Using Multiple Antibiotic Resistance and land use characteristics to determine sources of fecal coliform bacterial pollution

Multiple Antibiotic Resistance (MAR) analysis and regression modeling techniques were used to identify surface water areas impacted by fecal pollution from human sources, and to determine the effects of land use on fecal pollution in Murrells Inlet, a small, urbanized, high-salinity estuary located between Myrtle Beach and Georgetown, South Carolina. MAR analysis was performed to identify areas in the estuary that are impacted by human-source fecal pollution. Additionally, regression analysis was performed to determine if an association exists between land use and fecal coliform densities over the ten-year period from 1989 to 1998. Land-use variables were derived using Geographic Information System (GIS) techniques and were used in the regression analysis.MAR analyses were conducted by comparing the frequency and patterns of antibiotic resistance found in Escherichia coli isolates derived from surface water samples and from sewage sources in the Murrells Inlet sewage collection system. The MAR results suggest that the majority of the fecal pollution detected in the Murrells Inlet estuary may be from non-human sources, including fecal coliforms isolated from areas in close proximity to high densities of active septic tanks.A MAR Index, which measures the frequency of antibiotic resistance, was calculated for each of twenty-three water samples and nine sewage samples. The antibiotic resistance pattern comparisons were performed using cluster analysis. Although the MAR indices indicated that several surface water sites had potential human-source contamination, the cluster analysis suggests that only one sampling site had MAR patterns that were similar to those found in the sewage samples. This site was in close proximity to several large pleasure boats as well as a sewage collection system lift station, but was not near areas with active septic tanks. The results of the regression analysis also suggest that sewage sources and rainfall runoff from urbanized areas may contribute to fecal pollution in the estuary.     

西安市及周边地区MODIS气溶胶光学厚度与PM10浓度关系模型研究

西安是空气污染监控和防治有代表性的西部大型城市。研究了西安市及周边地区上空气溶胶光学厚度与PM10浓度的关系模型。利用2011—2012年MODIS卫星气溶胶光学厚度（AOD）遥感产品,通过数据匹配,利用地面气象观测站点的能见度数据和相对湿度数据对AOD产品进行垂直标高订正和湿度订正,2项订正显著提高了AOD和地面PM10浓度的相关性,相关系数从0．36提高到0．65,按季节分类统计和订正春至冬四季的相关系数分别为0．57、0．71、0．62和0．87,夏季和冬季的订正更为有效,可用性更高,这可能由于受到不同季节气溶胶来源和特征的影响。为研究中国西部大型城市,特别是西安市空气环境监测和区域联防联控提供了一种有效方法。     

城市大气中颗粒物的研究现状及健康效应

综述了大气尘(TSP、PM10、PM2.5)的研究现状,重点围绕TSP、PM10、PM2.5的物理特征、化学组成(有机组成、重金属元素的总含量及其各化学形态分布)及其源解析进行描述,也提及了大气颗粒物与健康的关系.     

Effects of meteorological conditions on PM10 concentrations - A study in Macau

Review on the annual PM₁₀ concentrations over a 10-year period shows that Macau is subjected to severe fine particulate pollution. Investigations of its variation in monthly and daily time scales with the local meteorological records reveal further details. It is found that a distinct feature of the Asian monsoon climates, the changes of wind direction, mainly controls the general trend of PM₁₀ concentration in a year. The monsoon driven winter north-easterly winds bring upon Macau dry and particle enriched air masses leading to a higher concentration in that period while the summer south-westerly winds transport humid and cleaner air to the region leading to a lower PM₁₀ value. This distinct seasonal feature is further enhanced by the lower rainfall volume and frequency as well as mixing height in winter and their higher counterparts in summer. It is also found that the development of tropical cyclones near Macau could also impose episode like PM₁₀ concentration spikes due to the pre-typhoon induced stagnant air motion followed by the swing of wind direction to the northerly.     

成都市大气颗粒物源解析的PPR法

应用投影寻踪回归新技术(PPR),对成都市区大气采集样本中的元素含量数据和成都市大气颗粒物源成分谱进行分析,得到成都市大气颗粒物排放源的权重贡献率。结果表明:影响成都市大气颗粒物的主要贡献源为燃煤尘和土壤道路尘,它们的贡献率均达40%以上,与成都市区内大气污染来源的实际情况相符合。      

清洁的胡椒基T醚生产工艺的研究I,5-丙基-1,3-苯并二氧杂茂的氯甲基化废水的处理

报道了胡椒基丁醚生产中５－丙基－１，３－苯并二氧杂茂的氯甲基化的废水处理，该废水经蒸馏可回收９４％的盐酸，此酸吸收氯化氢后浓度在３６％以上，可再用于氯甲基化反应。蒸馏残液经分油、Ｆｅｎｔｏｎ试剂处理和五次生炭柱吸附后ＣＯＤＣｒ等项指标均可国家二类污染物的一级排放标准。     

用BOD5/TOD值评价废水可生化性的可行性分析

在阐述ＴＯＤ的组成、可降解率等特征的基础上，探讨了用ＢＯＤ５／ＴＯＤ值评价废水可生化性的可行性及其存在的问题，并提出了相应的改进措施。     

薄层色谱紫外分光光度法定量测定微生物发酵产物辅酶Q10

报道了一种微生物发酵液中辅酶Q10的定量检测方法.该方法分为两个步骤:第一步是离心收集菌体和结合使用超声波处理的辅酶Q10丙酮抽提;第二步是硅胶薄层色谱,根据标样位置取产物斑点乙醇洗脱后用紫外分光光度法测定辅酶Q10含量.结果表明,该方法具有操作简便、重复性好、相对误差小等优点,可用于细菌发酵生产辅酶Q10研究过程中发酵产物的快速定量检测.图2表2参6     

厦门市大气PM2.5中多环芳烃的昼夜变化特征

对厦门市冬季不同功能区大气PM2.5中多环芳烃(PAHs)的昼夜变化特征进行分析.结果表明,在检出的13种PAHs中,总浓度及其组分均呈现明显的差异.PAHs总浓度(ΣPAHs)分布在3.04-12.49ng·m-3;各功能区PAHs以菲、芘和含量相对较高,其中菲占优势,说明厦门市冬季大气PM2.5中PAHs以菲的污染为主.局部地区晚间ΣPAHs的浓度明显高于日间浓度,这可能与夜间大气混合层下降、污染物不易扩散传输、日间PAHs易光降解等有关.     

Mo6+对活性污泥系统反硝化性能的影响

采用对比实验的方法,在不同初始硝酸盐氮和COD质量浓度的条件下,对人工模拟的活性污泥系统投加不同质量浓度的Mo6 ,以此考察Mo6 对活性污泥系统反硝化性能的影响。结果发现,Mo6 的质量浓度小于5mg?L-1以下时能够促进硝酸盐氮的去除,质量浓度为1mg?L-1时促进效果最好。Mo6 的质量浓度在4mg?L-1以下时,可以使COD去除效率增加,质量浓度为2mg?L-1时有最佳促进作用。Mo6 的质量浓度小于1g?L-1时可提高反硝化活性污泥的TTC-脱氢酶活性,过高质量浓度则表现出抑制作用。综合Mo6 的对硝酸盐氮和COD去除的影响规律以及对活性污泥TTC-脱氢酶活性的影响,认为Mo6 在质量浓度为1mg?L-1时对反硝化的促进作用最强。