Participative sensing in noise mapping: An environmental management system model for the Province of Santa Elena

Abstract

Noise pollution is a common problem in urban environments. Although the authorities in some cities have launched campaigns to monitor the problem, the resulting maps are not always easily accessible and are generally not detailed enough to understand the temporal and spatial variations in noise to which people are exposed. In this context, information technologies and systems are an added value in improving the mapping of noise pollution. The objective of this article is solve a gap in the province of Santa Elena, the absence of noise map in urban areas, and consequently the lack of knowledge of the impact of noise pollution on the population. This paper presents a model for participative sensing in noise pollution mapping system using a smartphone, allowing citizens to contribute to the collection of noise data, thus participating in a more sustainable environmental management.