Contribution of Statistical Analysis Methods to Assessment of the Physicochemical Quality of the Dam
Received Date: September 22, 2020; Published Date: October 20, 2020
We used statistical analysis to try to evaluate the temporal variations concerning surface water located in Baber watershed. So, we collected twenty-one (21) samples, for each city, seven (7) ones were collected. In these samples, we determined eleven (11) physicochemical parameters. Concerning the eastern part (S1): the salinity of samples proves high TDs values, while low TDs levels were found in the west (S2). In the dam (S3) TDs values are considered as intermediate on average. Regarding the water type: It wasSO4-Na in S1, HCO3-Ca-Mg in S2 and finally SO4-Ca-Mgin the dam (S3) which characterizes mixed water. In R-mode, Cluster analysis was used; we classified seven (7) variables into two (2) clusters which are controlled by SO4.About Q-mode, 21 samples were grouped into three (3) groups corresponding to our three (3) stations: S1, S2 and S3. Factor analysis is indicating to us two factors: these factors explains 87% of the total variance related with data set about water quality. We have two factors (Salinization and sulfates) that explain respectively 73% and 14% of the total variance. We noticed by relying on time series analysis that Cl, Na, Mg, Ca and SO4 have very similar trend with TDs, and we noticed similar pattern between K and NO3. It suggests that five (5) components are controlling the evolution of TDs. Negative correlations between K & No3 with TDs because of human activities, like domestic sewages (thrown into the tributaries of Wadi Arab) and fertilizers for example. We could notice, by establishing this study, the real benefit of the used technique (statistical analysis) to interpret complex data sets related to the analysis of spatio-temporal variations in the water surface’s quality.
Keywords: Statistical analysis; Salinization; Surface water; Dam; Baber