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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
Correlation Analysis of a Ground-Water Level Monitoring Network
Analytical Considerations
Spatial Relations
Seasonal Water-Level Variation
Temporal Changes in Correlation Between Monitoring Wells
Evaluating Correlation of Water-Level Data
Analysis Methodology
Analysis Results
Summary
References Cited
Appendixes I & II
image of Duval County, Florida

CORRELATION ANALYSIS OF A GROUND-WATER LEVEL MONITORING NETWORK

Analytical Considerations

Temporal Changes in Correlation Between Monitoring Wells

If temporal differences in water-level behavior are not considered in the correlation analysis, the analysis may provide results that are not representative of present aquifer conditions. Temporal changes in water-level behavior in the Biscayne aquifer have been caused by numerous factors, including: (1) extended droughts; (2) El Niño and La Niña events; (3) climate change; (4) well-field operation; (5) changes in canal operation; (6) installation of new water-supply wells, canals, levees, and water-control structures; (7) changing water-management practices; (8) land-use changes; and most recently, (9) bypassing existing levees or plugging existing canals. The extent of temporal variation in aquifer water levels can vary spatially because the natural and anthropogenic factors that cause temporal variation also are aerially distributed.

An example of spatially distributed, temporal variation of water levels in the Biscayne aquifer is depicted for three wells in figure 5. Changes in water levels that occurred near the Hialeah-Miami Springs Well Field at wells G-3 and G-1368A are shown in figure 5. Long-term changes in water levels that occurred at well G-1502 in Everglades National Park are shown in figure 6. Changes in water-level means and standard deviations are provided for both figures. The temporal changes in water levels and standard deviations at these wells are different from each other because these wells are located in widely separated parts of the aquifer that are influenced by different natural and anthropogenic factors. For example, at well G-1502, the differences in water levels observed for the periods November 1973 to July 1992 and July 1992 to November 2000 are much different than the changes that occurred at wells G-3 and G-1368A. Water levels at the latter two wells were drawn down by well-field operation, whereas water levels at well G-1502 were more strongly influenced by levees, canals, and water-management practices.

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 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. Link to larger version

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

The comparison of aquifer water levels at wells G-3 and G-1368A (fig. 5) also depicts a slightly less apparent example of spatially distributed, temporal water-level variation. Before urbanization began in southern Florida, water levels in wells G-3 and G-1368A probably were nearly identical because these wells are only 1 mi apart. The differences in water-level behavior that exist now between wells G-3 and G-1368A are strongly influenced by variations in pumpage from the Hialeah-Miami Springs Well Field (fig. 5). Using this line of reasoning, if wells G-3 and G-1368A had historical water-level data from the last few centuries, a correlation analysis of the data for this entire period likely would yield a correlation coefficient that approaches 1.0 (representing excellent correlation because nearly all of the data being compared would be from the period prior to well-field installation. In this example, however, the result of the correlation analysis would probably not be very representative of current conditions. Considering the changes that have occurred in this area and that have affected water-level data from both wells, a long-term correlation analysis alone would not be an appropriate approach.

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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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