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Prepared in cooperation with the Miami-Dade Department of Environmental Resources Management
Correlation Analysis of a Ground-Water Level Monitoring Network, Miami-Dade County, Florida

By Scott T. Prinos

The topic is Coastal Erosion. Open-File Report 2004-1412
Abstract
Introduction
Description of Study Area
Previous Studies
Acknowledgments
Correlation Analysis of a Ground-Water Level Monitoring Network
Summary
References Cited
Appendixes I & II
image of Duval County, Florida

INTRODUCTION

Previous Studies

Except for the West Well Field monitoring network (Lizbeth Britt, Miami-Dade Department of Environmental Resource Management, written commun., 2003), reports of research that document the design of the continuous ground-water level monitoring network in Miami-Dade County are lacking. Throughout the 1939-2001 monitoring period, however, considerable analysis was undertaken on a case-by-case basis to add specific monitoring wells to the network that would meet the monitoring requirements of the county. These analyses were performed cooperatively by the USGS and the U.S. Army Corps of Engineers, Florida Keys Aqueduct Authority, Miami-Dade Department of Environmental Resources Management, South Florida Water Management District, and the Miami-Dade Water and Sewer Department. The continuous ground-water level monitoring network was designed to: (1) assess the effects of permitted ground-water withdrawals at municipal well fields, and aid in the evaluation of potential changes to water-supply permits; (2) provide areal coverage for periodic water-table contour maps of the county; (3) provide data for hydrologic modeling; (4) evaluate hydroperiod water levels in environmentally sensitive areas, and aid in restoring hydroperiod water levels; (5) evaluate seepage across levees and from canals; and (6) provide near real-time assessments of hydrologic conditions.

More recently, as part of a project to design the USGS cooperative real-time ground-water monitoring network, regression analyses were used to determine which wells provide data that could be used to estimate water levels at other wells in the Biscayne aquifer with a coefficient of determination (R2) from the regression of 0.64 or greater (Prinos and others, 2002). This study identified 8 potential index wells in Miami-Dade and Broward Counties that could be used to provide or estimate water levels for 72 of the 92 wells analyzed in the existing network. The average R2 value for this potential network was 0.81; however, the goal of this assessment was to determine which wells were most representative of the network-not to evaluate potential redundancy of data.

Next:


Figures: Click on a caption to view the figure.
Figure 1. Map showing location of continuous ground-water level monitoring network wells in Miami-Dade County, Florida.

Figure 2. Map showing water-supply and water-management systems in Miami-Dade County.

Figure 3. Maps showing lines of equal rainfall in Miami-Dade County during (a) Hurricane Irene on October 14-16, 1999, and an (b) unnamed storm on October 2-3, 2000.

Figure 4. Graphs showing seasonal variation in mean water levels and variation in monthly standard deviation of mean water levels for wells G-620, G-864, G-1183, and S-18.

Figure 5. Hydrograph showing variation in water levels at wells G-3 and G-1368A along with estimated average daily pumpage based on annual pumpage totals during water years 1974-2000.

Figure 6. Hydrograph showing variation in water level at well G-1502 during water years 1974-2000.

Figure 7. Map showing grouping of wells based on average correlation of water-level data during the wet season.

Figure 8. Map showing grouping of wells based on average correlation of water-level data during the dry season.

Figure 9. Map showing grouping of wells based on average correlation of water-level data during both the wet and dry seasons.

Figure 10. Map showing grouping of wells near the West Well Field based on average correlation of water-level data during both wet and dry seasons.

Figure 11. Graph showing temporal variation in seasonal correlation between water-level data from well G-1487 and that of well G-855 during water years 1974-2000.

Figure 12. Hydrographs showing water-level elevations from wells G-855 and G-1487 during the 1986 and 1998 water years.

Figure 13. Map showing grouping of wells near the Hialeah-Miami Springs Well Field based on average correlation of water-level data during both the wet and dry seasons.

Figure 14. Graph showing temporal variation in seasonal correlation between water-level data from well G-3466 and that of wells G-3465, S-19, and S-68 during water years 1988-2000.

Figure 15. Hydrographs showing water-level elevations from wells G-3465, G-3466, S-19, and S-68 during the 1990 and 1996 water years.

Figure 16. Hydrograph showing water-level elevations from wells G-3465, G-3466, S-19, and S-68 during water years 1988-99.

Figure 17. Graph showing temporal variation in seasonal correlation between censored and uncensored water-level data from well G-3466 and that of wells G-3465, S-19, and S-68 during water years 1988-2000.

Figure 18. Graph showing temporal variation in seasonal correlation between water level data from well G-1362 and that of well G-757A during water years 1974-2000.

Figure 19. Hydrograph showing water-level elevations from wells G-757A and G-1362 during the 1989 and 1997 water years.

Figure 20. Graph showing temporal variation in seasonal correlation between water-level data from well G-864 and that of well G-864A during water years 1974-2000.

Figure 21. Hydrograph showing water-level elevations from wells G-864 and G-864A during the 1990 and 2000 water years.


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