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SO 2 Emissions in China – Their Network and Hierarchical Structures

View Article: PubMed Central - PubMed

ABSTRACT

SO2 emissions lead to various harmful effects on environment and human health. The SO2 emission in China has significant contribution to the global SO2 emission, so it is necessary to employ various methods to study SO2 emissions in China with great details in order to lay the foundation for policymaking to improve environmental conditions in China. Network analysis is used to analyze the SO2 emissions from power generation, industrial, residential and transportation sectors in China for 2008 and 2010, which are recently available from 1744 ground surface monitoring stations. The results show that the SO2 emissions from power generation sector were highly individualized as small-sized clusters, the SO2 emissions from industrial sector underwent an integration process with a large cluster contained 1674 places covering all industrial areas in China, the SO2 emissions from residential sector was not impacted by time, and the SO2 emissions from transportation sector underwent significant integration. Hierarchical structure is obtained by further combining SO2 emissions from all four sectors and is potentially useful to find out similar patterns of SO2 emissions, which can provide information on understanding the mechanisms of SO2 pollution and on designing different environmental measure to combat SO2 emissions.

No MeSH data available.


Network of SO2 emissions from residential sector in 2008 (upper panel) and 2010 (lower panel).(For details, see additional legends to Fig. 4 in Supplementary information files).
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f4: Network of SO2 emissions from residential sector in 2008 (upper panel) and 2010 (lower panel).(For details, see additional legends to Fig. 4 in Supplementary information files).

Mentions: Figure 4 describes the network of SO2 emissions from residential sector in 2008 (upper panel) and 2010 (lower panel). At first glance, time did not have great impact on the SO2 emissions from residential sector, because network analysis did not find great difference between 2008 and 2010, namely, people’s living style did not change too much in terms of SO2 emissions between 2008 and 2010.


SO 2 Emissions in China – Their Network and Hierarchical Structures
Network of SO2 emissions from residential sector in 2008 (upper panel) and 2010 (lower panel).(For details, see additional legends to Fig. 4 in Supplementary information files).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5384192&req=5

f4: Network of SO2 emissions from residential sector in 2008 (upper panel) and 2010 (lower panel).(For details, see additional legends to Fig. 4 in Supplementary information files).
Mentions: Figure 4 describes the network of SO2 emissions from residential sector in 2008 (upper panel) and 2010 (lower panel). At first glance, time did not have great impact on the SO2 emissions from residential sector, because network analysis did not find great difference between 2008 and 2010, namely, people’s living style did not change too much in terms of SO2 emissions between 2008 and 2010.

View Article: PubMed Central - PubMed

ABSTRACT

SO2 emissions lead to various harmful effects on environment and human health. The SO2 emission in China has significant contribution to the global SO2 emission, so it is necessary to employ various methods to study SO2 emissions in China with great details in order to lay the foundation for policymaking to improve environmental conditions in China. Network analysis is used to analyze the SO2 emissions from power generation, industrial, residential and transportation sectors in China for 2008 and 2010, which are recently available from 1744 ground surface monitoring stations. The results show that the SO2 emissions from power generation sector were highly individualized as small-sized clusters, the SO2 emissions from industrial sector underwent an integration process with a large cluster contained 1674 places covering all industrial areas in China, the SO2 emissions from residential sector was not impacted by time, and the SO2 emissions from transportation sector underwent significant integration. Hierarchical structure is obtained by further combining SO2 emissions from all four sectors and is potentially useful to find out similar patterns of SO2 emissions, which can provide information on understanding the mechanisms of SO2 pollution and on designing different environmental measure to combat SO2 emissions.

No MeSH data available.