Effects of water velocity on bulk water quality and biofilm population structure in drinking water distribution systems北大核心CSCD

To study the effect of flow velocity on drinking water distribution systems, bulk water quality was monitored over 28 days, biomass was measured, and 16S rDNA was sequenced on the 28th day using a water distribution simulation system. The relationship between bulk water quality and biofilm was statistically analyzed. Flow velocity of 0.5 m/s yielded the most total organic carbon (TOC) (5.26 ± 0.17 mg/L) in the bulk water, the most bulk water bacteria (lg (n+1/mL-1) = 4.79 ± 0.02), the worst bulk water quality, and the most biofilm bacteria (lg (n+1/cm-2) = 5.48 ± 0.06). A Pearson correlation analysis showed the total number of biofilm bacteria was positively correlated with conductivity (R = 0.73, P < 0.01), turbidity (R = 0.87, P < 0.001), TOC (R = 0.94, P < 0.001), and total bacteria (R = 0.92, P < 0.001), and was negatively correlated with residual chlorine (R = -0.68, P < 0.05). Biofilm diversity was high under the low (0.1 m/s) and high (2.5 m/s) flow rates, but the bacterial diversity of biofilm was the lowest at the 0.5 m/s flow rate, in which Proteobacteria dominated the biofilm community structure. These results suggest that flow velocity affects bulk water quality and biofilm population structure, and water quality and biofilm population structure are interrelated, which provides the theoretical basis for research on biofilms in drinking water distribution systems. © 2018 Science Press. All rights reserved.     

洱海流域湖泊湖滨带福寿螺时空分布

福寿螺是世界100种恶性入侵物种中唯一的水生螺,已对大理及周边地区造成了不可估量的经济损失和生态安全问题。为探究洱海流域湖泊湖滨带福寿螺时空分布及与水环境因子、季节之间的关系,探索福寿螺在大理地区的入侵机制,为大理地区高效防治福寿螺提供建设性建议,并为福寿螺时空分布格局的相关研究积累资料,于2016年冬季和2017年夏季在大理洱海及其上游水源地海西海、西湖、茈碧湖、绿玉池,以及罗时江湿地进行系统抽样,利用统计软件分析福寿螺分布与水质关系,结合GIS,分析福寿螺的时空分布以及潜在入侵危害。结果表明,从空间尺度上,洱海流域福寿螺有进一步扩散的趋势;从时间尺度上,福寿螺的密度随季节性水位的改变而变化;洱海流域的福寿螺分布和水质因子之间基本无相关性。     

Multiscale codependence analysis: an integrated approach to analyze relationships across scales

The spatial and temporal organization of ecological processes and features and the scales at which they occur are central topics to landscape ecology and metapopulation dynamics, and increasingly regarded as a cornerstone paradigm for understanding ecological processes. Hence, there is need for computational approaches which allow the identification of the proper spatial or temporal scales of ecological processes and the explicit integration of that information in models. For that purpose, we propose a new method (multiscale codependence analysis, MCA) to test the statistical significance of the correlations between two variables at particular spatial or temporal scales. Validation of the method (using Monte Carlo simulations) included the study of type I error rate, under five statistical significance thresholds, and of type II error rate and statistical power. The method was found to be valid, in terms of type I error rate, and to have sufficient statistical power to be useful in practice. MCA has assumptions that are met in a wide range of circumstances. When applied to model the river habitat of juvenile Atlantic salmon, MCA revealed that variables describing substrate composition of the river bed were the most influential predictors of parr abundance at 0.4-4.1 km scales whereas mean channel depth was more influential at 200-300 m scales. When properly assessed, the spatial structuring observed in nature may be used purposefully to refine our understanding of natural processes and enhance model representativeness.     

Development of pretreatment protocol for DNA extraction from biofilm attached to biologic activated carbon (BAC) granules

The biologic activated carbon (BAC) process is widely used in drinking water treatments. A comprehensive molecular analysis of the microbial community structure provides very helpful data to improve the reactor performance. However, the bottleneck of deoxyribonucleic acid (DNA) extraction from BAC attached biofilm has to be solved since the conventional procedure was unsuccessful due to firm biomass attachment and adsorption capacity of the BAC granules. In this study, five pretreatments were compared, and adding skim milk followed by ultrasonic vibration was proven to be the optimal choice. This protocol was further tested using the vertical BAC samples from the full-scale biofilter of Pinghu Water Plant. The results showed the DNA yielded a range of 40 μg·g^-1 BAC (dry weight) to over 100 μg·g^-1 BAC (dry weight), which were consistent with the biomass distribution. All results suggested that the final protocol could produce qualified genomic DNA as a template from the BAC filter for downstream molecular biology researches.     

人工湿地去除氨氮机理及影响因素研究

人工湿地的脱氮主要是通过水生植物吸收、微生物的硝化和反硝化以及氮的挥发等途径来实现的,微生物的硝化与反硝化是主要的脱氮机制。人工湿地去除氨氮的影响因素很多,不仅受到基质、微生物和水生植物这3种人工湿地构成要素的影响,还受到溶解氧(DO)、pH和温度的影响,改善这些影响因素从而达到良好的脱除氨氮效果。最后对人工湿地基质吸附饱和后再生处理问题进行了探讨。     

石油生物脱硫技术研究进展

生物脱硫技术由于具有条件温和、能耗低等优势受到人们关注。对生物脱硫新型微生物的筛选方向、生物脱硫技术中脱硫菌生长以及脱硫限制、传质限制等因素及其近期研究进展等方面进行了介绍,以期促进生物脱硫技术的研究深度。     

流域农业面源污染动态监控系统的建立和运行

提出建立农业面源污染动态监控系统的技术构思,构筑了“辽宁省农业面源污染动态监控系统”的功能及运行机制的构架,阐述了推进此动态监控系统完善的研究方案与系统实施的保证措施。     

高精度管道泄漏监测报警定位系统应用

高精度管道泄漏监测报警定位系统是基于管理中心平台上集成了次声波泄漏监测定位技术、最新的卫星定位技术和通讯技术为一体的管道泄漏监测系统.通过在孤东采油厂原油外输线的研发应用,能够准确的监测到原油管线泄漏点,为打击盗油行为,提供了有力保障.     

犀浦校区室内空气中甲醛污染现状

为保证西南交通大学犀浦校区广大学生和教师有一个安全健康的学习和工作环境,避免受到室内环境污染的影响,在问卷调查的基础上,确定了具有代表性的室内甲醛监测点,进行了室内环境中的甲醛浓度监测。根据监测结果,从装饰装修工程、室内环境检测验收等方面提出了具体的要求和措施,可为犀浦校区后续建设提供指导。     

A Structural Equation Model of Residents’ Support for Mega Event

Abstract

The aim of this article is to develop a structural equation model to assess key factors of residents’ support for hosting mega event based on previous literature. The model consisted of five latent constructs and eight path hypotheses. A survey was conducted in Shanghai before 2010 World Expo. It was found that the support for mega events is affected directly and/or indirectly by four determinants factors: perceived benefits, perceived costs, personal benefits and community attachment, and support relies heavily on perceived benefits rather than costs. This study contributes to the existing body of knowledge in an attempt to understand local residents’ support for a mega event in different economic and cultural settings.