Title | Hydraulic and Geomorphic Monitoring of Experimental Bridge Scour Mitigation at Selected Bridges in Utah, 2003-05 |
Creator | Kenney, Terry A. |
Subject | Hydrology |
Spatial Coverage | Utah |
OCR Text | Show Unique bridge scour mitigation designs using concrete A-Jacks were developed by the Utah Department of Transportation and installed at the Colorado River Bridge at State Road 191 and the Green River Bridge at State Road 19. The U.S. Geological Survey monitored stream reaches at these sites by collecting streambed-topography and water-velocity data from 2003 through 2005. These data were acquired annually from a moving boat with an acoustic Doppler current profiler and a differential global positioning system. Raw unordered data were processed and readied for interpolation into organized datasets with DopplerMacros, a set of computer programs. Processed streambed topography data were geostatistically interpolated by using Ordinary Kriging, and inverse distance weighting interpolation was used in the development of the two-dimensional velocity datasets. These organized datasets of topography and velocity were developed for each survey of the two bridge sites. A comparison of the riverbed topography data for each survey was done. An increase in bed elevation related to the installation of the A-Jacks scour countermeasures is evident at the Colorado River Bridge at State Road 191. The three topographic datasets acquired after the installation at the Green River Bridge at State Road 19 show few changes.Scientific Investigations Report 2006- 5033 Hydraulic and Geomorphic Monitoring of Experimental Bridge Scour Mitigation at Selected Bridges in Utah, 2003- 05 U. S. Department of the Interior U. S. Geological Survey Prepared in cooperation with the UTAH DEPARTMENT OF TRANSPORTATION Cover: Top left, Upstream view of Colorado River Bridge at State Road 191, May 2005 ( Photograph by T. A. Kenney). Bottom right, Upstream view of Green River Bridge at State Road 19, May 2003 ( Photograph by T. A. Kenney). Hydraulic and Geomorphic Monitoring of Experimental Bridge Scour Mitigation at Selected Bridges in Utah, 2003- 05 By Terry A. Kenney and Tim S. McKinney Scientific Investigations Report 2006- 5033 U. S. Department of the Interior U. S. Geological Survey Prepared in cooperation with the UTAH DEPARTMENT OF TRANSPORTATION U. S. Department of the Interior Gale A. Norton, Secretary U. S. Geological Survey P. Patrick Leahy, Acting Director Salt Lake City, 2006 For additional information write to: U. S. Geological Survey Director, USGS Utah Water Science Center 2329 W. Orton Circle Salt Lake City, UT 84119- 2047 Email: GS- W- UTpublic- info@ usgs. gov URL: http:// ut. water. usgs. gov/ For more information about the USGS and its products: Telephone: 1- 888- ASK- USGS World Wide Web: http:// www. usgs. gov/ Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U. S. Government Although this report is in the public domain, permission must be secured from the individual copyright owners to reproduce any copyrighted materials contained within this report. Scientific Investigations Report 2006- 5033 iii Contents Abstract....................................................................................................................... .................................... 1 Introduction................................................................................................................... .................................. 1 Purpose and Scope ............................................................................................................................... 1 Site Description.................................................................................................................... ................. 2 Fluvial Setting ............................................................................................................................... 2 Colorado River Bridge at State Road 191.................................................................................. 3 Green River Bridge at State Road 19......................................................................................... 3 Methods........................................................................................................................ ................................... 9 Data Acquisition ............................................................................................................................... .... 9 Data Processing..................................................................................................................... ............... 9 Dataset Development.................................................................................................................... ..... 10 Streambed- Topography Dataset .............................................................................................. 11 Water- Velocity Dataset.............................................................................................................. 11 Analysis of the Mitigation Efforts .............................................................................................................. 