Ashfall Graduate Class 2009 Lecture #4

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Ashfall Graduate Class 2009 Lecture #4 Lecture #4 William I Rose William I Rose Michigan Technological Michigan Technological University University Houghton, MI 49931 USA Houghton, MI 49931 USA Size of volcanic Size of volcanic ash ash

description

Size of volcanic ash. William I Rose Michigan Technological University Houghton, MI 49931 USA. Ashfall Graduate Class 2009 Lecture #4. Tephra is classified on the basis of pyroclast size:  - PowerPoint PPT Presentation

Transcript of Ashfall Graduate Class 2009 Lecture #4

  • Ashfall Graduate Class 2009Lecture #4William I RoseMichigan Technological UniversityHoughton, MI 49931 USA

    Size of volcanic ash

  • Tephra is classified on the basis of pyroclast size:ASH -- Very fine-grained fragments (< 2 mm), generally dominated by broken glass shards, but with variable amounts of broken crystal and lithic (rock) fragments. Courtesy of USGS.LAPILLI -- Pea- to walnut-size pyroclasts (2 to 64 mm). They often look like cinders. In water-rich eruptions, the accretion of wet ash may form rounded spheres known as accretionary lapilli (left). Courtesy of USGS.BLOCKS AND BOMBS -- Fragments >64 mm. Bombs are ejected as incandescent lava fragments which were semi-molten when airborne, thus inheriting streamlined, aerodynamic shapes. Blocks (not shown) are ejected as solid fragments with angular shapes. Courtesy of J.P. Lockwood, USGS.www.geology.sdsu.edu/how_volcanoes_work

  • Like many natural and man made materials, volcanic ash is made up of materials of variable size. Some times a sample of ash has a simple size range that can be described in a straightforward way

    But there are some methods that have developed to make it easier to compare samples.

  • phi = - log2 d (mm)Lognormal size distributions are expected and we use a biased system to define themASHLAPILLIBOMBS, BLOCKS

  • NON-GENETIC CLASSIFICATION OF PYROCLASTIC ROCKSAsh tuff - rock dominated by ash; sometimes simply referred to as tuff.

    Lapilli tuff - rock dominated by lapilli.

    Tuff breccia - rock containing 25% to 75% blocks and/or bombs.

    Pyroclastic breccia - rock containing at least 75% blocks and bombs.

    Agglomerate - rock containing at least 75% bombs.

    Agglutinate - rock composed of fused, largely unrecognizable, basalt spatter fragments.www.geology.sdsu.edu/how_volcanoes_work

  • Pyroclastic fall deposits

    Ashfall -- finer than 2 mm

    Scoria fall --strombolian/cinder cone

    Pumice fall highly vesiculated silicic pyroclasts from plinian eruptions

    www.geology.sdsu.edu/how_volcanoes_work

  • d < 1000 m > 0d < 30 m > 5

  • from S. K. Friedlander, Smoke, Dust and Haze 2000

  • Normal ashfall, with dominant coarse modeBecause this fine-grained mode is minor and was grouped in the pan portion of sieved samples, it is underappreciated and is quite common.Rose et al., 2007 BVSieve rangeAshfall sample from Fuego Volcano, Guatemala 14 Oct 1974

    Chart31

    0

    0.0049217489

    3.9048497683

    20.0284079319

    35.8841866102

    26.56204202

    6.9010236209

    0.1859685916

    0

    0.4403701004

    1.336282465

    1.0688964843

    0.4572814362

    0.2630975574

    0.3393169565

    0.5108232052

    0.5228395222

    0.4749481514

    0.4207238091

    0.3195822759

    0.2637636681

    0.1106740764

    0

    0

    0

    0

    1

    10

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    Particle Diameter (mm)

    Particle Diameter (f)

    Class Weight (%)

    Fu74-49

    Information

    GRADISTAT

    Version 4.0

    A Grain Size Distribution and Statistics Package for the Analysis of

    Unconsolidated Sediments by Sieving or Laser Granulometer

    Surface Processes and Modern Environments Research Group

    Department of Geology

    Royal Holloway

    University of London

    Egham

    Surrey TW20 0EX

    E-mail: [email protected]

    Tel/Fax: +44 (0)1784 414168

    Instructions on the Use of the GRADISTAT Program

    The development of this program was inspired by Dave Thornley and John Jack at the Postgraduate Research Institute for Sedimentology at the University of Reading, UK, and the Department of Geology at Royal Holloway University of London, UK. It is provided in Microsoft Excel format to allow both spreadsheet and graphical output. The program is best suited to analyse data obtained from sieve or laser granulometer analysis. The user is required to input the mass or percentage of sediment retained on sieves spaced at any intervals, or the percentage of sediment detected in each bin of a Laser Granulometer. The following sample statistics are then calculated using the Method of Moments in Microsoft Visual Basic programming language: mean, mode(s), sorting (standard deviation), skewness, kurtosis, D10, D50, D90, D90/D10, D90-D10, D75/D25 and D75-D25. Grain size parameters are calculated arithmetically and geometrically (in microns) and logarithmically (using the phi scale) (Krumbein and Pettijohn, 19381; Table 1). Linear interpolation is also used to calculate statistical parameters by the Folk and Ward (1957)2 graphical method and derive physical descriptions (such as very coarse sand and moderately sorted). The program also provides a physical description of the textural group which the sample belongs to and the sediment name (such as fine gravelly coarse sand) after Folk (1954)3. Also included is a table giving the percentage of grains falling into each size fraction, modified from Udden (1914)4 and Wentworth (1922)5 (see Table 2). In terms of graphical output, the program provides graphs of the grain size distribution and cumulative distribution of the data in both metric and phi units, and displays the sample grain size on triangular diagrams. Samples may be analysed singularly, or up to 250 samples may be analysed together.

    The program is ideal for the rapid analysis of sieve data and is freely available from the author at the above address. Please note that the copyright for the program is held by author, and any distribution or use of the program should be acknowledged to him.

    S. Blott October 2000

    1Krumbein, W.C. and Pettijohn, F.J. (1938) Manual of Sedimentary Petrography. Appleton-Century-Crofts, New York.

    2Folk, R.L. and Ward, W.C. (1957) Brazos River bar: a study in the significance of grain size parameters. Journal of Sedimentary Petrology, 27, 3-26.

    3Folk, R.L. (1954) The distinction between grain size and mineral composition in sedimentary-rock nomenclature. Journal of Geology, 62, 344-359.

    4Udden, J.A. (1914) Mechanical composition of clastic sediments. Bulletin of the Geological Society of America, 25, 655-744.

    5Wentworth, C.K. (1922) A scale of grade and class terms for clastic sediments. Journal of Geology, 30, 377-392.

    Single Sample Analysis

    1. Switch to the "Single Sample Data Input" sheet if it is not already active. Enter the aperture sizes of the sieves or Laser Granulometer bins used in the analysis into the cells in column B. Sizes may be entered either in ascending or descending numerical order. For convenience, you can click on one of the standard sieve or Laser Granulometer size intervals and GRADISTAT will enter the size classes for you. Any non-standard sieve sizes can be used, although some of the statistics may not be calculated if you have not used sieves with at least whole phi intervals. See the section below if the sample contains unanalysed sediment, such as material retained in the pan after sieving. At least one size class larger than the largest particles in the sample should also be entered. A large area to the right of the data columns is provided for the cut and paste of data from other spreadsheets, such as the import of Laser Granulometer data.

    2. Enter the weight or percentage of sample beside each size class in column C. When you have finished, make sure there are no data further down the spreadsheet which could cause an error. The program will accept data down to row 230.

    3. Enter the sample identity, analyst, date and initial sample weight (optional) at the top of the "Single Sample Data Input" sheet.

    4. Click the "Calculate Statistics" button and wait a few moments for the program to finish running. When the dialog box appears, click "OK".

    5. The results are summarised on the "Single Sample Statistics" sheet, which includes a distribution histogram of the sample. Select "Print..." from the file menu to print the Summary Statistics page. The data is also shown on triangular diagrams on the "Gravel Sand Mud" and "Sand Silt Clay" sheets. Further cumulative and distribution plots are given on other sheets.

