Figure 3 – Sulfide Consumption and Depletion of Neutralizing Agents Using Different Methodologies. Source: WES (2024). 3. RESULTS AND DISCUSSION The technological implementation enabled the transformation of geochemical data processing from a manual and reactive approach to an automated, analytical, and predictive framework. From an operational standpoint, the processing of historical time series spanning more than 15 years— previously requiring weeks of work—was reduced to hours, achieving an optimization of over 60% in processing and reporting times. This shift not only improves efficiency but also enables decision-making based on up-to-date and consistent information. Beyond efficiency gains, the primary value of the solution lies in its ability to integrate, analyze, and forecast the geochemical behavior of materials, allowing for early risk identification and the optimization of environmental management strategies. 3.1 Temporal Evolution of Leachate Hydrochemistry The integrated analysis of the dataset enabled the identification of consistent evolutionary patterns in key hydrochemical parameters, revealing the system’s transition toward geochemical equilibrium states during specific periods. Figure 4 shows that the progressive stabilization of electrical conductivity and controlled variations in pH act as indicators of the system approaching equilibrium conditions, thereby validating the platform’s capability to detect long-term geochemical dynamics.
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