Supervision and assessment of Zirahuén Lake areas through a computational system implementation

Mexico has numerous lakes with different characteristics and great importance for both biological and social aspects. This work shows the development of a computational system for water quality analysis in lake bodies by measuring relevant physicochemical parameters such as temperature, turbidity, and dissolved oxygen levels. Through the design and construction of a submersible measurement system, the water quality analysis process is automated. The development of specialized software for data management and measurement allows to speed up the process of water quality evaluations. Likewise, mathematical models are defined for the estimation of water quality parameters at different depths. The experimental measurements were carried out in Zirahuén Lake, located in Michoacán de Ocampo state, Mexico, due to the importance of the locality's ecosystem and the diversity of endemic species that reside there. As a result, a tool is obtained to facilitate decision-making to conserve water bodies, generating more advanced assessments.