水华蓝藻生物质对Cu~(2+)的吸附动力学及吸附平衡研究

文章初步研究了水华蓝藻生物质对重金属离子Cu2+的吸附特性,包括生物吸附动力学和吸附等温线。生物吸附动力学结果表明,Cu2+的生物吸附可分为两个阶段,第一个阶段能较快地达到平衡,而之后的阶段进行缓慢。透析袋处理的蓝藻生物质在不同pH(3,4,5,6)的铜离子溶液条件下,吸附效率依次为62.4%,78.1%,71.2%,60.35%,吸附最大值为7.81 mg/g。水华蓝藻生物质对Cu2+的生物吸附平衡等温线可以用Freundlich模型精确拟合。水华蓝藻生物质在处理低浓度的含Cu2+废水方面有潜力。湖泊富营养化的优势在于产生低成本的、大量的、可收集的水华,这说明自然环境中的藻类资源如蓝藻水华生物质,可能作为商业中使用的生物吸附剂。     

戊唑醇残留分析方法实验室内质量控制研究

文章确立了小麦、香蕉中戊唑醇残留检测方法,小麦样品加水10 mL用丙酮为萃取溶剂,石油醚液液分配,中性氧化铝柱层析净化,用气相色谱(GC-NPD)检测。香蕉样品加水5 mL用丙酮为萃取溶剂,石油醚液液分配,浓缩后用气相色谱(GC-NPD)检测。分别设置不同时间批次,同一批次间的平行样及实验室内人员分析,分别从方法灵敏度、方法准确度、方法精密度及其质量控制图、标准工作液的稳定性来探讨该方法的可靠性,结果表明该方法可以作为香蕉和小麦种戊唑醇残留检测的标准分析方法。     

污水厂进水氮指标选取的讨论

氨氮污染物对水环境的综合影响较大,继化学需氧量之后,其有望在"十二五"纳入全国主要水污染物排放约束性控制指标.首先阐述了选取各种氮指标作为污水处理厂氨氮削减量考核指标的可行性.再通过列举苏州新区第一污水厂(改造前)进水中各种氮指标数据,对所做分析加以证明,最后给出结论并提出建议.     

关于区域性污水收集处理系统的一些建议

对太湖流域小城镇污水收集处理系统的现状进行了分析,找出了目前污水收集处理系统存在的主要问题,并根据太湖流域相关污水治理要求提出了区域性污水收集处理的方案,同时结合目前工程规划建设的实际对该方案的实施提出了一些合理性建议.     

煤炭开发建设项目环境影响后评价初步研究

环境影响后评价作为环境影响评价的延伸,是提高环评有效性的有力手段,目前我国环境影响后评价仍处于起步阶段,其理论和实践都具有很强的探索性。煤炭在我国的能源地位突出,但对煤炭开采建设项目的环境影响后评价研究甚少,文章介绍了国内外环境影响后评价的研究进展,并针对煤炭项目,通过识别煤炭开采的环境影响,概述了其评价指标的选取原则、指标体系的构建和评价方法。     

氧化沟工艺污水处理厂的调试运行

以安徽某县污水处理厂的改良氧化沟工艺调试为例,采用自然培菌和间歇培养相接合的方式进行调试,结果表明方法可行。在进水COD100mg/L时,MLSS在1500mg/L时,出水COD、NH4-N均可取得较好的处理效果。同时对调试过程中的各环节如人员培训、带负荷试车、污泥培养等进行了详细阐述,并确定了各工艺段的控制参数。     

苯酚对活性污泥活性及微型动物群落结构的影响

为了探究苯酚对污泥活性及微型动物群落结构的影响,以SBR工艺的活性污泥为研究对象,分析苯酚对污泥TTC-ETS活性、INT-ETS活性和微型动物群落结构及其动态变化的影响.结果表明,污泥TTC-ETS活性较之INT-ETS活性能够更有效表征有机毒害物质苯酚对污泥活性的影响,且随着进水苯酚浓度的增大,苯酚对污泥活性的抑制越明显:进水浓度在50mg·L-1时,苯酚对污泥活性的抑制率为(20.75±10.43)%.进水苯酚浓度为100 mg·L-1时,抑制率为(39.73±26.92)%,且波动较大.在300 mg·L-1进水运行后期,苯酚对污泥活性的抑制率稳定在40%左右;苯酚对活性污泥微型动物群落结构的影响随浓度的增大而增大,且对不同微型动物类群影响不同:在低浓度苯酚进水条件下,只有单个微型动物类群(有壳变形虫)受到明显的抑制,而当浓度增大至100 mg·L-1和300 mg·L-1时,对多个微型动物类群(固着型纤毛虫、有壳变形虫、匍匐型纤毛虫、肉食性纤毛虫等)产生抑制,对少数类群(鞭毛虫、线虫等)产生促进作用;苯酚影响下的污泥活性与微型动物之间存在一定的关联性,针棘匣壳虫(Centropyxis aculeata)、多变斜板虫(Plagiocampa mutabilis)等可作为含酚废水处理过程中污泥活性低的指示生物,湖累枝虫(Epistylis lacustris)、软波豆虫(Bodo lens)、跳侧滴虫(Pleuromonas jaculans)等可作为污泥活性高的指示生物.     

