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231.
Suwei Zhang Qijie Zhang Armand Albergel Didier Buty Liangmin Yu Haiting Wang Wuxia Bi Peng Cheng Fu Chen Jun Fang Ruirui Hou Xudong Luan Changgan Shu Jingjing Su 《环境科学学报(英文版)》2018,30(9):119-126
Particulate matter(PM) in the Kunshan High-Tech zone is studied during a three-month campaign. PM and trace elements are measured by the online pollution monitoring, forecastwarning and source term retrieval system AS3. Hourly measured concentrations of PM_(10), PM_(2.5) and 16 trace elements in the PM_(2.5) section(Ca, Pb, Cu, Cl, V, Cr, Fe, Ti, Mn, Ni, Zn, Ga, As, Se, Sr, Ba)are focused. Source apportionment of trace elements by Positive Matrix Factorization modeling indicates that there are five major sources, including dust, industrial processing, traffic,combustion, and sea salt with contribution rate of 23.68%, 21.66%, 14.30%, 22.03%, and 6.89%,respectively. Prediction of plume dispersion from concrete plant and traffic emissions shows that PM_(10) pollution of concrete plant is three orders of magnitude more than that of the traffic. The influence range can extend to more than 3 km in 1 hr. Because the footprint of the industrial plumes is constantly moving according to the local meteorological conditions, the fixed monitoring sites scattered in a few hundred meters haven't captured the heaviest pollution plume at the local scale of a few km~2. As a more intensive monitoring network is not operationally possible, the use of online modeling gives accurate and quantitative information of plume location, which increases the spatial pollution monitoring capacity and improves the understanding of measurement data. These results indicate that the development of the AS3 system, which combines monitoring equipment and air pollution modeling systems, is beneficial to the real-time pollution monitoring in the industrial zone. 相似文献
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Volatile organic compounds (VOCs) are a kind of important precursors for ozone photochemical formation. In this study, VOCs were measured from November 5th, 2013 to January 6th, 2014 at the Second Jinshan Industrial Area, Shanghai, China. The results showed that the measured VOCs were dominated by alkanes (41.8%), followed by aromatics (20.1%), alkenes (17.9%), and halo-hydrocarbons (12.5%). The daily trend of the VOC concentration showed a bimodal feature due to the rush-hour traffic in the morning and at nightfall. Based on the VOC concentration, a receptor model of Positive Matrix Factorization (PMF) coupled with the information related to VOC sources was applied to identify the major VOC emissions. The result showed five major VOC sources: solvent use and industrial processes were responsible for about 30% of the ambient VOCs, followed by rubber chemical industrial emissions (23%), refinery and petrochemical industrial emissions (21%), fuel evaporations (13%) and vehicular emissions (13%). The contribution of generalized industrial emissions was about 74% and significantly higher than that made by vehicle exhaust. Using a propylene-equivalent method, alkenes displayed the highest concentration, followed by aromatics and alkanes. Based on a maximum incremental reactivity (MIR) method, the average hourly ozone formation potential (OFP) of VOCs is 220.49?ppbv. The most significant source for ozone chemical formation was identified to be rubber chemical industrial emissions, following one by vehicular emission. The data shown herein may provide useful information to develop effective VOC pollution control strategies in industrialized area. 相似文献
233.
Ci Zhang Xiaohui Lu Jinghao Zhai Hong Chen Xin Yang Qi Zhang Qianbiao Zhao Qingyan Fu Fei Sh Jing Jin 《环境科学学报(英文版)》2018,30(10):118-132
To investigate formation mechanisms of secondary organic carbon(SOC) in Eastern China,measurements were conducted in an urban site in Shanghai in the summer of 2015. A period of high O_3 concentrations(daily peak 120 ppb) was observed, during which daily maximum SOC concentrations exceeding 9.0 μg/(C·m~3). Diurnal variations of SOC concentration and SOC/organic carbon(OC) ratio exhibited both daytime and nighttime peaks. The SOC concentrations correlated well with O_x(= O_3+ NO_2) and relative humidity in the daytime and nighttime, respectively, suggesting that secondary organic aerosol formation in Shanghai is driven by both photochemical production and aqueous phase reactions. Single particle mass spectrometry was used to examine the formation pathways of SOC. Along with the daytime increase of SOC, the number fraction of elemental carbon(EC) particles coated with OC quickly increased from 38.1% to 61.9% in the size range of 250–2000 nm, which was likely due to gas-to-particle partitioning of photochemically generated semi-volatile organic compounds onto EC particles. In the nighttime, particles rich in OC components were highly hygroscopic, and number fraction of these particles correlated well with relative humidity and SOC/OC nocturnal peaks. Meanwhile, as an aqueous-phase SOC tracer, particles that contained oxalate-Fe(III) complex also peaked at night. These observations suggested that aqueous-phase processes had an important contribution to the SOC nighttime formation. The influence of aerosol acidity on SOC formation was studied by both bulk and single particle level measurements, suggesting that the aqueous-phase formation of SOC was enhanced by particle acidity. 相似文献
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为研究煤炭开采对生态系统功能的胁迫作用,基于系统动力学原理构建一般情况下煤炭开采对生态系统功能胁迫作用的系统动力学模型,分析不同情境下煤炭开采对生态系统功能的胁迫作用特征,并以淮河流域典型煤炭资源型城市——淮南市为例进行实证研究. 结果表明:煤炭开采对生态系统功能有胁迫作用,政府是重要影响因素;不同情境下煤炭开采对生态系统功能的胁迫作用不同,表现为情境一(理想状态)<情境二(良性状态)<情境三(一般状态)<情境四(停滞状态)<情境五(糟糕状态);生态治理投资系数和煤炭开采技术投资系数的比值越大,则煤炭开采对生态系统功能的胁迫作用越小. 实证结果通过有效性检验,表明该研究建立的系统动力学模型具有可靠性. 当前淮南市生态治理投资和煤炭开采技术投资的比值为0.511,表明淮南市生态系统功能系统和煤炭开采系统处于一般状态. 研究显示,政府在维持生态系统功能稳态中发挥着一定作用. 煤炭开采对生态系统功能的胁迫作用特征:当生态治理投资系数和煤炭开采技术投资系数的比值为0时,生态系统功能系统和煤炭开采系统处于糟糕状态;当比值为(0,1)时,处于一般状态;当比值为1时,处于良性状态;当比值大于1时,两大系统进入理想状态. 相似文献
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高压电晕-臭氧协同作用处理难降解有机废水技术进展 总被引:5,自引:1,他引:4
利用高压电晕-臭氧的协同作用来处理废水是一项新技术。高压电晕和臭氧均能在水溶液中产生·OH。·OH能无选择地氧化有机污染物如苯乙酮、石炭酸、对氯苯酚等,处理效率高、无二次污染。高压电晕产生的紫外线和高能电子能促进臭氧产生·O和·OH,臭氧气泡的局部放电使电晕产生更多的·OH,二者联用具有很好的协同性。因此该技术在难降解有机废水的处理方面具有较大的优越性。 相似文献