11 Summary........................................................................................................................ ................................ 15 References Cited.......................................................................................................................... ................ 15 Figures Figure 1. Location of Colorado River Bridge at State Road 191 and the Green River Bridge at State Road 19 study areas, Utah..................................................................................................... 2 Figure 2. ( A) Single A- Jack, ( B) A- Jacks module installed at Green River Bridge at State Road 19), and ( C) a portion of the A- Jacks matrix at Green River Bridge at State Road 19 during low flow conditions, October 2003 ....................................................................................... 3 Figure 3. Schematic design for A- Jacks scour countermeasures for the Colorado River Bridge at State Road 191............................................................................................................................ .. 4 Figure 4. Schematic design for A- Jacks scour countermeasures for the Green River Bridge at State Road 19............................................................................................................................. ... 5 Figure 5. ( A) Colorado River inlet to Moab Valley, Utah, 1905. Note lack of tamarisk presence; ( B) Colorado River inlet to Moab Valley, Utah, 1998. Photograph modified to show Tamarisk presence along river banks ........................................................................................... 6 Figure 7. Downstream view of the Colorado River Bridge at State Road 191, 2005 ............................... 7 Figure 6. Construction of the Colorado River Bridge at State Road 191, mid 1950s ............................... 7 Figure 8. Arial photograph of Green River Bridge at State Road 19, 2004................................................ 8 Figure 9. Schematic of how a unique location is assigned to discreet depths measured by each acoustic Doppler current profiler beam...................................................................................... 10 Figure 10. Three- dimensional simulated view of Colorado River Bridge at State Road 191 developed from interpolated elevation dataset of 2005 combined with a digital elevation model ............................................................................................................................... 12 Figure 11. Plan views of interpolated elevation datasets for Colorado River Bridge at State Road 191, 2003 to 2005........................................................................................................................... ... 13 Figure 12. Zoomed in plan views of interpolated elevation datasets for Green River Bridge at State Road 19, 2003- 05.................................................................................................................... 14 iv Tables Table 1. Water- surface elevations and discharges observed during each bridge survey ........................ 9 Conversion Factors and Datums Multiply By To obtain foot ( ft) 0.3048 meter ( m) square mile ( mi2) 2.590 square kilometer ( km2) foot per second ( ft/ s) 0.3048 meter per second ( m/ s) cubic foot per second ( ft3/ s) 0.02832 cubic meter per second ( m3/ s) Horizontal coordinate information is referenced to the North American Datum of 1983 ( NAD 83). Vertical coordinate information is referenced to the North American Vertical Datum of 1988 ( NAVD 1988). Appendixes Appendix A. Unorganized streambed- topography datasets ......................................................................... 16 Appendix B. Unorganized vertically averaged water- velocity vector datasets......................................... 16 Appendix C. Organized interpolated streambed- topography datasets ....................................................... 16 Appendix D. Organized interpolated water- velocity vector datasets.......................................................... 16 Abstract Unique bridge scour mitigation designs using concrete A- Jacks were developed by the Utah Department of Transpor-tation and installed at the Colorado River Bridge at State Road 191 and the Green River Bridge at State Road 19. The U. S. Geological Survey monitored stream reaches at these sites by collecting streambed- topography and water- velocity data from 2003 through 2005. These data were acquired annually from a moving boat with an acoustic Doppler current profiler and a differential global positioning system. Raw unordered data were processed and readied for interpolation into organized datasets with DopplerMacros, a set of computer programs. Processed streambed topography data were geostatistically interpolated by using Ordinary Kriging, and inverse distance weighting interpolation was used in the development of the two- dimensional velocity datasets. These organized datasets of topography and velocity were developed for each survey of the two bridge sites. A comparison of the riverbed topography data for each survey was done. An increase in bed elevation related to the installation of the A- Jacks scour countermea-sures is evident at the Colorado River Bridge at State Road 191. The