evaluating physical data objectives: n you should be able to: locate the physical data on the data...

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Evaluating Physical Data Objectives: you should be able to: Locate the physical data on the data sheet Describe common physical data methods Give examples of how to apply physical data Determine if the physical data is internally consistent Calculate fundamental relationships

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Page 1: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Evaluating Physical Data Objectives: you should be able to:

• Locate the physical data on the data sheet• Describe common physical data methods• Give examples of how to apply physical data• Determine if the physical data is internally

consistent• Calculate fundamental relationships

Page 2: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Exercise - find physical data Complete exercise SSL information manual (SSIR 45) pp

204-206

Page 3: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Exercise - find physical data Find and write the following (page 204):

• Soil Survey Number ______ • Percent clay for C3 horizon _______• Percent fine silt for BS horizon ______• 1/3 bar bulk density for Ap2 horizon ______ • 15 bar on moist soil for Ap1 horizon ______• Water dispersible clay for Ap1 horizon _____• Which horizons have 15bar/clay greater than

0.6? ______• What is the method code for WRD? _____

Page 4: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Exercise - find physical data Find and write the following (page 204):

• Soil Survey Number - S88ME-003-001• Percent clay for C3 horizon - 23.2• Percent fine silt for BS horizon - 28.9 • 1/3 bar bulk density for Ap2 horizon - 1.24 • 15 bar on moist soil for Ap1 horizon - 9.9• Water dispersible clay for Ap1 horizon - 7.7• Which horizons have 15bar/clay greater

than 0.6? Ap1, Ap2, BS, C1 • What is the method code for WRD? 4C1

Page 5: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Physical Methods Each data element has a method

Each method has a method code

The method is • the standard operating procedure• part of the quality assurance program

Lab methods are in SSIR 42: Laboratory Methods Manual

SSIR 42 was written for laboratory technicians

SSIR 51 – Field and Laboratory Methods

Page 6: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Internal Consistency Consistency of data – does it follow

expected trends

-with other analyses

-within pedons

-with genetically and geographically associated pedons

Laboratory consistency (repeatability) is monitored by use of standard samples for each batch.

Page 7: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Evaluating the consistency of physical data

Maximum, minimum, and representative values

Depth trends within a pedon : clay, Db …

Trends in physical, chemical and mineralogical data are compared.

Compare apples to apples. Know the methods used for the data you are comparing. Use the appropriate method.

Page 8: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Inconsistency?

Rerun lab data? Representative site? Variability at sampling site? Sampling procedure.

Reevaluate your hypothesis

Page 9: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Physical Analytical Methods

Particle-Size Bulk Density Water Retention COLE Aggregate Stability

Page 10: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

NASIS ‘Super 7’

Coarse fragments Sand Silt Clay OM Bulk density Ksat

Page 11: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Particle-size analysis

Method 3A1 describes measuring sand, silt, and clay fractions with the pipette and sieves.

The sedimentation theory is based on Stokes’ Law.

Most applicable for soils with crystalline clays.

Page 12: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Particle-size analysis (pipette)

The method is precise within 1.5 percent, absolute.

Only method to obtain fine clay and CO3 clay.

Method is time consuming and labor intensive.

Page 13: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Pipette PSDA analysis Errors with pipette analysis are associated

with sampling and measuring.

Uses pretreatments: OM, salts CO3 …

Generally considered to be superior to other sedimentation methods, particularly at low clay contents where the hydrometer has low sensitivity.

Page 14: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Hydrometer PSDA analysis Less equipment, quicker

Commonly does not remove OM and salts.• (Dispersion can be a problem.)

The major source of error is in the hydrometer reading. (Gee and Bauder, 1979) An error of +- 1 g/L in the hydrometer reading results in an error of about +- 2 wt % for clay size particles.

Page 15: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Evaluation and Interpretation of PSDA Data Lab vs. field texture

Clay distribution with depth and morphology; (argillic? ).

Clay illuviation - fine clay distribution (Higher ratio of fine clay to total clay than overlying and underlying horizons.)

