SURFICIAI. GLACIAL DEPOSITS 0F 'II'IE MICHIGAN-SAGINAW LOBES IN* THE GRAND RAPIDS AREA, MICHIGAN»! A STUDY OF RELATIONSHIPS‘ 'I‘husil for flu Dwm ‘o'f MI '8'.- MICHIGAN STATE UNIVERSITY Laurence MackenzIeWiIsa-n' T955 / M 3 1293’" 1028744114” SURFICIAL GLACIAL DEPOSITS OF THE MICHIGAN-SAGINAW LOBES .IN THE GRAND RAPIDS AREA, MICHIGAN: A STUDY OF RELATIONSHIPS By LAURENCE MACKENZIE WILSON A THESIS Submitted to the School of Graduate Studies of Michigan State University of Agriculture and Applied Science in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Geology 1955 THESIS "f'fi - --'v ' M '7' AG mm '1‘" our“? AX-"V ~| ' x); -J-J“ .3. The writer wishes to express sincere appreciation and thanks to Dr. S. G. Bergquist for suggesting the problem , his direction in the field and laboratory, and for critically editing the manuscript. He wishes also to thank Dr. B. T. Sandefur, Dr. J. Zinn, Dr. W. A. Kelly and Dr. J. W. Trow for their advice and suggestions. He is also greatly indebted to firs. L. V. Wilson for her assistance in typing the manuscript and her many suggestions and encouragement. SURFICIAL GLACIAL DEPOSITS OF THE MICHIGAN-SAGINAW LOBES IN THE GRAND RAPIDS AREA, MICHIGAN: A STUDY OF RELATIONSHIPS By LAURENCE I-JACKE‘NZIE WILSON AN ABSTRACT Submitted to the School of Graduate Studies of Michigan State University of Agriculture and Applied Science in partial fulfillment of the requirements for the degree of NASTER OF SCIENCE Department of Geology 1955 - ApprovedW ' SURFICAL GLACIA DPPO ITS 03 THE Mlczicar-saeirar LOBES (I) —_ IN THE GRAND RAPIDS AREA, MICHIGAN: A STUDY OF RELATIONSHIPS Laurence KacKenzie Wilson The use of pebble counts to distinguish between the drift sheets of different glacial stages had long been a practice of geologists. It was decided to analyze a series of samples from an interlobate area and determine if pebble counts could be used as a criteria of differentiation between lobes of the same glacial stage. The interlobate of the Charlotte-Lake Border moraines was selected as having the requisite qualities for such an investi— gation. Samples from these moraines, in the area of their inter- lobate, were analyzed by pebble counts. The results were expressed in tabular and graphic form. The study indicates that certain distinguishing differences do exist between the moraines sampled on the basis of percent- ages of certain lithologic types. Future work with other formations and areas may further establish such relationships. TAELE 0? CONTENTS Page INTRODUCTION . . . . . . Location and Extent . . ... . . . . . . . Culture . . . . . . . . . . . . . . . . . Topography . . . . . . . . . . . . . . . Lake and Drainage . . . . . . . . . . . . DEFINITION OF TIZE PROBLEI.’ . . . . . . . . . o m m euHHH FIELD PROCEDURE 0 o o o o o o o o o o o o o o FIELD IIQTES. o o o o o o o o o o o o o o o o o 8 LAEJFATORY PROCEDURE . . . . . Drying and Disaggregation . . . . . . . . 20 Laboratory Sampling . . . . . . . . . . . 20 Sieving . . . . . . . . . . . . . . . . . 21 Pebble Count. . . . . . . . . . . . . . . 28 Identification and Classification . . . . 29 RESULT S 0 0 o o o o o o o o o o o o o o o o o '73 CODTCLITSIOTIS . o o o o o o o o o o o o o o o o '75 BI ELI O (IT-.911) TY o o o o o o o o o o o o o o o o o '78 APPE: TJIX o o o o o o o o o o o o o o o o o o o 80 Table I. II. III. IV. V. VI. VII. VIII. Table of the weights of the residue of each sieve size from the one kilogram laboratory sample Legascopic Classification of Igneous ROCICS . O O O O 0 O O O O O O O O O O O Generalized Classification of Sediments a 1 1. Classification 0 Metamorphic Rocks. . Identification Table of Common Rock Tiiinerals . O O C O O O O O O O O O O C C Table of the results o?'the pebble counts by number and by weight. . . . . . . . . Three separate counts of Sample #8 ”I Table of composites 0: pebble counts percentage by number, of the Charlotte and Lake Eorder moraines . . .. . . . . . ILLUSTRATIONS Sketch Yap of Sample Locations . . . . . . Graphs of the results of the pebble counts percentage by number and by weight . . . . Page 25 91 82 85 84 51 73 75 INTRODUCTION The surficial glacial deposits specifically studied in the vicinity of the Grand Rapids area in Michigan were limited to segments of the Lake Border and Charlotte mo- raines. These features have been described by Frank Leverett and Frank B. Taylor (1915, pp. 204-214 and 222-252), and mapped by Frank Leverett (1924). In the following paper the application of a glacio~sedimentary technique, the pebble count, has been used to determine some of the rela- tionships and differences in these features. Location and Extent The portion of the Charlotte moraine involved in this study extends from three miles north of Hastings, Michigan, T.4 N.,R.9 W., to the interlobate of the Lake Border and Charlotte moraines near Rockford, Michigan, T.9 N., R.lO W. The portion of the Lake Border moraine studied continues from this interlobate to a few miles north of South Haven, Michigan, T.l N.,R.17 W. (Figure 1). These deposits are continuous for about 75 miles in linear extent with variable width ranging from a fraction of a mile to about eight miles. Culture The area is accessible by Federal and State highways, 22 pointed out that the sieves sort grains according to shape as well as size. He illustrated his argument thus: The largest sphere that can pass through a given sieve has a diameter equal to the mesh, whereas a lath of any length theoretically, can pass through the sieve, providing only that its two smaller dimensions are less than the maximum dimensions of the mesh, including its diagonals. As may be seen, a long lath might have a much greater volume than a sphere of the same cross section, and hence if size is defined in terms of the nominal diameter, based on volume, the sieving process does not sort according to size. Despite the validity of this criticism sieving has been and still is a widely accepted practice and does serve a purpose. The criticism is included only to serve as a warning to those who study the graphs not to interpret them with a view toward the homogeneity or heterogeneity of the sample sections. The sieving separated the samples so that a vital study of the pebble fraction might be undertaken. Figure 1 Sketch Map of Sample Locations ' a". u | a}? Ten , bc 0 \ l s 7 L io TAW‘ / Wiri‘fifly . fins,“ (k \] 7 9 5 ‘ “‘“é‘ <2} 4 4L‘,Aga3 .T . 