Caribbean Disaster Mitigation Project
Implemented by the Organization of American States
Unit of Sustainable Development and Environment
for the USAID Office of Foreign Disaster Assistance and the Caribbean Regional Program

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Final Report: Kingston Metropolitan Area Seismic Hazard Assessment
Appendix 3: Kingston Gravity Survey


Chapter 1 Chapter 2 Chapter 3 Chapter 4 Chapter 5
Bibliography Appendix 1 Appendix 2 Appendix 3

Figure A3.0 Bob Moose and Bill McCann take gravity measurements along Old Hope Road during the 1998 Kingston Gravity Survey


A3.1 Introduction

The Liguanea Plain is a broad, low-lying alluvial plain which underlies much of the Kingston Metropolitan Area (KMA). Young, unconsolidated alluvial deposits, such as those comprising the Liguanea Plain, can selectively amplify strong ground shaking during earthquakes, with the period and degree of amplification proportional to the thickness of the alluvium. As was discovered during the first phase of the Kingston Seismic Hazard Assessment, little information is available concerning the thickness of the alluvium beyond a few deep borings (>200 m) that did not penetrate basement rock. An accurate assesment of the seismic hazard in the KMA is dependent upon better defining the thickness of the alluvium, but resources for gathering additional data are limited.

Several potential research strategies that could determine the depth to bedrock in the KMA were investigated during Phase One. One approach is to drill additional deep wells, thereby improving existing contour maps depicting the minimum thickness of the sands and gravels (Figure A2.1). Deep wells are expensive to drill, and provide only site-specific information. A more cost-effective approach would be to use geophysical exploration techniques, such as seismic reflection or gravity profiling, which can provide data from a greater geographic area in less time and at a much lower cost than drilling. Unfortunately, paved roads, high noise levels, and urban development pose obstacles to many geophysical exploration techniques, specifically seismic reflection/refraction or electrical resistivity methods. Gravity measurements, however, are relatively unaffected by urban development, and only minimally impact the surrounding environment (Kick, 1985).

The National Oceanic and Atmospheric Administration (NOAA), National Ocean Survey (NOS) was scheduled to install a sea level/climate monitoring network station in Port Royal during the first part of June 1998 as part of a separate OAS project. The availability of both Global Positioning System (GPS) and gravity experts through the NOS project provided an ideal set of circumstances for conducting a microgravity survey in Kingston at the same time.

A3.2 Gravity Survey

Study Area

The gravity survey in Kingston consisted of two intersecting, 10-km transects (Figure A3.1), each comprised of 25 stations spaced at approximately 400-m intervals. The east-west profile ran from Papine to Six Miles, along Hope Road, through Kings House grounds and surrounding areas, and along Dunrobin Avenue and Washington Boulevard. The north-south profile ran from Constant Spring to Ocean Boulevard at Kingston Harbor, following Constant Spring Road, Halfway Tree Road, and Orange Street. Attempts were made to survey four pre-existing gravity or well data stations (CSPR, CAMP, PIER H, and PIER 3), bringing the total number of survey points to 54.

Figure A3.1 1998 Kingston gravity survey route. Reference wells (Constant Spring, Kings House, and Campion College) also shown

Data Collection

Gravity, elevation, and station-location observations were collected during the period of June 9-11, 1998 by Robert Moose, Miranda Chin, and Doug Martin of the NOS, with the assistance of the Jamaica Survey Department, the Hazard Assessment project members and others listed in the Acknowledgements. Station locations, as determined by GPS measurements are listed in Table A3.1. Station locations were surveyed to an accuracy of 5 cm. GPS measurements were tied to the GPS reference station in Port Royal and the International Terrestrial Reference Frame 1996 coordinate system. Gravity measurements were made using two LaCoste-Romberg gravimeters (D17 and G809) in parallel. The use of two instruments guarded against tares and misreadings of the meters, and allowed for an overall precision of less than 15 microgals per observation. Because temperatures during the survey period ranged from 95o - 99o F, the gravimeters were transported in air-conditioned vehicles to minimize thermal effects. To minimize accelerations caused by the rough roads in Kingston, the gravimeters rode in the passenger seat of the field vehicles.