three topographic datasets acquired after the instal-lation at the Green River Bridge at State Road 19 show few changes. Introduction Studies done by the Utah Department of Transportation ( UDOT) determined that the Colorado River Bridge at State Road 191 and the Green River Bridge at State Road 19 ( fig. 1) are scour critical. Both bridges span highly mobile gravel-bed rivers dominated by snowmelt- runoff discharge events. Mitigating the scour problems at each of these sites in both an environmental and cost- effective manner is a priority of UDOT. UDOT engineers designed plans using concrete A- Jacks scour countermeasures for the scour- susceptible areas of the two bridges. In the UDOT design, 36 single A- Jacks struc-tures are banded together to form modules that are placed in a matrix on the streambed ( fig. 2). The design of these modules has three benefits: they armor the streambed, they dissipate energy near the substrate around the piers, and they promote sediment deposition onto and between the A- Jacks modules. Conceptually, this design is self- propagating because it inhib-its scour while increasing its armoring capabilities ( Michael Fazio and Denis Stuhff, Utah Department of Transportation, oral commun., 2003). The UDOT designs are unique and experimental for several reasons. At the Colorado River Bridge, two different matrices were installed concentrically around two piers ( fig. 3). Deployment of the modules at the Green River Bridge at State Road 19 is such that a single matrix occupies the entire area from the right abutment past the right- most bridge pier ( fig. 4). At this site, no geo- tech fabric is installed underneath the modules. Installations at both sites were made with only minor channel- bed modifications. Installation of the A- Jacks scour countermeasures was completed in February 2003 at the Green River Bridge, and March 2004 at the Colorado River Bridge. Case studies on these types of deployments in steep, mobile gravel- bed river environments have not been done before this study. The U. S. Geological Survey ( USGS), in cooperation with UDOT, monitored streambed elevations and water velocities associated with the A- Jacks deployments at the Colorado River Bridge at State Road 191, and the Green River Bridge at State Road 19, from 2003 through 2005. Purpose and Scope This report documents the method and technologies used in monitoring the unique deployment of the A- Jacks bridge scour countermeasures at the Colorado River Bridge at State Road 191, and the Green River Bridge at State Road 19. The techniques used in acquiring the hydraulic and geomorphic data are outlined. This report describes how the raw data were processed and then interpolated into organized datasets of streambed elevation and vertically averaged water- velocity vectors. This report is not a direct assessment of the bridge scour mitigation at these sites in Utah. The data presented here represent an initial baseline condition of the deployed A- Jacks that can be used as part of a future evaluation of their performance. These data should provide valuable insight for future monitoring and hydraulic modeling, and help guide future installations. Hydraulic and Geomorphic Monitoring of Experimental Bridge Scour Mitigation at Selected Bridges in Utah, 2003- 05 By Terry A. Kenney and Tim S. McKinney 0 0 0.5 1 MILE 0.5 1 KILOMETER Colorado River Bridge Green River Bridge 110 degrees 09' 10" 110 degrees 08' 05" 109 degrees 35' 33" 109 degrees 33' 55" Colorado River UTAH Great Salt Lake Green River 38 degrees 59' 60" 38 degrees 36' 45" 38 degrees 36' 45" 38 degrees 35' 55" Figure 1. Location of Colorado River Bridge at State Road 191 and the Green River Bridge at State Road 19 study areas, Utah. Site Description Fluvial Setting The Colorado and Green Rivers in Utah are snowmelt dominated systems with annual peak discharges typically occurring in late spring. These flow events generally begin in May, peak in the beginning of June, and recede to baseflow conditions by July. Bridge structures located within these types of fluvial environments experience sustained large mag-nitude flows. Both the Colorado River Bridge at State Road 191 and the Green River Bridge at State Road 19 were constructed in the middle part of the 20th century. This same time period is associated with the commencement of extensive flow regula-tion and the proliferation of tamarisk ( Tamarix chinensis) throughout the upper Colorado and Green River drainage basins. Although first introduced to the region in the 1800s, around 1940 the invasive riparian shrub, tamarisk, appeared along the Colorado River near Moab, Utah, and the Green River near Green River, Utah. The spread of tamarisk throughout the Colorado Plateau has lead to the most dramatic change in the fluvial landscape during the past century ( Graf, 1978). By densely colonizing much of the riverbanks and many channel islands, tamarisk has stabilized channel margins by anchoring the soil and dissipating water- velocity energy. This stabilization together with flow regulation has caused his-torically wide, shallow rivers to narrow and become incised. This change is apparent in repeat photography of Moab Valley taken in 1905 and 1998 ( fig. 5). Evidence of this type of chan-nel evolution, which is associated with some of the scour prob-lems being mitigated, can be seen at both bridges. 