3:; ALLEGM _ BARRY a HA srmes M 1 ”amt TIN van AL l nvns :5 MI I3 l2 ll IO 9 Row Area Map (::)Nbraines studied A'.2.3 Sample numbers and lor: ' ' county roads, farm roads and lanes. The major portion of the area which has been cleared for agricultural and pasturage purposes is interspersed with localized woodlots, primarly of second-growth timber; white oak, American elm, hard maple and white pine. Near the Lake Michigan shore extensive peach and apple orchards and vineyards occupy much of the land under cultivation. In the vicinity of Grand Rapids suburban residential areas have encroached on the moraines. The encroachment has impeded the collection of data in this area to some extent. Topography Along much of the Charlotte moraine, the topography is of the swell and sag variety, with knolls 10 to 75 feet in height. In the reentrant angle of the Saginaw and Lake iichigan lobes there are a few prominent knobs which range from 100 to 200 feet in elevation. Among these Dias Hill, which rises to 1,032 feet above sea level or about two hundred feet above the surrounding country, has been studied as part of the problem. The Lake Border moraine consists of till ridges that are interrupted by gaps in which sand plains occur, a series of low swells and shallow basins. Lakes and Drainage Both of the moraines under study are cut and drained by a number of streams which in some areas are lines of delimitation of the moraines. A number of lakes and swanps are found both in the moraines and on their borders. DEFINITION OF THE PEOBLEN The Charlotte and Lake Border moraines have been correlated with two separate lobes of glaciation. This correlation has been on the basis of conspicuous reentrant angles, the conformation of glacial features to present marginal orientation, and patterns of outwash together with.other criteria. Pebble counts have been made as a basis of discrim- ination between drift sheets of different glacial stages. It is the purpose of this study to determine if pebble counts can be used to show some of the relationships or differences in moraines formed by different ice lobes. FIELD PROCEDURE The field work which was started in the late fall, 1954 extended into the early spring, 1955. A number of week- ends were spent in the area. After sample collecting had been completed the area was revisited to confirm certain aSpects of the problem. The field investigations were guided primarily by the Map of the Surface Formations of the Southern Peninsula of Michigan prepared by Leverett, Taylor and others; U. S. Geological Survey 15 minute series (topographic) maps; Michigan State Highway Department County Maps; and state and county maps prepared by the Automobile Club of Michigan were also used to good advantage in the determination of sampling locations. Sampling areas were selected at approximately six to eight mile intervals along the linear extent of the moraines. Three samples were taken in each sample area at approximately one mile intervals (Figure 1). All samples were collected by the channel method as described by F. C. Krumbein (1958, pp. 16-18). This method of collection insures a good sample where the average char acteristics of a deposit are to be determined. The channel was out about one foot wide, exposing 6 a nearly vertical face, the sample collected was taken to a depth of three feet beneath the base of the leached zone. The base of the leached zone being determined by the hydro- chloric acid test. At the base of the vertical sampling face a shallow indentation was cut and one edge of a small tarpaulin was inserted into the indentation. Next a mattock was used to scrape an even layer from the channel face, allowing it to drop and be caught on the tarpaulin. The thickness of the sample removed was equal to the diameter of the largest pebble encountered, thus giving a representa- tive sample. The tarpaulin with its contents was then removed from the channel and the sample was thoroughly mixed and placed into a conical heap. If at this point the total sample ex- ceeded the capacity of the collection boxes, 264 cubic inches, it was divided into quarters and the two alternate quarters were then discarded. This reduced the sample to the capac- ity of the collection boxes and a quantity sufficient for laboratory analysis. FIELD NOTES CHARLOTTE MOHAINE - Barry County Sample #1 Locality: Sflfi Sec.24,T.4 N.,R.9 W. A road cut through the base of a gentle hillock. Topography: Gentle swells and sags. Depth of leaching: 59 inches. Characteristics: Light brown, crumbly clay with paucity of pebbles. Sample #2 Locality: NWfi 860.27,T.4 N.,R.9 W. Working face of a gravel pit in a kamic moraine. Topography: High kamic feature above the valley .0 0L the Thornapple River. Depth of leaching: 52 inches. Characteristics: Kamic sand and pebbles over a pure white sand. Sample #3 Locality: Wt Sec.56,T.4 N.,R.9 W. A roadcnn: near the crest of a high ridge. Topography: A high ridge cut by a number of gullies near the valley of the Thornapple River. Depth of leaching: 45 inches. Characteristics: A light brown, sandy clay with considerable pebble content. 8 Sample #4 Locality: SEfi Sec.25,T.4 N.,R.lO W. Working face of a gravel pit in a kamic moraine. Topography: A single large kame separated from the mass of the moraine. Depth of leaching: 48 inches. Characteristics: Kamic gravels and sands. Sample #5 Locality: NEg Sec.24,T.4 N.,R.lO W. Road cut into a swell of the moraine. Topography: A ridge cut by numerous gullies above ground moraine. Depth of leaching: 51 inches. Characteristics: Gravel grading into a very sandy clay with depth. Sample #6 Locality: SWi Sec.l9,T.4 N.,R.9 W. Side of a 11 foot drainage ditch. Topography: A clay plain in front of a ridge of the moraine, cut by numerous drainage ditches. Depth of leaching: 59 inches. Characteristics: Sandy clay with scattered pebbles. 10 CHARLOTTE MORAINE - Kent County Sample #7 Locality: NWfi Sec.29,T.5 N.,R.ll W. Deep road~ cut on the east flank of Dias Hill. Topography: To quote Frank Leverett (1915, p. 205): . . . an irregular mass covering scarcely two square miles. . . rises 1,052 feet above sea level, or nearly 200 feet above surrounding country. A kame dominating this area of the moraine. Depth of leaching: 89 inches. Characteristics: Fine sand with some clay and scattered pebbles. Sample #8 Locality: NE: Sec.50,T.5 N.,R.ll W. Wall of a gravel pit near the crest of the Dias Hill complex. Topography: Near the crest of a kame which domi- nates the moraine. Depth of leaching: 75 inches. _ Characteristics: Very light brown sand with clay bond; containing many pebbles and small cobbles. 