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Prediction and Analysis of CO(2) Emission in Chongqing for the Protection of Environment and Public Health

Based on the consumption of fossil energy, the CO(2) emissions of Chongqing are calculated and analyzed from 1997 to 2015 in this paper. Based on the calculation results, the consumption of fossil fuels and the corresponding CO(2) emissions of Chongqing in 2020 are predicted, and the supporting data...

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Autores principales: Yang, Shuai, Wang, Yu, Ao, Wengang, Bai, Yun, Li, Chuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877075/
https://www.ncbi.nlm.nih.gov/pubmed/29547505
http://dx.doi.org/10.3390/ijerph15030530
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author Yang, Shuai
Wang, Yu
Ao, Wengang
Bai, Yun
Li, Chuan
author_facet Yang, Shuai
Wang, Yu
Ao, Wengang
Bai, Yun
Li, Chuan
author_sort Yang, Shuai
collection PubMed
description Based on the consumption of fossil energy, the CO(2) emissions of Chongqing are calculated and analyzed from 1997 to 2015 in this paper. Based on the calculation results, the consumption of fossil fuels and the corresponding CO(2) emissions of Chongqing in 2020 are predicted, and the supporting data and corresponding policies are provided for the government of Chongqing to reach its goal as the economic unit of low-carbon emission in the ‘13th Five-Year Plan’. The results of the analysis show that there is a rapid decreasing trend of CO(2) emissions in Chongqing during the ‘12th Five-Year Plan’, which are caused by the adjustment policy of the energy structure in Chongqing. Therefore, the analysis and prediction are primarily based on the adjustment of Chongqing’s coal energy consumption in this paper. At the initial stage, support vector regression (SVR) method is applied to predict the other fossil energy consumption and the corresponding CO(2) emissions of Chongqing in 2020. Then, with the energy intensity of 2015 and the official target of CO(2) intensity in 2020, the total fossil energy consumption and CO(2) emissions of Chongqing in 2020 are predicted respectively. By the above results of calculation, the coal consumption and its corresponding CO(2) emissions of Chongqing in 2020 are determined. To achieve the goal of CO(2) emissions of Chongqing in 2020, the coal consumption level and energy intensity of Chongqing are calculated, and the adjustment strategies for energy consumption structure in Chongqing are proposed.
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spelling pubmed-58770752018-04-09 Prediction and Analysis of CO(2) Emission in Chongqing for the Protection of Environment and Public Health Yang, Shuai Wang, Yu Ao, Wengang Bai, Yun Li, Chuan Int J Environ Res Public Health Article Based on the consumption of fossil energy, the CO(2) emissions of Chongqing are calculated and analyzed from 1997 to 2015 in this paper. Based on the calculation results, the consumption of fossil fuels and the corresponding CO(2) emissions of Chongqing in 2020 are predicted, and the supporting data and corresponding policies are provided for the government of Chongqing to reach its goal as the economic unit of low-carbon emission in the ‘13th Five-Year Plan’. The results of the analysis show that there is a rapid decreasing trend of CO(2) emissions in Chongqing during the ‘12th Five-Year Plan’, which are caused by the adjustment policy of the energy structure in Chongqing. Therefore, the analysis and prediction are primarily based on the adjustment of Chongqing’s coal energy consumption in this paper. At the initial stage, support vector regression (SVR) method is applied to predict the other fossil energy consumption and the corresponding CO(2) emissions of Chongqing in 2020. Then, with the energy intensity of 2015 and the official target of CO(2) intensity in 2020, the total fossil energy consumption and CO(2) emissions of Chongqing in 2020 are predicted respectively. By the above results of calculation, the coal consumption and its corresponding CO(2) emissions of Chongqing in 2020 are determined. To achieve the goal of CO(2) emissions of Chongqing in 2020, the coal consumption level and energy intensity of Chongqing are calculated, and the adjustment strategies for energy consumption structure in Chongqing are proposed. MDPI 2018-03-16 2018-03 /pmc/articles/PMC5877075/ /pubmed/29547505 http://dx.doi.org/10.3390/ijerph15030530 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Shuai
Wang, Yu
Ao, Wengang
Bai, Yun
Li, Chuan
Prediction and Analysis of CO(2) Emission in Chongqing for the Protection of Environment and Public Health
title Prediction and Analysis of CO(2) Emission in Chongqing for the Protection of Environment and Public Health
title_full Prediction and Analysis of CO(2) Emission in Chongqing for the Protection of Environment and Public Health
title_fullStr Prediction and Analysis of CO(2) Emission in Chongqing for the Protection of Environment and Public Health
title_full_unstemmed Prediction and Analysis of CO(2) Emission in Chongqing for the Protection of Environment and Public Health
title_short Prediction and Analysis of CO(2) Emission in Chongqing for the Protection of Environment and Public Health
title_sort prediction and analysis of co(2) emission in chongqing for the protection of environment and public health
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877075/
https://www.ncbi.nlm.nih.gov/pubmed/29547505
http://dx.doi.org/10.3390/ijerph15030530
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