التفاصيل البيبلوغرافية
| العنوان: |
[Source Apportionment and Pollution Characteristics of PM 2.5 During the Two Heavy Pollution Episodes in the Winter of 2016 in a Typical Logistics City]. |
| المؤلفون: |
Zhao XY; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China., Yang W; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China., Wang J; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China., Liu YY; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China., Bai WY; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China., Xu YP; Linyi Environmental Monitoring Station, Linyi 276000, China., Wang XH; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China., Bai ZP; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. |
| المصدر: |
Huan jing ke xue= Huanjing kexue [Huan Jing Ke Xue] 2019 Mar 08; Vol. 40 (3), pp. 1052-1061. |
| نوع المنشور: |
English Abstract; Journal Article |
| اللغة: |
Chinese |
| بيانات الدورية: |
Publisher: Ke xue zhu ban she Country of Publication: China NLM ID: 8405344 Publication Model: Print Cited Medium: Print ISSN: 0250-3301 (Print) Linking ISSN: 02503301 NLM ISO Abbreviation: Huan Jing Ke Xue Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: |
Original Publication: Beijing : Ke xue zhu ban she, |
| مستخلص: |
To characterize the chemical composition of PM 2.5 and the formation of pollution during a heavy pollution episode in the winter in a typical logistics city, PM 2.5 samples were collected from December 2016 to January 2017 at six sampling sites, and the water-soluble ions, elements, and carbon components were determined. The results showed that the average concentration of PM 2.5 was (145.2±87.8) μg·m -3 during the whole sampling period, of which 82% of daily average concentrations were above class Ⅱ of the national standards. The average concentrations of PM 2.5 during the two heavy pollution episodes were (187.3±79.8) and (205.3±92.0) μg·m -3 , which were 5.4 and 5.9 times, respectively, as high as class Ⅱ of the national standard. The results of the chemical composition of the PM 2.5 showed that secondary water-soluble inorganic ions (SO 4 2- , NO 3 - , and NH 4 + ) were the main components of PM 2.5 in winter (51.2% of PM 2.5 mass concentration), followed by organic matter (OM, 23.8%), and mineral dust (12.7%). Combined with the change trend and accumulation rate of chemical components during the pollution episode, we discovered that the increasing of SNA and OM led to PM 2.5 pollution in the first episode, while the growth of SNA caused the second pollution episode. This was further verified by the synchronous change of SOR, NOR, and the OC/EC ratio. PMF analysis indicated that mixed sources of secondary particulate matter and biomass combustion (50.0%), coal combustion (16.8%), vehicles (12.9%), fugitive dust (10.0%), industry (5.3%) and soil dust (5.0%), were the main sources of PM 2.5 of Linyi city in the winter. Compared with the average concentration over the whole sampling period, the contribution of secondary particles during the two pollution episodes was significantly increased. This indicates that the formation and accumulation of secondary particulate matter under static and humid meteorological conditions were the main influencing factors during the heavy pollution episodes. |
| فهرسة مساهمة: |
Keywords: PM2.5; heavy pollution episode; logistics city; positive matrix factorization (PMF); secondary particulate matter |
| تواريخ الأحداث: |
Date Created: 20190516 Latest Revision: 20191120 |
| رمز التحديث: |
20221213 |
| DOI: |
10.13227/j.hjkx.201806191 |
| PMID: |
31087951 |
| قاعدة البيانات: |
MEDLINE |
