强化水旋澄清池技术处理黄河高浊度水的试验研究

由于兰州段夏季黄河水的浊度较高,直接影响了自来水厂的正常运行,而目前水厂所用工艺无法满足高浊度水的处理要求,因此,采用自主研究开发的具有特殊结构的水旋澄清池对黄河高浊度水进行了强化处理的试验研究。研究结果表明：在多点投药混合方式下,强化水旋澄清池可提高浊度的处理效果;若在投加无机絮凝剂PAC后,再投加有机絮凝剂PAM进行复配作用,不仅可降低无机絮凝剂的用量,节约制水成本,而且提高了自来水厂的出水水质;结果也表明该水旋澄清池技术能够推广应用于黄河高浊度水的强化处理工艺中。     

氯化蒸馏废酸还原回收锗

以锗烟尘氯化蒸馏后的废盐酸为原料,以废铁为还原剂,使废酸中的有价金属锗以还原态沉淀富集在渣中,强化氧化氯化蒸馏回收四氯化锗,锗的综合回收率达94．10％。同时生产净水剂用液体氯化铁产品。     

风险评价在危险化学品从业单位安全标准化中的应用

通过确定评价准则、评价范围与目标、危害辨识、风险评价等内容,阐述了风险评价在安全标准化中的应用情况,并结合实际,指出了目前危险化学品从业单位在具体实施“风险管理”要素时存在的一些问题,并提出应注意的事项。     

土壤二维蒸气抽排去污效果的影响研究

土壤蒸气抽排是一种经济、高效、安全并已被广泛应用的污染场址现场修复技术,它能经济高效地去除非饱和带土壤中的挥发性有机污染物。以土壤和油污染物为例,进行了土壤二维抽排模拟实验,研究了气体抽排流量对去污效果的影响,通过实验可知:在增加气体抽排流量的情况下,抽排气中挥发性较强的有机物质正戊烷(C5h12)浓度下降的很快,最终保存在较低的浓度水平。挥发性一般的正辛烷(C8h18)和挥发性较弱的正癸烷(C10h22)经过长时间的抽排后,污染物也得到了降低,但是最终保持在比较高的浓度水平。得出增加气体抽排流量可以使污染物去除速率大幅度提高,从而缩短了净化时间,获得很好的去污效果。同时对二维抽排模拟实验和一维抽排模拟实验结果做了比较。     

上海市闵行区综合水环境质量分析及研究

分析了上海市闵行区水环境质量的现状.采用同济大学开发的水质标识指数法,对闵行区2001～2005年间三大水系(即淀南片、淀北片及浦东片)的综合水质、综合水质按月变化情况、主干河流沿程变化等进行了分析.提出了改善河道水动力、河道曝气复氧、建设城市污水处理厂及完善污水管网、监测计划的前瞻性、修建护坡及绿化带等建议.     

炼焦过程排放挥发性有机物的排放特征和组成分布研究

为控制炼焦排放以及为预防城市大气污染提供可靠的污染源数据支持,利用不锈钢采样罐和全自动预浓缩/GC/MS系统,研究了58-Ⅱ型和JN43-80型焦炉在装煤时刻和炼焦过程(包括装煤时刻)中挥发有机物(VOCs)的排放特征及其组成分布,分析了焦化行业排放VOCs的反应活性。研究发现,在装煤时刻和炼焦过程中,58-Ⅱ型焦炉产生的总挥发性有机物(TVOCs)浓度分别为7022μg/m~3和6266μg/m~3;JN43-80型焦炉产生的TVOCs浓度分别为4185μg/m~3和3298μg/m~3。装煤时刻产生的TVOCs浓度明显高于炼焦过程产生的。炼焦过程无组织排放的VOCs包含烯烃、烷烃、芳香烃、卤代烃以及少量的醛和酮,其中乙烯、乙烷、丙烯、苯、甲苯等为主要成分。这些产生的VOCs反应活性各不相同,活性最大的是烯烃类物质,其活性占TVOCs反应活性比重为(86.2±2.1)%;其次是芳香烃类物质,其活性比重为(9.2±3.1)%;反应活性最大的5个物种分别是丙烯、乙烯、1,3-丁二烯、1-丁烯以及苯乙烯。     

