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Developing chemical signatures of particulate air pollution in the Pearl River Delta region, China 被引量:3
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作者 Mei Zheng Yuan Cheng +1 位作者 Limin Zeng Yuanhang Zhang 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2011年第7期1143-1149,共7页
PM 2.5 samples were collected in a regional sampling network with three sites in Hong Kong and four sites in the adjacent inland Pearl River Delta (PRD) or Guangdong Province during four months/seasons from 2002–20... PM 2.5 samples were collected in a regional sampling network with three sites in Hong Kong and four sites in the adjacent inland Pearl River Delta (PRD) or Guangdong Province during four months/seasons from 2002–2003. Trans-boundary transport between Hong Kong and the inland PRD is inevitable under the influence of Asian monsoon. In summer, Hong Kong serves as the upwind site of the inland PRD while during other seasons it is under the influence of continental emissions. Previous studies have recognized the importance of using chemical signatures to differentiate local vs. regional contributions to air pollutants in Hong Kong such as the CO/NOx ratio, ratios of different VOC species. In this study, detailed chemical speciation by gas chromatography-mass spectrometry was performed with PM 2.5 samples to identify new chemical signatures to distinguish aerosols in Hong Kong from those from the inland PRD. Since Hong Kong is not influenced by the continental emissions from the inland PRD during summer, comparison focused on chemical data obtained from this season for chemical signatures. The new ratios developed from the current study include LCPI/HCPI ratio of alkanes (0.39 ± 0.02 in Hong Kong vs. 0.78 ± 0.08 in the inland PRD), pyrene to benzo[ghi]perylene ratio (0.97 ± 0.21 in Hong Kong compared to 0.20 ± 0.06 in the inland PRD), and the ratio of 1,2-benzenedioic acid to 1,4-benzenedioic acid (1.8 ± 0.1 in Hong Kong vs. 0.6 ± 0.05 in the inland PRD). Results from this study also revealed that Hong Kong was impacted by ship emissions as reflected by substantially high V/Ni ratio (9 ± 2) while this ratio was about 1–2 at all sites in the inland PRD, which is very close to typical ratios from residual oil combustion. 展开更多
关键词 PM 2.5 chemical signature local and regional air pollution Hong Kong Pearl River Delta
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Comparisons of two serious air pollution episodes in winter and summer in Beijing 被引量:2
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作者 Nianliang Cheng Yunting Li +4 位作者 Bingfen Cheng Xin Wang Fan Meng Qin Wang Qihong Qiu 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2018年第7期141-154,共14页
Characteristics of two serious air pollution episodes(9–15 January, as the winter case; and30 June to 1 July, as the summer case), which occurred in Beijing in 2013 were investigated and compared using multi-method... Characteristics of two serious air pollution episodes(9–15 January, as the winter case; and30 June to 1 July, as the summer case), which occurred in Beijing in 2013 were investigated and compared using multi-method observations and numerical simulations. During these two air pollution episodes, PM2.5 concentrations varied significantly within Beijing, with PM2.5 concentrations in southern parts of Beijing being significantly higher than in northern areas. Typically, heavy air pollution episodes begin in the southern parts and disperse towards the northern parts of Beijing. Clearly, synoptic patterns and the stability of atmospheric circulation patterns were the main factors controlling air pollution in Beijing.During the winter case, a warm center above 900 h Pa occurred over Beijing. Meanwhile, in the summer case, although there was only a weak inversion, the convective inhibition energy was strong(over 200 J/k G). This clearly influenced the duration of the air pollution event. Except for the local accumulation and secondary atmospheric reactions in both cases, regional straw burnings contributed a lot to the PM2.5 concentrations in summer case.Using the CAMxmodel, we established that regional transport contributed almost 59% to the PM2.5 averaged concentration in Beijing in the winter case, but only 31% in the summer case. Thus, the winter case was a typical regional air pollution episode, while the summer case resulted from local accumulation straw burnings transportation and strong secondary atmospheric reactions. Given that air pollution is a regional problem in China, consistent and simultaneous implementation of regional prevention and control strategies is necessary to improve regional air quality. 展开更多
关键词 air pollution episodes pm2.5 regional transport BEIJING Convective inhibition energy Straw burning
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浙江省一次细颗粒物重污染过程的区域协同减排效果评估
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作者 唐倩 金玲玲 +4 位作者 徐圣辰 王晓元 徐冰烨 田旭东 江飞 《环境污染与防治》 CAS CSCD 北大核心 2023年第12期1763-1768,共6页
