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dc.contributor.authorArias Cisterna, Andrea
dc.contributor.authorRama Caamaño, Manuel
dc.contributor.authorGonzález García, Sara
dc.contributor.authorFeijoo Costa, Gumersindo
dc.contributor.authorMoreira Vilar, María Teresa
dc.date.accessioned2020-06-29T10:13:17Z
dc.date.available2022-06-28T01:00:08Z
dc.date.issued2020
dc.identifier.citationJournal of Water Process Engineering. Volume 37, October 2020, 101469. doi: 10.1016/j.jwpe.2020.101469
dc.identifier.issn2214-7144
dc.identifier.urihttp://hdl.handle.net/10347/23067
dc.description.abstractThe planning and construction of large-scale wastewater infrastructure, such as sewerage networks and wastewater treatment plants, is undertaken by the public sector or by publicly regulated monopolies. Only on smaller scales can infrastructure be managed by private companies or through local collective initiatives. Within this framework of water cycle management, there is an increasing movement of the population towards cities where economic activity is concentrated. This scenario is particularly pronounced in certain regions of the world and makes it necessary to rethink whether decentralised treatment offers a way of ensuring the servicing of wastewater treatment in new urban developments, alleviating pressure on facilities that are at the limit of their capacity. In this study four systems were evaluated: two centralised and two decentralised configurations, from an environmental and economic perspective, posing as working hypothesis how different wastewater treatment schemes influence the carbon footprint of the population living in a neighbourhood. The analysis of the results identifies that the decentralised systems present a reduction in the carbon footprint of residents of around 20–23 % depending on the technology considered. In addition, reclaimed water can meet the water quality requirements for irrigation of the green areas in the neighbourhood. Although decentralised systems have higher construction costs, they can be amortised due to lower energy consumption, so the payback time is estimated to be 8–9 years, lower than that of centralised systems. Considering the problems associated with changing and replacing existing networks, decentralised wastewater treatment systems is especially recommended for new dwelling developments, based on its environmental and economic indicators
dc.description.sponsorshipThis research was supported by the EU project: Run4Life (GA no 730285-1). The authors belong to the Galician Competitive Research Group GRC ED431C 2017/29) and to the CRETUS Strategic Partnership (ED431E 2018/01). Dr. S. González-Garcia would like to express her gratitude to the Spanish Ministry of Economy and Competitiveness for financial support (Grant reference RYC-2014-14984). All these programs are co-funded by FEDER (EU)
dc.language.isoeng
dc.publisherElsevier
dc.rights© 2020 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDecentralised systems
dc.subjectEconomic approach
dc.subjectLife cycle assessment (LCA)
dc.subjectResident carbon footprint
dc.subjectWater reuse
dc.titleEnvironmental analysis of servicing centralised and decentralised wastewater treatment for population living in neighbourhoods
dc.typejournal article
dc.identifier.doi10.1016/j.jwpe.2020.101469
dc.relation.publisherversionhttps://doi.org/10.1016/j.jwpe.2020.101469
dc.type.hasVersionAM
dc.rights.accessRightsembargoed access
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Enxeñaría Química
dc.contributor.affiliationUniversidade de Santiago de Compostela. Instituto Interdisciplinar de Tecnoloxías Ambientais (CRETUS)
dc.description.peerreviewedSI
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RYC-2014-14984/ES/


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© 2020 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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 © 2020 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)





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