    Multiple Sample Analysis

    1. Switch to the "Multiple Sample Data Input" sheet. Enter the aperture sizes of the sieves or Laser Granulometer bins used in the analysis into the cells in column B. The aperture sizes must be the same for all the samples. Sizes may be entered either in ascending or descending numerical order. For convenience, you can click on one of the standard sieve or Laser Granulometer size intervals and GRADISTAT will enter the size classes for you. Any non-standard sieve sizes can be used, although some of the statistics may not be calculated if you have not used sieves with at least whole phi intervals. See the section below if samples contain unanalysed sediment, such as material retained in the pan after sieving. At least one size class larger than the largest particles in the sample should also be entered.

    2. Enter the weight or percentage of sample in column C onwards. Make sure there are no data further down the spreadsheet which could cause an error. The program will accept data down to row 230.

    3. Enter the sample identity, analyst, date and initial sample weight (optional) in the green cells above each sample listing.

    4. If you require a Summary Statistics printout for each sample, select a tick in the option box.

    5. Click the "Calculate Statistics" button and wait for the program to finish running (this may take several minutes). GRADISTAT will give a warning if it detects a sample whose combined weight is greater than the given sample weight. Click "OK" when prompted on the dialog boxes.

    6. The resulting statistics for all samples are summarised on the "Multiple Sample Statistics" sheet. The data for each sample included in the analysis are also shown on triangular diagrams on the "Gravel Sand Mud" and "Sand Silt Clay" sheets. Cumulative and distribution plots will show the results for the last sample in the analysis. If graphical plots for other samples are required, use separate single sample analyses (above).

    Unanalysed Sediment

    Occasionally, samples may contain sediment in a size fraction of unspecified size, such as material retained in the pan after sieving. Ideally, the whole size range in a sample should be analysed, and this may require further analysis of sediment remaining in the pan after sieving. The larger the quantity of sediment remaining in the pan, the less accurate the calculation of grain size statistics, with statistics calculated by the Method of Moments being most susceptible. Errors in Folk and Ward parameters become significant only when more than 5% of the sample is undetermined. If the sample contains sediment in the pan the user should do one of the following:

    1. Enter the weight or percentage of sample in the pan with a class size of zero (or leave the class size blank). GRADISTAT calculates the statistics assuming all sediment in the pan is larger than 10 f (1 mm). The grain size distribution graphs do not however plot the quantity of sediment in the pan.

    2. Enter the weight or percentage of sample in the pan with a class size which the user considers to be the lower size limit of sediment in the pan. GRADISTAT calculates the statistics assuming all sediment in the pan is larger than this value and plots this quantity on the grain size distribution graphs.

    The above two options are recommended where there is less than 1% of the sample remaining in the pan.

    3. Do not enter the quantity of sediment in the pan at all. GRADISTAT calculates the statistics ignoring the sediment in the pan as if it were not present in the sample. This is recommended where there is more than 1% of the sample remaining in the pan.

    Samples containing more than 5% of sediment in the pan should ideally be analysed using a different technique, such as sedimentation or laser granulometry. Great care must however be taken when merging data obtained by different methods.

    Graph Scales

    The size scale used in graphical plots is dependent upon the range of sizes specified on the sample input sheets: the first and last values provide the extreme values on the graphs. While one size class larger than the largest particles in the sample should be entered, other size classes outside the grain size range of the sample have no influence on the statistical calculations. These classes may be deleted to narrow the size scale on graphs. Note that unused size classes within the size range of the sample should also be deleted, otherwise GRADISTAT assumes that zero sample weight was present in those size classes.

    Copyright Simon Blott (2000)

    Single Sample Data Input

    Single Sample Data Input ScreenEnter your data in the columns below, and then click the "Calculate

    Statistics" button. See the "Information" sheet for more information.

    Sample Identity:Fu74-49

    Analyst:AJD

    Date:6/23/06Auto. add

    Initial Sample Weight:(optional)apertures

    at:

    Aperture

    (microns)

    20000

    14140

    10000.004912

    7073.900513

    50019.988736

    35335.990662000-1.52000

    25026.4011151414-11414

    1766.9779011000-0.51000

    1250.1833227070707

    8805000.5500

    630.4239943531353

    441.3818442501.5250

    311.0784191762176

    220.4517941252.5125

    160.24137788388

    110.366281633.563

    7.80.5059144444

    5.50.526252314.531

    3.90.4703822522

    2.80.40163165.516

    1.950.33309811611

    1.380.2627277.86.57.8

    0.980.1091365.575.5

    0.6903.97.53.9

    0.4902.882.8

    0.3501.958.51.95

    0.2401.3891.38

    0.989.50.98

    0.69100.69

    0.4910.50.49

    0.35110.35

    CalculateStatistics

    Half Phi Intervals

    Quarter Phi Intervals

    Laser Granulometer

    Single Sample Statistics

    SAMPLE IDENTITY:Fu74-49ANALYST & DATE:AJD, 6/23/2006

    SAMPLE TYPE:Unimodal, Moderately SortedTEXTURAL GROUP:Sand

    SEDIMENT NAME:Moderately Sorted Medium Sand

    fGRAIN SIZE DISTRIBUTION

    MODE 1:426.51.251GRAVEL:0.0%COARSE SAND:23.9%

    MODE 2:SAND:93.9%MEDIUM SAND:62.4%

    MODE 3:MUD:6.1%FINE SAND:7.2%

    207.40.653V FINE SAND:0.5%

    388.41.364V COARSE GRAVEL:0.0%V COARSE SILT:2.4%

    636.12.270COARSE GRAVEL:0.0%COARSE SILT:0.7%

    3.0673.478MEDIUM GRAVEL:0.0%MEDIUM SILT:0.8%

    428.71.617FINE GRAVEL:0.0%FINE SILT:1.0%

    1.7071.760V FINE GRAVEL:0.0%V FINE SILT:0.7%

    205.00.772V COARSE SAND:0.0%CLAY:0.4%

    METHOD OF MOMENTSFOLK & WARD METHOD

    ArithmeticGeometricLogarithmicGeometricLogarithmicDescription

    ff

    MEAN :404.0323.81.627385.71.375Medium Sand

    175.52.5051.3251.8370.877Moderately Sorted

    0.152-3.4143.414-0.2980.298Fine Skewed

    3.58616.3616.362.0622.062Very Leptokurtic

    Single Sample Statistics

    0

    0.0049217489

    3.9048497683

    20.0284079319

    35.8841866102

    26.56204202

    6.9010236209

    0.1859685916

    0

    0.4403701004

    1.336282465

    1.0688964843

    0.4572814362

    0.2630975574

    0.3393169565

    0.5108232052

    0.5228395222

    0.4749481514

    0.4207238091

    0.3195822759

    0.2637636681

    0.1106740764

    0

    0

    0

    0

    1

    10

    100

    1000

    Particle Diameter (mm)

    Particle Diameter (f)

    Class Weight (%)

    Fu74-49

    Module1

    Multiple Sample Data Input ScreenEnter your data in the columns below, and then click the

    "Calculate Statistics" button. Enter Sample Info in the green cells.

