On the Spatial-Temporal Behavior, and on the Relationship Between Water Quality and Hydrometeorological Information to Predict Dissolved Oxygen in Tropical Reservoirs. Case Study: La Miel, Hydropower Dam

Hydropower is currently one of the leading renewable energy sources in developing countries. Despite benefits that it can provide, also triggers significant environmental impacts, such as changes reservoirs’ water quality. In quantifying those changes, dissolved oxygen (DO) used quality indicators and most variable to quantify analyze pollution. This paper aims establish a relationship between hydrometeorological variables tropical reservoirs better estimate oxygen. Univariate multivariate techniques were temporal spatial watersheds select vital for forecast model, Vector Autoregression (VAR). The results show that, all monitoring stations, associated with DO process are COD, BOD, PO₄. Likewise, precipitation flow discharge parameters had impact on DO. Also, principal component analysis (PCA) allowed us identify strength relationships hydrometeorology depending location site. Finally, implementation VAR model showed good performance metrics predictions based analyses.