共 56 条
Spatiotemporal Patterns and Regional Transport of Ground-Level Ozone in Major Urban Agglomerations in China
被引:11
作者:
Liu, Xiaoyong
[1
,2
]
Zhao, Chengmei
[1
,2
]
Niu, Jiqiang
[1
,2
]
Su, Fangcheng
[3
]
Yao, Dan
[4
]
Xu, Feng
[1
,2
]
Yan, Junhui
[1
,2
]
Shen, Xinzhi
[5
]
Jin, Tao
[5
]
机构:
[1] Xinyang Normal Univ, Sch Geog Sci, Xinyang 464000, Peoples R China
[2] Xinyang Normal Univ, Henan Key Lab Synergist Prevent Water & Soil Envi, Xinyang 464000, Peoples R China
[3] Zhengzhou Univ, Coll Chem & Mol Engn, Zhengzhou 450001, Peoples R China
[4] Henan Normal Univ, Key Lab Yellow River & Huai River Water Environm, Minist Educ, Sch Environm, Xinxiang 453007, Henan, Peoples R China
[5] Xinyang Ecol Environm Monitoring Ctr, Xinyang 464000, Peoples R China
来源:
基金:
中国国家自然科学基金;
关键词:
ozone;
spatiotemporal patterns;
potential sources;
Chinese major urban agglomeration;
RIVER DELTA REGION;
SOURCE APPORTIONMENT;
PARTICULATE MATTER;
CHEMICAL CHARACTERISTICS;
TEMPORAL DISTRIBUTION;
PREMATURE MORTALITY;
POLLUTION EPISODES;
POTENTIAL SOURCES;
SURFACE OZONE;
PM2.5;
D O I:
10.3390/atmos13020301
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Ground-level ozone (O-3) pollution has become a serious environmental issue in major urban agglomerations in China. To investigate the spatiotemporal patterns and regional transports of O-3 in Beijing-Tianjin-Hebei (BTH-UA), the Yangtze River Delta (YRD-UA), the Triangle of Central China (TC-UA), Chengdu-Chongqing (CY-UA), and the Pearl River Delta urban agglomeration (PRD-UA), multiple transdisciplinary methods were employed to analyze the O-3-concentration data that were collected from national air quality monitoring networks operated by the China National Environmental Monitoring Center (CNEMC). It was found that although ozone concentrations have decreased in recent years, ozone pollution is still a serious issue in China. O-3 exhibited different spatiotemporal patterns in the five urban agglomerations. In terms of monthly variations, O-3 had a unimodal structure in BTH-UA but a bimodal structure in the other urban agglomerations. The maximum O-3 concentration was in autumn in PRD-UA, but in summer in the other urban agglomerations. In spatial distribution, the main distribution of O-3 concentration was aligned in northeast-southwest direction for BTH-UA and CY-UA, but in northwest-southeast direction for YRD-UA, TC-UA, and PRD-UA. O-3 concentrations exhibited positive spatial autocorrelations in BTH-UA, YRD-UA, and TC-UA, but negative spatial autocorrelations in CY-UA and PRD-UA. Variations in O-3 concentration were more affected by weather fluctuations in coastal cities while the variations were more affected by seasonal changes in inland cities. O-3 transport in the center cities of the five urban agglomerations was examined by backward trajectory and potential source analyses. Local areas mainly contributed to the O-3 concentrations in the five cities, but regional transport also played a significant role. Our findings suggest joint efforts across cities and regions will be necessary to reduce O-3 pollution in major urban agglomerations in China.
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