    ApertureClass Weight Retained (g or %) in Different Samples

    (microns)

    Sample Identity:GU-S-1501-68GU/S AF 13/11/03 - AverageGU/S AF 17/12/03 - AverageGU/S COI 25/11/94 - AverageGU/S COI 1500-68 - AverageGU/S COI 1500-68 b - AverageGU/S 1116 - AverageGU/S AF-2 12/1/75 b - AverageGU/S AF-1 12/1/75 - AverageGU/S 1501-68 - Average

    Analyst:AJDAJDAJDAJD

    Date:6/23/06

    Initial Sample Weight:

    20000000000000

    14140.0270000000.3713634.1008628.466585

    10002.0920000015.97323.41206110.07825818.962329

    7077.0770000006.66201813.35308122.900704

    5009.0120.0106310.29342500010.809858516.88170310.93576117.07827

    3537.5420.7910290.88259400004.4548695.4791947.444127

    2505.2851.4166912.2280451.479661.86726104.566467072.669471.9534181.584176

    1764.4693.2255464.6657797.8050928.054421.89570903.3043481.9663970.747214

    1255.2127.0758898.13105214.17903213.4857826.5834986.2159056025.9127654.006241.947578

    886.27411.87773411.68484317.81819415.45369311.93329909.1797626.2639862.879663

    636.77815.1739113.8672116.91322214.14384816.18571115.97454395211.4561627.5975243.124598

    446.6915.45467313.97268212.96206711.76509516.81684011.6330297.6179482.991211

    316.34713.18947912.3070788.7302539.57435114.07358319.5661592829.8244426.6020622.66523

    225.9349.9129169.6931075.7961527.55799410.1382707.1669145.1738882.201635

    165.4346.8351766.9224454.0798545.5417156.76688413.6893059644.7916983.8247511.689559

    114.7624.4680054.5693152.9397223.7273734.44875203.1652232.7589461.249823

    7.84.022.829132.8690412.0009042.3685062.9224776.8071389122.1582781.9679790.931764

    5.53.3831.816441.8325711.2858811.5421051.93575301.5432711.4270960.726606

    3.92.8571.2891311.3145810.88361.1286131.3733273.3107201821.1902051.1116060.601544

    2.82.3771.0474521.082260.7239910.9229921.09876500.9942360.9356440.510014

    1.951.8170.9161620.9495320.6560640.7816660.959662.2982800140.8638240.8059870.422867

    1.381.2820.7793890.8045380.5604580.6317160.82618500.7186110.6517940.323775

    0.980.8820.6834950.6999880.4709250.5295350.7332011.6314044220.6065420.5278210.248513

    0.690.440.642190.6532140.4202640.4904980.69274500.5514240.4628960.208569

    0.490.0060.4582780.4663590.289560.3510670.4971621.0923337080.3920620.3205850.093646

    0.3500.1066550.1103390.0051050.0817680.11817700.0957190.0762790

    0.240000000000

    CalculateStatistics

    Half Phi Intervals

    Quarter Phi Intervals

    Laser Granulometer

    Auto. addaperturesat:

    Multiple Sample Data Input

    SAMPLE STATISTICS

    ANALYST AND DATE:

    SIEVING ERROR:

    SAMPLE TYPE:

    TEXTURAL GROUP:

    SEDIMENT NAME:

    METHOD OFMEAN

    MOMENTSSORTING

    SKEWNESS

    KURTOSIS

    METHOD OFMEAN

    MOMENTSSORTING

    SKEWNESS

    KURTOSIS

    METHOD OFMEAN

    MOMENTSSORTING

    SKEWNESS

    KURTOSIS

    FOLK ANDMEAN

    WARD METHODSORTING

    SKEWNESS

    KURTOSIS

    FOLK ANDMEAN

    WARD METHODSORTING

    SKEWNESS

    KURTOSIS

    FOLK AND

    WARD METHOD

    (Description)

    % GRAVEL:

    % SAND:

    % MUD:

    % V COARSE GRAVEL:

    % COARSE GRAVEL:

    % MEDIUM GRAVEL:

    % FINE GRAVEL:

    % V FINE GRAVEL:

    % V COARSE SAND:

    % COARSE SAND:

    % MEDIUM SAND:

    % FINE SAND:

    % V FINE SAND:

    % V COARSE SILT:

    % COARSE SILT:

    % MEDIUM SILT:

    % FINE SILT:

    % V FINE SILT:

    % CLAY:

    Multiple Sample Statistics

    &CTriangular Diagram

    Sand

    Mud

    Gravel

    80%

    30%

    5%

    Trace

    1:1

    1:9

    9:1

    Sand:Mud Ratio

    Gravel %

    Gravel

    Muddy Gravel

    Muddy Sandy Gravel

    Gravelly Mud

    Gravelly Muddy Sand

    Slightly Gravelly Mud

    Slightly GravellySandy Mud

    Slightly GravellyMuddy Sand

    Mud

    Sandy Mud

    Muddy Sand

    Sand

    Slightly Gravelly Sand

    Gravelly Sand

    Sandy Gravel

    Fu74-49

    TEXTURAL GROUP:

    SEDIMENT NAME:

    Sand

    Moderately Sorted Medium Sand

    SAMPLE IDENTITY:

    Gravel:

    Sand:

    Mud:

    0.0%

    93.9%

    6.1%

    Coarse Gravel:

    Medium Gravel:

    Fine Gravel:

    Coarse Sand:

    Medium Sand:

    Fine Sand:

    Very Fine Sand:

    Very Coarse Silt:

    0.0%

    0.0%

    0.0%

    23.9%

    7.2%

    0.5%

    2.4%

    62.4%

    Very Coarse Gravel:

    0.0%

    Very Coarse Sand:

    Coarse Silt:

    Clay:

    Fine Silt:

    Very Fine Gravel:

    0.0%

    0.0%

    Medium Silt:

    Very Fine Silt:

    0.4%

    0.7%

    1.0%

    0.8%

    0.7%

    Gravel Sand Mud Diagram

    &CTriangular Diagram

    Silt

    Clay

    Sand

    90%

    50%

    10%

    1:2

    2:1

    Silt:Clay Ratio

    Sand %

    Sand

    Clayey Sand

    Muddy Sand

    Sandy Clay

    Sandy Silt

    Sandy Mud

    Clay

    Mud

    Silt

    Silty Sand

    NOTEGravel is also present inthis sample

    Fu74-49

    TEXTURAL GROUP:IGNORING GRAVELFRACTION

    SAMPLE IDENTITY:

    Gravel:

    Sand:

    Mud:

    0.0%

    93.9%

    6.1%

    Coarse Gravel:

    Medium Gravel:

    Fine Gravel:

    Coarse Sand:

    Medium Sand:

    Fine Sand:

    Very Fine Sand:

    Very Coarse Silt:

    Very Coarse Gravel:

    Very Coarse Sand:

    Coarse Silt:

    Clay:

    Fine Silt:

    Very Fine Gravel:

    Medium Silt:

    Very Fine Silt:

    0.0%

    0.0%

    0.0%

    23.9%

    7.2%

    0.5%

    2.4%

    62.4%

    0.0%

    0.0%

    0.0%

    0.4%

    0.7%

    1.0%

    0.8%

    0.7%

    Sand Silt Clay Diagram

    0

    0.0049217489

    3.9048497683

    20.0284079319

    35.8841866102

    26.56204202

    6.9010236209

    0.1859685916

    0

    0.4403701004

    1.336282465

    1.0688964843

    0.4572814362

    0.2630975574

    0.3393169565

    0.5108232052

    0.5228395222

    0.4749481514

    0.4207238091

    0.3195822759

    0.2637636681

    0.1106740764

    0

    0

    0

    0

    &CFrequency Distribution Histogram

    Particle diameter (f)

    Class weight (%)

    Distribution (phi)

    0

    0

    0.004912

    3.9054249609

    23.8941607611

    59.8848204012

    86.2859351371

    93.2638360674

    93.4471580655

    93.4471580655

    93.8711520613

    95.2529960475

    96.3314150367

    96.7832090322

    97.0245860298

    97.3908670261

    97.896777021

    98.4230290158

    98.8934090111

    99.295039007

    99.6281370037

    99.8908640011

    100

    100

    100

    100

    100

    &CCumulative Frequency Curve

    Particle diameter (f)

    Cumulative mass retained (%)

    Cumulative (phi)

    0

    0.0049217489

    3.9048497683

    20.0284079319

    35.8841866102

    26.56204202

    6.9010236209

    0.1859685916

    0

    0.4403701004

    1.336282465

    1.0688964843

    0.4572814362

    0.2630975574

    0.3393169565

    0.5108232052

    0.5228395222

    0.4749481514

    0.4207238091

    0.3195822759

    0.2637636681

    0.1106740764

    0

    0

    0

    0

    &CFrequency Distribution Curve

    Particle diameter (mm)

    Class weight (%)

    Distribution (microns)

