Índice de calidad del agua recolectada en el río Bogotá: un análisis mediante la computación cognitiva Watson
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Abstract
En este artículo se analizan los datos sobre la calidad del agua del río Bogotá en el periodo 2008-2015 proporcionados por la Corporación Autónoma Regional de Cundinamarca (CAR); para ello se aplica la computación cognitiva, con el fn de establecer los cambios más signifcativos que se han presentado. Además, se hace un análisis espacio-tiempo para las variables relacionadas
en el recurso hídrico en la cuenca alta, para así contribuir con un mecanismo que facilite la comprensión del comportamiento, a través del tiempo, del estado de la calidad del agua. Esto hará posible que las entidades territoriales tengan nuevos criterios y visiones a la hora de formular o reformular nuevos planes. Como herramienta de análisis se utiliza IBM Watson.
Abstract
This article analyzes the data on the water quality of the Bogotá river during the period 2008-2015, provided by the Autonomous Regional Corporation of Cundinamarca (CAR); For this purpose cognitive computation is applied, in order to establish the most signifcant changes that have been presented. In addition, a space-time analysis is performed of the related variables in the water resource in the upper basin, in order to contribute to a mechanism that facilitates the understanding of the behavior, over time, of the state of water quality. This will make it possible for territorial entities to have new criteria and visions when formulating or reformulating new plans. IBM Watson is used as an analysis tool.
Resumo
Este artigo analisa os dados da qualidade da água do rio Bogotá no período 2008-2015, fornecidos pela Corporação Regional Autônoma de Cundinamarca (CAR), na Colômbia; Para este fm, a computação cognitiva é aplicada, com o objetivo de estabelecer as mudanças mais signifcativas que têm se apresentado. Além disso, uma análise espaço-temporal foi realizada para as variáveis relacionadas no recurso hídrico na bacia superior, a fm de contribuir com um mecanismo que facilite a compreensão do comportamento do estado da qualidade da água, ao longo do tempo. Isso permitirá que as entidades territoriais tenham novos critérios e visões para formular ou reformular novos planos. Como uma ferramenta do análise, o IBM Watson foi usado.
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References
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