Antibiotic resistance genes in an urban river as impacted by bacterial community and physicochemical parameters

Antibiotic resistance genes (ARGs) in urban rivers are a serious public health concern in regions with poorly planned, rapid development. To gain insights into the predominant factors affecting the fate of ARGs in a highly polluted urban river in eastern China, a total of 285 ARGs, microbial communities, and 20 physicochemical parameters were analyzed for 17 sites. A total of 258 unique ARGs were detected using high-throughput qPCR, and the absolute abundance of total ARGs was positively correlated with total organic carbon and total dissolved nitrogen concentrations (P < 0.01). ARG abundance and diversity were greatly altered by microbial community structure. Variation partitioning analysis showed that the combined effects of multiple factors contributed to the profile and dissemination of ARGs, and variation of microbial communities was the major factor affecting the distribution of ARGs. The disparate distribution of some bacteria, including Bacteroides from mammalian gastrointestinal flora, Burkholderia from zoonotic infectious diseases, and Zoogloea from wastewater treatment, indicates that the urban river was strongly influenced by point-source pollution. Results imply that microbial community shifts caused by changes in water quality may lead to the spread of ARGs, and point-source pollution in urban rivers requires greater attention to control the transfer of ARGs between environmental bacteria and pathogens.

     

Health risk assessment of an abandoned herbicide factory site for transportation use in Dalian,China

An abandoned herbicide factory site was used as an example of how planning should be considered for development of the site for transportation use in Dalian, China. Exposure pathways and parameters for three types of transportation use (land for a traffic hub, land for an urban road, and land for a subway) were developed. Twenty-five sampling sites were selected and 38 soil samples were collected in March 2015. Hexachlorobenzene and benzo(a)pyrene which were extracted by Soxhlet extraction and detected by gas chromatography mass spectrometry were the most significant pollutants detected. The maximum concentration of the two pollutants in the surface layer (0–0.5 m) were 0.57 and 3.10 mg/kg, and in the bottom layer (1.0 m) were 2.57 and 3.72 mg/kg, respectively. In this study, risk assessment results based on the established exposure scenario and parameters showed that there was a significant difference in traffic hub land use under specific exposure pathway and common insensitive land use exposure pathways (direct ingestion of soil, dermal contact with soil, and inhalation of soil-derived dust). Commonly considered hexachlorobenzene and benzo(a)pyrene carcinogenic risk values exceeded the maximum acceptable level (10⁻⁶) and were found to be 23.9-fold and 189-fold higher than the carcinogenic risk values, respectively. Parameter sensitivity analysis data showed that for transportation use, the two parameters “EFOa” and “OSIRa” were the most significant factors associated with variation of the carcinogenic risk value. For traffic hub land use, urban road land use, and subway land use, the main exposure pathways were through “inhalation of soil vapors outdoors (from surface soil),” “direct ingestion of soil,” and “inhalation of soil vapors indoors (from bottom soil),” which contributed 84.75, 73.00, and 100.00% to the total risk value, respectively.

     

Triple-objective optimal sizing based on dynamic strategy for an islanded hybrid energy microgrid

A triple-objective optimal sizing method based on a dynamic strategy is presented for an islanded hybrid energy microgrid, consisting of wind turbine, solar photovoltaic, battery energy storage system and diesel generator. The dynamic strategy is given based on a dynamic complementary coordination between two different master-slave control modes for maximum renewable energy utilization. Combined with the proposed strategy, NSGA-II-based optimization program is applied to the sizing optimization problem with triple different objectives including the minimization of annualized system cost, the minimization of loss of power supply probability and the maximization of utilization ratio of renewable energy generation. The sizing results and the proposed strategy are both compared and analyzed to validate the proposed method in a real case of an islanded hybrid energy microgrid on Dong’ao Island, China.     

Optimization of thermal performance of the parabolic trough solar collector systems based on GA-BP neural network model

The aim of this paper is to optimize the thermal performance (system output energy, thermal efficiency, and heat loss of cavity absorber) of parabolic trough solar collector (PTC) systems in order to improve its thermal performance, based on the genetic algorithm-back propagation (GA-BP) neural network model. There are a number of undefined problems, fuzzy or incomplete information and a complex thermal performance of the PTC systems. Therefore, the thermal performance prediction of the PTC systems based on GA-BP neural network model was developed. Subsequently, the metrics performances have been adopted to comprehensively understand the algorithm and evaluate the prediction accuracy. Results revealed that the GA-BP neural network model can be successfully used to predict the complex nonlinear relationship between the input variables and thermal performance of the PTC systems. The cosine effect has a great influence on the thermal performance; thereby the geometrical structure of the PTC systems was optimized. It was found that the optimized geometrical structure was beneficial to improve the thermal performance of the PTC system. In conclusion, the GA-BP neural network model has higher prediction accuracy than the other algorithm and it can be feasible and reliable.     