2 Hydraulic and Geomorphic Monitoring of Experimental Bridge Scour Mitigation at Selected Bridges in Utah, 2003- 05 Figure 2. ( A) Single A- Jack ( Photograph by T. A. Kenney), ( B) A- Jacks module installed at Green River Bridge at State Road 19 ( Photograph by T. L. Ularich), and ( C) a portion of the A- Jacks matrix at Green River Bridge at State Road 19 during low flow conditions, October 2003 ( Photograph by T. L. Ularich). Colorado River Bridge at State Road 191 The Colorado River drains more than 24,500 mi2 of Utah and Colorado upstream from State Road 191. Upstream from the bridge, the Colorado River is confined laterally by large consolidated sedimentary deposits of Jurrassic and Creta-ceous age common to the Colorado Plateau ( Pitlick and Cress, 2002). The bridge at State Road 191 is located at the entrance to Moab Valley, Utah, one of the few locations within the Colorado Plateau where the river is not confined laterally by bedrock. The average river slope near the bridge is 0.0002 ft/ ft, and bed materials range from coarse gravels to silts. Average annual peak discharge at USGS streamflow- gaging station 09180500, Colorado River near Cisco, Utah, for the 86- year period of record is 36,300 ft3/ s. Since 1950, about the beginning of upstream flow regulation, average annual peak discharge is 29,400 ft3/ s ( Kenney, 2005). Nearly all discharges at the Colorado River Bridge at State Road 191 are currently conveyed through only four of the eight spans of the bridge, which has in part lead to the scour identified by UDOT at pier numbers 6 and 7. An historical photograph taken at low flow conditions during the construction of the Colorado River Bridge at State Road 191 shows evidence that recent streamflow, likely the spring run-off, occupied the left side of the river channel at pier numbers 3, 4, and 5 ( fig. 6). Note the lack of tamarisk on the left bank of the river near the bridge. Tamarisk can be seen in this same area in a photo taken in 2005 ( fig. 7). Green River Bridge at State Road 19 The contributing drainage basin of the Green River above State Road 19 is roughly 41,000 mi2. The Green River near Green River, Utah, occupies a shale and sandstone dominated alluvial plateau. Average river slope at the State Road 19 Bridge is 0.0004 ft/ ft and bed materials consist of moderately sized gravels, sands, and silts. Average annual peak discharge at USGS streamflow- gaging station 09315000, Green River at Green River, Utah, for the 104- year period of record is 28,400 ft3/ s. Since 1962, when Flaming Gorge Reservoir was com-pleted, average annual peak discharge is 22,000 ft3/ s. The stabilization by tamarisk of a prominent mid- channel island upstream of the Green River Bridge at State Road 19 has lead to an uneven distribution of streamflow through the seven bridge spans. Sediment deposition on the downstream side of the island has propagated through the reach containing the bridge ( fig. 8). Flow has become incised and concentrated on the right edge of the river through the two bridge spans separated by pier number 8. Introduction 3 Figure 3. Schematic design for A- Jacks scour countermeasures for the Colorado River Bridge at State Road 191. Pier No. 5 Pier No. 6 Elevation Pier No. 7 Pier No. 8 ( Looking downstream) Pier No. 6 Pier No. 5 Pier No. 8 Flow Flow Pier No. 7 Typical banded module 36 A- Jacks units per module Location of A- Jacks modules is approximate Fill with 1.3- foot- thick loose riprap Non- woven filter fabric River bottom Plan Non- woven filter fabric River bottom A- Jacks modules 1.3- foot- thick riprap Abutment face 9- inch maximum gap Clean gravel A- Jacks modules Non- woven filter fabric River bottom A- Jacks modules placement tollerance 1.3 Feet 3/ 8- inch stainless steel banding cable 61/ 2 feet Approximate 61/ 2 feet Approximate 4 Hydraulic and Geomorphic Monitoring of Experimental Bridge Scour Mitigation at Selected Bridges in Utah, 2003- 05 Figure 4. Schematic design for A- Jacks scour countermeasures for the Green River Bridge at State Road 19. C C' Plan 1.3- foot- thick loose riprap required A- Jacks module Outline of abutment footing 1.3- foot- thick loose riprap required Pier No. 8 9- inch maximum gap Clean gravel A- Jacks modules River bottom A- Jacks modules placement tollerance River bottom Section C- C' A- Jacks modules 1.3- foot- thick Riprap Abutment face Abutment No. 9 Location of A- Jacks modules is approximate A A' A A' Typical banded module 36 A- Jacks units per module 3/ 8- inch stainless steel banding cable 61/ 2 feet Approximate 61/ 2 feet Approximate Seal pier by filling spaces between modules and pier with gravel Channel bottom ( elevation varies) Channel bottom ( elevation varies) Front face of abutment Water surface ( elevation varies) A- Jacks modules Pier No. 8 Section A- A' Abutment No. 9 ( looking downstream) Pier No. 8 Section B- B' Water surface ( elevation varies) Channel bottom ( elevation varies) Flow Abutment No. 9 Pier No. 8 Location Plan Green River Bridge Flow A- Jacks modules Flow Extent of A- Jacks modules Introduction 5 A B Figure 5. ( A) Colorado River inlet to Moab Valley, Utah, 1905. Note lack of tamarisk presence ( Photograph by C. C. Whitman); ( B) Colo-rado River inlet to Moab Valley, Utah, 1998. Photo modified to show Tamarisk presence along river banks ( Modified from Kenney, 2005). 