SBR法培养好氧颗粒污泥的实验研究

以沈阳市某污水处理厂普通絮状活性污泥为接种污泥,采用人工配制的模拟废水,在SBR反应器中进行好氧颗粒污泥培养实验研究。结果表明:通过运行方式的调整及参数的改变,在第33 d培养出成熟的好氧颗粒污泥,污泥粒径在2~3 mm左右;在一次曝气后增加静置缺氧段,有利于脱氮,系统中COD、NH3-N去除率可分别达到93%和92%;好氧颗粒污泥系统中含有大量的原生动物和后生动物,系统中污泥状态良好,处理效果好。采用逐步提高生活污水比例的方法对颗粒污泥进行驯化,当生活污水的比例达到100%时,系统出水COD50mg/L,NH3-N5 mg/L,达到GB18918—2002一级A出水标准。     

太湖风生流水动力时空差异特征研究

为研究太湖的流场结构,更好实施引清调水方案改善太湖水质。在确定太湖四季主导风向及其平均风速的基础上,采用有限体积Godunov型通量差分裂(FDS)格式构建太湖水动力模型,并得到了实测流场的良好验证。并进一步研究各季节各湖区的流动规律,确定太湖风生流水动力时空差异特征。结果表明:太湖风生流流态特征主要与风向、风速有关;不同季节平均流速由大到小分别为:冬季、春季、秋季、夏季;从不同的湖区看,湖岸区最大、湖湾区次之、湖心区最小。由此可选择冬季、湖岸区实施调水方案改善太湖水质。     

复合重金属污染场地分类方法在某污染场地的实践应用

概述了复合重金属污染场地分类方法与技术指标体系,结合沈阳某复合重金属污染场地治理项目实施的实例,针对多种重金属的复合场地通过确定不同的污染程度,以便对重度、中度、轻度污染的土壤分别采用不同的治理与修复方法,确保实现治理与修复工程环境安全、技术先进和经济可行的三者统一。     

南京居民的雾霾风险认知及应对行为调查研究

雾霾灾害严重影响了居民的生活,使得民众不得不对其加以认识和了解.通过问卷的方式对南京居民的雾霾风险认知状况进行调查发现,南京居民对雾霾风险的认知程度并不高.主要表现在:居民无法区分PM2.5与雾霾之间的确切差异;居民的雾霾成因认知存在偏差;但居民对雾霾后果及其主体责任的认知较为清晰.另外,在日常生活中,居民通过佩戴口罩、改变饮食、调整户外活动和进行健康支付等一系列行为方式来防止自雾霾的侵害,居民表现出较高的防霾积极性.     

Studying developmental neurotoxic effects of bisphenol A (BPA) using embryonic stem cells

There is little to no toxicity information regarding thousands of chemicals to which people are exposed daily. In fact, of the 84,000 chemicals listed in the United States Toxic Substances Control Act Inventory, there is limited information available on their effects on neural development (Betts, 2010 and US EPA, 2015). The number of chemicals tested remains low due to the high cost of conducting multi-generational animal studies and the lack of alternative testing methods.     

Design and demonstration of a next-generation air quality attainment assessment system for PM2.5 and O3

Due to the increasingly stringent standards, it is important to assess whether the proposed emission reduction will result in ambient concentrations that meet the standards. The Software for Model Attainment Test—Community Edition (SMAT-CE) is developed for demonstrating attainment of air quality standards of O₃ and PM_2.5. SMAT-CE improves computational efficiency and provides a number of advanced visualization and analytical functionalities on an integrated GIS platform. SMAT-CE incorporates historical measurements of air quality parameters and simulated air pollutant concentrations under a number of emission inventory scenarios to project the level of compliance to air quality standards in a targeted future year. An application case study of the software based on the U.S. National Ambient Air Quality Standards (NAAQS) shows that SMAT-CE is capable of demonstrating the air quality attainment of annual PM_2.5 and 8-hour O₃ for a proposed emission control policy.     

光催化技术在功能性空气过滤材料中的应用研究

针对目前气态污染物和气溶胶态污染物对人们生活健康产生的巨大危害,论述了目前国内外光催化技术在功能性空气过滤材料中的研究,阐述了光催化技术和纤维过滤技术的基本原理,并对光催化剂在纤维上的负载和应用做了详细介绍,最后提出了该领域可能的发展方向。     

Design and demonstration of a next-generation air quality attainment assessment system for PM2.5 and O3

Due to the increasingly stringent standards, it is important to assess whether the proposed emission reduction will result in ambient concentrations that meet the standards. The Software for Model Attainment Test—Community Edition (SMAT-CE) is developed for demonstrating attainment of air quality standards of O₃ and PM_2.5. SMAT-CE improves computational efficiency and provides a number of advanced visualization and analytical functionalities on an integrated GIS platform. SMAT-CE incorporates historical measurements of air quality parameters and simulated air pollutant concentrations under a number of emission inventory scenarios to project the level of compliance to air quality standards in a targeted future year. An application case study of the software based on the U.S. National Ambient Air Quality Standards (NAAQS) shows that SMAT-CE is capable of demonstrating the air quality attainment of annual PM_2.5 and 8-hour O₃ for a proposed emission control policy.     

Sulfide elimination by intermittent nitrate dosing in sewer sediments

The formation of hydrogen sulfide in biofilms and sediments in sewer systems can cause severe pipe corrosions and health hazards, and requires expensive programs for its prevention. The aim of this study is to propose a new control strategy and the optimal condition for sulfide elimination by intermittent nitrate dosing in sewer sediments. The study was carried out based on lab-scale experiments and batch tests using real sewer sediments. The intermittent nitrate dosing mode and the optimal control conditionwere investigated. The results indicated that the sulfide-intermittent-elimination strategy by nitrate dosing is advantageous for controlling sulfide accumulation in sewer sediment. The oxidation-reduction potential is a sensitive indicator parameter that can reflect the control effect and the minimum N/S (nitrate/sulfide) ratiowith slight excess nitrate is necessary for optimal conditions of efficient sulfide controlwith lower carbon source loss. The optimal control condition is feasible for the sulfide elimination in sewer systems.     

Salinity influence on soil microbial respiration rate of wetland in the Yangtze River estuary through changing microbial community

Estuarine wetland, where freshwater mixes with salt water, comprises different regions（rivers and marine ecosystems） with significantly varying tidal salinities. Two sampling areas, ZXS and JS, were selected to investigate the effect of tidal salinity on soil respiration（SR）. ZXS and JS were located in Zhongxia Shoal and Jiangyanan Shoal of Jiuduansha Wetland respectively, with similar elevation and plant species, but significantly different in salinity. The results showed that with almost identical plant biomass, the SR and soil microbial respiration（SMR） of the tidal wetland with lower salinity（JS） were significantly higher than those of the tidal wetland with higher salinity（ZXS）（p 〈 0.05）. However, unlike SMR and SR, the difference in the soil microbial biomass（SMB） was not significant（p 〉 0.05）with the SMB of ZXS a little higher than that of JS. The higher SMR and SR of JS may be closely connected to the soil microbial community structures and amount of dominant bacteria. Abundant β- and γ-Proteobacteria and Actinobacteria in JS soil, which have strong heterotrophic metabolic capabilities, could be the main reason for higher SMR and SR,whereas a high number of ε-Proteobacteria in ZXS, some of which have carbon fixation ability, could be responsible for relatively lower carbon output. Path analysis indicated that soil salinity had the maximum negative total influencing coefficient with SMR among the various soil physical and chemical factors, suggesting that higher soil salinity, restricting highly heterotrophic bacteria, is the principle reason for lower SMR and SR in the ZXS.