生物净化槽对黑臭河水净化的中试研究

将人工湿地技术与生物接触氧化法相组合的生物净化槽应用于上海市中心城区黑臭河水净化.试验结果表明,生物净化槽对系统中BOD₅、COD_Cr、NH₃-N 和TP 的平均去除率分别为37.0%,34.8%,34.7%,26.7%,去除率高于单一的填料净化槽.海寿花的同化利用对N、P的去除贡献率分别为8.92%,25.24%,并与微生物间形成了良好的互惠共生关系.生物膜挂膜动态分析检测结果表明,生物净化槽能够较好地实现对黑臭水体生态系统的修复.     

Catastrophe theory to assess water security and adaptation strategy in the context of environmental change

Economic development, population growth, urbanization and climate change have led to an increasing water shortage across the globe. Ensuring water security under changing environment will be the greatest challenge for water resources managers in near future. In this paper, catastrophe theory based multi-criteria evaluation model has been proposed to assess water security under different management strategies to recommend the best water management strategy to achieve water security in the context of global environmental change. The assessment model involves future scenarios of climate change, population growth and economic development. Total 16 indicators related to climate, socio-economy and water availability and consumption have been proposed to measure water security under three management strategies viz. business-as-usual, water demand management and water supply management. The model has been applied to Yulin city of North West China to assess water security as well as to identify the water management strategy under changing environment. The results show that under business-as-usual situation the water shortage rate will reach up to 44 % by the year 2020 and up to 70 % by the year 2030 in Yulin. Water supply is required to increase by 41 % to meet the water demand under supply management strategy which is beyond the safe baseline rate. The study reveals that water demand management can reduce the gap between water supply and demand to a reasonable amount and therefore, can be considered as the most effective approach for adapting with environment change.     

去除生活废水及污泥中病毒的研究

从生活废水中病毒的处理着手，通过实验测定病毒蚀斑形成数量(PFU)，说明了生活废水中病毒数量的非恒定性和病毒易与污泥吸附的特性，以及常规废水处理方法对它们杀灭效率的不一致性，并分析了废水处理过程中几种杀灭病毒的方法，以及它们的不同效率和杀灭病毒的原理，探讨城市污水处理中病毒去除的几种方法。     

城市内河沉积物中反硝化作用的研究进展

沉积物是水环境的重要组成部分,它作为污染物的"汇"与"源",在外源污染有效控制后,城市内河沉积物将成为引发水体富营养化和黑臭现象的重要原因。反硝化作用是氮生物地球化学循环中的核心环节,是去除氮污染的重要途径。文章综述了城市内河沉积物中氮的生物地球化学循环及反硝化作用,着重介绍了测定反硝化速率的不同方法以及其优缺点,同时总结了影响反硝化作用的主要因素如DO浓度、有机质、温度、pH、NO3-等,并提出了该方向今后进一步研究的重点和发展趋势。     

温度和pH值对活性污泥法脱氮除磷的影响

温度和pH值是影响污水脱氮除磷效果的2个重要因素.试验采用连续搅拌槽式反应器(continuous stirred tank reactor,CSTR),通过对不同温度和pH值条件下的硝化、反硝化、释磷和吸磷反应速率的测定,总结出温度和pH值对活性污泥生化反应速率的影响规律.试验表明,硝化和反硝化速率随温度的升高而加快.在5℃和33℃时,硝化速率分别为0.01 kg NH4 -N/(kg VSS·d)和0.28 kg NH4 -N/(kg VSS·d);在5℃和30℃时,反硝化速率分别为0.097 kg NO3--N/(kg VSS·d)和0.476 kg NO3--N/(kg VSS·d);但温度对吸磷和释磷速率的影响不大.pH值对硝化、反硝化、吸磷和释磷速率均有显著影响,在pH值为7.74时,硝化速率为0.095 kg NO3--N/(kg VSS·d);而在pH值为4.9和10.08时,硝化速率仅为0.005 kg NO3--N/(kg VSS·d)和0.006 kg NO3--N/(kg VSS·d).在pH值为7.85时,反硝化速率达到最大值0.36 kg NO3--N/(kg VSS·d);而在偏酸性和碱性条件下,反硝化速率显著下降.     