6 Hydraulic and Geomorphic Monitoring of Experimental Bridge Scour Mitigation at Selected Bridges in Utah, 2003- 05 Figure 6. Construction of the Colorado River Bridge at State Road 191, mid 1950s. ( Photograph by D. E. Byrd, courtesy of Moab Times- Independent) Figure 7. Downstream view of the Colorado River Bridge at State Road 191, 2005. ( Photograph by T. A. Kenney) Flow Pier 4 Pier 5 Pier 6 Pier 7 Pier 8 Introduction 7 Flow Figure 8. Arial photograph of Green River Bridge at State Road 19, 2004. Sediment deposition on the downstream end of channel bar extending through the bridge can be seen. 8 Hydraulic and Geomorphic Monitoring of Experimental Bridge Scour Mitigation at Selected Bridges in Utah, 2003- 05 Methods Data Acquisition Data- collection surveys were done during the spring snowmelt runoff period at the Colorado River Bridge and the Green River Bridge from 2003 through 2005. Discharges and water- surface elevations measured during the surveys, along with the annual peak discharge recorded at the nearest USGS streamflow- gaging stations; 09180500 Colorado River near Cisco, Utah, and 09315000 Green River at Green River, Utah, are contained in table 1. A unique method coupled with advanced technology was used to comprehensively monitor the performance of the scour mitigation designs at the selected bridges in Utah. Data most critical to an assessment of the scour countermeasures includes channel geometry and water velocities at varying discharges. By using an acoustic Doppler current profiler ( ADCP) inter-faced with a differential global positioning system ( DGPS) deployed from a moving boat, velocities and depths were simultaneously collected and spatially registered throughout each study reach. The ADCP used has four acoustic transducers each oriented 20 degrees from the center of the ADCP. Each of these beams measures total water depth and a specified veloc-ity component throughout most of the water column. With the orientation of the acoustic beams, the depths measured by the ADCP are accepted to be accurate to within 1 percent of the true depth ( R. D. Instruments, oral commun., 2003). The DGPS is mounted directly above the ADCP, logging its center position. ADCPs measure water velocities by using the principle of the Doppler Effect. Velocities are resolved by computing the shift in frequency of sound waves returned by moving particles within the water column. By employ-ing this principle and collecting data with multiple acoustic beams, ADCPs are capable of measuring three- dimensional water velocities throughout most of the water column. Due to limitations associated with acoustic technology such as the required submergence of the transducers, transducer noise, and acoustic side lobe interference, small portions of water column near the water surface and close to the channel bed are unable to be sampled. The ADCP has an internal compass, which, when properly calibrated and assigned the proper magnetic variation/ declination, allows velocity vector components to be collected in a true world coordinate system. For an in- depth discussion on the technical operation of ADCPs refer to Simp-son ( 2001). For this study, measured water velocities were calculated by using the bottom track feature of the ADCP. This feature operates under the assumption that the channel bed is station-ary. Bottom tracking treats any shift in frequency associated with the streambed to the velocity of the ADCP, often termed the boat velocity. In the presence of a moving bed in the streamwise direction, measured water velocities are negatively biased. Use of a DGPS to obtain the boat velocity can allevi-ate this bias. However, due to the corruption of DGPS signals near structures, such as bridges, and the processing software used, water- velocity data presented in this report were com-puted by using bottom tracking and as a result may be less than the true water velocity by a factor equal to the streamwise bed velocity. Comparable DGPS and bottom- tracking data acquired at the Colorado River bridge in 2005 indicates that the true water velocity at a discharge of 28,000 ft3/ s may be as much as 0.40 ft/ s greater than that presented in this report. Data from the largest observed discharge at the Green River Bridge, 27,000 ft3/ s, indicates that the true water velocity may be as much as 0.30 ft/ s greater than that presented in this report. The DGPS was used to spatially register all measured depths and velocities. Corrupted location DGPS data was manually adjusted using the logged bottom- tracking vector coordinates. A digital data- collection grid was developed for each bridge site and utilized for the 2004 and 2005 data- collection surveys. This grid was navigated in realtime using a handheld GPS interfaced with a personal digital assistant ( PDA). Data Processing Field data acquired with the ADCP is unordered, in that it is comprised of velocities and depths that are collected wher-ever the boat is driven. Raw data from the channel surveys were exported from the data- collection software in an ASCII Table 1. Water- surface elevations and discharges observed during each bridge survey Date Water-surface elevation at bridge ( feet) Discharge ( cubic feet per second) Annual peak discharge at USGS stream-flow- gaging station ( cubic feet per second) Green River Bridge at State Road 191 June 12, 2003 76.84 9,240 322,300 May 18, 2004 76.73 8,850 311,900 May 24, 2005 80.70 27,000 334,500 Colorado River Bridge at State Road 1912 June 13, 2003 3,954.35 9,100 427,500 May 20, 2004 3,952.78 6,000 410,600 May 23, 2005 3,962.12 28,000 440,200 1Water- surface elevation at Green River Bridge at State Road 19 referenced to arbitrary vertical datum of 100 feet assigned to top of bridge deck barrier. 