Tools for evaluation and prediction of industrial noise sources. Application
to a wastewater treatment plant

Durán del Amor, María del Mar; Baeza Caracena, Antonia; Llorens, Mercedes; Esquembre, Francisco

Publication:
Tools for evaluation and prediction of industrial noise sources. Application to a wastewater treatment plant

dc.contributor.author	Durán del Amor, María del Mar
dc.contributor.author	Baeza Caracena, Antonia
dc.contributor.author	Llorens, Mercedes
dc.contributor.author	Esquembre, Francisco
dc.contributor.department	Matemáticas
dc.date.accessioned	2024-01-24T08:57:38Z
dc.date.available	2024-01-24T08:57:38Z
dc.date.issued	2022-07-18
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 Management	es
dc.description.abstract	In 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.format	application/pdf	es
dc.format.extent	12	es
dc.identifier.citation	Journal of Environmental Management 319 (2022) 115725
dc.identifier.doi	https://doi.org/10.1016/j.jenvman.2022.115725
dc.identifier.issn	0301-4797
dc.identifier.uri	http://hdl.handle.net/10201/137634
dc.language	eng	es
dc.publisher	Elsevier Ltd.	es
dc.relation	Authors 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.relation.publisherversion	https://www.sciencedirect.com/science/article/pii/S0301479722012981	es
dc.rights	info:eu-repo/semantics/openAccess	es
dc.rights	Atribución-NoComercial 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc/4.0/	*
dc.subject	Noise prediction	es
dc.subject	Noise modelling	es
dc.subject	Noise pollution	es
dc.subject	Noise mapping	es
dc.subject	Industrial noise	es
dc.subject	Noise source apportionment	es
dc.subject.other	CDU::6 - Ciencias aplicadas	es
dc.title	Tools for evaluation and prediction of industrial noise sources. Application to a wastewater treatment plant	es
dc.type	info:eu-repo/semantics/article	es
dspace.entity.type	Publication	es