Kinetic Analysis of the Temperature Effect on Polyhydroxyalkanoate Production by <Emphasis Type="Italic">Haloferax mediterranei</Emphasis> in Synthetic Molasses Wastewater

Haloferax mediterranei is an extremely halophilic archaeon that is able to synthesize polyhydroxyalkanoate (PHA) in high salt environment with low sterility demand. In this study, a mathematical model was validated and calibrated for describing the kinetic behavior of H. mediterranei at 15, 20, 25, and 35 °C in synthetic molasses wastewater. Results showed that the production of PHA by H. mediterranei, ranging from 390 to 620 mg h^?1 L^?1, was strongly dependent on the temperature. The specific growth rate (µ _max), specific substrate utilization rate (q _max), and specific decay rate (k _d) of H. mediterranei increased with temperature following Arrhenius equation prediction. The estimated activation energy was 58.31, 25.59, and 22.38 kJ mol^?1 for the process of cell growth, substrate utilization, and cell decay of H. mediterranei, respectively. The high temperature triggered the increased PHA storage even without nitrogen limitation. Thus, working at high temperatures seems a good strategy for improving the PHA productivity of H. mediterranei.     

多介质过滤-超滤-反渗透法深度处理废水的工艺改进

针对某厂多介质过滤-超滤-反渗透(MMF-UF-RO)废水深度处理工艺发生污堵的问题, 采用在MMF装置前加入NaOH混凝沉淀的改进工艺代替加入聚合氯化铝(PAC)絮凝剂的原工艺.模拟原工艺水样的初始UF膜通量较低,过滤后UF膜通量下降35%左右;模拟改进工艺水样的初始UF膜通量较高,且UF膜通量基本无变化.改进工艺UF装置出水中除SiO_2外,其他物质的质量浓度远小于原工艺UF装置出水,可有效改善RO装置的进水水质.改进工艺的MMF和UF的运行稳定性均明显优于原工艺.     

超声波处理剩余污泥有机物、氮和磷的释放特性研究

以生活污水处理厂污泥为研究对象.采用超声波技术研究了污泥破解过程中有机物、氮和磷的释放规律.结果表明,在声能密度为0.167、0.330、0.500 W/mL的条件下,污泥中的有机物、氮和磷的释放均随超声时间而增加;破解后污泥释放出的有机物以分子量(MW)≤2 000的物质为主,且上清液BOD5/COD>0.33;所释放的氮以有机氮为主,其次是氨氮,污泥破解液COD/凯氏氮平均值为11,适合于生物法脱氮;污泥破解所释放的正磷酸盐约占污泥总磷质量的6.0%～18.2%.利用沉淀结晶法将其回收,可减轻原污水处理工艺的磷负荷.     

垃圾渗滤液处理工艺中有机污染物的三维荧光光谱

利用荧光发射和三维荧光光谱研究了三峡库区某垃圾堆场的渗滤液及其处理工艺出水溶解性有机质(DOM)的荧光光谱特性。堆场渗滤液的DOM含有类酪氨酸、色氨酸及紫外区类富里酸,特征荧光峰中心位于E_x/E_m=275 nm/305 nm,为高激发波长类酪氨酸,与前人的研究结果并不一致,这可能与垃圾的堆放期有关。渗滤液和各处理工艺出水的荧光指数f_450/500均大于1.9,表明腐殖质主要为微生物源。渗滤液在处理前后荧光峰特征和强度均发生明显改变,类蛋白荧光强度与DOC值变化趋势基本一致。生化处理工艺中,类蛋白荧光强度降低了66.4%～95.5%,紫外区类富里酸荧光强度只降低了28.8%,显示类蛋白质具有良好的可生化性,而类富里酸相对较难生化降解。三维荧光光谱能反映渗滤液处理过程中污染物的种类、性质和数量等变化信息,能快速地进行定性分析、定量评价。     

Life Cycle Assessment of Ultra-clean Micronized Coal Oil Water Slurry

Life cycle assessment is applied to assess the ultraclean micronized coal oil water slurry （UCMCOWS） with SimaPro and the environmental impact of UCMCOWS on its whole life cycle is also analyzed. The result shows that the consumption of energy and products are increasing along with the deepening of UCMCOWS processing, UCMCOWS making and combustion are the two periods which have a bigger impact on eco-system and human health. As a new substitute of fuel, UCMCOWS merits to be utilized more efficiently and reasonably.     

咪唑类[PF6]^-型离子液体萃取胺类化合物

以眯唑类[PF6]^-型离子液体1-丁基-3-甲基咪唑六氟磷酸盐（[Bmim][PF6]）、1-己基-3-甲基咪唑六氟磷酸盐（[Hmim][PF6]）和1-辛基-3-甲基咪唑六氟磷酸盐（[Omim][PF6]）对苯胺、对氯苯胺等7种胺类化合物的萃取,考察了溶液初始浓度、相比、盐类、pH及离子液体眯唑基团上取代烷基对萃取平衡的影响,并研究了萃取过程的热效应。实验结果表明：溶液初始浓度对分配系数影响较小;相比10：1是离子液体对胺类化合物的溶解饱和临界点,当相比大于10：1时,分配系数降低;NaCl、K2SO4可以增大萃取分配系数,ZnSO4对分配系数几乎没有影响;pH增加,分配系数增大;离子液体对不同取代基的胺类萃取能力有较大的差异,咪唑基团上取代烷基的长度对不同胺类物质的分配系数影响较显著;萃取过程属于焓增大的吸热过程。