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Extracting the characteristics of life cycle assessments via data mining

Life cycle assessments (LCAs) follow the ISO 14040 standard and consist of the following steps: 1) goal and scope definition, 2) life cycle inventory analysis, 3) life cycle impact assessment, and 4) interpretation. Prior literature reviews of wastewater treatment and water reuse LCAs have evaluated...

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Detalles Bibliográficos
Autores principales: Diaz-Elsayed, Nancy, Zhang, Qiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399238/
https://www.ncbi.nlm.nih.gov/pubmed/32775227
http://dx.doi.org/10.1016/j.mex.2020.101004
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author Diaz-Elsayed, Nancy
Zhang, Qiong
author_facet Diaz-Elsayed, Nancy
Zhang, Qiong
author_sort Diaz-Elsayed, Nancy
collection PubMed
description Life cycle assessments (LCAs) follow the ISO 14040 standard and consist of the following steps: 1) goal and scope definition, 2) life cycle inventory analysis, 3) life cycle impact assessment, and 4) interpretation. Prior literature reviews of wastewater treatment and water reuse LCAs have evaluated the methods implemented within these assessments. In lieu of manually tabulating the characteristic features of LCAs, Data Mining LCAs provides a method to facilitate the extraction of key characteristics. The process consists of the following: • Each journal article is converted to a text file and read in Python. • Search terms are defined for each characteristic of the LCA to be extracted. • By employing Python's regular expressions operations and the natural language toolkit (NLTK), the functional unit, life cycle impact characterization method, and the location of each case study are identified.
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spelling pubmed-73992382020-08-06 Extracting the characteristics of life cycle assessments via data mining Diaz-Elsayed, Nancy Zhang, Qiong MethodsX Engineering Life cycle assessments (LCAs) follow the ISO 14040 standard and consist of the following steps: 1) goal and scope definition, 2) life cycle inventory analysis, 3) life cycle impact assessment, and 4) interpretation. Prior literature reviews of wastewater treatment and water reuse LCAs have evaluated the methods implemented within these assessments. In lieu of manually tabulating the characteristic features of LCAs, Data Mining LCAs provides a method to facilitate the extraction of key characteristics. The process consists of the following: • Each journal article is converted to a text file and read in Python. • Search terms are defined for each characteristic of the LCA to be extracted. • By employing Python's regular expressions operations and the natural language toolkit (NLTK), the functional unit, life cycle impact characterization method, and the location of each case study are identified. Elsevier 2020-07-22 /pmc/articles/PMC7399238/ /pubmed/32775227 http://dx.doi.org/10.1016/j.mex.2020.101004 Text en © 2020 The Author(s). Published by Elsevier B.V. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering
Diaz-Elsayed, Nancy
Zhang, Qiong
Extracting the characteristics of life cycle assessments via data mining
title Extracting the characteristics of life cycle assessments via data mining
title_full Extracting the characteristics of life cycle assessments via data mining
title_fullStr Extracting the characteristics of life cycle assessments via data mining
title_full_unstemmed Extracting the characteristics of life cycle assessments via data mining
title_short Extracting the characteristics of life cycle assessments via data mining
title_sort extracting the characteristics of life cycle assessments via data mining
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399238/
https://www.ncbi.nlm.nih.gov/pubmed/32775227
http://dx.doi.org/10.1016/j.mex.2020.101004
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