2 Water- surface elevation at Colorado River Bridge at State Road 191 referenced to surveyed bridge deck elevation of 3,984.37 feet. 3 USGS Streafmow- gaging station 09315000 Green River at Green River, Utah. 4USGS Streamflow- gaging station 09180500 Colorado River near Cisco, Utah. Methods 9 format and processed with DopplerMacros, a series of Visual Basic Macros ( Microsoft Corporation, Redmond, Wash., writ-ten commun., 2000) developed by Dinehart ( 2003). These macros perform a number of tasks to ready the data for display and/ or interpolation. Positional data collected by the DGPS is defined in the geographic coordinate system ( GCS) angular measures of degrees of longitude and latitude referenced to the World Geodetic Coordinate System of 1984 ( WGS 84). Doppler- Macros prepares these geographic data for conversion into Universal Trans- Mercator ( UTM), North American Datum of 1983 ( NAD 83), Zone 12 system by Corpscon ( version 6.0.1, U. S. Army Corps of Engineers, written commun., 2004). Fol-lowing conversion, these data are then re- inserted into the data files by DopplerMacros. The macros separate the discreet depths measured by each of the ADCP's four beams. DopplerMacros computes the horizontal offset from the logged ADCP position by solv-ing the trigonometric relation associated with the 20- degree-from- center beam and the measured depth. This offset is then added to the logged horizontal position, in proper relation to the internal compass reading of the ADCP, and a unique loca-tion of each measured depth is assigned ( fig. 9). The com-puter programs subtract the measured depths from user input water- surface elevations, changing the dataset from depths below water surface to streambed elevations. A single water-surface elevation, measured at each bridge structure, was input for each of the surveys conducted. Water- surface elevations at the Green River Bridge at State Road 19 were referenced to an arbitrary vertical datum of 100 feet assigned to the top of the bridge deck barrier, and water- surface elevations at the Colorado River Bridge at State Road 191 were referenced to a surveyed bridge deck elevation of 3,984.37 feet. The pro-cessed streambed elevation datasets are contained in appendix A; however, the river slope is not represented in this dataset. From the raw data files, DopplerMacros extracts the true world water velocity- vector components and assigns them to the geographic position of the ADCP. To meet the objective of developing a two- dimensional dataset of water- velocity vectors, the measured three- dimensional velocity vectors were vertically averaged. The vertically averaged velocity vector datasets for each survey are contained in appendix B. Dataset Development The primary objectives of this study were the develop-ment of organized datasets representing the topography of the riverbed, and the two- dimensional distribution of water veloci-ties observed during each survey. To achieve these objec-tives, the processed data were interpolated by using different methods and computer software. The procedures used in the development of the interpolated datasets are outlined below. Collected position DGPS Computed horizontal position Measured depth 20 degrees Acoustic beam ADCP Figure 9. Schematic of how a unique location is assigned to dis-creet depths measured by each acoustic Doppler current profiler beam. 10 Hydraulic and Geomorphic Monitoring of Experimental Bridge Scour Mitigation at Selected Bridges in Utah, 2003- 05 Streambed- Topography Dataset Processed elevation values were imported into a Geo-graphic Information System ( GIS) and geostatistically inter-polated to create continuous surfaces. Geostatistical interpola-tion uses both mathematics and statistics to create a predicted surface from sampled locations and provides a measure of uncertainty for that surface. Comparisons of error or uncer-tainty from differing geostatistical interpolation techniques allows for an investigation of the best representation of the sampled data ( Johnston and others, 2001). For this investigation, Ordinary Kriging ( OK), a geo-statistical interpolation technique, was chosen. Kriging is a rigorous approach that uses the arrangement, correlation, and distance between observed data points to determine weighting. Kriging uses the semivariogram to explain the spatial autocor-relation of the sampled phenomenon. OK is modeled with spherical, circular, exponential, Gaussian, or linear functions to fit a curve of least- squares to the variance in the semivario-gram