None of the pre-existing gravity control stations in the Kingston area were recovered. Gravity measurements were made at the approximate location of the two closest sites of former control stations (PIER H and PIER 3). These two stations provided the approximate datum (IGSN71) value for the traverses. This datum serves as essentially a single constraint [for determining the absolute gravity] observed at the southern end of the traverse. Larger uncertainties in adjusted gravity values (see Results) occur at the extremities of the other transects.

Results

Station data from the Kingston survey appear in Table A3.1. Following the survey, the NOS adjusted the gravity data to account for instrument drift, latitude, gravitational and solid earth tides, and the local terrain. A correction for the solid earth tide of 16% of the gravitational tide was also applied. Reduced observations were adjusted by the method of least squares using the method of observational equations with weighted constraints. The standard deviation for the data set is provided in Table A3.1, and as mentioned previously, the greatest sigma values occurred furthest from the control station.

Both Free Air and Bouguer corrections were applied to the gravity data, with the anomalies computed according to the formulas prescribed by the Defense Mapping Agency (1994). Three densities were used for the Bouguer correction, a standard value of 2.67 g cm-3 and two values that bracket observed density of the Liguanea Plain alluvium (1.75 and 2.00 g cm-3 , Jentech Consultants Ltd., personal communication, 1998). Gravity values computed with the most widely used reduction density (2.67 g cm-3) and 2.0 g cm-3, considered to be more representative of the average density of saturated, unconsolidated alluvium, appear in Table A3.1. While there are appreciable differences in the values computed with each density, the overall trend remains the same. Since the entire survey was conducted within the confines of the Liguanea Plain, the values associated with the lower reduction density were used for the remainder of the study.

In order to account for smaller variations in topography that the Bouguer correction does not remedy, a terrain correction is commonly applied to the data. In this survey, terrain corrections were computed using a digital, three-second terrain database compiled by the NOS, integrated out to 0.5-degree using a Fast Fourier Transform. The terrain correction was added to the Bouguer anomaly, and the corrected values, used in the subsequent modeling, appear in the final column of Table A3.1.

Data Modeling

The Bouguer and terrain corrections applied in the previous section are intended to help minimize the correlation of gravity with topography, allowing the correlation of gravity trends with variations in subsurface geology. The observed elevation and adjusted gravity values for both the north-south and east-west are shown in Figures A3.2 and A3.3. There is a rapid decrease in the observed gravity between the 2000 and 2500 m-marks along the north-south transect, and a sharp drop near the -4000 m-mark along the east-west transect. Despite the Bouguer and terrain corrections, there still appears to be a strong correlation between the observation gravity and the topography. This trend would be expected if the subsurface geologic structure controlled the surface topography. In modeling the observed gravity from the Kingston survey, we needed to determine if this type of subsurface control exists.

Figure A3.2: Elevation and Bouguer anomaly data from the north-south transect. Terrain effects were calculated and incorporated into the Bouguer anomaly, but the close correlation of those values with the local topography is still evident.

Figure A3.3: Elevation and Bouguer anomaly data from the east-west transect. Terrain effects were calculated and incorporated into the Bouguer anomaly, but the close correlation of those values with the local topography is still evident, as in the case of the north-south profile above.

Regional geophysical information

Free Air and Bouguer gravity data for eastern Jamaica are summarized in Figure A3.4 (after Andrew, 1969 and Wadge et al, 1983b). While few data points exist in the Kingston Metropolitan area, the data collected during the 1998 survey are consistent with the regional values and trends for the area - a relatively gradual southern gradient (40 mgal/10 km) coincident with the location of the Liguanea Plain.