    0

    0

    0.004912

    3.9054249609

    23.8941607611

    59.8848204012

    86.2859351371

    93.2638360674

    93.4471580655

    93.4471580655

    93.8711520613

    95.2529960475

    96.3314150367

    96.7832090322

    97.0245860298

    97.3908670261

    97.896777021

    98.4230290158

    98.8934090111

    99.295039007

    99.6281370037

    99.8908640011

    100

    100

    100

    100

    100

    &CCumulative Frequency Curve

    Particle diameter (mm)

    Cumulative mass retained (%)

    Cumulative (microns)

    Method of Moments - LogarithmicDateModeFirstModeSecondModeThirdModePrint

    6/23/200635.884186610235.884186610200100

    Mean:1.627

    Std. Dev.1.325ClassMode1ClassMode2ClassMode3Classmode4ClassMode5

    Skewness3.41435.8841866102

    Kurtosis16.364

    TexureMaximum Frequency

    Sum of Sieve Classes35.8841866102

    100.00ShapeLine

    0095.356385

    Sum of Proportion Classes

    199.6908586146

    Method of Moments - ArithmeticMethod of Moments - GeometricPlease wait while the

    Mean (um)404.031Mean (mm)323.785statistics are calculated

    Std. Dev. (um)175.512Std. Dev. (mm)2.505

    Skewness (um)0.152Skewness (mm)-3.414

    Kurtosis (um)3.586Kurtosis (mm)16.364Samples remaining:1

    Kurtosis (um) - 30.586Kurtosis (mm) - 313.364

    0%100%

    STATISTICS BY METHOD OF MOMENTSSTATISTICS BY METHOD OF MOMENTSSTATISTICS BY METHOD OF MOMENTS

    APERTUREMID-POINT (m)APERTUREMID-POINT (m)CUM. MASSCLASSCLASSAPERTURELOGARITHMICMID-POINT (m)NORMALISEDARITHMETICGEOMETIC

    (metric)(metric)(PHI Scale)(PHI Scale)RETAINEDWEIGHT (f)WEIGHT(metric)(metric)CLASS WEIGHT

    (mm)(mm)(PHI)(PHI)(%)(%)(g)fm(no units)(%)fmlog mf log m

    2.00-1.0000.000.000.0020000.000.000000.000000.000000.000.000.000000.000000.0000000.000000.000000.00000

    1.411.71-0.500-0.74990.000.000.0014140.000.000000.000000.000001681.70.000.000.000.000000.000000.000003.22600.000000.000000.00000

    1.001.2070.000-0.24990.000.000.001000-0.000.01730-0.032470.060941189.10.010.005.933167.056682543048.108492041988617.239483.0750.01510550360.001570.000890.00050

    0.710.8540.5000.25013.913.903.907070.987.39357-10.1793514.01478840.87.803.903329.09787990.67192354177323.73083159191702536.466002.92511.40786811890.670000.277680.11509

    0.500.6041.0000.750123.8919.9919.9950014.9915.36638-13.4730111.81294594.639.9920.0312063.20795308.89806158639414.4871131643634177.978202.77455.45264509761.392490.367530.09701

    0.350.4271.5021.251159.8835.9935.9935345.035.08183-1.909570.71755420.171.6635.8815350.0218169.98497408260.110659173167.627752.62394.41690153310.460510.052090.00589

    0.250.3022.0001.751186.2926.4026.4025046.230.407490.050620.00629297.153.0426.567959.94277544.89804-28456975.519062917724164.287152.47365.28619080870.03693-0.001380.00005

    0.180.2132.5062.253293.266.986.9817615.722.736941.714101.07351209.813.786.901486.29254643.63090-48644845.417249292676896.285712.32216.20077637530.24802-0.046760.00882

    0.130.1513.0002.753293.450.180.181250.500.232550.261910.29499148.30.370.1927.5911783.57208-2987501.64467757424490.211312.1710.39803080140.02107-0.007140.00242

    0.090.1073.5063.253293.450.000.00880.000.000000.000000.00000104.90.000.000.000.000000.000000.000002.02100.000000.000000.00000

    0.060.0763.9893.747493.870.420.42631.591.906564.042938.5731674.50.880.4432.0145762.80161-15034502.205064939301104.457011.8720.79367928360.17277-0.110290.07040

    0.040.0544.5064.247495.251.381.38445.879.4894024.8673065.1656252.62.671.3473.93169789.97768-59516662.6426320862439471.061801.7212.37870155750.85992-0.678360.53513

    0.030.0385.0124.759096.331.081.08315.1310.5791833.13481103.7807736.92.131.0740.44144880.22679-53103104.6254019463937787.321701.5671.69032167230.95868-0.903890.85223

    0.020.0275.5065.259096.780.450.45222.385.9600621.6473878.6249426.10.910.4611.9764394.06680-24310760.977159178067617.333511.4170.64014338250.54009-0.590520.64565

    0.020.0195.9665.736197.020.240.24161.384.0757316.7478768.8199318.80.530.264.5935783.88048-13777905.809155304921823.488601.2730.30733841120.36934-0.456870.56514

    0.010.0146.5066.236197.390.370.37112.287.7814535.86607165.3129913.30.680.344.9455863.16926-21816303.296188519944281.472731.1230.41124430860.70515-0.978391.35752

    0.010.0097.0026.754397.900.510.517.83.4213.3006868.19843349.683179.31.020.514.7678787.22619-31091887.4159512269824816.051200.9670.4890852721.20530-1.860392.87153

    0.010.0077.5067.254398.420.530.535.53.8216.6653893.78336527.759986.51.040.523.5083101.35513-33022905.4642913122677525.725300.8160.42954195321.51020-2.558324.33387

    0.000.0058.0027.754398.890.470.473.93.6517.66065108.21451663.077644.60.950.472.2175009.28890-29953539.6358811961379049.242600.6660.31313838271.60039-2.951995.44507

    0.000.0038.4808.241399.300.400.402.83.3117.57164116.22655768.773533.30.840.421.3564479.81634-25835841.8404110351932766.905200.5190.2084906771.59233-3.170556.31302

    0.000.0029.0028.741399.630.330.331.952.9116.85984119.94831853.365072.30.640.320.7953737.90003-21584153.767008669406387.975120.3690.12277869621.52782-3.272087.00767

    0.000.0029.5019.251799.890.260.261.382.4315.27439116.46444888.020271.60.530.260.4442535.09489-17114678.990216886366133.836400.2150.05647496751.38415-3.177047.29226

    0.000.0019.9959.7480100.000.110.110.981.067.1978258.45441474.715851.20.220.110.1317711.57049-7135125.134302874392798.787380.0660.00715414640.65226-1.594583.89828

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    MBD00064BFA.unknown

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    MBD00273258.doc

    Table 2. Size scale adopted in the GRADISTAT program, modified from Udden (1914) and Wentworth (1922).

    Grain Size

    Descriptive term

    phi

    mm

    Very Large

    Boulder

    -10

    1024

    Large

    -9

    512

    Medium

    -8

    256

    Small

    -7

    128

    Very small

    -6

    64

    Very coarse

    Gravel

    -5

    32

    Coarse

    -4

    16

    Medium

    -3

    8

    Fine

    -2

    4

    Very fine

    -1

    2

    Very coarse

    Sand

    0

    1

    microns

    Coarse

    1

    500

    Medium

    2

    250

    Fine

    3

    125

    Very fine

    4

    63

    Very coarse

    Silt

    5

    31

    Coarse

    6

    16

    Medium

    7

    8

    Fine

    8

    4

    Very fine

    9

    2

    Clay

    MBD0021CF8D.unknown

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    MBD00204A66.doc

    Table 1.Statistical formulae used in the calculation of grain size parameters.

    f is the frequency in percent; m is the mid-point of each class interval in metric (mm) or phi (m) units; Px and x are grain diameters, in metric or phi units respectively, at the cumulative percentile value of x.

