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https://doi.org/10.1016/j.envsoft.2020.104898


Título: | A web application to estimate the carbon footprint of constructed wetlands |
Fecha de publicación: | 10-oct-2020 |
Editorial: | Elsevier |
Cita bibliográfica: | Environmental Modelling and Software 135 (2021) 104898 |
ISSN: | Print: 1364-8152 Electronic: 1873-6726 |
Palabras clave: | Constructed wetlands; Wastewater treatment; Carbon footprint; Web application development |
Resumen: | Constructed wetlands (CWs) are engineering systems recognized as an efficient and sustainable option to wastewater treatment. Due to the growing interest in CWs for waste management, the number of works analyzing their footprint and impact has risen in the last years. Thus, the study of these systems and their components in construction, operation, and demolition phases is important to characterize the technology and achieve a fully environmental-friendly approach. Until now, no complete tools for measuring both direct and indirect greenhouse gas (GHG) emissions in CWs have been reported in the field. Some efforts in this line are Life Cycle Assessment tools, which can be economically expensive and usually require specific training. Therefore, this work aims to present a web application as an open and complete tool for the estimation of GHG emissions in CWs, including both direct and indirect emissions and considering all the stages involved in their management. |
Autor/es principal/es: | Andreo Martínez, Pedro Ortiz Martínez, Víctor Manuel Andrés, Muñoz Menchón Sánchez, Pablo Quesada Medina, Joaquín |
URI: | http://hdl.handle.net/10201/137772 |
DOI: | https://doi.org/10.1016/j.envsoft.2020.104898 |
Tipo de documento: | info:eu-repo/semantics/article |
Número páginas / Extensión: | 9 |
Derechos: | info:eu-repo/semantics/embargoedAccess |
Descripción: | ©2020 Elsevier Ltd. All rights reserved. This document is the Published version of a Published Work that appeared in final form in Environmental Modelling and Software. To access the final edited and published work see https://doi.org/10.1016/j.envsoft.2020.104898 |
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