11 Sample #9 Locality: NW£ Sec.20,T.5 N.,R.11 W. A road cut on the north flank of Dias Hill. Topography: The kame merges into the swell and sag of the moraine. Depth of leaching: 80 inches. Characteristics: Sandy clay containing pebbles and cobbles. Sample #10 Locality: NE; Sec.2,T.7 N.,R.ll W. Road cut. Topography: Gentle swells and sags with many lakes in the low areas. Depth of leaching: 75 inches. Characteristics: Sandy brown clay, few pebbles. Sample #11 Locality: SE; Sec.l,T.7 N.,R.ll W. A road» cut on the northwest base of a knoll. Topography: A kame on the edge of the valley of the Grand River. Depth of leaching: 59 inches. Characteristics: Kamic gravels and sand. 12 Sample #12 Locality: SEfi Sec.25,T.8 N.,R.11 W. Road out on the southeast slope o? the valley of the Grand River. Topography: The moraine is cut by the Grand River, the valley is relatively flat and the walls or slopes are cut by tributary creeks of the river. Depth of leaching: 59 inches. Characteristics: Sands and fine gravels possibly kamic in origin. Sample #15 Locality: V: Sec.51,T.9 N.,R.10 W. Road cut. Topography: Gentle swells and sags dissected by many streams. Depth of leaching: 14 inches. Characteristics: Clay containing numerous pebbles. Sample #14 Locality: 8%; Sec.51,T.9 N.,R.lO W. Road cut. Topography: Kames above the valley of the Rouge River. Depth of leaching: 60 inches. Characteristics: Sand with scattered pebbles. 15 Sample #15 Locality: NW; Sec.6,T.8 N.,R.1O w. Road out. Topography: Kama on the ridge above the valley of the Rouge River. Depth of leaching: 47 inches. Characteristics: Sand with a paucity of pebbles. LAKE BORDER MORAINE - Kent County Sample #16 Locality: SW; Sec.25,T.9 N.,R.ll W. Gravel pit. Topography: Kamic moraine forming the bank of the Rouge River. Depth of leaching: 43 inches. Characteristics: Sandy gravel. Sample #17 Locality: SWfi Sec.26,T.9 N.,R.ll W. Road cut in the flank of a kame. Topography: Kamic moraine, the low areas contain- ing small lakes. Depth of leaching: 44 inches. Characteristics: Kamic sands and gravels. 14_ Sample #18 Locality: NEi Sec.55,T.9 N.,R.1l W. Gravel pit. Topography: Kamic moraine above the valley of the Rouge River. Depth of leaching: 39 inches. Characteristics: Kamic gravels. Sample #19 Locality: SE: Sec.4,T.7 N.,R.12 W. Road cut. Topography: Gently rolling, considerable modified by urban development. Depth of leaching: 30 inches. Characteristics: Sandy clay with considerable pebbles. Sample #20 Locality: SEi Sec.9,T.7 N.,R.12 W. Cellar excavation for a residence. Topography: Very gentle swells and sags. Depth of leaching: 57 inches. Characteristics: Fine sands and gravels. Sample #21 Locality: SWfi Sec.2l,T.8 N.,R.l2 W. Channel cut in the bank of Indian Creek. Topography: Gentle twell and sag, cut by numerous streams and modified by urban development. Depth of leaching: 68 inches. Characteristics: Sandy gravels. LAKE BORDER NORAINE - Ottawa County Sample #22 Locality: NEi Sec.8,T.5 N.,R.13 W. Channel in the side of a drainage ditch. Topography: Very gentle swells and sags and occasional interruptions in the form of sand plains. Depth of leaching: 30 inches. Characteristics: Sandy clay with occasional pebbles. Sample #23 Locality: NEfi Sec.15,T.5 N.,R.13 W. Gravel pit in a large kamic mass. Topography: A series of knobs perched on a ridge of the moraine. Depth of leaching: 31 inches. Characteristics: Kamic gravel and very sandy clay. Sample #24 Locality: SE: Sec.15,T.5 N.,R.15 W. Road cut through a kamic knob. Topography: Kames perched on the moraine which rises as a ridge above a sand plain. Depth of leaching: 33 inches. Characteristics: Kamic sands and gravels. LAKE BORDER NORAIEE - Allegan County Sample #25 Locality: SN; Sec.26,T.4 N.,R.14 W. Gravel pit in a kame. Topography: Kame projecting above a sand plain. Depth of leaching: 20 inches. Characteristics: Kamic sands and gravels interspersed with layers of clay. Sample #26 Locality: SE: Sec.26,T.4 N.,R.l4 W. Abandoned gravel pit. Topography: A kame isolated from the main ridge of the moraine by a small sand plain. Depth of leaching: 21 inches. Characteristics: Very sandy and kamic gravels. Sample #27 Locality: Kw: Sec.21,T.4 N.,R.l4 W. The side of a drainage ditch. Topography: A plain broken by occasional swells and hummocks. Depth of leaching: 13 inches. Characteristics: Light brown crumbly clay, con- taining few pebbles. 17 Sample #28 Locality: SE; Sec.35,T.4 N.,R.15 W. Sidewall of a drainage ditch. Topography: Generally flat plain or ground moraine. Depth of leaching: 14 inches. Characteristics: Chocolate brown clay, pebbles sparce. Sample #29 Locality: SWfi Sec.28,T.4 N.,R.l5 W. Road cut. Topography: A hummock above the general level of the ground moraine. Depth of leaching: 14 inches. Characteristics: Reddish-brown clay containing few pebbles. Sample #50 Locality: SE: Sec.4,T.5 N.,R.15 W. Road cut. Topography: Steep gullies cut into the ridge of the moraine that forms the north side of the Kalamazoo River valley. Many kames along the ridge. Depth of Leaching: 54 inches. Characteristics: Kamic sand, scattered pebbles. 18 Sample #31 Locality: NE; Sec.35,T.3 N.,R.l6 W. Road cut. Topography: Gentle ridges separated by sand plains. Depth of leaching: 48 inches. Characteristics: Sandy clay with a paucity of pebbles. Sample #32 Locality: Nbi Sec.3,T.2 N.,R.16 W. Road cut. Topography: Moderate swells and sags. Depth of leaching: 12 inches. Characteristics: Clay with pebbles, brown sand- stone abundant. Sample #33 Locality: Sh: Sec.3,T.2 R.,R.16 W. Gravel pit. Topography: A kamic knob on a swell in the moraine. Depth of leaching: 25 inches. Characteristics: Kamic sand and gravel, brown sandstone predominating. Sample #54 Locality: NE; Sec.l3,T.l N.,R.l7 W. Cut in a ridge. Topography: Gentle swells and sags broken occasion- ally by sand plains. Depth of leaching: 10 inches. Characteristics: Heavy yellow clay with moderate quantities of pebbles. 