    (a) Arithmetic Method of Moments

    Mean

    Standard Deviation

    Skewness

    Kurtosis

    (b) Geometric Method of Moments

    Mean

    Standard Deviation

    Skewness

    Kurtosis

    Sorting ((g)

    Skewness (Skg)

    Kurtosis (Kg)

    Very well sorted

    Well sorted

    Moderately well sorted

    Moderately sorted

    Poorly sorted

    Very poorly sorted

    Extremely poorly sorted

    < 1.27

    1.27 1.41

    1.41 1.62

    1.62 2.00

    2.00 4.00

    4.00 16.00

    > 16.00

    Very fine skewed

    Fine skewed

    Symmetrical

    Coarse skewed

    Very coarse skewed

    < -1.30

    -1.30 -0.43

    -0.43 +0.43

    +0.43 +1.30

    > +1.30

    Very platykurtic

    Platykurtic

    Mesokurtic

    Leptokurtic

    Very leptokurtic

    < 1.70

    1.70 2.55

    2.55 3.70

    3.70 7.40

    > 7.40

    (c) Logarithmic Method of Moments

    Mean

    Standard Deviation

    Skewness

    Kurtosis

    Sorting (()

    Skewness (Sk)

    Kurtosis (K)

    Very well sorted

    Well sorted

    Moderately well sorted

    Moderately sorted

    Poorly sorted

    Very poorly sorted

    Extremely poorly sorted

    < 0.35

    0.35 0.50

    0.50 0.70

    0.70 1.00

    1.00 2.00

    2.00 4.00

    > 4.00

    Very fine skewed

    Fine skewed

    Symmetrical

    Coarse skewed

    Very coarse skewed

    > +1.30

    +0.43 +1.30

    -0.43 +0.43

    -0.43 -1.30

    < -1.30

    Very platykurtic

    Platykurtic

    Mesokurtic

    Leptokurtic

    Very leptokurtic

    < 1.70

    1.70 2.55

    2.55 3.70

    3.70 7.40

    > 7.40

    PAGE

    - 29 -

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    MBD00007611.doc

    (d) Logarithmic (Original) Folk and Ward (1957) Graphical Measures

    Mean

    Standard Deviation

    Skewness

    Kurtosis

    Sorting ((I)

    Skewness (SkI)

    Kurtosis (KG)

    Very well sorted

    Well sorted

    Moderately well sorted

    Moderately sorted

    Poorly sorted

    Very poorly sorted

    Extremely poorly sorted

    < 0.35

    0.35 0.50

    0.50 0.70

    0.70 1.00

    1.00 2.00

    2.00 4.00

    > 4.00

    Very fine skewed

    Fine skewed

    Symmetrical

    Coarse skewed

    Very coarse skewed

    +0.3 to +1.0

    +0.1 to +0.3

    +0.1 to -0.1

    -0.1 to -0.3

    -0.3 to -1.0

    Very platykurtic

    Platykurtic

    Mesokurtic

    Leptokurtic

    Very leptokurtic

    Extremely leptokurtic

    < 0.67

    0.67 0.90

    0.90 1.11

    1.11 1.50

    1.50 3.00

    > 3.00

    (e) Geometric Folk and Ward (1957) Graphical Measures

    Mean

    Standard Deviation

    Skewness

    Kurtosis

    Sorting ((G)

    Skewness (SkG)

    Kurtosis (KG)

    Very well sorted

    Well sorted

    Moderately well sorted

    Moderately sorted

    Poorly sorted

    Very poorly sorted

    Extremely poorly sorted

    < 1.27

    1.27 1.41

    1.41 1.62

    1.62 2.00

    2.00 4.00

    4.00 16.00

    > 16.00

    Very fine skewed

    Fine skewed

    Symmetrical

    Coarse skewed

    Very coarse skewed

    -0.3 to -1.0

    -0.1 to -0.3

    -0.1 to +0.1

    +0.1 to +0.3

    +0.3 to +1.0

    Very platykurtic

    Platykurtic

    Mesokurtic

    Leptokurtic

    Very leptokurtic

    Extremely leptokurtic

    < 0.67

    0.67 0.90

    0.90 1.11

    1.11 1.50

    1.50 3.00

    > 3.00

    PAGE

    - 29 -

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  • Forward Fraunhofer Diffraction of laser lightHow to measure the fine ash

  • Particle Size Analysis Malvern Mastersizer 2000; Cambridge UniversityDispersion unit

  • VF 74-103 17 Oct 1974 Fuego.This distal fall has only a very minor coarse mode, with a dominant mode at ~5 .

    Sieve rangeLaser diffraction expands the range of precise GSD work to submicron diameters.Rose et al., 2007 BV

    Chart1

    0

    0

    0.1364367845

    1.0530253109

    2.082472825

    1.8992295527

    0.9060321419

    0.0708801829

    0.7451341756

    2.9148447635

    6.0092021823

    8.7596194874

    9.8463622854

    9.7939177877

    8.9605117845

    8.1054446278

    7.2245648744

    6.6559384219

    6.1432717842

    5.4020096238

    4.4180248942

    3.334101832

    2.9051966207

    1.9588741005

    0.6749039561

    0

    1

    10

    100

    1000

    Particle Diameter (mm)

    Particle Diameter (f)

    Class Weight (%)

    Information

    GRADISTAT

    Version 4.0

    A Grain Size Distribution and Statistics Package for the Analysis of

    Unconsolidated Sediments by Sieving or Laser Granulometer

    Surface Processes and Modern Environments Research Group

    Department of Geology

    Royal Holloway

    University of London

    Egham

    Surrey TW20 0EX

    E-mail: [email protected]

    Tel/Fax: +44 (0)1784 414168

    Instructions on the Use of the GRADISTAT Program

    The development of this program was inspired by Dave Thornley and John Jack at the Postgraduate Research Institute for Sedimentology at the University of Reading, UK, and the Department of Geology at Royal Holloway University of London, UK. It is provided in Microsoft Excel format to allow both spreadsheet and graphical output. The program is best suited to analyse data obtained from sieve or laser granulometer analysis. The user is required to input the mass or percentage of sediment retained on sieves spaced at any intervals, or the percentage of sediment detected in each bin of a Laser Granulometer. The following sample statistics are then calculated using the Method of Moments in Microsoft Visual Basic programming language: mean, mode(s), sorting (standard deviation), skewness, kurtosis, D10, D50, D90, D90/D10, D90-D10, D75/D25 and D75-D25. Grain size parameters are calculated arithmetically and geometrically (in microns) and logarithmically (using the phi scale) (Krumbein and Pettijohn, 19381; Table 1). Linear interpolation is also used to calculate statistical parameters by the Folk and Ward (1957)2 graphical method and derive physical descriptions (such as very coarse sand and moderately sorted). The program also provides a physical description of the textural group which the sample belongs to and the sediment name (such as fine gravelly coarse sand) after Folk (1954)3. Also included is a table giving the percentage of grains falling into each size fraction, modified from Udden (1914)4 and Wentworth (1922)5 (see Table 2). In terms of graphical output, the program provides graphs of the grain size distribution and cumulative distribution of the data in both metric and phi units, and displays the sample grain size on triangular diagrams. Samples may be analysed singularly, or up to 250 samples may be analysed together.

    The program is ideal for the rapid analysis of sieve data and is freely available from the author at the above address. Please note that the copyright for the program is held by author, and any distribution or use of the program should be acknowledged to him.

    S. Blott October 2000

    1Krumbein, W.C. and Pettijohn, F.J. (1938) Manual of Sedimentary Petrography. Appleton-Century-Crofts, New York.

    2Folk, R.L. and Ward, W.C. (1957) Brazos River bar: a study in the significance of grain size parameters. Journal of Sedimentary Petrology, 27, 3-26.

    3Folk, R.L. (1954) The distinction between grain size and mineral composition in sedimentary-rock nomenclature. Journal of Geology, 62, 344-359.

    4Udden, J.A. (1914) Mechanical composition of clastic sediments. Bulletin of the Geological Society of America, 25, 655-744.

    5Wentworth, C.K. (1922) A scale of grade and class terms for clastic sediments. Journal of Geology, 30, 377-392.

