Do vehicular emissions dominate the source of C6–C8 aromatics in the megacity Shanghai of eastern China?

The characteristic ratios of volatile organic compounds(VOCs) to i-pentane, the indicator of vehicular emissions, were employed to apportion the vehicular and non-vehicular contributions to reactive species in urban Shanghai. Two kinds of tunnel experiments, one tunnel with more than 90% light duty gasoline vehicles and the other with more than 60% light duty diesel vehicles, were carried out to study the characteristic ratios of vehicle-related emissions from December 2009 to January 2010. Based on the experiments, the characteristic ratios of C6–C8aromatics to i-pentane of vehicular emissions were 0.53 ± 0.08(benzene), 0.70 ± 0.12(toluene),0.41 ± 0.09(m,p-xylenes), 0.16 ± 0.04(o-xylene), 0.023 ± 0.011(styrene), and 0.15 ± 0.02(ethylbenzene), respectively. The source apportionment results showed that around 23.3% of C6–C8 aromatics in urban Shanghai were from vehicular emissions, which meant that the non-vehicular emissions had more importance. These findings suggested that emission control of non-vehicular sources, i.e. industrial emissions, should also receive attention in addition to the control of vehicle-related emissions in Shanghai. The chemical removal of VOCs during the transport from emissions to the receptor site had a large impact on the apportionment results. Generally, the overestimation of vehicular contributions would occur when the VOC reaction rate constant with OH radicals(k OH) was larger than that of the vehicular indicator, while for species with smaller k OH than the vehicular indicator, the vehicular contribution would be underestimated by the method of characteristic ratios.     

亚热带城市河流生态河岸的研究

随着生活水平的提高,城市河流生态河岸日益受到重视.从城市河流河岸的现状分析,到国内外城市河流生态河岸的研究,包括城市河流生态河岸的规划与实践,较为全面的体现了城市河流生态河岸的结构与功能,并提供了亚热带城市河流生态河岸的研究案例,基于亚热带的气候条件及研究基础,为亚热带城市河流生态河岸进一步研究提供参考.     

松果去除水体中左氧氟沙星的研究

以松果为原料制备生物吸附剂,通过等温吸附模型和吸附动力学模型对吸附过程进行拟合,分析松果对左氧氟沙星的吸附特征,并考察了左氧氟沙星的最佳吸附条件.结果表明,最佳的吸附条件为pH为8,温度为40℃,吸附剂用量为0.8 g/L,最大吸附量为104.17 mg/g.吸附过程能较好被准二级动力学方程(R2＞0.99)和Langmuir等温吸附模型(R2 ＞0.99)拟合.以农业废弃物松果制备出价廉、高效的新型生物吸附剂,为水体中抗生素的处理提供了一种新的方法.     

BP 神经网络模型在环境气象灾害预测中的应用研究--以湖南省为例

依据环境气象数据与自然灾害统计数据,建立BP神经网络模型,对湖南主要气象灾害（洪灾、旱灾、冰冻灾）及受灾经济损失进行实例预测,将在MATLAB7软件中的仿真结果与传统的多元线性回归模型分析结果进行比较和误差分析。结果表明,BP神经网络模型在洪灾、旱灾受灾率方面的预测效果和精度优于多元回归模型,而由于冰灾训练样本不足及经济损失与输入因子的线性相关程度高,在冰灾与受灾经济损失率方面稍逊于多元回归模型。     

上海市降水过程中汞的浓度变化研究

为了研究降水过程中汞浓度变化规律,采集了上海市区2009年7月6日一次连续降水过程中的分时段12个雨水样品,利用冷原子荧光测汞仪测定了总汞、溶解态汞和颗粒态汞浓度.分析结果显示,降水过程各时段雨水样品的总汞浓度变化范围为0.26～0.53 μg·L-1之间,其中溶解态汞占总汞的比例为67.9％～96.8％;总汞浓度和颗粒态汞浓度的总体变化规律较一致,降水事件的前30分钟内浓度较高,之后逐渐降低,最终趋于稳定;溶解态汞浓度从降水事件开始由高到低逐渐变化,最终也趋于稳定.通过清除比计算云下冲刷过程对雨水中总汞浓度的贡献,发现云下冲刷的贡献大于40.9％.     

