Abstract
The city of Santa Marta faces a significant potable water shortage of around 1600 liters daily, worsened by insufficient water sources and outdated supply systems. Annual precipitation of 362 mm exacerbates the problem. Groundwater, comprising 40% of the current supply, aims to alleviate this, yet doubts linger about water source quality and sustainability in a city with over half a million residents. This study employed real-time IoT monitoring for pH, dissolved oxygen, conductivity, and temperature. Data was Python-analyzed and graphed. Results indicate aquifer characteristic fluctuations, maintaining temperature and conductivity within limits, but with low dissolved oxygen and alkaline pH.
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