    Single Sample Analysis

    1. Switch to the "Single Sample Data Input" sheet if it is not already active. Enter the aperture sizes of the sieves or Laser Granulometer bins used in the analysis into the cells in column B. Sizes may be entered either in ascending or descending numerical order. For convenience, you can click on one of the standard sieve or Laser Granulometer size intervals and GRADISTAT will enter the size classes for you. Any non-standard sieve sizes can be used, although some of the statistics may not be calculated if you have not used sieves with at least whole phi intervals. See the section below if the sample contains unanalysed sediment, such as material retained in the pan after sieving. At least one size class larger than the largest particles in the sample should also be entered. A large area to the right of the data columns is provided for the cut and paste of data from other spreadsheets, such as the import of Laser Granulometer data.

    2. Enter the weight or percentage of sample beside each size class in column C. When you have finished, make sure there are no data further down the spreadsheet which could cause an error. The program will accept data down to row 230.

    3. Enter the sample identity, analyst, date and initial sample weight (optional) at the top of the "Single Sample Data Input" sheet.

    4. Click the "Calculate Statistics" button and wait a few moments for the program to finish running. When the dialog box appears, click "OK".

    5. The results are summarised on the "Single Sample Statistics" sheet, which includes a distribution histogram of the sample. Select "Print..." from the file menu to print the Summary Statistics page. The data is also shown on triangular diagrams on the "Gravel Sand Mud" and "Sand Silt Clay" sheets. Further cumulative and distribution plots are given on other sheets.

    Multiple Sample Analysis

    1. Switch to the "Multiple Sample Data Input" sheet. Enter the aperture sizes of the sieves or Laser Granulometer bins used in the analysis into the cells in column B. The aperture sizes must be the same for all the samples. Sizes may be entered either in ascending or descending numerical order. For convenience, you can click on one of the standard sieve or Laser Granulometer size intervals and GRADISTAT will enter the size classes for you. Any non-standard sieve sizes can be used, although some of the statistics may not be calculated if you have not used sieves with at least whole phi intervals. See the section below if samples contain unanalysed sediment, such as material retained in the pan after sieving. At least one size class larger than the largest particles in the sample should also be entered.

    2. Enter the weight or percentage of sample in column C onwards. Make sure there are no data further down the spreadsheet which could cause an error. The program will accept data down to row 230.

    3. Enter the sample identity, analyst, date and initial sample weight (optional) in the green cells above each sample listing.

    4. If you require a Summary Statistics printout for each sample, select a tick in the option box.

    5. Click the "Calculate Statistics" button and wait for the program to finish running (this may take several minutes). GRADISTAT will give a warning if it detects a sample whose combined weight is greater than the given sample weight. Click "OK" when prompted on the dialog boxes.

    6. The resulting statistics for all samples are summarised on the "Multiple Sample Statistics" sheet. The data for each sample included in the analysis are also shown on triangular diagrams on the "Gravel Sand Mud" and "Sand Silt Clay" sheets. Cumulative and distribution plots will show the results for the last sample in the analysis. If graphical plots for other samples are required, use separate single sample analyses (above).

    Unanalysed Sediment

    Occasionally, samples may contain sediment in a size fraction of unspecified size, such as material retained in the pan after sieving. Ideally, the whole size range in a sample should be analysed, and this may require further analysis of sediment remaining in the pan after sieving. The larger the quantity of sediment remaining in the pan, the less accurate the calculation of grain size statistics, with statistics calculated by the Method of Moments being most susceptible. Errors in Folk and Ward parameters become significant only when more than 5% of the sample is undetermined. If the sample contains sediment in the pan the user should do one of the following:

    1. Enter the weight or percentage of sample in the pan with a class size of zero (or leave the class size blank). GRADISTAT calculates the statistics assuming all sediment in the pan is larger than 10 f (1 mm). The grain size distribution graphs do not however plot the quantity of sediment in the pan.

    2. Enter the weight or percentage of sample in the pan with a class size which the user considers to be the lower size limit of sediment in the pan. GRADISTAT calculates the statistics assuming all sediment in the pan is larger than this value and plots this quantity on the grain size distribution graphs.

    The above two options are recommended where there is less than 1% of the sample remaining in the pan.

    3. Do not enter the quantity of sediment in the pan at all. GRADISTAT calculates the statistics ignoring the sediment in the pan as if it were not present in the sample. This is recommended where there is more than 1% of the sample remaining in the pan.

    Samples containing more than 5% of sediment in the pan should ideally be analysed using a different technique, such as sedimentation or laser granulometry. Great care must however be taken when merging data obtained by different methods.

    Graph Scales

    The size scale used in graphical plots is dependent upon the range of sizes specified on the sample input sheets: the first and last values provide the extreme values on the graphs. While one size class larger than the largest particles in the sample should be entered, other size classes outside the grain size range of the sample have no influence on the statistical calculations. These classes may be deleted to narrow the size scale on graphs. Note that unused size classes within the size range of the sample should also be deleted, otherwise GRADISTAT assumes that zero sample weight was present in those size classes.

    Copyright Simon Blott (2000)

    Single Sample Data Input

    Single Sample Data Input ScreenEnter your data in the columns below, and then click the "Calculate

    Statistics" button. See the "Information" sheet for more information.

    Sample Identity:VF-74-103

    Analyst:

    Date:Auto. add

    Initial Sample Weight:(optional)apertures

    at:

    ApertureClass Weight

    (microns)Retained (g or %)

    20000

    14000

    10000

    7100.13464

    5001.063936

    3552.055048

    2501.918908

    1800.857588

    1250.074471

    900.705293

    632.99559

    446.214972

    31.18.757624

    229.820956

    15.69.701094

    119.020275

    7.788.088584

    5.57.219306

    3.896.642093

    2.756.1388

    1.945.430837

    1.384.335836

    0.973.386764

    0.692.851151

    0.491.931925

    0.350.654313

    0.240

    CalculateStatistics

    Half Phi Intervals

    Quarter Phi Intervals

    Laser Granulometer

    Single Sample Statistics

    SAMPLE IDENTITY:VF-74-103ANALYST & DATE:,

    SAMPLE TYPE:Bimodal, Very Poorly SortedTEXTURAL GROUP:Mud

    SEDIMENT NAME:Coarse Silt

    fGRAIN SIZE DISTRIBUTION

    MODE 1:26.555.257GRAVEL:0.0%COARSE SAND:1.2%

    MODE 2:427.51.247SAND:9.9%MEDIUM SAND:4.0%

    MODE 3:MUD:90.1%FINE SAND:0.9%

    1.5144.005V FINE SAND:3.8%

    12.516.321V COARSE GRAVEL:0.0%V COARSE SILT:14.7%

    62.309.368COARSE GRAVEL:0.0%COARSE SILT:19.6%

    41.162.339MEDIUM GRAVEL:0.0%MEDIUM SILT:17.1%

    60.785.363FINE GRAVEL:0.0%FINE SILT:13.9%

    7.8221.591V FINE GRAVEL:0.0%V FINE SILT:11.5%

    26.912.967V COARSE SAND:0.0%CLAY:13.3%

    METHOD OF MOMENTSFOLK & WARD METHOD

    ArithmeticGeometricLogarithmicGeometricLogarithmicDescription

    ff

    MEAN :41.4611.716.41610.876.524Medium Silt

    98.874.6132.2064.8992.292Very Poorly Sorted

    4.3190.211-0.211-0.0350.035Symmetrical

    23.202.9632.9631.1231.123Leptokurtic

    Single Sample Statistics

    0

    0

    0.1364367845

    1.0530253109

    2.082472825

    1.8992295527

    0.9060321419

    0.0708801829

    0.7451341756

    2.9148447635

    6.0092021823

    8.7596194874

    9.8463622854

    9.7939177877

    8.9605117845

    8.1054446278

    7.2245648744

    6.6559384219

    6.1432717842

    5.4020096238

    4.4180248942

    3.334101832

    2.9051966207

    1.9588741005

    0.6749039561

    0

    1

    10

    100

    1000

    Particle Diameter (mm)

    Particle Diameter (f)

    Class Weight (%)

    Module1

    Multiple Sample Data Input ScreenEnter your data in the columns below, and then click the

    "Calculate Statistics" button. Enter Sample Info in the green cells.

