Cálculo del índice del calidad del agua con python en cuerpos de agua superficial loticos, impactados por actividades humanas.

Abstract

The objective of this work is to determine the water quality index (WQI) based on nine parameters measured and evaluated in situ using a Python programming code. The project focuses on obtaining the water quality through the water quality index (WQI) that starts with the identification and characterization of the nine necessary parameters (dissolved oxygen, fecal coliforms, pH, BOD, nitrates, phosphate, temperature variation, turbidity, dissolved solids). Subsequently, it is focused on the realization of the programming code where the NSF (National Sanitation Foundation) method and the HPI (heavy metal index) are considered to obtain the global AQI, with water quality parameters measured in-situ and/or in the laboratory. Once this value is calculated, the pseudocode is programmed to indicate to the user the state of the water (excellent, good, average, bad, poor and very poor), and recommendations for its use according to the result of the global AQI obtained (human consumption, in agriculture, fishing and aquatic life, industrial use and recreational use). The program was validated by means of the study carried out in the Monjas River with an error between 1 and 5%, thus implying reliability for its use.