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。     

我国城市污水处理

我国城市污水处理的现状以及当前全国城市污水厂普遍应用的污水处理工艺,在选择城市污水处理工艺时应考虑资金及土地资源方面的问题,通过开发新型高效污水处理工艺提高污水净化率和污水处理量。同时通过建立和完善城市污水处理制度,提高城市居民环保意识,污水处理走向市场化,实现社会与政府的共赢。     

FRP加固震损RC柱建模方法及骨架模型研究

为研究震损RC柱采用FRP(Fiber Reinforced Polymer,FRP)加固修复后的抗震性能,本文基于OpenSees仿真平台,根据震后RC柱的表观损伤状态提出FRP加固震损RC柱的有限元模型建立方法。对FRP加固震损RC柱进行5120种工况的Pushover分析,采用三折线荷载-位移骨架曲线,研究损伤状态对骨架曲线特征点参数的影响规律,并通过数据回归分析提出FRP加固震损RC柱的骨架曲线计算模型。分析结果表明:损伤会降低FRP加固RC柱的承载力及刚度,且降低程度随损伤指数的增大而增加,两者近似成抛物线关系;在DS-5损伤状态下,相比于FRP加固完好RC柱,FRP加固震损RC柱的屈服承载力P y、峰值承载力P c、弹性刚度K 1、弹塑性刚度K 2及下降段刚度K 3的均值下降17.9%、14.5%、41.8%、43.1%和19.9%;损伤对FRP加固RC柱弹性刚度和弹塑性刚度的降低程度明显高于屈服承载力和峰值承载力;文中提出的FRP加固震损RC柱骨架曲线计算模型具有较高精度。     

菌株Desulfovibrio sp. CMX的DNRA性能和影响因素

微生物的硝酸盐异化还原为铵(DNRA)过程对自然界中铵根离子的存在和转化具有重要影响,然而关于SRB菌株DNRA过程影响和机制尚未探明.本文考察了实验室筛选的SRB菌株Desulfovibrio sp.CMX的DNRA能力、影响因素及其影响机制.结果表明,无外加氮源的情况下,分别以10 mmol·L-1NO_3~-和NO_2~-作为唯一电子受体,菌株Desulfovibrio sp.CMX最终NH_4~+生成率分别达到85.8%和97.3%,且无N2和N2O等副产物产生.实验探究了不同外加氮源、不同初始浓度的SO_4~(2-)、S~(2-)对菌株DNRA过程的影响.酵母浸粉作为外加氮源可促进菌株的生长和代谢从而促进菌株DNRA过程;SO_4~(2-)对于NO_3~-还原为NO_2~-阶段起促进作用,而对NO_2~-还原为NH_4~+阶段起抑制作用,综合两方面影响,最终表现出对菌株DNRA过程的抑制作用;S~(2-)对菌株生长及DNRA过程都表现出抑制作用,且S~(2-)浓度越高抑制作用越强,当S~(2-)浓度达到6 mmol·L-1后,S~(2-)对于NO_3~-还原为NO_2~-阶段的抑制作用强于NO_2~-还原为NH_4~+阶段的抑制作用,NO_3~-还原为NO_2~-速率低于NO_2~-还原为NH_4~+速率,此时体系中不再有NO_2~-的积累.     

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.     

聚硅酸对不同形态铝沉积行为的影响

针对给水管网中残余铝沉积和再溶解现象可能引起的水质问题,研究了聚硅酸对不同水解聚合形态铝沉积、再溶解的影响,并以石英微晶天平为表征手段,初步探讨了聚硅酸对不同形态铝沉积、再溶解过程影响的机理.结果表明,聚硅酸能显著改变不同水解聚合形态铝的沉积、再溶解行为.聚硅酸可与3种水解聚合形态的铝迅速结合而生成可沉积产物,但产物性质不同.以单体形态为主的Al_0与聚硅酸的反应产物性质较稳定,部分以溶解态存在,部分以非溶解态(可沉积态)存在;尽管铝的两种聚合形态Al_(13)和Al_(30)与聚硅酸反应也生成了部分可沉积产物,但随着时间的推移,这些产物又逐渐向溶解态转化.铝硅比对Al_0体系中铝的沉积溶解行为影响较小,而对Al_(13)和Al_(30)影响较大,且在0.2∶20(以Al和SiO_2计的质量比)时,沉积态铝的溶解速率最快.     