    ApertureClass Weight Retained (g or %) in Different Samples

    (microns)

    Sample Identity:GU/S-COI 12/1/96 - AverageGU/S AF 13/11/03 - AverageGU/S AF 17/12/03 - AverageGU/S COI 25/11/94 - AverageGU/S COI 1500-68 - AverageGU/S COI 1500-68 b - AverageGU/S 1116 - AverageGU/S AF-2 12/1/75 b - AverageGU/S AF-1 12/1/75 - AverageGU/S 1501-68 - AverageGU/S 1501-68 b - AverageGU/S-COI 30/11/98 - Average

    Analyst:

    Date:

    Initial Sample Weight:

    2000

    1400

    100000000000000.1596550

    7100000000000.027290.9115980

    500000000000.1247622.0924593.6491850

    3550.0040144.67568100.16618700003.0628867.0773867.1053250.529458

    2500.09823812.9938502.3635640000.0655576.4894839.0121158.5956590.854595

    1800.07632917.2739321.205015.0301060001.7677118.0541947.5415727.4119830.455526

    1250.43035815.7383084.6398257.0281663.9876153.6045573.1602434.1008127.9314255.2852835.3301710.747293

    903.03532511.6682468.1238427.74222511.95398411.49576613.1492026.1720866.7756244.4688724.4194442.632942

    636.5657128.66972411.5665257.74054416.97402616.64277324.0712027.4207515.6103075.212015.0142775.928417

    4410.0528646.97465614.5299597.76102717.51463917.47798126.9308517.8614675.0609216.2742576.0037239.435427

    3112.4893735.33708915.9742087.95340514.46424314.71456418.7363957.9670715.0947336.7777136.49995711.869631

    2213.1481053.51825814.8197788.1184910.11683310.4733057.4673658.1311595.4231876.6900726.43745912.536753

    15.612.1505512.17572711.212698.0955676.4740936.7484921.273928.4175785.8399056.3469326.12843811.572834

    1110.1239451.6385126.7645917.7632824.2206754.3444370.0432118.5653856.1670965.9337745.7425829.647779

    7.87.8090711.6022723.3112227.0454253.0695943.0832410.6022598.2593656.2323385.4337185.2638247.543366

    5.55.7180631.6049481.536185.9177192.459062.4384320.9216167.3257035.8866764.7624624.619135.736241

    3.94.1916941.4661981.0043094.6080862.0358812.0330510.7434726.0129125.2315234.0196863.904464.467094

    2.763.3139341.251580.9772633.457221.6910931.7176820.5340334.7650614.5031523.3827273.2885413.7471

    1.952.8482771.0353990.9935822.612121.3934711.4358130.5066273.7742623.772322.8569742.7815643.327422

    1.382.5151490.8455740.9401872.059311.1472021.189580.550533.0414483.0594012.3773752.3263992.95619

    0.982.065980.646930.8182241.6187790.9114180.9467280.5119332.3688332.2840671.8170721.7952262.398056

    0.691.5699050.4610320.6850581.2618670.7119950.7408480.4006581.7852941.6030871.2820181.2796351.764383

    0.491.1530720.3137390.5614660.9930020.5578770.5813990.2894891.3442741.1280580.8822350.8843981.23028

    0.350.6124410.1083440.3307730.5771670.311540.3263330.1069930.7496430.5953430.4396340.4409710.610376

    0.240.027600.0053060.0867430.0047610.00501700.1036290.0695110.0063640.0063970.008838

    0.17

    CalculateStatistics

    Half Phi Intervals

    Quarter Phi Intervals

    Laser Granulometer

    Auto. addaperturesat:

    Multiple Sample Data Input

    SAMPLE STATISTICS

    ANALYST AND DATE:

    SIEVING ERROR:

    SAMPLE TYPE:

    TEXTURAL GROUP:

    SEDIMENT NAME:

    METHOD OFMEAN

    MOMENTSSORTING

    SKEWNESS

    KURTOSIS

    METHOD OFMEAN

    MOMENTSSORTING

    SKEWNESS

    KURTOSIS

    METHOD OFMEAN

    MOMENTSSORTING

    SKEWNESS

    KURTOSIS

    FOLK ANDMEAN

    WARD METHODSORTING

    SKEWNESS

    KURTOSIS

    FOLK ANDMEAN

    WARD METHODSORTING

    SKEWNESS

    KURTOSIS

    FOLK AND

    WARD METHOD

    (Description)

    % GRAVEL:

    % SAND:

    % MUD:

    % V COARSE GRAVEL:

    % COARSE GRAVEL:

    % MEDIUM GRAVEL:

    % FINE GRAVEL:

    % V FINE GRAVEL:

    % V COARSE SAND:

    % COARSE SAND:

    % MEDIUM SAND:

    % FINE SAND:

    % V FINE SAND:

    % V COARSE SILT:

    % COARSE SILT:

    % MEDIUM SILT:

    % FINE SILT:

    % V FINE SILT:

    % CLAY:

    Multiple Sample Statistics

    &CTriangular Diagram

    Sand

    Mud

    Gravel

    80%

    30%

    5%

    Trace

    1:1

    1:9

    9:1

    Sand:Mud Ratio

    Gravel %

    Gravel

    Muddy Gravel

    Muddy Sandy Gravel

    Gravelly Mud

    Gravelly Muddy Sand

    Slightly Gravelly Mud

    Slightly GravellySandy Mud

    Slightly GravellyMuddy Sand

    Mud

    Sandy Mud

    Muddy Sand

    Sand

    Slightly Gravelly Sand

    Gravelly Sand

    Sandy Gravel

    VF-74-103

    TEXTURAL GROUP:

    SEDIMENT NAME:

    Mud

    Coarse Silt

    SAMPLE IDENTITY:

    Gravel:

    Sand:

    Mud:

    0.0%

    9.9%

    90.1%

    Coarse Gravel:

    Medium Gravel:

    Fine Gravel:

    Coarse Sand:

    Medium Sand:

    Fine Sand:

    Very Fine Sand:

    Very Coarse Silt:

    0.0%

    0.0%

    0.0%

    1.2%

    0.9%

    3.8%

    14.7%

    4.0%

    Very Coarse Gravel:

    0.0%

    Very Coarse Sand:

    Coarse Silt:

    Clay:

    Fine Silt:

    Very Fine Gravel:

    0.0%

    0.0%

    Medium Silt:

    Very Fine Silt:

    13.3%

    11.5%

    13.9%

    17.1%

    19.6%

    Gravel Sand Mud Diagram

    &CTriangular Diagram

    Silt

    Clay

    Sand

    90%

    50%

    10%

    1:2

    2:1

    Silt:Clay Ratio

    Sand %

    Sand

    Clayey Sand

    Muddy Sand

    Sandy Clay

    Sandy Silt

    Sandy Mud

    Clay

    Mud

    Silt

    Silty Sand

    NOTEGravel is also present inthis sample

    VF-74-103

    TEXTURAL GROUP:IGNORING GRAVELFRACTION

    SAMPLE IDENTITY:

    Gravel:

    Sand:

    Mud:

    0.0%

    9.9%

    90.1%

    Coarse Gravel:

    Medium Gravel:

    Fine Gravel:

    Coarse Sand:

    Medium Sand:

    Fine Sand:

    Very Fine Sand:

    Very Coarse Silt:

    Very Coarse Gravel:

    Very Coarse Sand:

    Coarse Silt:

    Clay:

    Fine Silt:

    Very Fine Gravel:

    Medium Silt:

    Very Fine Silt:

    0.0%

    0.0%

    0.0%

    1.2%

    0.9%

    3.8%

    14.7%

    4.0%

    0.0%

    0.0%

    0.0%

    13.3%

    11.5%

    13.9%

    17.1%

    19.6%

    Sand Silt Clay Diagram

    0

    0

    0.1364367845

    1.0530253109

    2.082472825

    1.8992295527

    0.9060321419

    0.0708801829

    0.7451341756

    2.9148447635

    6.0092021823

    8.7596194874

    9.8463622854

    9.7939177877

    8.9605117845

    8.1054446278

    7.2245648744

    6.6559384219

    6.1432717842

    5.4020096238

    4.4180248942

    3.334101832

    2.9051966207

    1.9588741005

    0.6749039561

    0

    &CFrequency Distribution Histogram

    Particle diameter (f)