随机故障、蓄意攻击与城乡路网空间稳定性——以武汉城市圈为例

基于1995~2010武汉城市圈城乡路网空间数据,综合运用复杂网络理论、动力系统理论及现代控制理论等多学科的方法和理论,采取随机故障和蓄意侵略两种攻击策略及多种评价指标,通过建立动力学演化模型并进行模拟仿真,揭示武汉城市圈城乡道路网的空间稳定性：（1）因分布相对均匀,节点连接随机多样,在面临随机攻击时,武汉城市圈城乡路网体现出“类随机性”,抗攻击能力强;（2）高度节点、高介数节点失效时,引致的城乡路网效率和结构变化程度不一,高介数节点失效往往更容易导致路网破碎和效率降低（形成众多子图）;（3）桥梁和高速成为整个圈域城乡路网的关键边,不同桥梁或高速路段相对网络稳定性的重要程度不一样：圈域中心城区的大桥和二桥、南北向的京港澳、大广高速成为整个城乡路网的关键路径     

Effect of Earthworm(Pheretima sp.) Density on Revegetation of Lead/zinc Metal Mine Tailings Amended with Soil

Abstract

The objective of this study was to investigate the effects of earthworm density on the availability of nutrients and heavy metals in metal contaminated soils. Pb/Zn mine tailings were mixed throughly with a red yellow podzolic soil at the ratio (w/w) of 75:25. Earthworms (Pheretima sp.) were introduced to the mixture at four different densities, zero, three, six and nine individuals per pot planted with ryegrass (Loliun multiflorum). The results indicated that earthworm activity significantly enhanced ryegrass shoot biomass. However, as denser earthworm population was introduced, shoot biomass tended to decrease. Earthworm activity significantly increased soil pH and availability of N, P and K in the tailings and soil mixture. There was a general tendency that uptake of Zn by ryegrass increased after earthworm inoculation, although the increase in extractable Zn in tailings and soil mixture was not significant. On the contrary, there seemed to be a lower uptake of Pb by ryegrass under earthworm inoclation, despite the fact that higher extractable Pb concentrations were observed. The present project indicated that the improved growth of ryegrass was due to improved nutrient availability and other soil conditions, by inoculation of earthworms at an appropriate rate. Further studies are needed to illustrate the relationship between metal availability and earthworm activity in the field.     

System dynamics modeling for municipal water demand estimation in an urban region under uncertain economic impacts

Accurate prediction of municipal water demand is critically important to water utilities in fast-growing urban regions for drinking water system planning, design, and water utility asset management. Achieving the desired prediction accuracy is challenging, however, because the forecasting model must simultaneously consider a variety of factors associated with climate changes, economic development, population growth and migration, and even consumer behavioral patterns. Traditional forecasting models such as multivariate regression and time series analysis, as well as advanced modeling techniques (e.g., expert systems and artificial neural networks), are often applied for either short- or long-term water demand projections, yet few can adequately manage the dynamics of a water supply system because of the limitations in modeling structures. Potential challenges also arise from a lack of long and continuous historical records of water demand and its dependent variables. The objectives of this study were to (1) thoroughly review water demand forecasting models over the past five decades, and (2) propose a new system dynamics model to reflect the intrinsic relationship between water demand and macroeconomic environment using out-of-sample estimation for long-term municipal water demand forecasts in a fast-growing urban region. This system dynamics model is based on a coupled modeling structure that takes into account the interactions among economic and social dimensions, offering a realistic platform for practical use. Practical implementation of this water demand forecasting tool was assessed by using a case study under the most recent alternate fluctuations of economic boom and downturn environments.     

Green shipping practices in the shipping industry: Conceptualization, adoption, and implications

There have been increasing concerns about the adverse impacts on the environment caused by cargo movement in international trade. Different stakeholders ranging from shippers and carriers to government bodies and international communities have expressed worries about the environmental impacts brought by shipping related activities. The pollution and waste created in the shipping processes have imposed environmental burdens and accelerated resource depletion. The situation is set to worsen in the face of intensifying trade globalization, which has contributed to sustained growth in international shipping activities. To help protect the environment, many shipping firms have taken the initiative to find ways to lessen the environmental damage of their operations while enhancing their performance. The objective of this study is to examine the environmental awareness and the environmental measures taken in the shipping industry. We propose a conceptual framework for evaluating green shipping practices and develop several propositions stating the conditions under which shipping firms would behave in an environmentally responsible manner. We conclude with managerial and policy implications of the conceptual framework to promote green shipping practices in the shipping industry.