Measurements of peroxyacyl nitrates (PANS) in Mexico City: implications for megacity air quality impacts on regional scales

Peroxyacyl nitrates (PANs) were measured using gas chromatography with electron capture detection (GC/ECD) in north central Mexico City during February–March of 1997. Peroxyacetyl nitrate (PAN) was observed to exceed 30 ppb during five days of the study, with peroxypropionyl nitrate (PPN) and peroxybutryl nitrate (PBN) reaching 6 and 1 ppb maximum, respectively. Levels of total PANs typically exceeded 10 ppb during the period of measurement and showed a very strong diurnal variation with PANs maximum during the early afternoon and falling to less than 0.1 ppb during the evening hours. These levels of PANs are the highest reported values in North America (and the world) for an urban center, since levels of approximately 30 ppb were reported during the late 1970s in the Los Angeles area (South Coast Air Basin, Tuazon et al., 1978). Hydrocarbon measurements indicate that the levels of olefins, specifically butenes are significant in Mexico City. A time series taken of source indicator hydrocarbons taken before and during a Mexican National Holiday with reduced automobile traffic clearly show that mobile sources of butenes are as important as liquefied petroleum gas. Observations of 10–40 ppb C methyl-t-butyl ether (MTBE) are consistent with MTBE/gasoline fuel usage as a source of isobutene and formaldehyde. Both these reactive species can lead to increased oxidant and PAN formation. The strong diurnal profiles of PANs are consistent with regional clearing of the Mexico City air basin on a daily basis. Estimates are given using a simple box model calculation for a number of key primary and secondary pollutant emissions from this megacity on an annual basis. These calculations indicate that megacities can be important sources of both primary and secondary pollutants, and that PANs produced in megacity environments are likely to contribute strongly to regional scale ozone and aerosol productions during long range transport.     

改善深圳河水质的补水方案及生态影响初步分析

深圳河旱季天然径流量小而污染负荷高,为了改善河流水质,在削减入河污染物的同时有必要采取补水措施。利用水质模型,计算了不同污水处理率下,分别以污水资源化再生水、珠江口海水和大鹏湾海水为补水水源时,深圳河达到基本不黑臭所需的补水量。讨论了补水方案对河流水质、盐度、水动力条件的改变及其对生态系统的影响。研究表明,引海水对河流生态系统的冲击不容忽视。而污水资源化是较优的补水方案。     

煤对CO2，N2和CH4的吸附速率经验公式与异同性研究*

为了解决吸附速率拟合公式缺乏而解吸经验公式众多的问题,通过替换解吸参数、定性和对比分析各经验公式对煤吸附CO₂,N₂,CH₄吸附速率的适用性,选取4种不同煤质的煤样在0.5,1.0和2.0 MPa下进行定温吸附实验,分析压力和煤质对吸附速率的影响规律。研究结果表明:时间函数式对3种气体在不同压力和煤质下的吸附速率拟合效果最佳;压力和煤质对3种气体吸附速率的影响既存在共性又具有差异性,气体吸附速率与压力符合指数函数关系,与挥发分呈现出二次函数关系,并且压力升高会导致最低吸附速率趋向于较高变质程度煤样;CH₄和N₂的吸附速率随压力升高而升高,而CO₂的吸附速率因煤样而不同,且在同压下,不同气体的最高和最低吸附速率煤样的变质程度也不同。     

Alcohol is a predictor of mortality in motor vehicle collisions

IntroductionIt is well recognized that driving while intoxicated increases the probability of a motor-vehicle collision (MVC). The effect of alcohol on the chance of surviving the MVC is less clear. Method: Using data from the Fatality Analysis Reporting System (FARS) we conducted analyses for the outcome of mortality using alcohol and other variables as predictors. We also selected alcohol positive (AP) and alcohol negative (AN) persons from the same MVC and vehicle to control for confounding characteristics. Results: The odds ratio (OR) for mortality for alcohol positive drivers was 2.57, (p < 0.001 for all the following OR). Other harmful predictive factors were age OR 1.01 per year, vehicle age OR 1.05 per year, male sex OR 1.23, avoidance maneuver OR 1.09, speed related OR 2.89, rollover mechanism OR 2.75, and collision with a fixed object OR 6.70. Protective factors were proper restraint use – OR 0.19 and collision with another moving vehicle, OR 0.21. In the multivariate analysis the OR of mortality for AP vs AN was 1.46. Proper restraint use (OR 0.27) remained protective along with collision with another moving vehicle. When AP and AN persons from the same MVC and the same vehicle were compared, the adjusted OR’s for mortality were 1.46 and 2.08, respectively. Conclusions: Alcohol is an independent predictor of mortality in an MVC. Proper restraint use is the strongest protective factor. This finding allows a more complete understanding of the risks of driving while intoxicated, not only a higher probability of an MVC, but decreased survival once the MVC occurs. Practical Applications: Identification of alcohol as an independent predictor of mortality in an accident may improve risk assessment and influence drivers to avoid driving while intoxicated.     

