PRELIMINARY CHARACTERIZATION OF BINARY KARST AQUIFERS WITH TRACER TESTS AND TIME SERIES ANALYSIS
Qualitative dye tracer tests were performed to identify recharge areas of the two springs. Monitoring stations at springs measured the water discharge (Q) and the specific conductance, (SC) every hour. The rainfall (R) was measured by a pluviometer connected to an event logger. The time series (2014 to 2016) were analyzed with autocorrelation (ACF) and cross-correlation functions (CCF) to compare the flow dynamics of both systems.
Tracer tests indicate that AL spring drains most of the area. Field observations show that the main volume of perennial sink waters is related with this spring. The average values of the parameters from the hydrologic monitoring are: AL – Q= 0.6 m3/s, SC = 137.7 µS cm-1; OG – Q= 0.1 m3/s, SC=158.2 µS cm-1. The mean annual rainfall in the region is 1250 mm. The global analysis of Q (daily average) with ACF shows that memory effect in OG is 3 times higher than the obtained for AL. The same analysis for SC shows that the memory is 1.5 times higher in AL. The CCF was used to analyze the relations between R, Q and SC time series (in hour basis). When analyzing CCF for R x Q, the maximum value occurs after 4 h for AL (r= 0.31) and after 3 h for OG (r= 0.25). Contrasting results were observed when CCF was applied for R x SC. The CCF for AL shows the usual behavior with a “negative peak” (after 13 h) that represents the pulse of fresh infiltrated rainwater, whereas OG shows a “negative peak” (after 2 h), followed by a 50 h peak (peaks identified with 99% of confidence intervals).
The results indicate that AL system is more efficient to drain, and OG system more competent to store. The slow drain in OG causes a fast increase in water mineralization, which also may explain the higher average SC in this system. The contrasting SC dynamics revealed by CCF is related with the size of the systems and with the provenance and distribution of concentrated and diffuse recharge.