19 Sample #35 Locality: sag Sec.13,T.l N.,R.l7 w. Clay cliff. Topography: Steep clay cliffs above the Lake Michigan shoreline. Depth of leaching: 11 inches. Characteristics: Yellow clay containing numerous pebbles. Sample #36 Locality: NE; Sec.24,T.l N.,R.l7 W. Clay cliff. Topography: Steep clay cliffs above the Lake Michigan shoreline. Depth of leaching: 10 inches. Characteristics: Clay with pebbles. LABORATORY PROCEDURE The purpose of the laboratory work associated with this problem was to ascertain the percentage by number and by weight of the pebble fraction of the specimens collected in the field. Drying and Disaggregation Since the field samples contained varying amounts of moisture all the samples were thoroughly dried upon being brought to the laboratory. Since a number of the samples consisted of unconsolidated sand and gravel they presented no disaggregation problem; however, some of the samples con- tained sufficient amounts of clay Which upon drying produced hardened lumps. When such lumps were present, the sample was placed on a wooden board and crushed by a wooden rolling pin until no aggregates larger than a pea were present. Laboratory Sampling The laboratory samples were split from the field sample by an adaptation of the hand quartering system developed by F. J. Pettijohn (1951, pp. 432-455). Four rectangular sheets of paper were overlapped to form a square composed of one quarter of each sheet. The sample was then poured on the center of the square, in a circular 20 21 heap, and the papers were then pulled apart. When necessary, the opposite quarters were recombined and the process re- peated until a small enough split was obtained. A one kilo- gram quantity was selected as the standard laboratory sample under the rule set forth by C. K. Wentworth (1926), and quoted by W. C. Krumbein (1958, pp. 51-2): . . . a sample large enough to include several fragments which fall in the largest grade pre- sent in the deposit. Several fragments may be interpreted as a number sufficiently large so that the probability of a serious accidental deviation from the normal number of such frag- ments in a sample collected by a reliable random method is small. Sieving After drying, diaggregation and splitting the labora- tory samples were sieved in two, six sieve sequences. The two sequences were subjected to 10 minute periods in the Ro-Tap sieving machine and the residue of each sieve size was weighed to the nearest hundredth of a gram. The twelve sieves used were: 6, 10, 14, 20, 28, 35, 48, 65, 100, 150, 239, 525 meshes per inch. Tables comparing the weights of the sieve sizes at all stations are shown in (Table I, page ). The sieving was done primarily to separate the sample into a convenient size unit for further study, and not as an instrument of mechanical analysis. The process of sieving involves numerous complexities that limit the accuracy of this system. W. C. Krumbein (1958, p. 124), cites arguments set forth by E. A. Mitschlerlich (1905, p. 37), Who ¢H.b®® woommm om.w®® ob.®®® mwommm Hmommm an.bm® omemmm H4808 nn.& l mm.HH mN.OH N0.0H N¢.®H m©.HH b®.H OH.OH ho'GHwEom mm.OH mw.®& mm.m¢ ¢®.N bN.¢ m©.mm mm. OO.¢ mmn OH.NH hm.¢m wmemo moeo Fm.© Hn.On Om. 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Op.mm l ON.O Om.m peecaesem OH.» eO.e Om.HH ow.e OO.e OO.Om OH.m OO.H mmn Oe.oH eO.nm .Oe.nH Oe.ea on.e Oa.me oe.m Om.e one OH.em mO.nm OO.eH OO.HH we.» O0.0n Om.HH on.en omH Om.mm me.en OH.ON O¢.Om Op.OH om.ee Oe.mm Om.ee OOH Oe.OnH ON.HmH Om.HO om.mOH Om.emH OO.eHH Os.ema oe.neH me oe.ena me.anm om.Oem Oe.nea O@.HHH OO.ee Oe.OeH Ob.eOH we on.ee Os.nHH O0.0HH om.mm O>.OO oe.nm Om.mmH Oe.ee mm OH.Om Om.ee OO.Om OO.mm Ob.Oe Om.nm Om.mm OO.ne mm oe.Oe en.me OH.em om.me oe.Oe Ob.me om.me om.me Om Os.He Ob.mn OO.em Ob.Oe om.mm OO.me Ob.ee Oa.ae an Om.eHH me.mn Oe.OOH Ob.nma Om.eom OO.H>H Om.OnH Om.mm OH om.nem Oe.enm OH.eeH Os.nem on.mea OH.nOH mo.ona Om.mem o era r Jada amp 8% ewefim New emWLunlunmmh eeflm madame haoumpopma Emamoafix ego one Scam cmfiw o>mfim home we capfimoa can mo mugwfios esp mo canme Apoficfiucoov H mude OH.mOO me.mOO ne.mmm Oe.eOO Haeoe oe.mH OO.mH OH.mH omaal eeeeHesem Os.e Op.OH OH.HH Om.m mmn OO.mm OH.mm Om.OH Oe.w Omm Ob.em Ob.Hm oe.mn OO.e OeH Om.ee Om.ne HH.Oe OO.mH OOH om.OmH O¢.HNH ne.eHH Oe.em we OH.mm OH.mm Oe.em me.Hm me OO.mmH OH.emH eH.OmH ow.mm on Om.He mO.nO Om.ee Oe.ne mm on.Oe om.ee OH.Om oe.ee om Op.ne ne.ee Om.ee mm.em eH Os.mO on.ee oe.OO me.neH OH Op.eHn Oe.mmn we.OHn Om.nmm e eraw new» ens pea eeeeam oHQEwm oHQEmm whopwaoneH EQOOHfix ego can Seam. Apozcfipsoov H €Qm¢e oNHw c>ofim Some we oSpHmoh can we mpnmfioa esp mo oHQmB .mmumH .ee .meOH .eee .n .e: .O.He> .Hanenes neeeeeeem .enHeeea seem .emH .e .OeOH .eaeem apeeeeeHeem .eeeHHeeem mopeds 3e: 9 ..kummho v0.25 mew. new T: w .0pm.ESnmh¢.unwqpaono.mpHEOHoQ.ocoumoEHq AOHunaHovhecuw T. 0H «mm 3an am «am 3”an noH mam ...... OHSuamnoHom 03.3350 maoooeoaz. 303.350 23% won one OHpHnHHoaM 3 fl 4?: mammuswam xnemuaoq .Ln+ meanness» o H. 2.635% _ enouuausv ocopnpcam Wmue oxowahwpw a r . fifimaunadd 8.9.334 Wm n. m. xnwmanwam xaamusoq nopaaoEOHmnoc mv onaaoo opaaoEOchoo , opaAQEOHwnoo oHnoxp¢ cpapoEOchoo oxoasbuaw uphddd . omdpnoa namupHom hamnpaom meHo menu phone append GoHpHmomEoo ueHee sneeze epHpeHno uaOHE umono append *uunoeapom no GOHpaOHMHnnuHu UONHHaAoGow HHH mgmde NHszmmd &; Pebble Count Various terms in common use are likely to mean differ- ent things to different people; it is desirable, therefore, that they be codified or standardized. Thus a pebble shall be defined according to the system used by F. J. Pettijohn (1949, p. 12), as: . . . a rock fragment, larger than a coarse sand grain or granule and smaller than a cobble, which has been rounded or otherwise abraded by the action of water, wind, or glacial ice. It is therefore between 4 and 64 mm in diameter. Also, it was necessary that a basis of megascopic classifica- tion be adopted in this work. The igneous rocks are classi- fied by a system proposed by Cross, Iddings, Pirsson and Washington (1905, pp. 180-5), based on color, texture, and mineralogical composition (Table II). The sedimentary rocks are classified according to P. D. Krynine (1948, pp. 150- 165), based on textures and mineralogical composition (Table III). The metamorphic rocks are classified according to F. H. Pough (1955, pp. 23-5), and a. H. Lahee (1941, p. 786), based on texture and mineral composition (Table IV). In a pebble count the specific mineral composition is generally of less interest than,or subordinate to, the com- position as expressed in terms of the rock types. The results can be expressed in percentage by number, or the separated fractions can be weighed and the composition expressed in percentage by weight. In this study both methods of computing the results were used. 29 It was discovered after sieving, that the pebble fraction varied considerably above or below the intended number of pebbles to be used in the count. Thus the graphs prepared on the basis of weight of each sieve residue represent the true proportion of the sample. If less than the intended number of pebbles needed for the counts - one hundred, were found in the residue of the one kilogram sample then a second kilogram was sieved and only the pebble residue retained. For each sample area a mass of more than one hundred pebbles was accumulrted and then thoroughly mixed, In order to eliminate as much error as possible in the selection of the one hundred pebbles to be counted, the entire pebble mass was poured into a conical pile on a sheet of paper and separated into four quarters by cutting the pile along two diameters with the edge of a ruler. Alternate quarters were retained and combined, the process was then repeated until approximately one hundred pebbles remained. Identification and Classification The identification and classification of the pebbles counted were on the basis of a system described by F. H. Pough (1955, pp. 70-2). The first step was to determine the classification, if possible, as a igneous, sedimentary, or metamorphic rock type. Next, the constituent minerals were identified by the use of a table prepared by F. F. Crout (1940, p. 3)), Table V). 