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Source Contributions to PM2.5 under Unfavorable Weather Conditions in Guangzhou City, China
被引:20
作者:
Wang, Nan
[1
]
Ling, Zhenhao
[2
]
Deng, Xuejiao
[1
]
Deng, Tao
[1
]
Lyu, Xiaopu
[3
]
Li, Tingyuan
[4
]
Gao, Xiaorong
[5
]
Chen, Xi
[6
]
机构:
[1] China Meteorol Adm, Inst Trop & Marine Meteorol, Guangzhou 510000, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou 510000, Guangdong, Peoples R China
[3] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong 999077, Hong Kong, Peoples R China
[4] Guangdong Prov Meteorol Bur, Ecol Meteorol Ctr, Guangzhou 510000, Guangdong, Peoples R China
[5] Guangzhou Meteorol Observ, Guangzhou 510000, Guangdong, Peoples R China
[6] Sun Yat Sen Univ, Sch Environm Sci & Engn, Guangzhou 510000, Guangdong, Peoples R China
基金:
国家重点研发计划;
中国国家自然科学基金;
关键词:
WRF;
Community Multiscale Air Quality model;
source contribution;
unfavorable weather system;
fine particulate matter;
PEARL RIVER DELTA;
POLYCYCLIC AROMATIC-HYDROCARBONS;
SOURCE APPORTIONMENT;
AIR-POLLUTION;
HONG-KONG;
OZONE FORMATION;
SOUTHERN CHINA;
HAZE EVENTS;
VISIBILITY;
AEROSOLS;
D O I:
10.1007/s00376-018-7212-9
中图分类号:
P4 [大气科学(气象学)];
学科分类号:
0706 ;
070601 ;
摘要:
Historical haze episodes (2013-16) in Guangzhou were examined and classified according to synoptic weather systems. Four types of weather systems were found to be unfavorable, among which "foreside of a cold front" (FC) and "sea high pressure" (SP) were the most frequent (> 75% of the total). Targeted case studies were conducted based on an FC-affected event and an SP-affected event with the aim of understanding the characteristics of the contributions of source regions to fine particulate matter (PM2.5) in Guangzhou. Four kinds of contributions-namely, emissions outside Guangdong Province (super-region), emissions from the Pearl River Delta region (PRD region), emissions from Guangzhou-Foshan-Shenzhen (GFS region), and emissions from Guangzhou (local)-were investigated using the Weather Research and Forecasting-Community Multiscale Air Quality model. The results showed that the source region contribution differed with different weather systems. SP was a stagnant weather condition, and the source region contribution ratio showed that the local region was a major contributor (37%), while the PRD region, GFS region and the super-region only contributed 8%, 2.8% and 7%, respectively, to PM2.5 concentrations. By contrast, FC favored regional transport. The super-region became noticeable, contributing 34.8%, while the local region decreased to 12%. A simple method was proposed to quantify the relative impact of meteorology and emissions. Meteorology had a 35% impact, compared with an impact of -18% for emissions, when comparing the FC-affected event with that of the SP. The results from this study can provide guidance to policymakers for the implementation of effective control strategies.
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页码:1145 / 1159
页数:15
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