ALGORITMO PARA LA IDENTIFICACIÓN DE SEÑALES DE CAMPO ELÉCTRICO GENERADAS POR PULSOS BIPOLARES ANGOSTOS ASOCIADOS A RAYOS INTRANUBE (ALGORITHM FOR THE IDENTIFICATION OF ELECTRIC FIELD SIGNALS GENERATED BY NARROW BIPOLAR PULSES ASSOCIATED WITH INTRA-CLOUD LIGHTNING)
Resumen
Los Pulsos Bipolares Angostos (NBPs) son una descarga eléctrica atmosférica que ocurre dentro de las nubes de tormenta, se caracterizan por generar un campo eléctrico de gran magnitud (fuerte radiación) y poseen una duración de varios microsegundos. Para facilitar su estudio, este artículo propone un algoritmo de identificación y caracterización de señales de campo eléctrico producidas por NBPs que permite reducir el proceso (incluyendo el tratamiento y procesamiento de señales) hasta una cuarta parte del tiempo con respecto a los procedimientos manuales. Adicionalmente, a partir de un grupo de señales recolectadas en Weligatta-Sri Lanka en 2016, se validó el funcionamiento del algoritmo identificando 55 NBPs. Finalmente, se caracterizaron las formas de onda estimando cinco parámetros agrupados según la polaridad y comparados con resultados de investigaciones previas. Para estudios realizados en la misma región se observaron parámetros con diferencias estadísticas por debajo de 10%.
Palabras Clave: Algoritmo de identificación, descargas intranube, firmas de campo eléctrico, Pulsos Bipolares Angostos.
Abstract
Narrow Bipolar Pulses (NBPs) are an atmospheric electrical discharge that occurs inside thunderstorm clouds, they are characterized by generating an electric field of great magnitude (strong radiation) and have a duration of several microseconds. To facilitate their study, this paper proposes an algorithm for the identification and characterization of electric field signals produced by NBPs that allows to reduce the process (including treatment and signal processing) up to a quarter of the time compared to manual procedures. In addition, from a set of signals recorded in Weligatta-Sri Lanka in 2016, the performance of the algorithm was validated by identifying 55 NBP signals. Finally, the waveforms of NBPs were characterized by estimating five parameters grouped according to polarity and compared with some results of previous investigations. For studies performed in the same region parameters with statistical differences under 10% were observed.
Keywords: Electric field signatures, identification algorithm, intracloud discharges, Narrow Bipolar Pulses.
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