粒状羟基氧化铁对废水中硝酸盐的吸附

本实验研究了粒状羟基氧化铁(GFH)对人工配制含氮废水中NO3--N吸附的影响因素、吸附等温线和吸附动力学。结果表明,GFH的吸附平衡时间为80 min,增加NO3--N溶液的初始浓度,去除率下降;pH值为5时GFH对NO3--N的吸附能力最强,pH值升高和降低,吸附能力均下降;GFH对NO3--N的吸附能力随着温度的升高略有降低;在25℃下,以Langmuir方程和Freundlich方程分别对GFH吸附NO3--N的等温线进行拟合,拟合效果以Langmuir方程较好,相关性达到0.9930。GFH吸附NO3--N的过程符合拟二级动力学方程,初始时刻的吸附速率h在35℃时最大,为1.653 mg/(g.mg),吸附速率常数随温度的升高而增大;吸附反应的活化能Ea为54.72 kJ/mol。本研究结果表明,GFH在饮用水脱氮和含氮浓度较低的污水再生回用领域有实际应用的潜力。     

天津市环境空气中恶臭感官定量评价分析

为研究环境空气恶臭污染特征,以天津市区为研究区域,分别在夏秋两季对天津市内六区的环境空气中恶臭感官浓度进行了监测。结果显示,在观测期间臭气浓度在限值（以《恶臭污染物排放标准》厂界臭气浓度限值20作为参照）范围以内的样品数量夏季占63％,而秋季占18％;通过多元线性回归方法建立了典型恶臭污染物与恶臭感官浓度的定量表达式,计算出典型恶臭污染物对市区环境空气的臭气浓度贡献率占59％。通过对实测值与预测值的拟合情况的分析,表明该回归方程可以较好的预测天津市环境空气中夏季恶臭感官浓度。     

平凉市道路噪声监测结果分析

本文通过对平凉市2008～2012年道路交通噪声进行统计、分析,并针对道路噪声控制提出解决措施。     

Potential of secondary aerosol formation from Chinese gasoline engine exhaust

Light-duty gasoline vehicles have drawn public attention in China due to their significant primary emissions of particulate matter and volatile organic compounds(VOCs). However,little information on secondary aerosol formation from exhaust for Chinese vehicles and fuel conditions is available. In this study, chamber experiments were conducted to quantify the potential of secondary aerosol formation from the exhaust of a port fuel injection gasoline engine. The engine and fuel used are common in the Chinese market, and the fuel satisfies the China V gasoline fuel standard. Substantial secondary aerosol formation was observed during a 4–5 hr simulation, which was estimated to represent more than 10 days of equivalent atmospheric photo-oxidation in Beijing. As a consequence, the extreme case secondary organic aerosol(SOA) production was 426 ± 85 mg/kg-fuel, with high levels of precursors and OH exposure. The low hygroscopicity of the aerosols formed inside the chamber suggests that SOA was the dominant chemical composition. Fourteen percent of SOA measured in the chamber experiments could be explained through the oxidation of speciated single-ring aromatics. Unspeciated precursors, such as intermediate-volatility organic compounds and semi-volatile organic compounds, might be significant for SOA formation from gasoline VOCs. We concluded that reductions of emissions of aerosol precursor gases from vehicles are essential to mediate pollution in China.     

Cracking the Achilles’ heel of energy performance contracting projects: the credit risk identification method for clients

ABSTRACT

A credit risk identification model is established to examine the credit status of Energy performance contracting (EPC) project clients (i.e., energy-using companies) in China based on rough set theory. The model is verified with data from 120 listed companies at different times. Study shows that lack of credit is one of the main obstacles to the implementation of EPC projects, and information asymmetry is the main reason for this lack of credit among potential clients in China. The credit risk identification method based on rough set theory can make up for the shortcomings of existing EPC projects in terms of credit risk identification, including redundant information and indicators, and unclear decision rules. Credit risk identification indicators of clients are dynamic. The research results can help energy service companies (ESCOs) determine the credit status of clients, facilitate cooperation between ESCOs and clients, and help explain the various dynamics of clients’ credit risk identification indicators over time.