30 With the classification and the major mineral composition determined, reference was made to the tables of rock classifi- cation for a more detailed identification; igneous rocks by Cross, Iddinjs, Pirsson, and Washington (1905, pp. 180-5), sedimentary rocks by P. D. Krynine (1948, pp. 150-165), and metamorphic rocks by F. H. Pough (1955, pp. 25-5), and F. H. Lahee (1941, p. 786). When a total of one hundred pebbles had been identified and counted the results were prepared as percentage by number and the separate fractions were also weighed and the compo- sition expressed in percentage by weight. It should be noted that when a pebble was fractured to bbtain a fresh examination surface all the fragments were retained to en- sure the proper percentage by weight. 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OOHnoO O0.0 H OH.H H Occamecaw OOHOO O0.0 N OOHOOHO N0.0 O O0.0H O O0.0 O OO.N O OHOOOO OO.OO O OO.HO O OO.OH N OH.ON OH OH.ON s OOHQOOO OH.HH N O0.0H O O0.0H O OOHEOHoa OO.HH O O0.0H e O0.0 OH OH.O HH OOOOO OO.N O OO.O O OO.O HH OOHNOsasO Oom OO.N N OO. O OO.ON O OH.O HH OO.O O OO.O O OOHNOOOOO OOOHO O0.0HN OO O0.000 OO OH.OON Os O0.00H OO OO.OON OO O0.00H HO OQOOOOOOO saoam O0.0HH H OO.H H O0.0 H OOOOOOsHH .Oa .oz .03 .oz .OO .02 .O3 .02 .Os .02 .pg ..02 case soom OOO ONO ONO ONO ONO ONO OHQEOm pnmmos hp UGO MOQESC hp Opczoo OHLDOQ oh» no OpHSOOa can mo OHQOB AUoSQHpCoov H> MHm¢H OO.ONO OOH OO.OOO OOH OO.OOO OOH OO.OOO OOH OO.OOO OOH OO.OOH OOH, HOOOO OO. H Ocoswasa OOOOOOO OO.OO H OO.OH H OOHOOOHOOO OO.HO H ON.OH H OOHHHOOO OO.OO H OH.OO O OOHOOsOom 00.0 H opOaOEOHono OO.O O OH.H H OO.H N OHOOO wmfioflw OO.OOH O OO.OOH O OO.OOH O OO.OO s OH.OO N OH.OH O OOHOoO ofloumficam 099.85 OO.O O OH.O H OO.O O OO.OH H OOHOOHO OO.OOH s OO.OO OH ON.OH HH OO.OO O OO.OH O OO.HH OH OHOOOO OO.OOH HH OO.OO O OO.OO O OO.OO O OO.OO O OO.O O OOHOOOO QpHEOHOQ OO.HO OH OH.OO OH OH.OO O OO.O O OO.OH s OO.HH HO psonO ON.OHH O OO.OH O OH.OO O OO.O H OO.HH O OOHOOOOOO OOO OO.OH O OO.OH s OH.O s OO.O O OOHOOOOOO OOOHH OO.OOH OO OO.OOH OO OO.OOH OO OO.OOO Os OO.OON HO OO.OO NO oOOOOOeOO :aosO OO.OO O OH.O O OO.O O OO. O oOOOOOsHO .OO .02 .Oa .oz .Oa .oz .Oa .oz .Oa .oz .Oa .oz OOHOO seem OOO OOO OOO OOO OOO HOO oHQFOw uQmHO; hp 00a gonads hp AfloscHquov H> mam¢9 mundoo OHQDOQ Onp mo OpHdOOa 030 we OHQOB FIGURE 2 Graphs of the results of the pebble counts - percentage by number and by weight Sample #1 % by weight % by number 60- 60- fl L*Quartz fragment Peridotite Phyllite .Pegmatite Conglomerate Shale 'Gneiss SChiSt White sandstone Diorite (Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone 20J Limestone 0 fl %Quartz fragmentl Feriiafiité Phyllite Pegmatite ’ Conglomerate _Shale” ‘Gneiss Shhist White sandstone ‘Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone 20. C) Sample #2 % by weight % by number 60 - 6O . ‘aQuartz fragment Teridotite fhyllite Pegmatite Conglomerate J Sha 1e Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone 40‘ 20“ anartz fragment Peridotite bhyllite ,Pegmatite Conglomerate Shale ‘Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone O f (/0 by weight %Qpartz fragment Peridotite _Phyllite Pegmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Hd‘H—HflJ—Lrh Limestone 60. 0 Sample #3 % by number (*Quartz fragment ”Peridotite Phyllite Pegmatite Conglomerate _Shale Gneiss ‘Schist ,White sandstone Diorite ‘Basalt Granite ‘Dolomite Chert Red quartzite Light quartzite Brown sandstone ‘Hl—fl—FhHHHJ—b Limestone 60. O Sample #4 6O 60 r _*Quartz fragment _Peridotite ,Phyllite Pegmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite I: Chert Red quartzite _Light quartzite Brown sandstone 4O 71' 2O Limestone O 'aQuartz fragment Peridotite :Phyllite Pegmatite Conglomerate Shale _Gneiss Schist White sandstone Diorite _Basalt Gran it 6 ‘Dolomite | “Chert _Red quartzite hLight quartzite Brown sandstone Limestone 40 ER 20 O Sample #5 % by weight % by'number 6O 6O 1—"l -*Quartz fragment rPeridotite hPhyllite Pegmatite Conglomerate Shale Gneiss ’Sohist }White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone 4O 2O CD r"! H {%Quartz fragment Peridotite Phyllite Pegmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone imestone 4Q"1 20+ Cr Sample #6 r_-x-Q,uartz fragment VPeridotite LPhyllite Pegmatite _Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite ‘Delomite Chert ‘Red quartzite Light quartzite Brown sandstone I imestone y weight I % 60 ' 40 a 20 O U A artz fragment eridotite yllite egmatite onglomerate ale eiss chist ite sandstone orite asilt anite lomite ert ed quartzite ight quartzite rown sandstone imestone % by number 60. 4O 20 O Sample #7 0'7 0 p by weight % by number ‘ FL :%Quartz fragment _Peridotite ’Phyllite bPegmatite Conglomerate PShale aneiss Schist :White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone LLmestone 6Q a; 20 C '%Quartz fragment _Peridotite _Phyllite Pegmatite TConglomerate _Shale _Gneiss ‘Schist LWhite sandstone Diorite Basalt ’Granite Dolomite ,Chert Red quartzite ,Light quartzite Brown 3 andstone Limestone C» Sample #8 % by weight % by number 6‘1““ 60- 'aQuartz fragment ’Peridotite Phyllite ,Pegmatite PConglomerate _Shale ,Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone 40. 20- H O haQuartz fragment Peridotite [Phyllite ,Pegmatite _Conglomerate _Shale ‘Gneiss Schist White sandstone Diorite Basalt _Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone imestone 40 20. O Sample #9 ' by weight (‘1 /O % by nurber 60- 60' :*Quartz fragment PPeridotite _Phyllite Pegmatite [Conglomerate _Shale Gneiss I Schist _White sandstone Diorite Basalt Granite Dolomite ‘Chert JRed quartzite I Light quartzite Brown sandstone Limestone 4O 20. H O '%Quartz fragment feridotite fhyllite Pegmatite [Conglomerate Shale Gneiss Schist _White sandstone Diorite ‘Basalt ‘Granite Dolomite Chert JRed quartzite Light quartzite Brown sandstone Limestone u 40 O *Quartz fragment Peridotite fhyllite @egmatite _Conglomerate -Shale Gneiss F- % by weight Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite flLight quartzite Brown sandstone Limestone Sample #10 60 40 by number ,0 0., %Quartz fragment Peridotite fhyllite fegmatite Conglomerate .Shale Gneiss C Schist White sandstone Diorite Basalt (—1 Granite Dolomite Chert Red quartzite [light quartzite Brown sandstone 6O '- 20 Limestone Sample #11 th .2 by wei I C /o % by number 60 . 