This document analyses the calibration logs for 3 manta sondes, calibration dates 2019-2022.
Sonde 4105 seems quite stable. Sonde 3594 less stable.
## [1] "Mean TRYP RV for 100ppb, sonde 3594, pre-2021: 0.017"
## [1] "Mean TRYP RV for 100ppb, sonde 3594, post-2021, exclude values > 0.03 RV: 0.012"
## [1] "Mean TRYP RV for 100ppb, sonde 4105, exclude 1st value: 0.016"
Individual values for TRYP = 100ppb shows that the most “reasonable” value isn’t always that last one in the series. Sorted by sonde, then by date:
## sonde Date rv new done
## 9 5259 2022-10-20 0.103417800 100
## 18 3594 2019-05-02 0.021444080 100 Done
## 26 3594 2019-06-22 0.011506230 100 Done
## 44 3594 2019-08-11 0.014032780 100 Done
## 59 3594 2019-10-08 0.004999280 100 Done
## 62 3594 2019-11-06 0.015323280 100 Done
## 63 3594 2019-11-06 0.021649360 100 Done
## 64 3594 2019-11-06 0.023138880 100
## 79 3594 2020-01-08 0.030869990 100
## 81 3594 2020-01-08 0.027027280 100 Done
## 96 3594 2020-02-21 0.013041440 100
## 103 3594 2020-03-08 0.016175060 100 Done
## 105 3594 2020-09-28 0.012565790 100 Done
## 116 3594 2020-11-05 0.012235350 100
## 127 3594 2020-12-03 0.017384200 100
## 152 3594 2021-10-15 0.018283550 100 Quit
## 153 3594 2021-10-15 0.021642480 100 Quit
## 154 3594 2021-10-15 0.048743610 100
## 161 3594 2022-01-21 0.005194545 100 Done
## 179 3594 2022-07-18 0.008651734 100 Done
## 183 3594 2022-08-30 0.009209991 100
## 185 3594 2022-08-30 0.010401610 100
## 196 3594 2022-10-20 0.054390020 100
## 197 3594 2022-10-20 0.032181150 100
## 205 3594 2022-11-16 0.007993341 100
## 91 4105 2021-01-11 0.036915690 100 Done
## 20 4105 2021-04-23 0.016009840 100
## 261 4105 2021-07-30 0.012838040 100 Done
## 27 4105 2021-07-30 0.013027670 100 Quit
## 49 4105 2021-10-15 0.014839500 100
## 51 4105 2021-12-21 0.016559330 100 Done
## 61 4105 2022-01-21 0.011152630 100 Done
## 78 4105 2022-08-30 0.019941420 100
## 86 4105 2022-09-09 0.015921590 100 Done
## 99 4105 2022-10-25 0.018318600 100
## 106 4105 2022-11-16 0.017543170 100
Sorted by date, then by sonde:
## sonde Date rv new done
## 18 3594 2019-05-02 0.021444080 100 Done
## 26 3594 2019-06-22 0.011506230 100 Done
## 44 3594 2019-08-11 0.014032780 100 Done
## 59 3594 2019-10-08 0.004999280 100 Done
## 62 3594 2019-11-06 0.015323280 100 Done
## 63 3594 2019-11-06 0.021649360 100 Done
## 64 3594 2019-11-06 0.023138880 100
## 79 3594 2020-01-08 0.030869990 100
## 81 3594 2020-01-08 0.027027280 100 Done
## 96 3594 2020-02-21 0.013041440 100
## 103 3594 2020-03-08 0.016175060 100 Done
## 105 3594 2020-09-28 0.012565790 100 Done
## 116 3594 2020-11-05 0.012235350 100
## 127 3594 2020-12-03 0.017384200 100
## 91 4105 2021-01-11 0.036915690 100 Done
## 20 4105 2021-04-23 0.016009840 100
## 261 4105 2021-07-30 0.012838040 100 Done
## 27 4105 2021-07-30 0.013027670 100 Quit
## 152 3594 2021-10-15 0.018283550 100 Quit
## 153 3594 2021-10-15 0.021642480 100 Quit
## 154 3594 2021-10-15 0.048743610 100
## 49 4105 2021-10-15 0.014839500 100
## 51 4105 2021-12-21 0.016559330 100 Done
## 161 3594 2022-01-21 0.005194545 100 Done
## 61 4105 2022-01-21 0.011152630 100 Done
## 179 3594 2022-07-18 0.008651734 100 Done
## 183 3594 2022-08-30 0.009209991 100
## 185 3594 2022-08-30 0.010401610 100
## 78 4105 2022-08-30 0.019941420 100
## 86 4105 2022-09-09 0.015921590 100 Done
## 9 5259 2022-10-20 0.103417800 100
## 196 3594 2022-10-20 0.054390020 100
## 197 3594 2022-10-20 0.032181150 100
## 99 4105 2022-10-25 0.018318600 100
## 205 3594 2022-11-16 0.007993341 100
## 106 4105 2022-11-16 0.017543170 100
TRYP RV time series for blank (0 ppb)
## sonde Date rv new done
## 10 5259 2022-10-20 0.003129244 0 Done
## 65 3594 2019-11-06 0.005418599 0 Done
## 80 3594 2020-01-08 0.011004930 0 Done
## 97 3594 2020-02-21 0.002327532 0 Done
## 117 3594 2020-11-05 0.002400130 0 Done
## 128 3594 2020-12-03 0.002679259 0 Done
## 150 3594 2021-10-15 0.027021650 0
## 151 3594 2021-10-15 0.006847412 0 Quit
## 155 3594 2021-10-15 0.003832698 0 Done
## 184 3594 2022-08-30 0.003014088 0 Done
## 186 3594 2022-08-30 0.002845109 0 Done
## 198 3594 2022-10-20 0.002957762 0 Done
## 206 3594 2022-11-16 0.002853871 0 Done
## 21 4105 2021-04-23 0.004768968 0 Done
## 50 4105 2021-10-15 0.005687714 0 Done
## 791 4105 2022-08-30 0.005521238 0 Done
## 100 4105 2022-10-25 0.005334110 0 Done
## 107 4105 2022-11-16 0.005350382 0 Done
### Turbidity Turbidity has used standards with different NTU/FNU over
the project, so need to 1) plot RV vs standard value and 2) normalize RV
by the NTU to compare across different standards
##
## Call:
## lm(formula = rv ~ new, data = xcomb.TURB)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.32112 -0.02563 0.00266 0.02845 0.63271
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.715e-02 1.636e-02 1.048 0.298
## new 1.459e-03 5.078e-05 28.742 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1158 on 68 degrees of freedom
## Multiple R-squared: 0.9239, Adjusted R-squared: 0.9228
## F-statistic: 826.1 on 1 and 68 DF, p-value: < 2.2e-16