## 4 Results
The explanations for these low correlations could be the atmospheric calm during the period when the data series were collected and the relatively low height (1.4 m) at which the measurements were done. Moreover, the tanks are situated in an area surrounded by fences approximately 3 m high, which prevent significant air circulation. The Anderson-Darling test returned \(p\)-values very close to zero, indicating that the samples (in a zone) are not extracted from the same population, so they do not follow the same repartition. The [PERSON]'s test rejected the null hypothesis, so one cannot accept the hypothesis that the series have the same median. \begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c} \hline \hline
**Zone 1** & **M1** & **M2** & **M3** & **M4** & **M5** & **M6** & **M7** & **M8** & **M9** & **M10** & **M11** & **M12** & **M13** & **M14** & **M15** \\ \hline Normality & 1 & 1 & 1 & 1 & 0 & 0 & 1 & 1 & 0 & 1 & 0 & 0 & 1 & 0 & 0 \\ Homoskedasticity & 1 & 1 & 1 & 1 & 1 & 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 \\ ACF order & 1 & 0 & 1 & 1 & 0 & 1 & 0 & 0 & 0 & 1 & 1 & 1 & 0 & 0 & 0 \\ PACF order & 1 & 0 & 1 & 1 & 0 & 1 & 0 & 0 & 0 & 1 & 1 & 1 & 0 & 0 & 0 \\ Outlier & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 1 & 0 \\ \hline Zone 2 & M1 & M2 & M3 & M4 & M5 & M6 & M7 & M8 & M9 & M10 & M11 & M12 & M13 & M14 & \\ \hline Normality & 1 & 1 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & \\ Homoskedasticity & 0 & 0 & 1 & 1 & 1 & 1 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 \\ ACF order & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 0 & 1 & 1 & 1 & 1 \\ PACF order & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 0 & 0 & 0 & 1 \\ Outlier & 0 & 0 & 0 & 1 & 3 & 0 & 2 & 3 & 1 & 1 & 1 & 0 & 0 & 2 \\ \hline Zone 2 & M1 & M2 & M3 & M4 & M5 & M6 & M7 & M8 & M9 & M10 & M11 & M12 & & \\ \hline Normality & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & & & \\ Homoskedasticity & 1 & 1 & 1 & 1 & 1 & 1 & 0 & 1 & 0 & 1 & 1 & 0 & & \\ ACF order & 1 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & & \\ PACF order & 1 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & & \\ Outlier & 3 & 2 & 3 & 0 & 0 & 1 & 0 & 1 & 1 & 1 & 0 & 0 & & \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Features of the data series. Figure 6: The QQ plot of the series Z1M10. The dots represent the sample’s quantile. The line represents the theoretical (Gaussian) quantiles. The lowest dissimilarities are noticed between the series in Zone 1. Table 3 presents the \(p\)-values in the variance tests. They indicate that the hypothesis that all series in each zone have the same variance can be rejected, given that the \(p\)-values associated with both tests are very close to zero. This result indicates high outlier values, which lead to the variance increase. As a partial conclusion from part III, the series groups are inhomogeneous from the viewpoint of their properties as elements of each group. IV. First, the sites in each zone were clustered, considering the raw data series. To determine the number of clusters, we ran 23 algorithms implemented in the NbClust package in R. For Zone 1, 8 algorithms determined six as the optimum number of clusters,  
Figure 8: Results of the Mood median test for Zone 1. \begin{table}
\begin{tabular}{c c c c} \hline \hline  & **Zone 1** & **Zone 2** & **Zone 3** \\ \hline Levene & 3.059 \(\times 10^{-4}\) & 5.390 \(\times 10^{-11}\) & 4.219 \(\times 10^{-16}\) \\ Fligner-Killeen & \(<\)2.2 \(\times 10^{-16}\) & 1.934 \(\times 10^{-11}\) & 4.642 \(\times 10^{-8}\) \\ Reject & yes & yes & yes \\ \hline \hline \end{tabular}
\end{table} 
Table 3: \(p\)-values and decision on the rejection of the variances’ equality in the variance tests. Figure 7: Correlation matrix of the series in Zone 1. 6 determined 2 and 5, and the rest indicated other values for \(k\). The results of the analysis of the internal clustering connectivity and clusters' stability are given in Table 4, rows 3-6. The best connectivity is obtained with 2 clusters, while, in terms of stability, \(k=6\) is the best choice according to AD, 3 according to ADM, and 2 according to APN.