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Greenhouse Gas Inventory of a Typical High-End Industrial Park in China

Global climate change caused by greenhouse gas (GHG) emissions, which severely limits the development of human society and threatens the survival of humanity, has drawn the international community's long-term attention. Gathering the most important production factors in the region, an industria...

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Autores principales: Chen, Bin, He, Guoxuan, Qi, Jing, Su, Meirong, Zhou, Shiyi, Jiang, Meiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3575617/
https://www.ncbi.nlm.nih.gov/pubmed/23431258
http://dx.doi.org/10.1155/2013/717054
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author Chen, Bin
He, Guoxuan
Qi, Jing
Su, Meirong
Zhou, Shiyi
Jiang, Meiming
author_facet Chen, Bin
He, Guoxuan
Qi, Jing
Su, Meirong
Zhou, Shiyi
Jiang, Meiming
author_sort Chen, Bin
collection PubMed
description Global climate change caused by greenhouse gas (GHG) emissions, which severely limits the development of human society and threatens the survival of humanity, has drawn the international community's long-term attention. Gathering the most important production factors in the region, an industrial park usually represents the development level of specific industries in the region. Therefore, the industrial park should be regarded as the base unit for developing a low-carbon economy and reducing GHG emissions. Focusing on a typical high-end industrial park in Beijing, we analyze the carbon sources within the system boundary and probe into the emission structure in view of life-cycle analysis. A GHG inventory is thereby set up to calculate all GHG emissions from the concerned park. Based on the results, suggestions are presented to guide the low-carbon development of the high-end industrial park.
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spelling pubmed-35756172013-02-21 Greenhouse Gas Inventory of a Typical High-End Industrial Park in China Chen, Bin He, Guoxuan Qi, Jing Su, Meirong Zhou, Shiyi Jiang, Meiming ScientificWorldJournal Research Article Global climate change caused by greenhouse gas (GHG) emissions, which severely limits the development of human society and threatens the survival of humanity, has drawn the international community's long-term attention. Gathering the most important production factors in the region, an industrial park usually represents the development level of specific industries in the region. Therefore, the industrial park should be regarded as the base unit for developing a low-carbon economy and reducing GHG emissions. Focusing on a typical high-end industrial park in Beijing, we analyze the carbon sources within the system boundary and probe into the emission structure in view of life-cycle analysis. A GHG inventory is thereby set up to calculate all GHG emissions from the concerned park. Based on the results, suggestions are presented to guide the low-carbon development of the high-end industrial park. Hindawi Publishing Corporation 2013-02-03 /pmc/articles/PMC3575617/ /pubmed/23431258 http://dx.doi.org/10.1155/2013/717054 Text en Copyright © 2013 Bin Chen et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Bin
He, Guoxuan
Qi, Jing
Su, Meirong
Zhou, Shiyi
Jiang, Meiming
Greenhouse Gas Inventory of a Typical High-End Industrial Park in China
title Greenhouse Gas Inventory of a Typical High-End Industrial Park in China
title_full Greenhouse Gas Inventory of a Typical High-End Industrial Park in China
title_fullStr Greenhouse Gas Inventory of a Typical High-End Industrial Park in China
title_full_unstemmed Greenhouse Gas Inventory of a Typical High-End Industrial Park in China
title_short Greenhouse Gas Inventory of a Typical High-End Industrial Park in China
title_sort greenhouse gas inventory of a typical high-end industrial park in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3575617/
https://www.ncbi.nlm.nih.gov/pubmed/23431258
http://dx.doi.org/10.1155/2013/717054
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