Calibration wells

Both the north-south and east-west survey routes were run near known deep well locations. Information from the well logs (listed in Appendix 2) were used to help calibrate the Survey results and provide minimum thickness estimates for the Liguanea Alluvium. Seven wells that penetrate limestone (bedrock) beneath the Liguanea Plain were identified from records. Only three well locations were actually recovered at the time of the Survey for gravity measurements. Data for these three wells are listed in Table A3.2 and will be used later for the depth of overburden calculation.

Table A3.2: Calibration well data

Well

Lithology

Depth to Bedrock
(m)

Gravity (mgal)

Campion College

Fine to medium gravels

182.8

76

Kings House

Fine to coarse sands, some clay and silt

131.2

72.5

Constant Spring

Fine to medium sands, coarse gravels

62.4

81.3

Figure A3.4 Free-Air gravity anomaly map of eastern Jamaica. Data from Andrew (1969) and Wadge et. al (1983b).

Figure A3.5 Bouguer gravity anomaly map of eastern Jamaica. Data from Andrew (1969) and Wadge et. al (1983b).

Rock densities

Crustal models constructed using gravity data are dependent upon reasonable estimates of rock densities, with values determined from rock or sediment samples taken directly from the study area or generalized density ranges gleaned from the scientific literature. Values for lithologies in the Kingston Metropolitan area are listed in Table A3.3. Previous gravity studies conducted in Jamaica include rock density estimates for various units (Wadge et al., 1983a,b). Values for the alluvium and carbonates are based on observational data. Data for the deeper units are taken from Wadge et al. (1983b) and Burger (1992).

Table A3.3: Rock density estimates from previous studies, and densities used in the Kingston gravity models.

Unit

Published densities
(g cm-3)

Density used in models (g cm-3)

Alluvium

1.7-2.31
1.72
1.76-1.923

2.0

Limestone
(Kingston Harbor)

2.5-2.81
2.652

2.69

Limestone
(uplands, varying dolomitization)

2.51-2.672

2.75

Granodiorite and volcaniclastics

N/A

2.85

Crust (basalt)

2.7-3.11
2.72

2.87 and 3.0

1 from Burger (1992)

2 from Wadge et al. (1983); limestone values do not account for Tertiary volcanics observed in the northern uplands; near-surface basalt value listed.

3 Jentech Consultants, personal communication, 1998

Grav2D results

With the available geologic data described above, two-dimensional models were generated to explain the observed variation in gravity across the Liguanea Plain (Figure A3.5 and A3.6). In the modeling software, Grav2D, (Hurst, 1988) the user draws polygons representing rock or sediment units and then assigns density values representative of the rock type, which are either based on measured samples or average values. The program then calculates the predicted gravity anomaly based on the density contrast of the polygon with a background density of 2.67 g cm-3. In an iterative process, the user then changes the polygons' shape, location, and/or density, constrained by the independent geologic data, until a reasonable match is made to the observed gravity readings. There is no unique answer in this method of analysis, merely best-guesses that are consistent with the other data sources.

In order for the modeled gravity to be within 10 mgal of the observed data the subsurface polygons in both Figures A3.5 and A3.6, must extend well into the crust, where basalt densities are roughly 2.85-3.0 g cm-3. Each model includes a surface wedge of low-density, saturated sands and gravels, assigned a density of 2.0 g cm-3 (same density used in the Bouguer correction), which represents the Liguanea Plain alluvium. Below the alluvium polygon, outcrop data and previously published geologic maps (e.g., Meyerhoff and Kreig (1977)) indicate the presence of 1-2 km-thick carbonates (limestone and dolomite), which have an average density of 2.5-2.8 g cm-3. The limestone polygons underlying the alluvium in each model was assigned a representative density of 2.69 g cm-3. The same geologic maps indicate outcrops of denser igneous rocks (granodiorite and volcanics) to the north and east, but there is no subsurface control on these units. Geologic cross sections through Long and Dallas Mountains, published by Burke et al. (1980), show the White and Yellow limestone units but provide no deeper information. Crustal models by Wadge et al. (1983b) show the south coast geology, east of Kingston to be composed of Tertiary limestones (2.6 g cm-3) underlain by Tertiary sandstones and shales of slightly higher density (2.65 g cm-3).