基于统计学方法的南方某市管网水水质特征研究

为综合解析南方某市管网末梢水水质的时空变化特征、识别主要响应指标及指标间相关性,以该市近4年供水管网末梢水水质监测数据为研究对象,利用主成分分析法和对应分析法对管网末梢水质进行了特征研究。主成分分析法评价结果表明:该市管网末梢水年度总体水质存在差异,其中以2016年为最佳;夏秋季节更易发生水质异常现象,5~9月应加强管网末梢水水质管控;区域上看已完成深度处理改造的梅林水厂供水覆盖区管网末梢水水质最优,南山水厂供水覆盖区管网末梢水水质最差;水质指标硫酸盐、氯化物、硬度之间,Fe、浊度、总氯之间具有相对其他水质指标更高的相关性。对应分析法结果表明:管网末梢水水质主要响应指标可重点关注Fe、浊度、耗氧量、总氯和硫酸盐;其中Fe、浊度、耗氧量呈正相关性强,上述指标与硫酸盐、总氯呈负相关性。     

宁波月湖的水质改善与生态修复

随着浙江"五水共治"工作的深化,宁波作为浙江"五水共治"的中坚力量,始终把"五水共治"作为全市工作的首要任务和突破重点。自1999年进行清淤后,月湖水质得到短期改善,然而治标不治本的治理措施,并没有让月湖水质得到根本改善。因此,对月湖进行科学有效的生态修复,针对性地处理水污染问题,使之重新焕发活力具有十分重要的意义。     

收入差距是否影响环境质量?——国内外研究综述

近年来,收入差距扩大与环境质量恶化成为许多国家同时面临的问题,也让一些经济学家开始思考,这两者之间是否存在关联。继20世纪90年代环境库兹涅茨曲线提出以来,一些研究发现不仅收入的绝对水平会对环境质量产生影响,收入差距对环境质量也有影响。本文对这一课题的理论研究进行了梳理,发现现有理论中收入差距对环境质量的影响途径主要有三条。第一条途径是消费者途径,即收入差距影响着以消费为主的个人经济行为,进一步影响着社会消费总量和消费结构,及其过程中产生的污染总量。第二条途径是企业途径,即认为收入差距的扩大会削弱环保型产品的正外部性,不利于环保技术的创新活动,对未来环境质量的改善产生动态影响。第三条途径是政府途径,即认为收入差距会影响相关的环境政策方式与强度选择;而且在不同的社会政策决策机制下,收入差距对环境政策的影响也是不同的,现有的社会决策机制分析框架主要有两种——权利权重型社会决策规则和简单多数规则。此外,本文还对现存的主要实证研究进行了总结,发现大多数研究结论都支持收入差距对环境质量存在着影响,但这种影响并不是线性的。一方面,收入差距对环境的影响与研究的污染物种类有关,大多数研究都显示,收入不平等对CO 2排放和土壤污染存在着负向影响,但有关收入差距对空气污染和水污染影响的研究结论并不统一或并不显著。另一方面,这种影响还与经济发展水平相关,在高收入国家与低收入国家是不同的,存在着阈值效应。最后本文总结了针对中国的研究现状,讨论了其在我国的适用性。     

环境资源的量化模型及估算指标体系

本文依据区划环境标准，提出了环境资源的成本概念－环境成本。     

空气微生物对铜陵市环境质量的指示作用

所测铜陵市区空气的平均细菌含量约４１８１．５ＣＦＵ．ｍ－３，总菌含量约４４９５．９ＣＦＵ．ｍ－３。与许多中国的大中城市比，污染不重，结果指示铜陵空气尚处于正常状态之中。     

汉江堵河流域地表水质时空变化特征

对汉江堵河流域9个点位为期1年的地表水水质理化特性进行时空特征分析,应用〖WTBX〗t〖WTBZ〗检验进行水质季节性变化分析,聚类分析进行空间相似性分析以确定空间尺度的分类情况,判别分析识别显著性指标,并以此反映上述空间聚类分析结果的差异性。结果表明:①Cl-、总溶解性固体（TDS）及浊度（Turbidity） 3项指标没有表现出显著的时间差异性;②温度、pH、NO-3、TP表现为丰水季显著大于枯水季,而SO2-4、HCO-3、NH+4、 DO则表现出相反的变化趋势,即枯水季显著大于丰水季;③空间聚类分析将采样点分为4类;④判别分析体现出良好的指标降维能力,仅需4个指标（NO-3、TDS、SO2-4、HCO-3）即可反映整体水质的空间差异性。