The objective of this study conducted from October to December 2020 in the Natural Resources and Sensitive Environment Development Laboratory was to demonstrate the importance of conservation protocols respect throw evolution of water chemistry. Ninety-nine samples representing three water types (tap, spring and mineral water) were analyzed. Storage was at laboratory temperature with no conservation protocol. Studied parameters (temperature, pH, CE, dissolved oxygen, oxydo-reduction potential, total dissolved solids, HCO₃⁻, Ca²⁺, Mg²⁺, SO₄²⁻ and Cl⁻) were determined using standard methods. The data registered from physico-chemical parameters were subjected to different analytical methods to assess the time affect on their values compared with initial state. The results indicate that pH and alkalinity (exprimed in HCO₃⁻) are the most vulnerable to evolution processes with highly significant time factor effect, while the concentrations of chlorides and sulfates with conductivity levels are statistically less evolved. PCA analysis accounting 71.43% of the total variance examines contribution of water type composition as a second variation factor. Projection through F1*F2 plan demonstrates clearly two groups with surface waters (tap water) which are excessively mineralized and groundwaters (spring and bottled waters) in which pH and magnesium parameters variations are the best illustrated.

这项研究于 2020 年 10 月至 12 月在自然资源和敏感环境开发实验室进行，目的是证明保护协议对水化学抛掷演化的重要性。分析了代表三种水类型（自来水、泉水和矿泉水）的 99 个样品。储存在实验室温度下，没有保存协议。研究的参数（温度、pH、CE、溶解氧、氧化还原电位、总溶解固体、HCO ₃ ^-、Ca ²⁺、Mg ²⁺、SO ₄ ^2-和 Cl ^-) 是使用标准方法确定的。从物理化学参数记录的数据经过不同的分析方法，以评估与初始状态相比对其值的时间影响。结果表明 pH 和碱度（在 HCO ₃ ^-) 最容易受到具有高度显着时间因子效应的演化过程的影响，而具有电导率水平的氯化物和硫酸盐的浓度在统计上较少演化。占总方差 71.43% 的 PCA 分析检查了水类型成分的贡献作为第二个变化因素。通过 F1*F2 计划的投影清楚地显示出两组：过度矿化的地表水（自来水）和最能说明 pH 值和镁参数变化的地下水（泉水和瓶装水）。