60‘ J raQuartz fragment Peridotite Phyllite Pegmatite rConglomerate ,Shale Gneiss Schist White sandstone Diorite Basalt Granite ’Dolomite Chert ‘Red quartzite Light quartzite Brown sandstone Limestone 4O ‘ 20 fiQuartz fragment Peridotite Phyllite Pegmatite ponglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert _Red quartzite ,Light quartzite Brown sandstone Limestone 40‘ 20. Sample #12 % by weight I 60- % by number 60, aQuartz fragment [Peridotite _Phyllite .Pegmatite Conglomerate Shale _Gneiss _Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite _Light quartzite Brown sandstone Limestone 40. 20‘ H1 n O aQuartz fragment ‘Peridotite LPhyllite ‘Pegmatite Conglomerate Shale aneiss mSchist ,White sandstone Diorite Basalt ‘Granite ‘Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone 40, J] /o 20 O % by weight .¢ éQuartz fragment q;eridotite [Phyllite fegmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone 60' 401 20« Sample #13 by number f 0- 1 C” O [*Quartz fragment Peridotite [Phyllite fegmatite Conglomerate Shale EGneiss Schist White sandstone ‘Diorite ,Basalt Granite Dolomite Chert ‘Red quartzite Light quartzite Brown sandstone 40‘F_ 60‘ Limestone CD Sample #14 % by weight % by number 60 60' [fl V*Quartz fragment feridotite Phyllite Pegmatite Conglomerate ‘Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert ‘Red quartzite ‘Light quartzite Brown sandstone Limestone 4O 20 r—T‘1 :31 O :fiQuartz fragment feridotite fhyllite Pegmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone 20‘ O Sample #15 wei ght I 3’6 b? % by number 60. 60— l: %Quartz fragment Peridotite Phyllite egmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone 40‘ 40- 29. fQuartz fragment Peridotite Phyllite fegmatite Conglomerate Shale ‘Gneiss :Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite ‘Light quartzite Brown sandstone Limestone 20- O Sample #16 %'by weight % by number 60 60. 4O 40, %Quartz fragment feridotite Phyllite regmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone E @Quartz fragment Peridotite Ehyllite Eegmatite ponglomerate Shale Gneiss Schist White sandstone Diorite ‘Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone O Limestone *Quartz fragment Peridotite _Phyllite Pegmatite ,Conglomerate Shale I Gneiss fl‘by weight Schist White sandstone Diorite ‘Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone 60 2Q Sample #17 /o by numb er I ILimestone C7 4%Quartz fragment LPeridotite PPhyllite _Pegmatite _Conglomerate ,Shale I ‘Gneiss Schist White sandstone ’Diorite ‘Basalt ‘Granite _Dolomite Chert Red quartzite I Light quartzite Brown sandstone 60~ 20 Limestone c % by weight _eQuartz fragment ‘Peridotite Phyllite :Pegmatite ,Conglomerate ~Shale .Gneiss Schist ‘White sandstone 'Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone 60. Sample #18 by'number 07' /o fan 60, 20‘ “sQuartz fragment _Peridotite .Phyllite _Pegmatite PConglomerate PShale _Gneiss {Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone by weight ,4 ("I /0 Efii-Quar t3 frairizn1fjl'1t ?erid0tite Phyllite [::Pegmatite ponglomerate fihale Gneiss :Schi st White sandstone Dolomite Chert Red quartzite Light quartzite Brown sandstone 60- 46. 20. Sample #19 by number of /o Diorite Basalt Granite Limestone C) aQuartz fragment Beridotite Phyllite Pegmatite ponglomerate Shale Gneiss ESchist White sandstone Diorite Basalt Granite Dolomite ‘Chert Red quartzite Light quartzite Brown sandstone 60- Limestone C) Sample #20 % by weight % by number 60. 60. T O O 0 <14 01 ‘32 o g 0 o L O O O V‘ 02 ¢ %Quartz fragment ~ Peridotite :Phyllite .Pegmatite 'Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt ,Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone -%Quartz fragment Peridotite _Phyllite Pegmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone ibby'weight Peridotite _Phyllite _Pegmatite Conglomerate E Shale Gneiss _Schist White sandstone [:5 Diorite ‘Easalt rGranite Dolomite Chert Red quartzite Light quartzite I *Quartz fragment 60- 40. 20. / Sample #21 /o by number 07’ /0 [Brown sandstone [ILimestone C) aQuartz fragment Peridotite _Phyllite “Pegmatite _Conglomerate hShale Gneiss Schist _White sandstone Diorite ,Basalt ,Granite Dolomite ‘Chert Red quartzite Light quartzite Brown sandstone fi-1 Hm 60. 20. Limestone on H] % by weight '0" HH— [1 Sample #22 60- 40. 20. by number or /"7 rTr Or—lflr—l—l .-—. 80. 60. 40: 20~ bfiQuartz fragment LPeridotite _Phyllite .Pegmatite _Conglomerate _Shale Gneiss Schist _thte sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone *Quartz fragment Peridotite iPhyllite .Pegmatite «_Conglomerate ,Shale Gneiss Schist .White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone Sample #23 %‘by weight % by number 60. 60. H C5 c3 ' o e* m R o’ o' ‘ C) e m %Quartz fragment Peridotite Phyllite Pegmatite Conglomerate » Shale Gne.‘ ss Schist . White sandstone Diorite Basalt Granite Dolomite Chert ‘ Red quartzite Light quartzite Brown sandstone Limestone ‘ aQuartz fragment Peridotite _ Phyllite _ Pegmatite _IConglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert ‘ Red quartzite Light quartzite Brown sandstone Limestone Sample #24 .p it E H 9 5‘ E: r |_ L L.— c; o o 0 £0 <14 N as 5-4 ,8 E E C! E) a I: _ l— E . . . .L O O O O (0 <1‘ 02 *Quartz fragment Peridotite _Phyllite Pegmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite , Chert Red quartzite Light quartzite Brown sandstone Limestone *Quartz fragment ‘Peridotite Phyllite Pegmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt _ Granite t Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone Sample #25 % by weight 3’ b numb er r11 60 H? 60. 4O 40. 20 20. F‘I O *Quartz fragment Peridotite Phyllite Pegmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone *Quartz fragment Peridotite Phyllite _Pegmatite Conglomerate Shale Gneiss Schist white sandstone Diorite Basalt Grantte _Dolomite Chert Red quartzite Light quartzite Brown sandstone [Limestone Sample #26 byiweight 03f / L) % by number L%Quartz fragment _Peridotite _Phyllite “Pegmatite bConglomerate “Shale _Gneiss Schist _White sandstone #Diorite Basalt ‘Granite Dolomite Chert Red quartzite Light quartzite 80 ° 60 - 4O - /0 2O - Brown sandstone “Idnwstone O r LaQuartz fragment _Peridotite PPhyllite rPegmatite tConglomerate ,Shale .Gneiss ”Schist ~White sandstone _Diorite Basalt ‘Granite Dolomite Chert ’Red quartzite Light quartzite 60 . 