城市污水培养好氧颗粒污泥的中试研究

以城市污水为处理对象,在中试SBR反应器中接种厌氧消化污泥,经过210 d运行,培养出了平均粒径在330μm的好氧颗粒污泥.实验表明,经过前3个月较低的进水有机负荷,反应器对污染物的去除效果逐步提高并达到稳定,活性污泥中与脱氮除磷相关的微生物大量富集.运行周期缩短为6 h,污泥的沉降性能和污染物去除特性保持良好,同时污泥平均粒径开始增大.好氧颗粒污泥完全形成以后,SVI值为30 mL.g-1,污泥浓度MLSS达到8.8 g.L-1,MLVSS/MLSS增至82%,氧利用速率OUR达到5.32 mg.(min.L)-1.颗粒外层以杆状菌为主,内层主要是球菌.单个周期内颗粒污泥对COD和总磷的去除率保持在90%,氨氮几乎完全去除,出水中无硝氮和亚硝氮累积,总氮的去除率达到80%,实现了良好的同步硝化反硝化和同步脱氮除磷效果.     

ZnOOH/O3催化臭氧化体系去除水中痕量对氯硝基苯

以实验室制备的羟基化锌（ZnOOH）为催化剂,考察了其催化臭氧化去除水中痕量对氯硝基苯（ppCNB能力.本实验条件下,蒸馏水中反应20　min时,催化臭氧化比单独臭氧化对pCNB的去除率提高了51 .3个百分点;催化过程遵循自由基反应机理,催化剂表面结合的羟基基团有利于催化反应;pCNB的去除效果随催化剂投量的增加而更佳,催化剂重复使用3次后,催化效果基本没有变化,水中的重碳酸盐以及缓冲溶液中的磷酸盐可以明显降低催化活性,中性条件下,催化作用最佳.     

矿区可持续发展能力建设中生态环境管理研究

实现矿区的可持续发展有赖于发展模式的转变,转变传统的生态环境管理的基本观念,提出要完善和优化矿区的生态环境管理体制,建立矿区"环境-资源-经济"信息管理系统和生态环境综合分析决策模型,寓经济发展于环境管理中,寓环境管理建设于经济发展中,寓矿区发展于环境和经济的协调发展之中,推进矿区持续发展,为矿区环境保护和经济发展建立一个和谐的可持续发展模式.     

应用分子生物学与同位素示踪技术研究厌氧氨氧化菌活性及功效

厌氧氨氧化是一个新发现的氮循环途径,与反硝化作用都产生氮气,但准确衡量厌氧氨氧化活性及功效的相关方法还是个难题.本研究联合应用分子生物学与同位索示踪技术,以北京某污水处理厂的活性污泥为实验样品,研究其中厌氧氨氧化菌的存在、活性和功效.厌氧氨氧化菌的分子生物学分析是通过16S rRNA进行,选择两步引物分别为pla46-...     

潮汐流人工湿地低温下 NH4+ -N去除模型的比较和优化

针对目前人工湿地在低温条件下脱氮效能降低的问题,本研究对每天3个运行周期的潮汐流人工湿地在低温条件下对NH4+ -N的处理效能进行研究,同时利用表观动力学模型、多元参数回归模型及Monod机制模型对NH4+-N的去除过程进行拟合.结果显示,在平均水温为9～13℃条件下,每天3个运行周期的潮汐流人工湿地对NH4+-N有良...     

四川某中小城镇污水处理厂进水水质统计分析

生活污水水质对处理工艺的选择、设计参数的选取以及稳定运行十分重要。运用SPSS软件,对四川某中小城镇污水处理厂为期一年的进水指标(水量、COD、氨氮、总磷、pH、SS)进行方差和相关性分析。方差分析结果显示进水量、氨氮和SS在月份和季节之间存在显著性差异,而总磷和pH仅在月份之间存在显著差异,COD在季度和月份之间无显著性差异;指标相关性分析表明,进水量和氨氮之间呈负相关,氨氮和总磷、COD和总磷之间呈正相关,且相关性显著。在此分析的基础上对污水处理厂设计、工艺选择及运行管理提出了一些建议。     

酵母融合菌对Cr的吸附性能及机理分析

研究了酵母融合菌R32对Cr的吸附性能及机理.结果表明,该菌对Cr(Ⅵ)有着很好的吸附效果,最佳吸附条件为pH≤3,投菌量为l0g/L(含水率(78±2)%),吸附温度30～35℃,Cr(Ⅵ)的初始浓度≤20mg/L.当Cr(Ⅵ)的初始浓度为10mg/L时,总铬及Cr(Ⅵ)的去除率达93.7%和96.5%,总铬的残留浓...     

彭水电站蓄水前后鱼类群落多样性特征

根据2006-2008年9-10月渔业资源动态监测资料,分析研究了彭水电站蓄水前后坝上和坝下江段鱼类群落结构变化及其生物多样性变化特征.研究结果表明:3次监测中,调查江段出现的鱼类共有9科44属63种,其中长江上游特有鱼类22种;渔获物中,群体数量主要由体重＜50 g的小型鱼类和幼鱼组成,而群体重量主要由＜500g的中...     

电动生物修复湖泊底泥中直链烷基苯磺酸钠

直链烷基苯磺酸钠(Linear Alkylbenzene Sulfonates,LAS)是环境中最常见的具有代表性的一类有机污染物,城市湖泊长期以来接纳了大量的污染物,致使底泥沉积了大最的LAS.采用电动生物复合技术修复东湖底泥中LAS,由于其LAS含量过高,当直接添加芽孢杆菌降解LAS时,发现无明显的降解效果.经过驯...     

Compositions and sources of organic acids in fine particles (PM2.5) over the Pearl River Delta region, south China

Organic acids as important constituents of organic aerosols not only influence the aerosols' hygroscopic property, but also enhance the formation of new particles and secondary organic aerosols. This study reported organic acids including C14–C32fatty acids, C4–C9dicarboxylic acids and aromatic acids in PM2.5collected during winter 2009 at six typical urban, suburban and rural sites in the Pearl River Delta region. Averaged concentrations of C14–C32fatty acids, aromatic acids and C4– C9 dicarboxylic acids were 157, 72.5 and 50.7 ng/m3, respectively. They totally accounted for 1.7% of measured organic carbon. C20–C32fatty acids mainly deriving from higher plant wax showed the highest concentration at the upwind rural site with more vegetation around, while C14–C18fatty acids were more abundant at urban and suburban sites, and dicarboxylic acids and aromatic acids except 1,4-phthalic acid peaked at the downwind rural site. Succinic and azelaic acid were the most abundant among C4–C9dicarboxylic acids, and 1,2-phthalic and 1,4-phthalic acid were dominant aromatic acids. Dicarboxylic acids and aromatic acids exhibited significant mutual correlations except for 1,4-phthalic acid, which was probably primarily emitted from combustion of solid wastes containing polyethylene terephthalate plastics. Spatial patterns and correlations with typical source tracers suggested that C14–C32fatty acids were mainly primary while dicarboxylic and aromatic acids were largely secondary. Principal component analysis resolved six sources including biomass burning, natural higher plant wax, two mixed anthropogenic and two secondary sources; further multiple linear regression revealed their contributions to individual organic acids. It turned out that more than 70% of C14–C18fatty acids were attributed to anthropogenic sources, about 50%–85% of the C20–C32fatty acids were attributed to natural sources, 80%–95% of dicarboxylic acids and 1,2-phthalic acid were secondary in contrast with that 81% of 1,4-phthalic acid was primary.