The northern limestone in Figure A3.5 was assigned a value of 2.75 g cm-3 because of the inferred proximity of the higher density rocks. The east-west transect (Figure A3.6) passes north of Long Mountain and is associated with a relatively thin alluvial cover. Higher density carbonates, volcaniclastics, and granodiorite outcrop just east of the survey area, and are included in the model.

As was mentioned earlier, the steep topographic drop near the +2 km mark along the north-south transect (Figure A3.5) corresponds with a significant decrease in the observed gravity. A blind, southerly dipping normal fault, with offset of approximately 200 m, was modeled to explain this trend. While the data fit is not perfect, a large proportion of the observed variance can be explained with this structure. However, the thickness of the alluvium, the primary target of the study, is not well constrained; a similar fit was observed with an alluvium polygon 50% larger than the one depicted in Figure A3.5. The gravity gradient observable in the east-west transect (Figure A3.6) is also probably a function of both a westerly thickening wedge of alluvium, but more importantly the high density rocks to the east that may project west into the subsurface.

Figure A3.6 North-South gravity profile (left)
Figure A3.7 East-West gravity profile (right)

A3.3 Calculation of Overburden

Given the inherent uncertainty in the two-dimensional gravity model and the paucity of geologic data for control, an alternate method for estimating thinkness of the alluvium was employed: calculation of overburden. In this method, the deep subsurface structure is ignored, and it is assumed that the gradient observed in the gravity data is primarily controlled by changes in the relative thickness of low-density material (alluvium) near the surface.

Theoretical background

The maximum gravity variation, Dgmax, resulting from a sudden change in overburden thickness is given by

Dgmax = 0.042 DrD

where Dr is the density contrast, and D is the overburden thickness in meters (after Telford et al., 1990). The thickness of overburden can be written as

D = 23.86 Dgmax/Dr

For example, if Dgmax = 10 mgal and Dr

= 0.75 gm/cc, the difference in thickness, D, is 318 meters The density difference between Liguanea alluvium and limestone ranges from 0.7 to 1.0 g cm-3 (see Table A3.3). Figure A3.7 illustrates the change in overburden thickness as a function of change in gravity for density contrasts of 0.7 and 1.0 g cm-3.

Using the gravity/depth observations at the Campion College well as a reference point (station CAMP, 76.006 mgal/ 182.2 m), the difference in gravity between Campion College and Ocean Boulevard (station NS25) is 15.3 mgal [76 - 60.7 mgal]. As seen in Figure A3.8, this difference in gravity is equivalent to an overburden thickness change of between 365 to 521 meters, depending on the density contrast chosen. The total alluvial thickness beneath Ocean Boulevard at Kingston Harbor is estimated to be between 548 to 704 meters [Campion College depth + calculated depth change]

Gravity/depth observations at Kings House (station W001, 72.56 mgal/131.2 m) and Constant Spring Golf Course (station CSPR, 81.35 mgal/62.4 m) yield similar total thickness estimates at Kingston Harbor (414 to 535 m and 555 to 766 m, respectively).

Figure A3.8 Variation in gravity as a function of thickness for geologic conditions appropriate to the Kingston Metropolitan area. Solid lines bracket observed differences in gravity and resultant variations in overburden thickness.