40 20 - Brown sandstone Limestone Sample #27 _J by weight 0’ /O % by number I] 60. 40. 20. 60. 4o, 20. *Quartz fragment _ Peridotite Phyllite Pegmatite Conglomerate Shale Gneiss Schist . White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone aQuartz fragment Peridotite ‘ Phyllite Pegmatite Conglomerate Shale Gneiss Schist C White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone Sample #28 by weight (Y! [a f i by number N *mfl-nfl O 0 <1" 02 O as o o o (0 <3" 01 O %Quartz fragment Peridotite _Phyllite Pegmatite Conglomerate .Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone aquartz fragment Peridotite Phyllite Pegmatite ”Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone ‘LLimestone ‘7 % by weight V*Quartz fragment Peridotite ”Phyllite " Pegmatite r1 Conglomerate Shale Gneiss Schist .White sandstone Diorite I Basalt Granite E Dolomite bChert Light quartzite *IRed quartzite Brown sandstone ILimestone Cf Sample #29 e by number 60- 4O _ 20_ E E Dolomite r. {*Quartz fragment _Peridotite ”Phyllite Conglomerate Shale Gneiss E Schist _White sandstone Diorite Basalt Granite E Pegmatite Chert fRed quartzite Light quartzite 80 6O 4O 20 Brown swidstone kLimestone O 30 l r Sample % Q by weight % by number 60 _ ,*Quartz fragment tPeridotite _Phyllite pPegmatite Conglomerate {Shale Gneiss Schist White sandstone Diorite ‘Basalt Granite Dolomite Chert Red quartzite N 4O , Light quartqite Brown sandstone Bimestone 2O O bier—1H r—l—‘l fil‘lflvr—n [*Quartz fragment LPeridotite _Phyllite ~Pegmatite LConglomerate _Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite 80 - 60 , 40- 20- Brown sandstone Limestone O [ %Quartz fragment ,Peridotite hPhyllite -Pegmatite Conglomerate Shale Gneiss %'by weight Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite iflaflffl Brown sandstone 60. 40- 20. Sample #31 % by number Limestone I: *Quartz fragment _ Peridotite _ Phyllite . Pegmatite Conglomerate Shale Gneiss SChist White sandstone Diorite Basalt Granite Dolomite Hr] Chert , Red quartzite r‘ Light quartzite Brown sandstone eo »- so Limestone % by weight Sanple #52 (1 J by number I *Quartz fragment LPeridotite _Phyllite ~Pegmatite .Conglomerate PShale Gneiss Schist White sandstone Diorite [:::£EEasalt Gramite ‘ Dolomite Chert Red quartzite Light quartzite LA Brown sandstone ‘ . i Limestone 60 4O 2O 0 “-*Quartz fragment . Peridotite u Phyllite H Pegmatite ~ Conglomerate n Shale _ Gneiss Schist E White sandstone _ Diorite Basalt E; Granite Dolomite Chert Red quartzite Light quartzite L Brown sandstmie . , . _ Limestone 40 2O 0 CO Sample #35 C by we ight C" / J H mm *Quartz fragment .Peridotite .Phyllite .Pegmatite .Conglomerate LShale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone 60‘ 40‘ 20‘ _E'fi % by number _nH-l 7 6O , 4O 20 ‘ O T Limestone %Quartz fragment Peridotite Phyllite Pegmatite _ Conglomerate t Shale . Gneiss Light.quartzite Schist. a White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Brown sandstone Sample-#54 fl 4.3 .53 0H g; r [ O. . L (O O O 0 fi“ (\2 3-: (D a a [ p} ,Q a E [V b l a s a O aQuartz fragment Peridotite _Phyllite Pegmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone *Quartz fragment 'Peridotite Phyllite Pegmatitfi Conglomerate Shale Gneiss Schist White sandstone Diorite : Basalt Granite Dolomite Chert | Red quartzite Light quartzite Brown sandstone , Limestone ‘f o % by weie t 6O . 4O - 20 ‘ Sawmle #55 by number a /J 6O 4O 20 %Quartz fragment Peridotite Phyllite Pegmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone - *Quartz fragment Peridotite Phyllite Pegmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Lighthuartzite Brown sandstone Limestone L by weight 60, Sample #56 by number /0 ("I b 20. Cg}: / 'u f 6O - 2O of'mflln, m *Quartz fragment Peridotite Phyllite Pegmatite Conglomerate , Shale Gneiss Schist White sandstone Diorite Basalt Granite . Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone *Quartz fragment Peridotite Phyllite Pegmatite Conglomerate Shale Gneiss Schist White sandstone Diorite Basalt Granite Dolomite Chert Red quartzite Light quartzite Brown sandstone Limestone RESUL '8 As the pebble counts were conducted all data accrued were recorded in tabular form. When all of the samples had been analysed a composite table was prepared in which 18 major rock units or groups were represented (Table VI). A check on the accuracy of the pebble count was felt to be an integral part of the study, therefore, Sample #8 was selected at random and by the technique described under "Procedure" three counts were made. The results of these three counts, taken from the same total mass of pebbles, are given below in Table VII. It should be noted that after each test count all pebbles were recombined into the total and thoroughly mixed before beginning the next test. TABLE VII Three separate counts of Sample #8 Count 1 Count 2 Count 3 Rock Units No. Wt. No. Wt. No. Wt. Limestone 61 104.55 64 110.25 62 99.85 Brown sandstone Light quartzite 3 15.50 2 6.80 5 16.50 Red quartzite 2 .60 1 .50 Chert 11 2.20 9 2.10 10 2.50 Dolomite 1 1.90 Granite 9 18.40 10 19.30 8 15.75 Basalt 5 1.10 7 1.75 6 1.80 Diorite 2 1.50 1 .70 White sandstone Schist 6 14.80 6 15.80 7 15.25 Gneissa Shale Conglomerate Pegmatite Phyllite l 60.00 Peridotite *Quartz fragment 1 .70 TOTALS 100 218.65 100 158.60 1100 152.45 73 74 In the test of accuracy preformed on Sample #8 the maximum deviation in the numerical percentage was three. Five of the rock units were entirely absent in at least one of the test counts, and in three cases they were absent in two of the test couhts. The weight deviation reached a maximum of 60 grams, however this was in the case of a single fragment counted only in one of the three tests. A deviation of 10.50 grams was the maximum observed in a rock unit that appeared in each count. It was felt that these variations were within the permissible limits of accuracy. An inspection of the table of results indicates a definite correlation between the dominance of a certain variety of pebbles and a specific moraine. The sanples from the Charlotte moraine contained significant amounts of limestone pebbles; those of the Lake Border moraine contained equally significant amounts of brown sandstone pebbles. To better illustrate this correlation a graphic representation of the tabular data is included.