Distribution of silt and sand fractions (PM discontinuities)

Page 16: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe
Page 17: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Weighted average for control section79CA093001 Tangle

control section: 15-65 cm

Hrz Top Bot Thick Clay Product

A1 0 2 12.6

A2 2 15 12.6

Bt1 15 40 25 16.6 415

Bt2 40 71 25 47.1 1178

Bt2 71 109 35.2

Bt3 109 145 31.6

Clay Weighted Average 31.9 (sum/50)

Page 18: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe
Page 19: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Examples of Data Interpretation

• Typical calculations - PSD– Weighted average for control section

• SSIR 45 pp. 16-17

– PSA on clay-free basis• SSIR 45 pp. 188-199

– Changing basis• whole soil• <75 mm• with soil organic carbon

Page 20: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

PSA on clay-free basis

clay fsilt csilt vfs fs ms cs vcs

A1 12.6 15.2 17.5 17.2 7.5 7.7 10 12.3

Divide by 100-clay 17.4 20.6 20.8 9.1 8.3 10.8 13.7

Use to determine PM, lithologic discontinuities

Page 21: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Changing BasisSieve no 4 10 40 200 (1) Whole soilPercent 10 20 15 5 15 15 20Size(mm) 250 75 5 2 0.42 0.074

Sieve no 4 10 40 200 (2) < 75 mmPercent 21.4 7 21.4 21.4 28.7 Divide <75 mm by 1->75/100

Size(mm) 75 5 2 0.42 0.074

10 40 200 (3) < 2mm

29.9 29.9 40.1 Divide each fraction (2) by2 0.42 0.074 1->2mm/100)

sand silt clay Textural separates by

25 39 36 particle size analysis2 0.05 0.002

om sand silt clay Add OM removed during

15 21 33 31 particle size analysis2 0.05 0.002 fraction * 1 - OM/100

Page 22: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

PSDA – comparison of standard vs. ‘gypsic’ method

SAMPLE HORIZON GYP %SAND %,

STD METH.

SAND %, GYPSIC METH.

SILT %, STD METH.

SILT %, GYPSIC METH.

CLAY %, STD METH.

CALC. CLAY %, GYPSIC

METH.

Series: Loki; Coarse-loamy, gypsic, thermic Typic Calcigypsid

06N04753 A0 20 24 51 48 29 28

06N04754 Bw0 14 18 49 46 37 36

06N04755 Bk3 8 15 46 44 45 41

06N04756 2By61 5 41 50 48 45 12

06N04757 2B/Cy85 4 70 61 28 35 2

06N04758 2Cy178 20 81 44 15 36 4

06N04759 2Cy268 6 80 59 15 36 5

06N04760 2Cy371 1 50 27 38 72 12

Page 23: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

PSA Cumulative Curve (Loam)

0

20

40

60

80

100

120

1 10

Size

Perc

ent

Page 24: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

PSA Cumulative Curve (Silt Loam)

0

20

40

60

80

100

120

1 10

Size

Perc

ent

Page 25: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

PSA Cumulative Curve (lvfs)

0

20

40

60

80

100

120

1 10

Size

Perc

ent

Page 26: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Bulk density Moisture state when volume is measured

should be specified.

1/3 bar bulk density - oven-dry mass per unit bulk volume of soil equilibrated at 1/3 bar (<2 mm) tension.• a. Clod method (primary method used by SSL),

provides ancillary data: COLE, water content at 1/3 bar.

• b. Reconstituted (plowed surface layer)

Page 27: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Bulk density Field moist bulk density – oven-dry mass

per unit of bulk volume of soil at field moisture• a. Compliant Cavity, frame, ring

(excavation techniques)• b. Known-volume can, field-moist core• (a. & b. <2mm / not natural fabric)

• Cores that are extracted without disturbing the natural fabric, and which remain in the core can be used for water retention.

• 2. Oven-dry bulk density - oven-dry mass per unit bulk volume of soil at oven dryness (<2 mm)

Page 28: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Other bulk density measurements

Oven dry bulk density - oven dry mass per oven-dry volume unit of soil

Rewet bulk density - used to determine irreversible shrinkage.

