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Research on PM(2.5) concentration based on dissipative structure theory: a case study of Xi’an, China
PM(2.5) pollution has become a serious urban environmental problem, especially in developing countries with increasing urbanization. Understanding the proportion of PM(2.5) generation sources has laid a foundation for better PM(2.5) concentration reduction This paper used Point of Interesting (POI)d...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532442/ https://www.ncbi.nlm.nih.gov/pubmed/33009459 http://dx.doi.org/10.1038/s41598-020-73598-9 |
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author | Sun, Xiaoke Chen, Hong Liu, Zhizhen Chen, Hengrui |
author_facet | Sun, Xiaoke Chen, Hong Liu, Zhizhen Chen, Hengrui |
author_sort | Sun, Xiaoke |
collection | PubMed |
description | PM(2.5) pollution has become a serious urban environmental problem, especially in developing countries with increasing urbanization. Understanding the proportion of PM(2.5) generation sources has laid a foundation for better PM(2.5) concentration reduction This paper used Point of Interesting (POI)data, building profile data of Xi’an, PM(2.5) concentration and wind monitoring data of five provinces near Xi’an as the basic data. And this paper studied the spatial distribution of various buildings in Xi’an, the temporal and spatial distribution of PM(2.5) in Xi’an and the five provinces, and found that the spatial distribution of PM(2.5) concentration in Xi’an and the building distribution in Xi’an does not match. Based on this, a quantitative model of PM(2.5) concentration in Xi’an, energy consumption, wind, and other factors is established through the qualitative and quantitative analysis of PM(2.5) concentration in Xi’an. Entropy theory and dissipative structure theory are applied to analyze this phenomenon. The results show PM(2.5) in Xi’an mainly comes from the spread of PM(2.5) in the five provinces. The PM(2.5) generated by energy consumption in Xi’an is not enough to cause serious PM(2.5) pollution. And further suggestions on how to reduce PM(2.5) concentration in Xi’an are put forward. |
format | Online Article Text |
id | pubmed-7532442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75324422020-10-06 Research on PM(2.5) concentration based on dissipative structure theory: a case study of Xi’an, China Sun, Xiaoke Chen, Hong Liu, Zhizhen Chen, Hengrui Sci Rep Article PM(2.5) pollution has become a serious urban environmental problem, especially in developing countries with increasing urbanization. Understanding the proportion of PM(2.5) generation sources has laid a foundation for better PM(2.5) concentration reduction This paper used Point of Interesting (POI)data, building profile data of Xi’an, PM(2.5) concentration and wind monitoring data of five provinces near Xi’an as the basic data. And this paper studied the spatial distribution of various buildings in Xi’an, the temporal and spatial distribution of PM(2.5) in Xi’an and the five provinces, and found that the spatial distribution of PM(2.5) concentration in Xi’an and the building distribution in Xi’an does not match. Based on this, a quantitative model of PM(2.5) concentration in Xi’an, energy consumption, wind, and other factors is established through the qualitative and quantitative analysis of PM(2.5) concentration in Xi’an. Entropy theory and dissipative structure theory are applied to analyze this phenomenon. The results show PM(2.5) in Xi’an mainly comes from the spread of PM(2.5) in the five provinces. The PM(2.5) generated by energy consumption in Xi’an is not enough to cause serious PM(2.5) pollution. And further suggestions on how to reduce PM(2.5) concentration in Xi’an are put forward. Nature Publishing Group UK 2020-10-02 /pmc/articles/PMC7532442/ /pubmed/33009459 http://dx.doi.org/10.1038/s41598-020-73598-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Sun, Xiaoke Chen, Hong Liu, Zhizhen Chen, Hengrui Research on PM(2.5) concentration based on dissipative structure theory: a case study of Xi’an, China |
title | Research on PM(2.5) concentration based on dissipative structure theory: a case study of Xi’an, China |
title_full | Research on PM(2.5) concentration based on dissipative structure theory: a case study of Xi’an, China |
title_fullStr | Research on PM(2.5) concentration based on dissipative structure theory: a case study of Xi’an, China |
title_full_unstemmed | Research on PM(2.5) concentration based on dissipative structure theory: a case study of Xi’an, China |
title_short | Research on PM(2.5) concentration based on dissipative structure theory: a case study of Xi’an, China |
title_sort | research on pm(2.5) concentration based on dissipative structure theory: a case study of xi’an, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532442/ https://www.ncbi.nlm.nih.gov/pubmed/33009459 http://dx.doi.org/10.1038/s41598-020-73598-9 |
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