Temporal changes of dominant microbial populations in groundwater in response to the leachate from Shanghai Laogang Landfill were investigated. Concentrations of dissolved redox-relevant species in groundwater suggested that the dominating redox process had changed from denitrification to methane-production/sulfate-reduction due to landfilling. Dominant microbial populations were determined using restriction fragment length polymorphism(RFLP) analyses of 16S rRNA gene libraries, which were further studied by sequencing and phylogenetic analyses. The results indicated that obvious shifts of dominant microbial populations had occurred in groundwater in response to the pollution of leachate. The closest relatives of some dominant clones are accordant with the dominating redox processes determined by hydrochemical analyses, based on the GenBank‘s indications on the ability to perform redox reactions. 相似文献
以厌氧颗粒污泥为受试生物、乙酸钠为底物,研究了2-丁烯醛废水的厌氧处理毒性及污泥胞外聚合物(EPS)的组成变化.结果表明,2-丁烯醛废水COD£850mg/L时,厌氧颗粒污泥的比产甲烷活性(SMA)几乎不受影响;当废水COD从2125mg/L提高到4249mg/L时,厌氧颗粒污泥的比产甲烷活性(SMA)从70.5mLCH4/(gVSS·d)降低至9.4mLCH4/(gVSS·d);COD为8499mg/L时,厌氧颗粒污泥的SMA仅为4.7mLCH4/(gVSS·d),且废水中有毒物质表现为杀菌性毒素.随着COD升高,EPS(TOC表征)、多聚糖、蛋白质含量呈现先降低后升高趋势.三维荧光光谱结果显示,不同COD条件下EPS荧光峰数量及位置相同,分别为类酪氨酸荧光峰peak A (λex/λem=275nm/305nm)、类色氨酸荧光峰Peak B (λex/λem=275nm/350nm)、辅酶F420贡献的荧光峰Peak C (λex/λem=415nm/470nm)及类富里酸荧光峰Peak D (λex/λem=335nm/450nm),其中荧光峰peak A和peak B峰强度较强. 相似文献
Objective: This study examined the risk factors of driving under the influence of alcohol (DUI) among drivers of specific vehicle categories (DSC). On the basis of this research, the variables related to DUI and involvement in traffic crashes were defined. The analysis was conducted for car drivers, bicyclists, motorcyclists, bus drivers, and truck drivers.
Method: The research sample included drivers involved in traffic crashes on the territory of Serbia in 2016 (60,666). Two types of analyses were conducted in this study. Logistic regression established the correlation between DUI and DSC and the The Technique for Order of Preference by Similarity to Ideal Solution (Multi-criteria decision making) method was applied to consider the scoring and explore the potential for the prevalence of DUI on the basis of 2 data sets (DUI and non DUI).
Results: The study results showed that driver error and male drivers were the 2 most significant risk factors for DUI, with the highest scores and potential for prevalence. The nonuse of restraint systems, driver experience, and driver age are the factors with a significant prediction of involvement in an accident and an insignificant prediction of DUI.
Conclusions: Following the development of the logistic prediction models for DUI drivers, testing of the model was conducted for 3 control driver groups: Car, motorcycle, and bicycle. The prediction model with a probability greater than 50% showed that 77% of car drivers were under the influence of alcohol. Similarly, the prediction percentage for motorcyclists and bicyclists amounted to 71 and 67%, respectively. The recommendation of the study is that drivers whose DUI probability is above 50% should be potentially suspected of DUI. The results of this study can help to understand the problem of DUI among specific driver categories and detect DUI drivers, with the aim of creating successful traffic safety policy. 相似文献