Highly time-resolved measurements of elements in PM2.5 in Changzhou, China: Temporal variation, source identification and health risks

被引:12
作者
Yi, Yanan [1 ,2 ]
Li, Qing [1 ,2 ]
Zhang, Kun [1 ,2 ]
Li, Rui [1 ,2 ]
Yang, Liumei [1 ,2 ]
Liu, Zhiqiang [1 ,3 ]
Zhang, Xiaojuan [1 ,3 ]
Wang, Shunyao [1 ,2 ]
Wang, Yangjun [1 ,2 ]
Chen, Hui [1 ,2 ]
Huang, Ling [1 ,2 ]
Yu, Jian Zhen [4 ,5 ]
Li, Li [1 ,2 ]
机构
[1] Shanghai Univ, Sch Environm & Chem Engn, Shanghai 200444, Peoples R China
[2] Shanghai Univ, Key Lab Organ Cpd Pollut Control Engn MOE, Shanghai, Peoples R China
[3] Jiangsu Changhuan Environm Technol Co Ltd, Changzhou 213002, Peoples R China
[4] Hong Kong Univ Sci & Technol, Dept Chem, Hong Kong, Peoples R China
[5] Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Elements; Source apportionment; Health risks; PM25; SOURCE APPORTIONMENT; TRACE-ELEMENTS; HEAVY-METALS; CHEMICAL-CHARACTERIZATION; PARTICULATE MATTER; RIVER DELTA; DELHI; PM10; FINE; PARTICLES;
D O I
10.1016/j.scitotenv.2022.158450
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The temporal variation, sources, and health risks of elemental composition in fine particles (PM2.5) were explored using online measurements of 19 elements with a time resolution of 1 h at an urban location in Changzhou, China, from December 10, 2020 to March 31, 2021. The mass concentration of PM2.5 was 50.1 +/- 32.6 mu g m-3, with a range of 3-218 mu g m-3. The total concentration of 19 elements (2568 +/- 1839 ng m-3) accounted for 5.1 % of PM2.5 mass concentration. S, Cl, Si, and Fe were the dominant elementary species, accounting for 90 % of total element mass concentrations during the whole campaign. Positive matrix factorization (PMF) model was applied to identify the major emission sources of elements in PM2.5. Seven factors, named secondary sulfate mixed with coal combustion, Clrich, traffic, iron and steel industry, soil dust, fireworks, and shipping, were identified. The major sources for elements were iron and steel industry, followed by soil dust and secondary sulfate mixed with coal combustion, explaining 32.0 %, 23.5 % and 16.7 % of the total source contribution, respectively. The total hazard index (HI) of elements was 3.01 for children and 1.18 for adults, much greater than the admissible level (HI = 1). The total carcinogenic risk (CR) in Changzhou was estimated to be 5.87 x 10-5, which was above the acceptable CR level (1 x 10-6). Among the calculated metal elements, Cr, Co and As have higher carcinogenic risk, and Co was found to trigger the highest noncarcinogenic risk to Children. Our results indicate that industrial emission is the dominant CR contributor, emphasizing the necessity for stringent regulation of industry sources. Overall, our study provides useful information for policymakers to reduce emissions and health risks from elements in the Yangtze River Delta region.
引用
收藏
页数:10
相关论文
共 61 条
[1]   Influence of Different Urban Structures on Metal Contamination in Two Metropolitan Cities [J].
Alharbi, Bath H. ;
Pasha, Mohammad J. ;
Al-Shamsi, Mohammed Ahmad S. .
SCIENTIFIC REPORTS, 2019, 9 (1)
[2]  
[Anonymous], 2011, EXPOSURE FACTORS HDB
[3]  
[Anonymous], 2021, Who global air quality guidelines
[4]   Characteristics and source apportionment of non-polar organic compounds in PM2.5 from the three megacities in Yangtze River Delta region, China [J].
Cao, Fang ;
Zhang, Yi-Xuan ;
Lin, Xin ;
Zhang, Yan-Lin .
ATMOSPHERIC RESEARCH, 2021, 252
[5]   First long-term and near real-time measurement of trace elements in China's urban atmosphere: temporal variability, source apportionment and precipitation effect [J].
Chang, Yunhua ;
Huang, Kan ;
Xie, Mingjie ;
Deng, Congrui ;
Zou, Zhong ;
Liu, Shoudong ;
Zhang, Yanlin .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2018, 18 (16) :11793-11812
[6]   Elucidating the responses of highly time-resolved PM2.5 related elements to extreme emission reductions [J].
Cheng, Kai ;
Chang, Yunhua ;
Kuang, Yaqiong ;
Khan, Rehana ;
Zou, Zhong .
ENVIRONMENTAL RESEARCH, 2022, 206
[7]   Levels and sources of hourly PM2.5-related elements during the control period of the COVID-19 pandemic at a rural site between Beijing and Tianjin [J].
Cui, Yang ;
Ji, Dongsheng ;
Maenhaut, Willy ;
Gao, Wenkang ;
Zhang, Renjian ;
Wang, Yuesi .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 744
[8]   In situ continuous observation of hourly elements in PM2.5 in urban beijing, China: Occurrence levels, temporal variation, potential source regions and health risks [J].
Cui, Yang ;
Ji, Dongsheng ;
He, Jun ;
Kong, Shaofei ;
Wang, Yuesi .
ATMOSPHERIC ENVIRONMENT, 2020, 222
[9]   Characteristics and Sources of Hourly Trace Elements in Airborne Fine Particles in Urban Beijing, China [J].
Cui, Yang ;
Ji, Dongsheng ;
Chen, Hui ;
Gao, Meng ;
Maenhaut, Willy ;
He, Jun ;
Wang, Yuesi .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (21) :11595-11613
[10]   Photochemical reaction of CO2 on atmospheric mineral dusts [J].
Deng, Yue ;
Liu, Yangyang ;
Wang, Tao ;
Cheng, Hanyun ;
Feng, Yiqing ;
Yang, Yang ;
Zhang, Liwu .
ATMOSPHERIC ENVIRONMENT, 2020, 223