(Figure 2). CONCLUSIONS A perusal of the tables and graphs portraying the re- sults of pebble counts will show two prominent differences that exist between the features studied. The Charlotte moraine contains an abundance of limestone while the Lake Border has only moderate amounts. A composite of the samples of each moraine gave the following results: TABLE VIII Table of composites of pebble counts percentage by number, of the Charlotte and Lake Border moraines Rock Units Charlotte Lake Border Limestone 49.0 5.8 Brown sandstone .4 59.0 Light quartzite 5.7 5.5 Red quartzite 4.1 2.8 Chert 11.2 7.8 Dolomite 2.6 1.4 Granite 9.9 7.4 Basalt 7.0 5.7 Diorite 2.2 .9 White sandstone 1.5 .7 Schist 4.5 5.2 Gneiss 1.0 .7 Shale .4 .4 Conglomerate .2 .1 Pegmatite .2 .5 Phyllite .5 .2 Peridotite .1 .2 *Quartz fragment .1 .1 TOTAL 100.0 100.0 Most of the limestone observed in the drift of the Charlotte moraine was white, bluish, or grayish in color. 75 76 Some of the pebbles appeared to be fossiliferous, however, most of the included fossil memains were so badly weathered as to make positive identification difficult. The apparent concentration of light colored fossiliferous limestone, dolomite, and chert in the Charlotte composite led the writer to postulate the possible source beds as being the Bayport limestone. Tie second prominent difference noted in the composites is the high incidence of brown sandstone in the Lake Border moraine. A study of the geologic map of Michigan and other pertinent references (Leverett and Taylor, 1915; Newcombe, 1955; Terwilliger, 1954), led the write to postulate the Lower fiarshall as being the possible source bed. As noted in Table VIII, the Lake Border moraine is not entirely devoid of limestone pebbles. These differ somewhat in color from those of the Charlotte, being mostly brownish to buff. They have some of the characteristics of the Thunder Bay limestone of the Traverse group, but the identification is not to be considered definite. Reference to Table VIII reveals a difference exists in the percentages of granite, basalt, aid diorite in the Charlotte as compared to the Lake Border moraine. This dif- ference can be explained on the basis of the distance the pebbles traveled from their source beds. The shorter the distance, the greater the percentage, according to R. F. Flint (1947, p. 114-116). The difference can also be 77 controlled by the areal extent of the source beds that were exposed to glacial erosion (Flint, 1947, p. 105-6). Reference to geologic maps of Michigan and Ontario aid measurements based on the proposed direction of ice movement (Leverett and Taylor, 1915, p. 62), led the writer to postulate that the source beds of the granite, basalt and diorite pebbles ob— served in the Charlotte moraine were closer than the source beds of the similar types of pebbles in the Lake Border moraine. No significant difference is noted in the percentages of light quartzite and schist in the features studied. White sandstone, shale, conglomerate, pegmatite, phyllite, and peridotite were not found in sufficient quantities to be of value in correlation. The difference in percentages of pebbles of certain rock types and their relationships to specific moraines indicate that this method of study can be used to differentiate between features of different lobes of glacialiation. However, further substantiation by similar studies of other areas should be made to confirm the accuracy of the method. In miy future work on similar problems the author suggests that emphasis should be placed on extensive sampling problems. Also that a definite means of correlation between the pebbles sampled and specific parent formations would be of great value. BIBLIOGRAPHY Cross, Iddings, Pirsson, aid Washington (1905) Quantitative Classification of Igneous Rocks; University of Chicago Press, Chicago. Flint, R. F. (1947) Glacial Geology and the Pleistocene Epoch; John Wiley and Sons, Inc., New York, pp. lO5~116. Grout, F . F. (1940) Kempis Handbook of Rocks Revised Edition; D. Van Nostrand Company, Inc., 1New York, p. 20. Krumbein, W. C., and Pettijohn, F. J. (1958) Nanual of Sedimentary_Petrography; Appleton-Century-Crofts, Inc., New York, pp. 16-18. Kyynine, P. D. (1948) The Vegascopic Study and Field Classification of Sedimentary Rock; Journal of Geology, ‘JOlo 56, pp. 130-1650 Krynine, P. D. (1945) Sediments and the Search for Oil; Producers Nonthly, Vol. 9, pp. 12-22. Lahee, F. H. (1941) Field Geology; McGraw-Hill Book Comapny, Inc., New York, p. 786. Leverett, F. and others (1924) Hap of the Surface Formations at the Southern Peninsula of fiichigan; State of Tichigan, Department of Conservation, Geological Survey Division. Leverett, F. (1917) Surface Geology and Agricultural Conditions of Michigan; State of Michigan, Nichigan Geological and Biological Survey, Publication 25, Geological Series 21, pp. 115-124. Leverett, F., and Taylor, F. P. (1915) The Pleistocene of Indiana and Michigan and the History of the Great Lakes; U. S. Geological Survey Fonograph LIII, pp. 62, 204- 14, 222-252. Nitschlerlich, E. A. (1965) Bodenkunde fur Land-uni Forstwirte; Berline, Germany, p. 57. Newcombe, R. B. (1955) Oil and Gas Fields of lichigan; State of Michigan, pp. 55-57, 81-82. 78 Pettijohn, F. J. (1949) Sedimentary Rocks; Harper and Brothers Publishers, new York, p. 12. Pettijohn, F. J. (1951) Petrography of the Beach Sands of Southern Lake Wich;gan; Journal of Geology, Vol. 39, pp. 452-455. Pough, F. H. (1955) A Field Guide to Rocks and Tinerals; Houghton Nifflin Co., Joston, pp. 25-25, 70-72. Terwilliger, F. W. (1954) The Slacial Geology and Ground Resources of VanBuren County, Eichigan; State of Iichigan, Department of Conservation, Geological Survey Division, pp. 27-29. Wahlstrom, E. A. (1947) Igneous Minerals and Rocks; John Wiley and Sons, Inc., New York, pp. 257-258. Wentworth, C. K. (1926) Methods of'Wechmiical Analysis of Sediments; University of Iowa Studied in Natural History, Vol. 11, No. 11 79 APPENDIX APPENDIX TABLE II MEGASCOPIC CLASSIFICATION OF IGNEOUS ROCKS* Light-colored rocks(leuco rocks) ~ Felsic mineral dominant Quartz present Quartz absent Nonporphyritid Granite Syenite Aplite Pegmatite Phanerites Porphyritic Granite porphyry Syenite porphyry Porphyritic Felsito porphyry Aphanites Nonporphyritic Falsite Porphyritic Vitrophyre Obsidian porphyry Pitchstone porphyry Glasses Nonporphyritic Obsidian,pitchstone,perlite,pumice Fragmental Volcanic ash, tuff, breccia, igneous rocks *After Wahlstrom,_Igneous Minerals and Rocks, 1947, p. 258. 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