基于快速聚类方法分析常州市区PM2.5的统计特性

运用统计方法研究常州市区2013~2014年6个国控点六项基本污染物(SO_2、NO_2、CO、O_3、PM_(2.5)和PM_(10))月平均浓度变化,结果表明,除O_3外,其它五项污染物月平均浓度夏季较低冬季较高.颗粒物与风速之间的关系为PM_(2.5)浓度随风速的升高一直降低,PM_(10)随风速的升高浓度先降低后升高.采用快速聚类分析(k-means)并运用SWV和DIV指数对六项基本污染物进行分类,得到4个样本分类.与依据颗粒物化学成分或粒径谱对PM进行源解析方法不同,本研究更多是从PM_(2.5)与其它污染物相关关系以及污染程度等角度按照欧式距离进行分类.不同类中PM_(2.5)来源明显不同,类1中PM_(2.5)与化石燃料燃烧排放密切相关,类2与O_3密切相关,类3与城市不完全燃烧排放、区域灰霾污染密切相关,类4可以归类于城市"背景"类.快速聚类分析结果也表明常州市区PM_(2.5)有着复杂的来源.     

Characteristics of atmospheric particles and heavy metals in winter in Chang-Zhu-Tan city clusters, China

To understand the pollution characteristics of atmospheric particles and heavy metals in winter in Chang-Zhu-Tan city clusters, China, total suspended particulate(TSP) and PM10samples were collected in cities of Changsha, Zhuzhou and Xiangtan from December 2011 to January 2012, and heavy metals of Cd, Pb, Cr, and As were analyzed. It shows that the average TSP concentration in Changsha, Zhuzhou and Xiangtan were(183 ± 73),(201 ± 84) and(190 ± 66) μg/m3respectively, and the average PM10 were(171 ± 82),(178 ± 65) and(179 ± 55) μg/m3respectively. The lowest TSP and PM10concentrations occurred at the background Shaping site of Changsha. The average ratio of ρ(PM10)/ρ(TSP) was 91.9%, ranging from 81.3% to 98.9%. Concerning heavy metals, in TSP samples, the concentration of Cr, As, Cd and Pb were 28.8–56.5, 18.1–76.3, 3.9–26.1 and 148.0–460.9 ng/m3, respectively, while in PM10samples, were 16.4–42.1, 15.5–67.9, 3.3–22.2 and 127.9–389.3 ng/m3, respectively. The enrichment factor of Cd was the highest, followed by Pb and As, while that of Cr was the lowest.     

Community structure and elevational diversity patterns of soil Acidobacteria

Acidobacteria is one of the most dominant and abundant phyla in soil,and was believed to have a wide range of metabolic and genetic functions. Relatively little is known about its community structure and elevational diversity patterns. We selected four elevation gradients from 1000 to 2800 m with typical vegetation types of the northern slope of Shennongjia Mountain in central China. The vegetation types were evergreen broadleaved forest,deciduous broadleaved forest,coniferous forest and sub-alpine shrubs. We analyzed the soil acidobacterial community composition,elevational patterns and the relationship between Acidobacteria subdivisions and soil enzyme activities by using the 16 S rRNA meta-sequencing technique and multivariate statistical analysis. The result found that 19 known subdivisions as well as an unclassified phylotype were presented in these forest sites,and Subdivision 6 has the highest number of detectable operational taxonomic units(OTUs). A significant single peak distribution pattern(P 0.05) between the OTU number and the elevation was observed. The Jaccard and Bray–Curtis index analysis showed that the soil Acidobacteria compositional similarity significantly decreased(P 0.01) with the increase in elevation distance. Mantel test analysis showed the most of the soil Acidobacteria subdivisions had the significant relationship(P 0.01) with different soil enzymes. Therefore,soil Acidobacteria may be involved in different ecosystem functions in global elemental cycles. Partial Mantel tests and CCA analysis showed that soil pH,soil temperature and plant diversity may be the key factors in shaping the soil Acidobacterial community structure.