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Water Quality and Dynamic Time Series Based on Meteorological Variables at the Muisne Station Located in the Bunche Enclosure, Esmeraldas, Ecuador

Abstract:

The study of climate is important over time since it allows to forecast the behavior of climatic variables, being necessary to have climatological records of at least 30 years. The community of Bunche has faced deficiencies in drinking water in their homes, taking into account that water is an increasingly scarce resource in the world, it was necessary to build a fog collector system to be able to capture water and meet the different needs in the population, thus, the exploratory analysis of data (EAD) was carried out to understand the behavior of meteorological variables: precipitation, temperature, relative humidity and wind speed of Muisne station (M153). The information was collected from the National Institute of Meteorology and Hydrology and the remote sensor TERRACLIMATE from the period 1990 to 2020, after that, recurrence maps were generated, and the ACP multivariate analysis was developed to filter the variables with the greatest correlation. Consequently, climate forecasts were made by applying the ARIMA model by coding in the R-Studio software. The results allowed pbkp_redicting accumulated monthly rainfall ranging between 100–200 mm and average monthly temperatures between 25–26 ℃ by 2022, ensuring a high amount of water collected, which was suitable for human consumption and agricultural use according to the water quality analyses carried out and which were evaluated about the standards established in Ministerial Agreement 097-A from Ecuador.