Page 29: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Bulk density relationships

1/3 bar bulk density is less than or equal to oven dry bulk density

There is less difference between clod and other methods in soils with less clay, more sand.

Page 30: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Bulk density relationships Average Db at 1/3 bar

• Soils g/cc Organic 0.05-0.35 Sandy 1.50-1.70Silty 1.30-1.60Clayey 1.20-1.40

Lab range for 1/3 bar / Db: 0.03 g/cc - 2.53 g/cc (>2.0 is unusual)

Page 31: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Bulk density average db values

clay_class db_13b(N) db_13b db_od(N) db_od

very-fine 1873 1.17 1907 1.49

fine 10689 1.36 10685 1.59

coarse silty 1089 1.4 1038 1.46

fine silty 5598 1.43 5604 1.56

fine loamy 8621 1.46 8504 1.57

sandy 4189 1.47 4013 1.51

coarse loamy 4842 1.47 4603 1.54

Page 32: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Water Retention

Determined by desorption on pressure plate.

Determined on 1)natural fabric clod /core or 2) <2mm

Page 33: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Water Retention 15-bar (1500 kPa) --ground soil <2 mm

• Approximate wilting point 2-bar (200 kPa)--ground soil <2 mm

• Approximate point at which plants begin to experience stress

1/3 bar (33 kPa) --natural fabric• Approximate field capacity

1/10 bar (10kPa)--natural fabric• Approximate field capacity in sandy soils

Page 34: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Appropriate sample types for water retention

Low tension (1/3 bar , 1/10 bar, - 6, 10, 33, 100 kPa) water retention determinations require clods for textures finer than sandy loam.

Higher tension (2 bar /200 kPa, 15 bar / 1500 kPa) can be determined on <2mm sieved samples.

Page 35: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe
Page 36: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

15 bar to clay ratio ( > 5-10 percent clay)

Provides an indication of dispersion

Rule of thumb-- percent clay equals 2.5 times 15-bar water content minus percent organic carbon.

This may be used to estimate clay content in hard-to-disperse soils.

Page 37: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

15 bar : clay ratio

For a typical soil with well dispersed clays, the ratio is 0.4. (If you remember no more, remember point four.)

Higher ratios indicate poor dispersion of clays.

Page 38: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Mollisols - Mineral Horizons - 15bar/clay

y = 0.472x

R2 = 0.6222

0

10

20

30

40

50

60

70

0 10 20 30 40 50 60 70 80 90 100

Clay

15 b

ar

Page 39: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Alfisols - Mineral Horizons - 15bar/clay

y = 0.4351x

R2 = 0.7259

0

10

20

30

40

50

60

70

0 10 20 30 40 50 60 70 80 90 100

Clay

15 b

ar

Page 40: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Andisols - Mineral Horizons - 15bar/clay

y = 1.2018x

R2 = -0.6483

0

10

20

30

40

50

60

70

80

90

100

0 10 20 30 40 50 60 70

Clay

15 b

ar

Page 41: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

15 bar to clay ratiosOther factors:

Low activity clays lower ratio to < 0.35 High activity clays increase the ratio Variable surface charge and amorphous

clay minerals Organic soils – higher 15bar : clay Other soils with dispersion problems,

salts, gypsum

Page 42: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Low activity clays, iron oxides, clay-sized carbonates produce 15 bar / clay of <0.4.

Ratios of less than 0.3 are common in some soils that contain large amounts

of gypsum.

Page 43: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Isotic mineralogy criteria

The ratio of 1500 kPa water to measured clay is 0.6 or more.

(Also NaF pH > 8.4 and no carbonates.)

Page 44: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

15 bar water = .12 OC = 2% % clay = ______?

Page 45: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

% clay = 2.5 x .12 +2 = 32%

Page 46: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

15 bar water = .12 clay = .50

15 bar water = .23 clay = .27

Page 47: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

.12 / .50 = .24 gypsum? Salts?

.23 /.27 = .85 andic?

Page 48: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Water relationships

Water is held at higher tension by smaller particles.