在用轻型汽油车排放水平及趋势变化拟合研究

基于佛山市2.7万条稳态加载模拟工况法(ASM)的尾气排放检测数据,在分析了总体排放劣化特征随行驶里程呈规律性变化的基础上,通过分类统计和回归分析方法研究了在用轻型汽油车的排放劣化增长模型及不同排放标准机动车的排放特征.分析结果表明,线性增长模型能很好地表现CO,HC,NO三种污染物随行驶里程的劣化规律;不同排放标准的轻型汽油车排放特征差异很大,国零、Ⅰ、Ⅱ排放水平很高,对总体排放影响较大.研究结论对于预测机动车污染变化趋势,完善在用车检查/维护制度等方面可以提供理论支持.     

Contamination and vertical distribution of As,Cd, Cr,Cu, Pb,Tl, and Zn in paddy soil irrigated with untreated leachate from tailings retention ponds

The contamination and vertical distribution of As, Cd, Cr, Cu, Pb, Tl, and Zn in paddy soil irrigated with untreated leachate from the tailings retention pond were investigated. As, Cr, Cu, and Zn were slightly contaminated in the surface soil and hence their vertical distribution was not obvious. However, Cd and Pb were highly contaminated in the surface soil, while their concentrations decreased with depth, being negatively correlated with pH and positively with total organic matter. Tl was considerably contaminated in the surface soil and a V-shaped vertical distribution was observed where the concentration increased to a maximum at about 30 cm depth and decreased thereafter. The findings revealed that the regular irrigation with untreated leachate from the tailings retention ponds could cause considerable contamination of Cd, Pb, and Tl, and thus tailings should be stringently treated before disposal to minimize their potential environmental impacts on the surroundings.     

Immediate behavioural responses to earthquakes in Christchurch,New Zealand,and Hitachi,Japan

This study examines people's immediate responses to earthquakes in Christchurch, New Zealand, and Hitachi, Japan. Data collected from 257 respondents in Christchurch and 332 respondents in Hitachi revealed notable similarities between the two cities in people's emotional reactions, risk perceptions, and immediate protective actions during the events. Respondents' physical, household, and social contexts were quite similar, but Hitachi residents reported somewhat higher levels of emotional reaction and risk perception than did Christchurch residents. Contrary to the recommendations of emergency officials, the most frequent response of residents in both cities was to freeze. Christchurch residents were more likely than Hitachi residents to drop to the ground and take cover, whereas Hitachi residents were more likely than Christchurch residents to evacuate immediately the building in which they were situated. There were relatively small correlations between immediate behavioural responses and demographic characteristics, earthquake experience, and physical, social, or household context.     

Prioritizing groundwater remediation policies: a fuzzy compatibility analysis decision aid

The implementation of groundwater remediation strategies in contaminated areas includes not only a cost-benefit analysis and an environmental risk assessment but also another type of study called compatibility analysis. A compatibility analysis targets the interactions between remediation technologies and site characteristics, such as the types of active contaminants and their concentrations, soil composition and geological features, etc. The purpose of this analysis is to identify the most compatible remediation plan for the contaminated site. In this paper, we introduce a decision support system for the prioritization of remediation plans based on their estimated compatibility index. As this model receives data in terms of linguistic judgments and experts' opinions, we use fuzzy sets theory to deal with these uncertainties. First, we break down the concept of compatibility into the measurable factors. Then by using a multiple-attribute decision-making (MADM) outline, we compute a factorial, regional and overall compatibility indicator for each plan. Finally, by comparing these generated indicators, we rank the remediation policies.