Ji Zhang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Ji Zhang has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Chao Wang
Institute of Information Science and Technology, Shandong Normal University, Ji’nan 250014, China
1 shared publication - Houfeng Liu
College of Geography and Environment, Shandong Normal University, No. 88 Wenhua Road East, Jinan 250014, China
1 shared publication - Jiewei Ding
College of Geography and Environment, Shandong Normal University, Ji’nan 250014, China
1 shared publication - Kai Qu
Shandong Provincial Eco-Environment Monitoring Center, Jinan 250101, China
1 shared publication - Min Wei
College of Geography and Environment, Shandong Normal University, Ji'nan 250014, China
1 shared publication - Yiqun Shang
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
1 shared publication
Latest Publications
- Open Access
- 27 August 2019
- Published by MDPI AG in Atmosphere
- Vol. 10 (9) , 501
Characteristics of Ozone Pollution, Regional Distribution and Causes during 2014–2018 in Shandong Province, East China
The summer ozone pollution of Shandong province has become a severe problem in the period 2014–2018. Affected by the monsoon climate, the monthly average ozone concentrations in most areas were unimodal, with peaks in June, whereas in coastal areas the concentrations were bimodal, with the highest peak in May and the second highest peak in September. Using the empirical orthogonal function method, three main spatial distribution patterns were found. The most important pattern proved the influences of solar radiation, temperature, and industrial structure on ozone. Spatial clustering analysis of the ozone concentration showed Shandong divided into five units, including Peninsula Coastal area (PC), Lunan inland area (LN), Western Bohai area (WB), Luxi plain area (LX), and Luzhong mountain area (LZ). Influenced by air temperature and local circulation, coastal cities had lower daytime and higher nighttime ozone concentrations than inland. Correlation analysis suggested that ozone concentrations were significantly positively correlated with solar radiation. The VOCs from industries or other sources (e.g., traffic emission, petroleum processing, and chemical industries) had high positive correlations with ozone concentrations, whereas NOx emissions had significantly negatively correlation. This study provides a comprehensive understanding of ozone pollution and theoretical reference for regional management of ozone pollution in Shandong province.
- 27 August 2019
- Published by MDPI AG in Atmosphere
- Vol. 10 (9) , 501
Open AccessCharacteristics of Ozone Pollution, Regional Distribution and Causes during 2014–2018 in Shandong Province, East China
The summer ozone pollution of Shandong province has become a severe problem in the period 2014–2018. Affected by the monsoon climate, the monthly average ozone concentrations in most areas were unimodal, with peaks in June, whereas in coastal areas the concentrations were bimodal, with the highest peak in May and the second highest peak in September. Using the empirical orthogonal function method, three main spatial distribution patterns were found. The most important pattern proved the influences of solar radiation, temperature, and industrial structure on ozone. Spatial clustering analysis of the ozone concentration showed Shandong divided into five units, including Peninsula Coastal area (PC), Lunan inland area (LN), Western Bohai area (WB), Luxi plain area (LX), and Luzhong mountain area (LZ). Influenced by air temperature and local circulation, coastal cities had lower daytime and higher nighttime ozone concentrations than inland. Correlation analysis suggested that ozone concentrations were significantly positively correlated with solar radiation. The VOCs from industries or other sources (e.g., traffic emission, petroleum processing, and chemical industries) had high positive correlations with ozone concentrations, whereas NOx emissions had significantly negatively correlation. This study provides a comprehensive understanding of ozone pollution and theoretical reference for regional management of ozone pollution in Shandong province.