No abstract

En este trabajo se han analizado datos de la columna total deozono derivados de las mediciones realizadas por el Espectrómetro de Mapeo deOzono Total de la Sonda de la Tierra (Eptoms) de la Administración Nacionalde Aeronáutica y del Espacio (NASA), valorando su idoneidad para la prediccióndel índice ultravioleta (UV) para la ciudad de Puno (15.83 latitud Sur y 70.03longitud Oeste). Al realizarse un análisis por año mediante ajustes de funcionessenoidal, se observa que el desfasaje varía de un año a otro. Asimismo, duranteel periodo estudiado (2005-2017) se encontraron tres fechas en las cuales sepresentaron agujeros de ozono: el 5 de febrero de 2010 y el 29 de abril del 2016se presentaron valores de 218 unidades Dobson (UD); y el 17 de mayo de 2005se presentó el valor de 219 UD. El comportamiento de columna de ozono poraño ostenta una forma cíclica senoidal, como lo establece el ciclo estacional.

No abstract

Prolonged exposure to UV radiation is harmful and causes skin cancer. Currently, interested people get their UV radiation information from the weather forecast, which has a rough estimate and average for a given region. The research focuses on developing a mobile application using the mobile application development methodology with the objective of calculating UV index values in real time, considering the geographical position and time. The evaluation of the values calculated by the mobile application were validated by linear correlation with data obtained by the TUV model and measured by the meteorological station, obtaining values greater than 0.993 for both comparisons. It is determined that extreme values are presented between the hours of 11am to 14pm. Concluding that it is possible to implement mobile applications to determine UV index values for the Puno region.

The objective of this research was to develop a mobile application to estimate the values of the ultraviolet index in real time using a theoretical model and the light sensor of the cell phone. For which an application is developed in Android Studio. The correlation and standard error statistics are considered for the validation of the measurements and a portable meter, to compare the measurements in real time in the city of Puno. Considerable results were obtained during the year 2021 considering the four seasons of the year. Where a data correlation of 0.99 was obtained between the data estimated by the cell phone with respect to the data measured by the GD-UV06 UV meter and a maximum average standard error of 0.521. Concluding that it is possible to estimate ultraviolet index values through the use of a cell phone and mobile App in real time.