and is best suited for data with no trend ( Johnston and others, 2001). To prepare the data for interpolation, a spreadsheet of sampled easting, northing, and elevation values was saved to dbase IV file format and imported to ArcGIS ( version 9, Environmental Systems Research Institute ( ESRI), San Diego, Calif., written commun., 2004). Once in ArcGIS, the data were converted to an ESRI shapefile and added to Geosta-tistical Analyst, an ESRI extension. OK parameters were defined and a predicted streambed surface was created. This predicted surface was saved to a grid of continuous regular 1- meter cells of elevation values. In using a single referenced water- surface elevation in the processing of the raw data, slope transformations had to be done on each predicted surface to best model the river topographic surface. The river slope at each bridge, assumed equal to the surveyed water- surface slope, was applied to the raster srufaces in in MayAlgebra ( McCoy and others, 2001). The river slope and streamwise distance of each elevation point from the single referenced water- surface elevation determined the amount of adjustment made. Elevation points upstream were increased, and those downstream were decreased. The slope- corrected riverbed surface was re- sampled to 2- meter cell resolution and easting, northing, and elevation values for each cell were exported. A three- dimensional simulated view of the topographic dataset from 2005 at the Colorado River Bridge is shown in figure 10. The organized, interpolated streambed- topography datasets for each survey are contained in appendix C. Water- Velocity Dataset The spatially registered, vertically averaged water- veloc-ity vectors were imported into the graphical software Tecplot ( version 10.0, Amtec Engineering Inc., Bellevue, Wash., written commun., 2003). To more accurately interpolate water velocities near the channel margins, the streambanks were delineated from recent aerial photographs and the geographic coordinates of the streambanks were assigned velocity vec-tor components of 0 ft/ s. These streambank data also were imported into Tecplot. Rectangular grids were defined for the Colorado and Green River Bridge study reaches of 2,400 and 2,500 nodes, respectively. An inverse distance interpolation algorithm, which considered the nearest 24 points, was applied to the processed vertically averaged water velocity vectors, and the delineated streambanks. The 24 nearest points were selected by using a coordinate system octant method to ensure that the points used in computing an interpolated value were distributed as evenly as possible. The organized interpolated water- velocity vector datasets for each survey are available in appendix D. Interpolated values were generated at each of the nodes defined by the rectangular grids for each survey. This method of interpolation may have caused some velocity values to be interpolated outside of the delineated streambanks. The coverage of measured velocities varies from survey to survey. Due to shallow water depths, large regions of some surveys lack velocity measurements, particularly those of the Green River in 2003 and 2004. These areas are visible in the pro-cessed vertically averaged velocity vector datasets of appendix B. Analysis of the Mitigation Efforts Although this report is not an assessment of the perfor-mance of the A- Jacks scour countermeasures or their deploy-ment designs, comparison of the acquired topographic datasets allows for some preliminary analysis of the mitigation efforts. Comparison of the velocity datasets was not done because data acquisition surveys at each bridge were conducted at different discharges. The topographic dataset acquired in 2003 at the Colorado River Bridge at State Road 191 represents the channel condi-tions prior to the installation of the A- Jacks scour counter-measures. Scour in the vicinity of the piers can be seen in the 2003 dataset. Following the A- Jacks installation in 2004, an increase in the channel- bed elevation near the bridge piers is evident ( fig. 11). The 2004 dataset represents conditions immediately following the installation of the A- Jacks prior to any morphologic adjustments caused by peak streamflows. The 2005 dataset was acquired following some larger river discharges. Monitoring at the Green River Bridge at State Road 19 began following the deployment of the A- Jacks. From the three datasets acquired, the topography near the Green River Bridge ( fig. 12) has changed little from 2003 to 2005. More specifically, the area near pier number 8, the location of the A-Jacks, appears to be at the same elevation in all three datasets. Analysis of the Mitigation Efforts 11 High: 3,957 Low: 3,939 EXPLANATION Interpolated Colorado riverbed elevations, in feet Vertical exaggeration is 1.5 Figure 10. Three- dimensional simulated view of Colorado River Bridge at State Road 191 developed from interpolated elevation dataset of 2005 combined with a digital elevation model. 