为评估浙江省一次细颗粒物(PM_(2.5))重污染过程的区域协同减排效果,利用本地化的WRF-CMAQ模型对2017年12月29日至2018年1月2日的PM_(2.5)污染过程进行了模拟。结果显示:(1)城市单独减排时,浙江省11个地市仅宁波市减排效果较好,其他地... 为评估浙江省一次细颗粒物(PM_(2.5))重污染过程的区域协同减排效果,利用本地化的WRF-CMAQ模型对2017年12月29日至2018年1月2日的PM_(2.5)污染过程进行了模拟。结果显示:(1)城市单独减排时,浙江省11个地市仅宁波市减排效果较好,其他地市减排效果都不理想,需要开展区域协同减排。(2)区域协同减排时,全省特别是污染较重的核心地市减排效果明显提升。(3)各地市减排效果与污染过程的气象条件、地理位置、产业分布有密切关系,开展重污染过程区域协同减排应根据实际情况进行分析,使减排方案具有针对性和可行性。 展开更多
关键词 细颗粒物 大气重污染 区域协同减排 精细化减排方案
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珠海西区空气中颗粒物(PM_(2.5))污染水平的初步研究 被引量:6
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作者 胡俊 陈斌 +2 位作者 赵博成 陈杏云 倪锡河 《环境卫生学杂志》 北大核心 2012年第3期108-111,共4页
目的监测分析珠海西区PM2.5污染水平。方法选择城乡固定监测点,以中流量采样器采集大气中的PM2.5,重量法测定,每个点采样3 d以上。结果珠海市西区PM2.5平均浓度为0.092 mg/m3;城区PM2.5平均浓度为0.10 mg/m3,乡村平均浓度为0.078 mg/m3,... 目的监测分析珠海西区PM2.5污染水平。方法选择城乡固定监测点,以中流量采样器采集大气中的PM2.5,重量法测定,每个点采样3 d以上。结果珠海市西区PM2.5平均浓度为0.092 mg/m3;城区PM2.5平均浓度为0.10 mg/m3,乡村平均浓度为0.078 mg/m3,(P>0.05);在交通繁忙路段(车流量>200辆/5 min)PM2.5平均浓度为0.13 mg/m3,非繁忙路段(车流量<200辆/5 min)平均浓度为0.084 mg/m3,(P<0.01);风速>0.5 m/s时,PM2.5平均浓度为0.054 mg/m3,风速<0.5 m/s时,PM2.5平均浓度为0.11 mg/m3,(P<0.01)。结论珠海市西区PM2.5污染水平较国内其他大城市低,但超过了美国和世界卫生组织的标准限值;城乡污染无显著性差异;交通繁忙路段明显高于非繁忙路段;风速提高时,污染水平显著降低。 展开更多
关键词 pm2.5 空气污染 珠海西区
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Trends in particulate matter and its chemical compositions in China from 2013–2017 被引量:30
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作者 Yuesi WANG Wenjie LI +13 位作者 Wenkang GAO Zirui LIU Shili TIAN Rongrong SHEN Dongsheng JI Shuai WANG Lili WANG Guiqian TANG Tao SONG Mengtian CHENG Gehui WANG Zhengyu GONG Jiming HAO Yuanhang ZHANG 《Science China Earth Sciences》 SCIE EI CAS CSCD 2019年第12期1857-1871,共15页
Accurate determination of the atmospheric particulate matter mass concentration and chemical composition is helpful in exploring the causes and sources of atmospheric enthalpy pollution and in evaluating the rationali... Accurate determination of the atmospheric particulate matter mass concentration and chemical composition is helpful in exploring the causes and sources of atmospheric enthalpy pollution and in evaluating the rationality of environmental air quality control strategies.Based on the sampling and chemical composition data of PM2.5 in different key regions of China in the CARE-China observation network,this research analyzes the environmental air quality data released by the China National Environmental Monitoring Centre during the studied period to determine the changes in the particulate matter mass concentration in key regions and the evolution of the corresponding chemical compositions during the implementation of the Action Plan for Prevention and Control of Air Pollution from 2013-2017.The results show the following.(1)The particulate matter mass concentration in China showed a significant downward trend;however,the PM2.5 annual mass concentration in 64%of cities exceeds the New Chinese Ambient Air Quality Standard(CAAQS)GradeⅡ(GB3095-2012).The region to the east of the Taihang Mountains,the Fenhe and Weihe River Plain and the Urumqi-Changji regions in Xinjiang,all have PM2.5 concentration loading that is still high,and heavy haze pollution occurred frequently in the autumn and winter.(2)During the heavy pollution in the autumn and winter,the concentrations of sulfate and organic components decreased significantly.The mean SO42-concentration in PM2.5 decreased by 76%,12%,81%and 38%in Beijing-Tianjin-Hebei(BTH),the Pearl River Delta(PRD),the Sichuan-Chongqing region(SC)and the Fenhe and Weihe River Plain,respectively.The mean organic matter(OM)concentration decreased by 70%,44%,48%and 31%,respectively,and the mean concentration of NH4+decreased by 68%,1.6%,38%and 25%,respectively.The mean elemental carbon(EC)concentration decreased by 84%and 20%in BTH and SC,respectively,and it increased by 61%and 11%in the PRD and Fenhe and Weihe River Plain,respectively.The mean concentration of mineral and unresolved chemical components(MI)dropped by 70%,24%and 13%in BTH,the PRD and the Fenhe and Weihe River Plain,respectively.The change in the PM2.5 chemical composition is consistent with the decrease of the PM2.5mass concentration.(3)In 2015,the mean OM concentration contributions to fine particles and coarse particles were 13-46%and 46-57%,respectively,and the mean MI concentration contributions to fine particles and coarse and particles were 31-60%and 39-73%,respectively;these values are lower than the 2013 values from the key regions,which is the most important factor behind the decrease of the particulate matter mass concentration.From 2013 to 2015,among the chemical components of different particle size fractions,the peak value of the coarse particle size fraction decreased significantly,and the fine particle size fractions of SO42-,NO3-,and NH4+decreased with the decrease of the particulate matter mass concentration in different particle size fractions.The fine-particle size peaks of SO42-,NO3-and NH4+shifted from 0.65-1.1μm to the finer size range of0.43-0.65μm during the same time frame. 展开更多
关键词 pm2.5 Action PLAN for PREVENTION and Control of air pollution Key regionS Chemical composition Particle size distribution Variation characteristics
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