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dc.contributor.authorDurán del Amor, María del Mar-
dc.contributor.authorBaeza Caracena, Antonia-
dc.contributor.authorLlorens, Mercedes-
dc.contributor.authorEsquembre, Francisco-
dc.contributor.otherFacultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Ingeniería Químicaes
dc.contributor.otherFacultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Matemáticases
dc.date.accessioned2024-01-24T08:57:38Z-
dc.date.available2024-01-24T08:57:38Z-
dc.date.issued2022-07-18-
dc.identifier.citationJournal of Environmental Management 319 (2022) 115725es
dc.identifier.issn0301-4797-
dc.identifier.urihttp://hdl.handle.net/10201/137634-
dc.description© 2022 The Authors. This manuscript version is made available under the CC-BY-NC 4.0 license http://creativecommons.org/licenses/by-nc /4.0/ This document is the published manuscript version of a published work that appeared in final form in Journal of Environmental Managementes
dc.description.abstractIn recent years, acoustic pollution caused by noise has considerably increased in many countries. Particularly in Spain, the noisiest country in Europe. It is sometimes difficult to predict the noise levels that a new installation or an expansion of industrial equipment will cause in the surroundings. This work introduces a new methodology for the prediction, evaluation, and analysis of industrial noise sources, as well as a novel tool for predicting and categorizing outdoor noise from its measurement at their sources. A Wastewater Treatment Plant (WWTP) has been used to demonstrate the applicability and validity of this methodology. The continuous level of acoustic pressure equivalent has been measured in different points of the plant using an integrating sound level meter. From these values, noise maps have been built to obtain detailed information of the industrial noise generated in the installation. Also, the typical frequency patterns of each type of source have been used for the calculation of source noise apportionments. To achieve this objective, several noise sources have been selected to provide information about their contribution to the industrial noise in the WWTP surrounding area. Finally, predictions have been validated using actual measurements. This methodology is a useful tool to predict personal exposure to noise and the impact on the environment. This information can be used, in particular, to propose mitigation actions.es
dc.formatapplication/pdfes
dc.format.extent12es
dc.languageenges
dc.publisherElsevier Ltd.es
dc.relationAuthors gratefully acknowledge to Alcantarilla WWTP personnel, ESAMUR company, University of Murcia and Seneca Foundation (21246/FPI/19). This work was partially funded by the Spanish Ministry of Science and Innovation through projects MTM2017-84079-P and PID2019-108377RB-C32.es
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAtribución-NoComercial 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectNoise predictiones
dc.subjectNoise modellinges
dc.subjectNoise pollutiones
dc.subjectNoise mappinges
dc.subjectIndustrial noisees
dc.subjectNoise source apportionmentes
dc.subject.otherCDU::6 - Ciencias aplicadases
dc.titleTools for evaluation and prediction of industrial noise sources. Application to a wastewater treatment plantes
dc.typeinfo:eu-repo/semantics/articlees
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0301479722012981es
dc.identifier.doihttps://doi.org/10.1016/j.jenvman.2022.115725-
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