12 Hydraulic and Geomorphic Monitoring of Experimental Bridge Scour Mitigation at Selected Bridges in Utah, 2003- 05 623700 623800 623900 624000 EASTING, IN METERS NORTHING, IN METERS 4273760 4273780 4273800 4273820 4273840 4273860 4273880 4273760 4273780 4273800 4273820 4273840 4273860 4273880 4273760 4273780 4273800 4273820 4273840 4273860 4273880 Elevation, in feet 3,952 3,951 3,950 3,949 3,948 3,947 3,946 3,945 3,944 3,943 3,942 3,941 3,940 Bridge pier EXPLANATION 2003 2004 2005 Flow Flow Flow Figure 11. Plan views of interpolated elevation datasets for Colorado River Bridge at State Road 191, 2003 to 2005. Analysis of the Mitigation Efforts 13 4316400 4316420 4316440 4316460 4316480 574140 574160 574180 574200 574220 574240 574260 574280 574300 4316400 4316420 4316440 4316460 4316480 4316400 4316420 4316440 4316460 4316480 EASTING, IN METERS Elevation, in feet 77 76 75 74 73 72 71 70 69 68 67 66 Bridge pier EXPLANATION 2005 NORTHING, IN METERS 2004 2003 Flow Flow Flow Figure 12. Zoomed in plan views of interpolated elevation datasets for Green River Bridge at State Road 19, 2003- 05. Bridge pier number 8 is the left- most pier in the figure. 14 Hydraulic and Geomorphic Monitoring of Experimental Bridge Scour Mitigation at Selected Bridges in Utah, 2003- 05 Summary The Utah Department of Transportation developed unique and experimental bridge scour mitigation designs using con-crete A- Jacks. These scour countermeasures were deployed at bridges that span highly mobile gravel- bed rivers dominated by snowmelt- runoff discharge events: the Colorado River Bridge at State Road 191 and the Green River Bridge at State Road 19. Because case studies on these types of deployments have not been done before, empirical hydraulic or geomor-phic data are lacking. The USGS in cooperation with UDOT monitored the scour countermeasures from 2003 through 2005 by using a unique method coupled with advanced technology. Topographic and velocity data were acquired from a moving boat with an ADCP and DGPS coinciding with the annual snowmelt runoff period. DopplerMacros, a set of computer programs, was used to process the unorganized raw datasets. Two methods of interpolation, Ordinary Kriging for the topo-graphic data and inverse distance for the velocity data, were used in the development of organized datasets. These datas-ets represent the initial hydraulic and geomorphic conditions of the study reaches following the installation of the scour countermeasures and should provide valuable information for future assessments of the mitigation strategy. Compari-sons of the interpolated riverbed topography at the Colorado River Bridge show an increase in bed elevation related to the A- Jacks installations. The riverbed topography at the Green River Bridge has remained stable since the installation of the scour countermeasures. Comparisons of the velocity datasets developed during the study were not made because the data acquisition surveys were made at different discharges. References Cited Dinehart, R. L 2003, Spatial analysis of ADCP data in streams, in Gray, J. R., ed., Proceedings of the Federal Interagency Sediment Monitoring Instrument and Analysis Research Workshop, September 9- 11, 2003, Flagstaff, Ariz.: U. S. Geological Survey Circular 1276, accessed August 5, 2005 at http:// water. usgs. gov/ osw/ techniques/ sediment/ sedsurro-gate2003workshop/ dinehart. pdf Graf, W. L., 1978, Fluvial adjustments to the spread of tama-risk in the Colorado Plateau region: Geological Society of America Bulletin, v. 89, p. 1491- 1501. Johnston, K., Ver Hoef, J. M., Krivoruchko, K., Lucas, N., 2001, Using ArcGIS Geostatistical Analyst: Redlands, Calif., Environmental Systems Research Institute, 300 p. Kenney, T. A., 2005, Initial- Phase Investigation of Multi- Dimensional Streamflow Simulations in the Colorado River, Moab Valley, Grand County, Utah, 2004: U. S. Geological Survey Scientific Investigations Report 2005- 5022, 69 p. McCoy, J., Johnston, K., Kopp, S., Borup, B., Willison, J., 2001, Using ArcGIS Spatial Analyst: Redlands, Calif., Environmental Systems Research Institute, 232 p. Pitlick, John, and Cress, Robert, 2002, Downstream changes in the channel geometry of a large gravel bed river: Water Resources Research, v. 38, no. 10, 12 p. Simpson, M. R., 2001, Discharge measurements using a broad-band acoustic Doppler current profiler: U. S. Geological Survey Open- File Report 01- 01, 123 p. References Cited 15 Appendixes Appendix directories contain text files of the named datasets. Appendix A. Unorganized streambed- topography datasets Appendix B. Unorganized vertically averaged water- velocity vector datasets Appendix C. Organized interpolated streambed- topography datasets Appendix D. Organized interpolated water- velocity vector datasets 16 Hydraulic and Geomorphic Monitoring of Experimental Bridge Scour Mitigation at Selected Bridges in Utah, 2003- 05 KENNEY and others- Hydraulic and Geomorphic Monitoring of Experimental Bridge Scour Mitigation at Selected Bridges in Utah, 2003- 05- SIR 2006- 5033 |
Publisher | United States Geological Survey |
Contributors | McKinney, Tim S. |
Date | 2007 |
Type | Text |
Format | application/pdf |
Resource Identifier | http://content.lib.utah.edu/cgi-bin/showfile.exe?CISOROOT=/wwdl-doc&CISOPTR=10126&filename=10126.pdf |
Language | eng |
Relation | Western Waters Digital Library |
ARK | ark:/87278/s6736q7t |
Setname | wwdl_documents |
ID | 1140011 |
Reference URL | https://collections.lib.utah.edu/ark:/87278/s6736q7t |