    Class weight (%)

    Distribution (phi)

    0

    0

    0

    0.1346399946

    1.1985759521

    3.2536238699

    5.1725317931

    6.0301197588

    6.1045907558

    6.8098837276

    9.8054736078

    16.0204453592

    24.7780690089

    34.599024616

    44.300118228

    53.3203928672

    61.4089765436

    68.6282822549

    75.2703749892

    81.4091747436

    86.8400115264

    91.175847353

    94.5626112175

    97.4137621034

    99.3456870262

    100

    100

    &CCumulative Frequency Curve

    Particle diameter (f)

    Cumulative mass retained (%)

    Cumulative (phi)

    0

    0

    0.1364367845

    1.0530253109

    2.082472825

    1.8992295527

    0.9060321419

    0.0708801829

    0.7451341756

    2.9148447635

    6.0092021823

    8.7596194874

    9.8463622854

    9.7939177877

    8.9605117845

    8.1054446278

    7.2245648744

    6.6559384219

    6.1432717842

    5.4020096238

    4.4180248942

    3.334101832

    2.9051966207

    1.9588741005

    0.6749039561

    0

    &CFrequency Distribution Curve

    Particle diameter (mm)

    Class weight (%)

    Distribution (microns)

    0

    0

    0

    0.1346399946

    1.1985759521

    3.2536238699

    5.1725317931

    6.0301197588

    6.1045907558

    6.8098837276

    9.8054736078

    16.0204453592

    24.7780690089

    34.599024616

    44.300118228

    53.3203928672

    61.4089765436

    68.6282822549

    75.2703749892

    81.4091747436

    86.8400115264

    91.175847353

    94.5626112175

    97.4137621034

    99.3456870262

    100

    100

    &CCumulative Frequency Curve

    Particle diameter (mm)

    Cumulative mass retained (%)

    Cumulative (microns)

    Method of Moments - LogarithmicDateModeFirstModeSecondModeThirdModePrint

    9.84636228549.84636228542.0824728250100

    Mean:6.416

    Std. Dev.2.206ClassMode1ClassMode2ClassMode3Classmode4ClassMode5

    Skewness-0.2119.84636228542.082472825

    Kurtosis2.963

    TexureMaximum Frequency

    Sum of Sieve Classes9.8463622854

    100.00ShapeLine

    0095.356385

    Sum of Proportion Classes

    199.7191843621

    Method of Moments - ArithmeticMethod of Moments - GeometricPlease wait while the

    Mean (um)41.461Mean (mm)11.714statistics are calculated

    Std. Dev. (um)98.871Std. Dev. (mm)4.613

    Skewness (um)4.319Skewness (mm)0.211

    Kurtosis (um)23.204Kurtosis (mm)2.963Samples remaining:1

    Kurtosis (um) - 320.204Kurtosis (mm) - 3-0.037

    0%100%

    STATISTICS BY METHOD OF MOMENTSSTATISTICS BY METHOD OF MOMENTSSTATISTICS BY METHOD OF MOMENTS

    APERTUREMID-POINT (m)APERTUREMID-POINT (m)CUM. MASSCLASSCLASSAPERTURELOGARITHMICMID-POINT (m)NORMALISEDARITHMETICGEOMETIC

    (metric)(metric)(PHI Scale)(PHI Scale)RETAINEDWEIGHT (f)WEIGHT(metric)(metric)CLASS WEIGHT

    (mm)(mm)(PHI)(PHI)(%)(%)(g)fm(no units)(%)fmlog mf log m

    2.00-1.0000.000.000.0020000.000.000000.000000.000000.000.000.000000.000000.0000000.000000.000000.00000

    1.401.70-0.485-0.74270.000.000.0014000.000.000000.000000.000001673.30.000.000.000.000000.000000.000003.22400.000000.000000.00000

    1.001.2000.000-0.24270.000.000.0010000.000.000000.000000.000001183.20.000.000.000.000000.000000.000003.07300.000000.000000.00000

    0.710.8550.4940.24710.130.130.137100.035.12330-31.60371194.95128842.60.270.14115.1289110.8712872495156.5826458977626996.194302.9260.39390669630.464270.862121.60090

    0.500.6051.0000.74711.201.061.065000.7934.18772-193.797181098.56254595.82.101.05643.68337880.57458190408833.60534107302776904.199002.7752.95254375843.098065.286609.02119

    0.360.4281.4941.24713.252.062.063552.5654.89984-283.756421466.62904421.34.162.08878.53306255.57294118226552.0536845640043302.219402.6255.39367707724.974977.7406112.04368

    0.250.3032.0001.74715.171.921.922503.3541.82454-195.26286911.60803297.93.791.90580.47130756.8538034132619.971228909940184.646742.4744.74753973743.790105.326597.48596

    0.180.2152.4742.23706.030.860.861801.9214.97486-62.57559261.48517212.11.810.91184.3825826.892524481969.46984777795869.533332.3271.99526952681.357011.707002.14727

    0.130.1533.0002.73706.100.070.071250.201.00781-3.7074313.63857150.00.140.0711.36918.19971101955.8486611321061.141652.1760.16205568570.091330.101140.11200

    0.090.1083.4743.23706.810.710.71902.287.12641-22.6527972.00663106.11.490.7575.823075.87501203127.2769713414293.678132.0261.42862470090.645790.617950.59131

    0.060.0773.9893.73129.813.003.006311.1821.58714-57.94974155.5635575.35.822.91229.163677.75060128864.186024515254.092111.8775.62209771281.956211.580811.27746

    0.040.0544.5064.247416.026.216.214426.4029.21838-63.35263137.3640852.612.006.01332.50900.7615510844.14168130551.096731.72110.69843132262.647741.728201.12801

    0.030.0385.0074.756624.788.768.7631.141.6624.10423-39.9895766.3437837.017.498.76328.85133.96555-523.958122049.273881.56813.73288685652.184301.090880.54480

    0.020.0275.5065.256634.609.829.822251.6313.19292-15.2909517.7226326.219.679.85260.752183.61204-32560.14620485508.918861.41813.92210353361.195530.417120.14553

    0.020.0196.0025.754344.309.709.7015.655.824.24301-2.806081.8557818.519.569.79182.384981.77636-112892.734612558278.134891.26812.29879075640.384500.076550.01524

    0.010.0136.5066.254353.329.029.021156.420.23481-0.037890.0061113.117.908.96119.977153.52737-201451.490345673103.749261.11710.07797979160.021280.001030.00005

    0.010.0097.0066.756261.418.098.097.7854.650.937840.319340.108749.316.198.1175.958319.57794-266818.354228557168.960470.9667.81507744910.08499-0.008710.00089

    0.010.0077.5067.256268.637.227.225.552.385.100124.286703.603016.514.437.2247.948753.49361-304806.6320910613714.600490.8165.88857934290.46217-0.116940.02959

    0.000.0058.0067.756275.276.646.643.8951.5211.9356115.9997921.447864.613.296.6631.188978.44285-330102.6925912136602.017740.6654.41802880061.08159-0.436460.17613

    0.000.0038.5068.256281.416.146.142.7550.6820.7950238.2734370.442603.312.276.1420.388930.39812-340615.5706712991466.381110.5153.15927895041.88443-1.044060.57846

    0.000.0029.0108.758086.845.435.431.9447.5629.7972569.79607163.487932.310.795.4012.748309.57378-325038.4566812714249.981020.3641.97447418732.70020-1.903971.34253

    0.000.0029.5019.255491.184.344.341.3840.1334.9649099.29149281.962771.68.824.427.206868.53106-273375.3704910880651.565110.2140.92717690293.16849-2.708582.31543

    0.000.00110.0109.755494.563.393.390.9733.0437.77567126.16121421.346591.26.663.333.985496.62674-221437.877788920877.484740.0630.21446821143.42320-3.441563.46002

    0.000.00110.50110.255497.412.852.850.6929.2442.03640161.40918619.770490.85.802.912.374706.93531-191248.150667770630.50436-0.087-0.24859066963.80930-4.403095.08944

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