Conclusions

The gravity survey conducted in June 1998 provided the first detailed data set of observed Bouguer anomaly values from the Liguanea Plain. Two-dimensional models generated from the Bouguer anomalies are inconclusive, but they give an estimated alluvium thickness of less than 100 m in the north portion of the survey area, thickening to approximately 500-600 m near Kingston Harbor. From east to west, there is little change in the thickness of the unit, approximately 300-400 m. Using the observed gradient in Bouguer anomaly values, the maximum thickness of the alluvium is estimated to be between 500 and 700 m based on a simplified overburden calculation.

Suggestions for further study

Table A3.1: Gravity station data from east-west and north-south transects. Terrain correction was computed using a three-second terrain database by the method of FFT (i.e, integration out to 0.5 degree). *Reading for NS08 in the north-south transect is copied from EW15.

Station Name

Latitude

Longitude

Elev.
(m)

Observed Gravity
(mgal)

Std. Dev.

Free-Air Anomaly
(mgal)

Bouguer Anomaly (2.67 g cm-3)
(mgal)

Bouguer Anomaly
(2.0 g cm-3)
(mgal)

Terrain Correction
(mgal)

Adjusted Bouguer Anomaly
(mgal)

EW01

18.01542

76.74275

216.947

978555.964

0.036

97.055

72.768

78.863

3.366

82.229

EW02

18.01594

76.74561

208.465

978557.061

0.037

95.507

72.170

78.026

2.946

80.972

EW03

18.01633

76.74861

200.568

978558.551

0.038

94.540

72.087

77.721

2.660

80.381

EW04

18.01686

76.75158

191.734

978559.701

0.037

92.935

71.471

76.857

2.494

79.351

EW05

18.01742

76.75447

181.324

978561.138

0.036

91.130

70.831

75.925

2.363

78.288

EW06

18.01808

76.75769

173.093

978563.078

0.036

90.495

71.118

75.980

2.394

78.374

EW07

18.01869

76.75922

161.399

978564.793

0.035

88.569

70.501

75.035

2.440

77.475

EW07A

18.01956

76.76561

149.636

978567.485

0.035

87.574

70.833

75.036

2.241

77.277

EW08

18.02042

76.76844

138.479

978569.396

0.034

86.007

70.505

74.395

2.140

76.535

CAMP

18.01908

76.76964

133.218

978570.056

0.027

85.115

70.202

73.944

2.062

76.006

EW09

18.02089

76.77222

133.734

978570.838

0.034

85.959

70.988

74.745

2.030

76.775

EW10

18.02183

76.77694

125.072

978570.575

0.034

82.973

68.972

72.485

1.968

74.453

EW11

18.02231

76.78019

115.820

978570.935

0.030

80.452

69.926

72.568

1.923

74.491

EW12

18.02328

76.78508

104.867

978572.256

0.032

78.342

66.602

69.548

1.839

71.387

W001

18.01994

76.78147

117.500

978570.527

0.032

80.689

67.535

70.836

1.724

72.560

EW13

18.02386

76.78939

95.061

978574.624

0.031

77.653

67.011

69.682

1.761

71.443

EW14

18.02417

76.79444

82.985

978575.704

0.030

74.989

65.699

68.030

1.603

69.633

EW15*

18.02472

76.79617

83.067

978575.837

0.026

75.119

65.820

68.153

1.576

69.729

EW16

18.02531

76.80019

74.336

978577.304

0.030

73.859

65.537

67.625

1.500

69.125

EW17

18.02639

76.80400

70.988

978578.265

0.030

73.730

65.783

67.777

1.475

69.252

EW18

18.02697

76.80731

65.875

978579.532

0.030

73.388

66.013

67.864

1.465

69.329

EW19

18.02686

76.81122

58.487

978581.055

0.034

72.637

66.090

67.732

1.438

69.170

EW20

18.02833