High tension water is held mostly in micropores (in interstitial spaces between soil particles): <2mm samples vs. clods can be used for 15 bar WR. There is no significant water in macropores at 15 bars.

Page 49: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Water retention different (WRD)

The difference between the 15 bar water content and the 1/10 or 1/3 bar water content on a volume basis• weight percent X bulk density = volumetric

water content

Page 50: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Soil Water Retention Curve

Silty Clay Loam

0

5

10

15

20

25

30

35

40

450

0.0

3

0.1

0.3

3 1 5 15

Suction in Bars

Pe

rce

nt

Wa

ter

wrd

Page 51: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Available Water Capacity (AWC)

The difference between field capacity and wilting point (Wilting point varies with the kind of crop.)

Page 52: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe
Page 53: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe
Page 54: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Water Retention Curve

Page 55: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Soil Water Retention Curve (<2mm)Longford Ap

0

10

20

30

40

50

0.001 0.01 0.1 1 10 100 1000

suction in bars

pe

rce

nt

/ 10

0

VG_vol_NASIS Gregson_volumetric

VG_vol_SSL SSL_vol

Page 56: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe
Page 57: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe
Page 58: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

COLE Coefficient of Linear Extensibility

Page 59: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

COLE –Coefficient of Linear Extensibility

1. When coarse fragments are absent (COLE ,<2mm, 1/3bar-oven dry ):

COLEwhole soil = (Dbd<2mm/Db33<2mm)1/3 – 1

Units = cm / cm

2. When coarse fragments are present (whole soil, 1/3bar-oven dry)

Page 60: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Coefficient of Linear Extensibility (COLE)

Determined using an undisturbed clod

Measures change in volume from 1/3 bar to oven dry.

Page 61: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

COLE – soil paste / soil rod COLE rod = (Lw – Ld) / Ld

uses sieved < 2mm soil

the shrinkage of the soil paste was ~ twice that of the clod with a regression as follows: COLEstd = 0.0124 + 0.571 COLErod (r2 = 0.829). (Schafer and Singer, 1976)

Page 62: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Linear Extensibility Linear extensibility of a layer =

COLE x thickness of layer

Linear extensibility of a soil = sum of LE for all layers to 100 cm or root limiting layer

LE of 6.0 or more is a criterion for most vertic subgroups

Page 63: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Aggregate Stability

measures the retention of air-dry aggregates (2 to 1 mm) on a 0.5-mm sieve after sample has been submerged in water overnight followed by agitation of sample.

Reported as percentage of .5 to 2 mm aggregates retained after wet sieving.

Potential soil quality indicator.

Page 64: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Interpreting IRIS tube data

Page 65: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe
Page 66: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

IRIS tubes can also be used to characterize reducing conditions for studies not specifically related to hydric soil determinations.

Page 67: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe
Page 68: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe
Page 69: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe
Page 70: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 500

10

20

30

40

50

60

70

80

90

100

Routon: BRUSHY SITE, % IRIS tube Fe removed

31246

31246b

31246c

31246c

31246d

depth (cm)

% F

e p

ain

t re

mo

ved

Page 71: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 500

10

20

30

40

50

60

70

80

90

100

Site 161 (CORN FIELD): Percent Fe Removed from IRIS tubes

tube 1

tube 2

tube 3

tube 4

tube 5

depth: cm

% F

e p

ain

t re

mo

ved

Page 72: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 500

10

20

30

40

50

60

70

80

90

100

Routon: WOODED SITE IRIS tubes % Fe removed

31266

31266b

31266c

32266d

depth (cm)

% F

e p

ain

t re

mo

ved

Page 73: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Exercise -- Hydrometer PSDA data spreadsheet

Page 74: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Cumulative Particle-Size Distribution Curve

(<75-mm base)

Page 75: Evaluating Physical Data Objectives: n you should be able to: Locate the physical data on the data sheetLocate the physical data on the data sheet Describe

Exercise: Construct Distribution Curve

Plot measured values from 0.002 to 75 mm on semi-log paper

Sample number 88P3856 Data on pages 204, 209 Plot on chart obtained from National

Soil Mechanics Lab Show how to obtain intermediate values