title: The temporal structure of pollution levels in developed cities.
abstract: Currently, the need for mobility can cause significant pollution levels in cities, with important effects on health and quality of life. Any approach to the study of urban pollution and its effects requires an analysis of spatial distribution and temporal variability. It is a crucial dilemma to obtain proven methodologies that allow an increase in the quality of the prediction and the saving of resources in the spatial and temporal sampling. This work proposes a new analytical methodology in the study of temporal structure. As a result, a model for estimating annual levels of urban traffic noise was proposed. The average errors are less than one decibel in all acoustics indicators. A new working methodology of urban noise has begun. Additionally, a general application can be found for the study of the impacts of pollution associated with traffic, with implications for urban design and possibly in economic and sociological aspects.
authors.affiliation: Acoustics Laboratory, Department of Applied Physics, Polytechnic School, University of Extremadura, Avenida de la Universidad s/n, 10003 Cáceres, Spain. Electronic address: barrigon@unex.es.
authors.forename: Juan Miguel
authors.initials: JM
authors.lastname: Barrigón Morillas
authors.affiliation: Department of Mathematics, Polytechnic School, University of Extremadura, Avenida de la Universidad s/n, 10003 Cáceres, Spain.
authors.forename: Carmen
authors.initials: C
authors.lastname: Ortiz-Caraballo
authors.affiliation: Acoustics Laboratory, Department of Applied Physics, Polytechnic School, University of Extremadura, Avenida de la Universidad s/n, 10003 Cáceres, Spain.
authors.forename: Carlos
authors.initials: C
authors.lastname: Prieto Gajardo
mesh_terms: D000393:Air Pollutants; D002947:Cities / Q000706:statistics & numerical data*; D004784:Environmental Monitoring; D004787:Environmental Pollution / Q000706:statistics & numerical data*; D014504:Urban Health
chemical_list: D000393:Air Pollutants
keywords: Environmental pollution; Long-term measurements; Road traffic noise; Temporal variability