Particulate matter pollution in Kunshan High-Tech zone: Source apportionment with trace elements, plume evolution and its monitoring

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.     

Observation and analysis of atmospheric volatile organic compounds in a typical petrochemical area in Yangtze River Delta, China

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.     

Insights into the formation of secondary organic carbon in the summertime in urban Shanghai

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.     

Does planned retreat matter? Investigating land use change under the impacts of flooding induced by sea level rise

Coastal regions worldwide are during the process of rapid urban expansion. However, expanded urban settlements in land-sea interfaces have been faced with unprecedented threats from climate change related hazards. Adaptation to coastal hazards has received increasing attention from city managers and planners. Adaptation and land management practices are largely informed by remote sensing and land change modeling. This paper establishes a framework that integrates land change analysis, coastal flooding, and sea level rise adaptation. Multilayer perceptron neural network, similarity learning, and binary logistic regression were applied to analyze spatiotemporal changes of residential, commercial, and other built-up areas in Bay County, Florida, USA. The prediction maps of 2030 were produced by three models under four policy scenarios that included the population relocation strategy. Validation results reveal that three models return overall acceptable accuracies but generate distinct landscape patterns. Predictions indicate that planned retreat of residents can greatly reduce urban vulnerability to sea level rise induced flooding. While managed realignment of the coast brings large benefits, the paper recommends different mixes of adaptation strategies for different parts of the globe, and advocates the application of reflective land use planning to foster a more disaster resilient coastal community.     

微波-煤基炭负载催化剂脱除NO的研究

在微波辐照下,利用煤基炭负载金属催化剂,通过固定床反应器在N2/O2/NO气氛下进行NO脱除试验。结果表明,在微波功率为250 W条件下,负载K,Na,Cu基成分煤基炭脱硝效率分别可达82.27%,87.62%和71.95%,并保持较好的稳定性;K,Na,Cu基催化剂脱硝效率随微波功率下降而下降,Fe和Ni基催化剂脱硝效率随微波功率下降而上升;复合型催化剂脱硝试验表明,K基成分和Fe,Ni基成分催化剂均存在不同程度的协同脱硝作用。     

环境监理在原料药项目中的应用实践

文章在总结中国环境监理的特点和实践现状基础上,根据原料药项目的污染特点,分析原料药项目的环境监理流程及需注意的监理事项,以促进原料药项目环境监理工作的发展与交流,使环境监理工作更好地服务于环保管理。     

污水管道中硫循环三阶段模型研究综述

污水在管道输送的过程中很容易出现厌氧环境,产生的硫化氢常引起恶臭、中毒和腐蚀等一系列问题。这些问题可归结为因硫元素在管道中不同相态间的迁移转化所致,该过程主要包括三个阶段：污水中硫化物的产生和扩散、硫化氢由液相到气相的逸散以及管壁上硫化氢的氧化进而引起混凝土等管道腐蚀。对这三阶段机理模型进行了归纳总结,最后在三阶段模型的基础上阐述了控制和预防硫化氢问题的方法,从而为污水输送系统的运行、管理和设计提供参考。     

三峡库区巫山段三期蓄水前后水质状况及其变化趋势研究

根据长江巫山段六个断面2005年和2007年枯、平、丰的水质监测结果,通过对培石断面2005年和2007年的对比,可以看出三期蓄水前后长江水质比较稳定,仍为Ⅱ类水质。通过对2005年和2007年培石断面的各实测指标比较分析可以看出DO、CODMn、BOD5、TP指标2007年均出现不同程度的下降,而NH3-N、TN则呈现升高的趋势。但各支流由于受干流回水顶托影响,水环境趋于复杂,部分河段出现水华现象,需引起高度重视。     

锰尾矿、矿渣浸出毒性及Cd、Pb溶出特性研究

锰尾矿、矿渣是锰生产过程中形成的废弃物,里面的很多物质都会在自然条件下如雨水淋溶而溶出,进入到土壤和水体中造成环境污染。通过对锰尾矿、矿渣进行浸出毒性实验;以及结合到当地的自然条件,考查浸泡体系pH值、温度、液固比的变化条件,对尾矿、矿渣中Pb、Cd溶出含量的影响,明确了锰尾矿、矿渣属于一般的工业固体废物,以及Pb、Cd的溶出特性。     

城市建筑废弃物的科学管理与有效利用研究

在城镇化建设进程中,经济快速发展和建设过程中产生的建筑垃圾是同时并存的.作为可回收利用资源的建筑废弃物,通过有效利用可转化成可观的经济效益;若对于建筑废弃物未科学回用,不仅会造成资源浪费,还会引起生态系统破坏.通过了解国内外建筑废弃物现状,阐述建筑废弃物处理手段,分析建筑再生材料的市场应用前景.进而对国内建筑垃圾管理和利用提出相关建议和展望,为建筑废弃物环境管理和资源化利用提供理论依据和支持.