2-丁烯醛生产废水中溶解性有机物的分级解析

采用超滤膜法将2-丁烯醛生产废水中的有机物分为相对分子质量不同的7个级分,并应用溶解性有机碳(dissolved organic carbon,DOC)、紫外吸收光谱(ultraviolet spectrum,UV)、傅里叶变换红外光谱(fourier transform infrared spectrometer,FT-IR)和气相色谱/质谱联用仪(gas chromatography with mass spectrometry,GC-MS)技术对不同相对分子质量区间的有机物所占比例及物质结构进行了研究.结果表明,废水中相对分子质量1×103的有机物所占比例最高,达到88.57%;采用GCMS对废水中相对分子质量1×103的级分进行分析,定性出27种化合物,包含醛、酮、酯、醇、酚、酸、烷烃类及其他苯系物等,其峰面积占有机物峰面积总和的比例分别为6.9%、5.3%、35.4%、13.2%、4.6%、0.4%、1.7%、16.8%,总和为84%.UV和FT-IR分析结果均显示不同相对分子质量区间的光谱吸收特征没有明显差别,级分中存在含有不饱和双键、羟基、羰基化合物及芳香族化合物,与GC-MS检测结果相吻合.研究结果为废水处理工艺的开发与优化提供了重要的指导作用.     

Debromination of decabromodiphenyl ether by organo-montmorillonite-supported nanoscale zero-valent iron：Preparation, characterization and influence factors

An organo-montmorillonite-supported nanoscale zero-valent iron material(M-NZVI) was synthesized to degrade decabromodiphenyl ether(BDE-209). The results showed that nanoscale zero-valent iron had good dispersion on organo-montmorillonite and was present as a core-shell structure with a particle size range of nanoscale iron between 30–90 nm, characterized by XRD, SEM, TEM, XRF, ICP-AES, and XPS. The results of the degradation of BDE-209 by M-NZVI showed that the efficiency of M-NZVI in removing BDE-209 was much higher than that of NZVI. The efficiency of M-NZVI in removing BDE-209 decreased as the pH and the initial dissolved oxygen content of the reaction solution increased, but increased as the proportion of water in the reaction solution increased.     

Primary neuronal-astrocytic co-culture platform for neurotoxicity assessment of di-(2-ethylhexyl) phthalate

Plastics such as polyvinyl chlorides （PVC） are widely used in many indoor constructed environments; however, their unbound chemicals, such as di-（2-ethylhexyl） phthalates （DEHP）, can leach into the surrounding environment. This study focused on DEHP＇s effect on the central nervous system by determining the precise DEHP content in mice brain tissue after exposure to the chemical, to evaluate the specific exposure range. Primary neuronal-astrocyte co-culture systems were used as in vitro models for chemical hazard identification of DEHP. Oxidative stress was hypothesized as a probable mechanism involved, and therefore the total reactive oxygen species （ROS） concentration was determined as a biomarker of oxidative stress. In addition, NeuriteTracer, a neurite tracing plugin with ImageJ, was used to develop an assay for neurotoxicity to provide quantitative measurements of neurological parameters, such as neuronal number, neuron count and neurite length, all of which could indicate neurotoxic effects. The results showed that with 1 nmol/L DEHP exposure, there was a significant increase in ROS concentrations, indicating that the neuronal-astrocyte cultures were injured due to exposure to DEHP. In response, astrocyte proliferation （gliosis） was initiated, serving as a mechanism to maintain a homeostatic environment for neurons and protect neurons from toxic chemicals. There is a need to assess the cumulative effects of DEHP in animals to evaluate the possible uotake and effects on the human neuronal system from exoosure to DEHP in the indoor environment.     

Evaluation of accuracy of linear regression models in predicting urban stormwater discharge characteristics

Stormwater runoff has been identified as a source of pollution for the environment, especially for receiving waters. In order to quantify and manage the impacts of stormwater runoff on the environment, predictive models and mathematical models have been developed. Predictive tools such as regression models have been widely used to predict stormwater discharge characteristics. Storm event characteristics, such as antecedent dry days （ADD）, have been related to response variables, such as pollutant loads and concentrations. However it has been a controversial issue among many studies to consider ADD as an important variable in predicting stormwater discharge characteristics. In this study, we examined the accuracy of general linear regression models in predicting discharge characteristics of roadway runoff. A total of 17 storm events were monitored in two highway segments, located in Gwangju, Korea. Data from the monitoring were used to calibrate United States Environmental Protection Agency＇s Storm Water Management Model （SWMM）. The calibrated SWMM was simulated for 55 storm events, and the results of total suspended solid （TSS） discharge loads and event mean concentrations （EMC） were extracted. From these data, linear regression models were developed. R2 and p-values of the regression of ADD for both TSS loads and EMCs were investigated. Results showed that pollutant loads were better predicted than pollutant EMC in the multiple regression models. Regression may not provide the true effect of site-specific characteristics, due to uncertainty in the data.