76.81378

55.084

978581.883

0.034

72.336

66.169

67.717

1.458

69.175

EW21

18.02597

76.81786

46.513

978582.429

0.033

70.362

65.155

66.462

1.386

67.848

EW22

18.02522

76.82153

41.384

978582.496

0.033

68.886

64.253

65.416

1.377

66.793

EW23

18.02542

76.82631

32.519

978583.709

0.033

67.353

63.713

64.626

1.431

66.057

EW24

18.02564

76.83103

24.964

978585.090

0.034

66.390

63.595

64.297

1.519

65.816

EW25

18.02578

76.82444

19.872

978585.928

0.034

65.649

63.424

63.983

1.580

65.563

NS25

17.96389

76.79456

0.386

978583.030

0.024

60.017

59.974

59.985

0.753

60.738

NS24

17.96625

76.79494

0.294

978583.294

0.024

60.128

60.095

60.103

0.771

60.874

NS23

17.97067

76.79350

9.482

978582.603

0.024

62.038

60.976

61.243

0.823

62.066

NS22

17.97403

76.79311

14.638

978581.984

0.024

62.832

61.193

61.604

0.858

62.462

NS21

17.97739

76.79378

23.304

978581.098

0.024

64.444

61.835

62.490

0.878

63.368

NS20

17.98125

76.79294

34.248

978579.963

0.024

66.482

62.648

63.610

0.921

64.531

NS19

17.98467

76.79239

38.907

978579.697

0.024

67.473

63.117

64.210

0.970

65.180

NS18

17.98781

76.79461

44.058

978579.136

0.025

68.335

63.403

64.640

0.982

65.622

NS17

17.99211

76.79397

48.611

978578.470

0.020

68.846

63.404

64.770

1.040

65.810

NS16

17.99756

76.79436

60.284

978576.578

0.023

70.268

63.519

65.213

1.109

66.322

NS15

18.00139

76.79539

64.735

978576.146

0.022

70.123

62.876

64.695

1.410

66.105

NS14

18.00425

76.79486

69.989

978575.412

0.021

71.744

63.909

65.875

1.187

67.062

NS13

18.00767

76.79600

74.567

978575.034

0.014

72.597

64.249

66.344

1.219

67.563

NS12

18.01033

76.79761

71.056

978575.349

0.022

71.687

63.732

65.729

1.245

66.974

NS11

18.01417

76.79769

73.674

978575.792

0.026

72.734

64.486

66.556

1.306

67.862

NS10

18.01792

76.79636

76.357

978575.262

0.026

72.834

64.286

66.431

1.390

67.821

NS09

18.02103

76.79642

80.542

978575.656

0.026

74.354

65.338

67.600

1.471

69.071

NS08*

18.02472

76.79617

83.067

978575.837

0.026

75.119

65.820

68.153

1.576

69.729

NS07

18.02842

76.79608

90.633

978575.191

0.026

76.611

66.465

69.011

1.632

70.643

NS06

18.03358

76.79586

107.350

978574.622

0.026

80.917

65.816

69.606

1.729

71.330

NS05

18.03814

76.79469

121.923

978574.945

0.026

85.506

71.875

75.282

1.886

77.168

NS04

18.04081

76.79481

134.324

978574.455

0.026

88.701

73.664

77.437

1.993

79.430

NS03

18.04347

76.79411

138.780

978573.919

0.026

89.399

73.863

77.761

2.060

79.821

CSPR

18.04906

76.79219

149.925

978572.984

0.026

91.607

74.823

79.035

2.314

81.349

NS02

18.04819

76.79428

140.860

978574.396

0.027

90.267

74.498

78.455

2.190

80.645

NS01

18.05100

76.79344

150.154

978573.198

0.027

91.788

74.979

79.197

2.382

81.579

PIER_H

17.96350

76.78967

2.000

978583.325

0.009

60.831

60.607

60.663

0.806

61.469

PIER_3

17.96167

76.78083

2.200

978582.845

0.009

60.509

60.263

60.324

0.891

61.215


Chapter 1 Chapter 2 Chapter 3 Chapter 4 Chapter 5
Bibliography Appendix 1 Appendix 2 Appendix 3

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