一株嗜盐聚磷菌的筛选及除磷性能初探

从运行稳定的以生活污水为碳源的污泥中富集分离,并筛选出一株嗜盐聚磷菌qdp05,通过对菌株的形态、生理生化特征及16SrDNA序列进行分析后,鉴定该菌株qdp05为肠杆菌属.当碳源为乙酸钠,盐度为2%的条件下,好氧条件下培养48h后,qdp05对磷的最终去除率为87.8%.在厌氧好氧连续培养过程,qdp05表现出明显的...     

利用PCR-DGGE溯源典型农村塘坝饮用水中的污染

以华南地区典型农村塘坝饮用水为研究对象,采用基于大肠杆菌的两种特异性基因(β-D-葡萄糖苷酶编码基因uidA和膜外周磷通道蛋白编码基因phoE)的群体差异分析(PCR-DGGE),对饮用水中的污染情况进行了溯源研究.结果表明,采用富集培养的混合菌体DNA作为模板扩增大肠杆菌特异性基因更加实用.uidA和phoE的引物均...     

1株脱氮除磷菌的筛选及其特性研究

采用YG培养基,结合蓝白斑筛选、异染粒染色及好氧除磷能力检测等实验,从城市生活污水处理厂好氧生化池的活性污泥中分离出7株好氧除磷菌;再经硝酸盐还原产气和缺氧培养实验,筛选出1株高效脱氮除磷菌;通过16S rRNA基因同源性比较和生理生化鉴定,初步将其鉴定为Pseudomonas grimontii,命名为C18.菌株C18在好氧培养24h后,培养基中上清液磷浓度从38.7mg/L降低到2.28mg/L,除磷率达94.1%.C18在缺氧培养24h后,培养基中上清液磷浓度从44.5mg/L降低到5.21mg/L,除磷率达88.3%;上清液硝酸盐氮浓度从184.2mg/L降低到30.6mg/L,脱氮率达83.4%.菌株C18最适脱氮除磷温度为30℃;最适脱氮除磷pH为7.5.     

碳源变化对降解2,4-D的好氧颗粒污泥性能及形态的影响

在长期运行的序批式生物反应器(SBR)中,考察了以葡萄糖和2,4-二氯苯氧乙酸(2,4-D)为混合碳源培养的好氧颗粒污泥在转换为2,4-D唯一碳源废水后,其形态、结构及对目标污染物去除功能的变化.结果表明,基质转换为2,4-D单一碳源后,好氧颗粒污泥仍保持了对目标污染物高效的去除能力.当进水2,4-D浓度为361～564mg/L,其去除率为99.2%～100%,COD平均去除率达到85.6%.混合碳源向2,4-D单一碳源转换对原好氧颗粒结构产生一定破坏作用,使其发生部分解体,粒径由513μm下降到302μm.但好氧颗粒污泥良好的耐负荷冲击使其保持了颗粒主体,通过一段时间适应调整后能够重新聚集生长,最终获得能够利用2,4-D为唯一碳源生长并具有良好沉降性(SVI20～40mL/g)的好氧颗粒污泥,粒径为489μm.扫描电子显微镜(SEM)观察结果表明,混合碳源转向单一碳源使好氧颗粒生物相丰富度降低.     

酸化液对厌氧释磷好氧吸磷速率的影响研究

采用序批式试验研究了酸化液对聚磷菌厌氧释磷好氧吸磷速率的影响。同一活性污泥混合液中聚磷菌的释磷潜力相当,混合液中挥发性脂肪酸越多则越有利于激发聚磷菌的释磷潜能。酸化液投加量越大,对应的混合液中聚磷菌的平均释磷速率也越大。当酸化液投加量为30 mg/L(以TOC计)时,聚磷菌的平均释磷速率达0.137 mg/(mg.d),是未投加酸化液工况的3.26倍。聚磷菌厌氧释磷过程中,活性污泥的MLVSS值逐渐增大,而MLSS值却不断减小,这是由聚磷菌释磷反应过程中聚磷颗粒和糖原的消耗,以及PHB的生成而产生的。碳源充足与否,对聚磷菌的平均好氧吸磷速率影响不大,研究各工况中,聚磷菌的平均吸磷速率在0.129~0.160 mg/(mg.d)内。碳源越充足,则聚磷菌在好氧吸磷反应持续的时间越长,因此,具有更强的超量吸磷能力。酸化液投加量为20 mg/L时(以TOC计),聚磷菌在好氧吸磷结束时,出水的SP浓度能减少到0.5 mg/L以下。     

建阳市农业面源污染调查与防治对策研究

就目前建阳市农业面源污染的现状进行调查,并提出防治对策。     

一次环境污染司法鉴定的测试与分析

受人民法院的委托,环境监测部门对一起汽车尾气致人死亡案件的现场进行大气污染物和空气质量的模拟测试。测试表明,在密闭的车库内,汽车外和汽车内CO浓度都会迅速增加,达到致人死亡的浓度,O2浓度迅速减少,最终使汽车发动机熄火。测试为司法部门提供案件审理现场空气质量数据,也提醒人们不要在密闭的车库内开启汽车空调取暖或纳凉休息。     

环境管理过程中对锅炉型号的识别

通过对锅炉型号的简要介绍,提高对锅炉的认识,增强在污染源动态更新调查表的填报过程中锅炉技术指标的填报能力是十分必要的。     

岩溶地下河系统中有机氯的分布特征与来源分析

选取重庆老龙洞、青木关岩溶地下河为研究对象,采用气相色谱仪-微池电子捕获检测器(GC-μECD)分析两条地下河水体中21种有机氯农药(OCPs)的浓度.结果表明,南山地下河中六六六(HCHs)和艾氏剂类化合物(ALDs)是主要检出物,青木关地下河中HCHs和甲氧滴滴涕是主要检出物.南山、青木关地下河中均未检出o,p'-DDE、p,p'-DDE、o,p'-DDD,同时,青木关地下河还未检出o,p'-DDT、狄氏剂,其余OCPs在两条地下河中检出率高达100%.青木关地下河中OCPs浓度范围为145~278 ng·L-1之间,平均值为213 ng·L-1;南山老龙洞地下河中OCPs浓度介于17.7~40.8 ng·L-1之间,平均值为32.7ng·L-1.两条地下河中各OCPs组分表现为地下河出口大于入口.通过对OCPs污染来源分析,发现两地下河流域滴滴涕(DDTs)主要来自于历史上工业DDTs输入,氯丹主要来自于大气沉降.六六六(HCHs)主要来源是林丹的输入,南山地下河属于历史污染,青木关地下河上游的甘家槽有新的HCHs输入.与国内外其他各水体相比,南山地下河水体中HCHs、DDTs浓度处于低水平;青木关下河处于中等偏高水平.结合中外用水卫生标准,发现南山地下河和青木关地下河未超过饮水安全标准.青木关应禁止农田施用有机氯农药,保护地下河生态环境.     

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.