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pumping or that contained too few water level measurements to determine a trend were <br />omitted from the analysis. The goodness of fit of the regression line was assessed to identify <br />those locations where the correlation was statistically significant. The correlation coefficient for <br />this line was statistically tested using the Student's t test and only those regressions that had a <br />significance level of ten percent or lower were retained, i.e., the probability of random variation <br />accounting for the correlation was 10 percent or less. <br />After groundwater elevation trends were analyzed, the identified water level change per year <br />for each well was posted on a map. The posted trends were used to generate color gradated <br />symbols to display regional groundwater elevation changes per year in the alluvium. The <br />resulting water level trend map and associated discussion are presented in Section 3.2. <br />Temporal Anal <br />Hydrographs for selected wells located throughout the South Platte Alluvium Region were <br />created. Hydrographs provide a detailed record of water level changes over time. Wells for <br />which hydrographs were created were selected based upon the period of record available, <br />existence of recent data, and the spatial distribution. Hydrographs were created for twenty <br />wells. <br />To create a hydrograph, all historical water level measurements from a given well were queried <br />from the SPDSS database. Using this historical record, the data set was filtered to only include <br />the first late winter/early spring (February to April) water level measurement of a given year. <br />These water level measurements were used to generate a hydrograph for a given well. Spring <br />water level measurements were used to minimize water level fluctuations due to summer <br />pumping. Spring water level data will most accurately represent long-term trends in water <br />levels. Hydrographs for the 20 wells in the South Platte Alluvium Region are presented in <br />Section 3.3. To aid in comparison, the vertical axis of each hydrograph is presented with a <br />uniform 10-foot interval and a range of 50 feet. <br />2.0 Water Level Database <br />One of the objectives of Task 44 was to create aHydroBase-compatible database with water <br />level data from the South Platte Alluvium Region. The remainder of this section describes the <br />SPDSS database with HydroBase compatible tables that are used to store water level data. <br />2.1 Database Structure <br />HydroBase is the State of Colorado's database used to manage hydrological data. Appendix D <br />provides a detailed listing of the database and fields from HydroBase that contain water level <br />information. <br />Four data tables contain aquifer water level data. These named WELL, WELL_MEAS, <br />REF_LOC_ACCURACY and REF_ELEV_ACCURACY. <br />The WELLS table contains the location, well elevation, permit number, well depth, and many <br />other types of information about wells. The WELLS table is the core table that links well <br />information data with water level, geophysical log, and aquifer test data. <br />SPDSS Phase 3 Task 44.3 TM -Final 10 <br />11/29/2006 <br />