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. 2017 Nov 22;8:2229. doi: 10.3389/fmicb.2017.02229

Table 3.

Overview of the different monitoring strategies and the resulting (1) probability to detect precipitation-induced TCC events and (2) accuracy of peak concentration estimations of bacteria in karstic spring water during a 3-month observation period (Figure 2, Spring B).

Monitoring strategy Probability of TCC event detection Estimation of TCC peak concentration (R = sampled maximum divided by true maximum)
n Average Range (%) Median (%)a 25% Quartile (%)a 75% Quartile (%)a Median range (%)b
Constant interval Quarterly 1 10 3–16 43 (31) 19 (17) 61 (59) 14–84
Monthly 3 29 10–48 44 (31) 19 (17) 62 (59) 14–84
Weekly 14 86 42–100 54 (47) 34 (29) 67 (68) 33–84
Bi-weekly 28 99 85–100 64 (64) 52 (49) 80 (84) 38–86
Daily 99 100 87 (89) 72 (82) 93 (93) 56–94
Randomly (working hours) Quarterly 1 9 2–15 41 (32) 20 (17) 62 (60) 16–83
Monthly 3 24 9–37 43 (36) 21 (18) 63 (64) 16–83
Weekly 14 71 35–91 51 (50) 32 (26) 68 (74) 23–85
Bi-weekly 28 91 63–100 61 (62) 41 (38) 84 (86) 38–87
Daily 70 100 81 (87) 55 (58) 92 (92) 46–93
Targeted 33 100 89 (90) 69 (72) 92 (92) 46–94

For the constant sampling interval and random sampling, multiple possible realizations were statistically summarized whereas for the targeted sampling only one realization exists in this study. See Figure 3, Figures S2, S3 for graphical representations of the results and Table S1 for results of individual TCC events.

a

For the combination of all realizations for all 11 TCC events in Figure 3 (in brackets without events 7 and 8).

b

For the 11 individual TCC events; see Table S1 for all values.