8Watershed Burn (%) 81.7 5 100

    Wilford (2005) Non-FireMeltons # >0.30Meltons # and Plannimetric Length >0.60 and ≥ 2.7km

    Bovis and Jakob (1999) Non-fire Meltons # >0.52

    (R = Meltons#, WL = Plannimetric Length; Welsh and Davies, 2011) (Jackson et al., 1987)

    Sheet1

    Drainage Basin NamePushwallaOak CreekHanesSan Jacinto

    Area (square miles)19.524.30.90.3

    Mean Slope (%)36.652.948.747.7

    Max Elevation (ft)5,21513,2182,1763,681

    Annual Precip (in)10.420.519.817.7

    Relief Ratio0.0750.170.140.39

    Watershed Geology Granite/GneissGraniteShale/SstGranite

    Watershed Factors used in USGS Debris Flow Models (sounthern Cal)

    Gartner et al. (2014)MeanMin Max

    Meltons #0.510.121.03

    Relief Ratio0.240.050.71

    Mean Slope (%)57.818.784.8

    Watershed Burn (%)81.75100

    Wilford (2005) Non-Fire

    Meltons #>0.30

    Meltons # and Plannimetric Length>0.60 and ≥ 2.7km

    Bovis and Jakob (1999) Non-fire

    Meltons #>0.52

    Pak (2009) Debris prediction Model

    Relief Ratio

    Sheet1

    Drainage Basin NamePushwallaOak CreekHanesSan Jacinto

    Area (square miles)19.524.30.90.3

    Mean Slope (%)36.652.948.747.7

    Max Elevation (ft)5,21513,2182,1763,681

    Annual Precip (in)10.420.519.817.7

    Relief Ratio0.0750.170.140.39

    Watershed Geology Granite/GneissGraniteShale/SstGranite

    Watershed Factors used in USGS Debris Flow Models (sounthern Cal)

    Gartner et al. (2014)MeanMin Max

    Meltons #0.510.121.03

    Relief Ratio0.240.050.71

    Mean Slope (%)57.818.784.8

    Watershed Burn (%)81.75100

    Wilford (2005) Non-Fire

    Meltons #>0.30

    Meltons # and Plannimetric Length>0.60 and ≥ 2.7km

    Bovis and Jakob (1999) Non-fire

    Meltons #>0.52

    Pak (2009) Debris prediction Model

    Relief Ratio

    Sheet1

    Drainage Basin NamePushwallaOak CreekHanesSan Jacinto

    Area (square miles)19.524.30.90.3

    Mean Slope (%)36.652.948.747.7

    Max Elevation (ft)5,21513,2182,1763,681

    Annual Precip (in)10.420.519.817.7

    Relief Ratio0.0750.170.140.39

    Watershed Geology Granite/GneissGraniteShale/SstGranite

    Watershed Factors used in USGS Debris Flow Models (sounthern Cal)

    Gartner et al. (2014)MeanMin Max

    Meltons #0.510.121.03

    Relief Ratio0.240.050.71

    Mean Slope (%)57.818.784.8

    Watershed Burn (%)81.75100

    Wilford (2005) Non-Fire

    Meltons #>0.30

    Meltons # and Plannimetric Length>0.60 and ≥ 2.7km

    Bovis and Jakob (1999) Non-fire

    Meltons #>0.52

    Pak (2009) Debris prediction Model

    Relief Ratio

  • Debris flow hazards: Watershed Specific

    • Sediment availability– Supply limited– Supply unlimited

    • Hydroclimate– Transport limited– Transport unlimited

    • Slope processes – Landslides – Colluvium

    • Channel reach morphology– Constrictions/confinement – Plunge pools– Broad gentle reaches– Bedrock presence

    Supply unlimited + Transport unlimitedSupply limited + Transport Limited

    Event FrequencyHigh Low

    Sheet1

    Drainage Basin NamePushwallaOak CreekHanesSan Jacinto

    Area (square miles)19.524.30.90.3

    Mean Slope (%)36.652.948.747.7

    Max Elevation (ft)5,21513,2182,1763,681

    Annual Precip (in)10.420.519.817.7

    Relief Ratio0.0750.170.140.39

    Watershed Geology Granite/GneissGraniteShale/SstGranite

    Watershed Factors used in USGS Debris Flow Models (sounthern Cal)

    Gartner et al. (2014)MeanMin Max

    Meltons #0.510.121.03

    Relief Ratio0.240.050.71

    Mean Slope (%)57.818.784.8

    Watershed Burn (%)81.75100

    Wilford (2005) Non-Fire

    Meltons #>0.30

    Meltons # and Plannimetric Length>0.60 and ≥ 2.7km

    Bovis and Jakob (1999) Non-fire

    Meltons #>0.52

    Pak (2009) Debris prediction Model

    Relief Ratio

    Event Frequency

    Supply unlimited + Transport unlimitedHigh

    Supply limited + Transport Limited Low

  • Camarillo Springs Oct./Dec. 2014

    • May 2013 Springs fire– 24,250 acres– 22 Structures

    Drainage Basin Name Camarillo SpringsArea (square miles) 0.09Mean Slope (%) 61.7Max Elevation (ft) 1,777Annual Precip (in) 15.8Relief Ratio 0.55Meltons # 0.99Plannimetric Length (km) 1Watershed Geology Granite/Volcanics

    Sheet1

    Drainage Basin NamePushwallaOak CreekHanesSan JacintoCamarillo Springs

    Area (square miles)19.524.30.90.30.09

    Mean Slope (%)36.652.948.747.761.7

    Max Elevation (ft)5,21513,2182,1763,6811,777

    Annual Precip (in)10.420.519.817.715.8

    Relief Ratio0.0750.170.140.390.55

    Meltons #0.99

    Plannimetric Length (km)1

    Watershed Geology Granite/GneissGraniteShale/SstGraniteGranite/Volcanics

    Watershed Factors used in USGS Debris Flow Models (sounthern Cal)

    Gartner et al. (2014)MeanMin Max

    Meltons #0.510.121.03

    Relief Ratio0.240.050.71

    Mean Slope (%)57.818.784.8

    Watershed Burn (%)81.75100

    Wilford (2005) Non-Fire

    Meltons #>0.30

    Meltons # and Plannimetric Length>0.60 and ≥ 2.7km

    Bovis and Jakob (1999) Non-fire

    Meltons #>0.52

    Pak (2009) Debris prediction Model

    Relief Ratio

    Event Frequency

    Supply unlimited + Transport unlimitedHigh

    Supply limited + Transport Limited Low

  • USGS data on debris flow frequency and magnitude• 344 events (Gartner et al., 2014)

    – Many watersheds with up to 10 events since the 1950’s (Recurrence is on engineering timescales)

    • Debris removal and overtopping are a concern– On February 6, 2010, debris flows produced in the Station fire

    burn area overtopped sediment-retention basins and damaged or destroyed 46 homes in La Crescenta, California (Gartner, 2013)

    Frequency and magnitude – assessing potential

  • • California droughts stress watershed vegetation, increase fuel loads

    • Warm El Nino phases enhance moisture availability, follow periods of drought and heavy wildfire seasons

    • Westerling (2006): fire season increase by 2-months since the 1980’s; frequency and size have also increased

    • Enhanced precipitation extremes are generally expected due to greater moisture availability in a warming atmosphere…(Gurshunov et al., 2013).

    • Enhanced precipitation associated with atmospheric rivers yielding extreme precipitation, is projected by most current climate models (Gurshunov et al., 2013).

    Fire frequency, Drought and Precipitation

  • • Post-fire debris flows fit with the FEMA definition of fooding• Need to update terminology to fit our scientific understanding of

    the process• Where present, consideration should be given to fire-flood

    processes where • Watershed assessments may need to consider higher bulking

    factors• developments encroach on alluvial fan areas.

    Closing Remarks

  • Identification of Debris Flow ‘Mudflow’ Hazards for Assessment of Alluvial Fan FloodingHighlightsDefinedDebris flow processes – Starts as a solidDebris flow processes- Starts with H20Sediment-water ratios, deposits�Regulatory frameworkRegulatory frameworkRegulatory framework Buking factors in practiceDebris Flow Hazards (pre-typing)Debris Flow Hazards (pre-typing)Debris Flow Hazards (pre-typing)Debris flow hazards: Watershed Specific Camarillo Springs Oct./Dec. 2014Frequency and magnitude – assessing potentialFire frequency, Drought and PrecipitationClosing Remarks Slide Number 19


Recommended