不同来源废水中TOC与COD相关性研究

对纺织染整、化工、制药、食品加工各行业生产废水及城镇污水厂处理设施出水中的TOC(自动仪器监测)与COD(实验室手工分析)测定值进行回归分析,并检验一元线性回归方程的显著性和有效性。结果表明,各行业生产废水中TOC与COD值均存在非常显著的相关性,且废水组成成分越单一稳定,其相关性越好,同行业废水中TOC与COD回归方程的斜率b较为接近。利用TOC自动在线监测值换算所得的COD值,准确性和稳定性高,能满足水质实时连续监测的需要。     

某油田集输系统化学助剂中有毒物质调查与分析

采用现场调查、职业病危害因素检测等方法,对某油田集输系统化学助剂中有毒物质进行了调查和分析,在防护设施、个体防护用品方面提出针对性的建议。     

Release kinetics of vanadium from vanadium (III, IV and V) oxides: Effect of pH, temperature and oxide dose

Batch experiments were performed to derive the rate laws for the proton-promoted dissolution of the main vanadium (III, IV and V) oxides at pH 3.1–10.0. The release rates of vanadium are closely related to the aqueous pH, and several obvious differences were observed in the release behavior of vanadium from the dissolution of V₂O₅ and vanadium(III, IV) oxides. In the first 2 hr, the release rates of vanadium from V₂O₃ were r = 1.14·([H⁺])^0.269 at pH 3.0–6.0 and r = 0.016·([H⁺])^? 0.048 at pH 6.0–10.0; the release rates from VO₂ were r = 0.362·([H⁺])^0.129 at pH 3.0–6.0 and r = 0.017·([H⁺])^? 0.097 at pH 6.0–10.0; and the release rates from V₂O₅ were r = 0.131·([H⁺])^? 0.104 at pH 3.1–10.0. The release rates of vanadium from the three oxides increased with increasing temperature, and the effect of temperature was different at pH 3.8, pH 6.0 and pH 7.7. The activation energies of vanadium (III, IV and V) oxides (33.4–87.5 kJ/mol) were determined at pH 3.8, pH 6.0 and pH 7.7, showing that the release of vanadium from dissolution of vanadium oxides follows a surface-controlled reaction mechanism. The release rates of vanadium increased with increasing vanadium oxides dose, albeit not proportionally. This study, as part of a broader study of the release behavior of vanadium, can help to elucidate the pollution problem of vanadium and to clarify the fate of vanadium in the environment.     

环境态度及其与环境行为关系的文献评述与元分析

为总结梳理环境态度定义、测量方法、影响因素及其对环境行为的影响,采用文献综述与元分析（meta-analysis）的方法,检索Elsevier ScienceDirect数据库、Web of Science Core Collection数据库、中国人民大学中文学术资源发现平台和中国知网（CNKI）中有关环境态度的文献,并从检索出的652篇相关文献中筛选出202篇核心文献、提取出43篇实证文献,对环境态度与4类环境行为之间的关系进行定量分析.结果表明,从环境态度定义和测量方式来看,国内外研究者对环境态度有着诸多定义,但都集中在“情感”“信念”“行为意图与倾向”等心理学方面;环境态度的测量方式也较多,诸多测量量表被开发,其中新环境范式量表和新生态范式量表在该领域占据着重要地位.从环境态度的影响因素来看,众多研究者从心理学和社会人口学方面进行研究,国外研究者对这两大方面有着广泛研究,价值观和道德、性别、年龄、收入、教育和知识皆为研究热点,而国内研究者比较注重环境知识这一影响因素.环境态度与环境行为之间综合相关系数为0.309（P < 0.001）,环境态度与环境行为之间呈显著正相关关系.分别考察环境态度与回收行为、能源消费行为、绿色购买行为以及出行行为等4类环境行为间的关系发现,环境态度与绿色购买行为综合相关系数为0.334（P < 0.001）,高于回收行为、能源消费行为和出行行为.研究还显示,在4类环境行为中,绿色购买行为与环境态度的相关性最强:一方面,环境态度有利于促进环境行为,因此可以通过教育、宣传等干预手段提高公众的环保态度,从而促进各类环保行为.另一方面,环境态度对于不同类型环保行为的促进效果是不同的,因此为促进公众的绿色购买行为,可以考虑增加对环境态度的教育和宣传,提高公众的环境态度;而对于促进节约用水、用电等能源消费行为,则不仅需要提高公众的环境态度,还需要结合其他更有效的干预手段（如价格干预、提示标志等）.      

Theoretical study on the formation mechanism of polychlorinated dibenzothiophenes/thianthrenes from 2-chlorothiophenol molecules

Homogeneous formation of polychlorinated dibenzothiophenes/thianthrenes(PCDT/TAs),sulfurated compounds analogous to polychlorinated dibenzo-p-dioxin/dibenzofurans(PCDD/Fs), has been well-documented to occur via radical–radical coupling reactions from chlorinated thiophenol precursors. However, the current understanding of the formation mechanism of PCDT/TAs is exclusively limited to the inherent point of view that chlorothiophenoxy radicals act as the only required intermediates for PCDT/TAs. This study investigates reaction pathways for the formation of PCDT/TAs involving two new types of radical species, i.e., substituted phenyl radicals and substituted thiophenoxyl diradicals. Taking 2-chlorothiophenol(2-CTP) as a model compound for chlorothiophenols,we found that apart from the mostly discussed chlorothiophenoxy radicals, substituted phenyl radicals and substituted thiophenoxyl diradicals could also be readily formed via the reaction of 2-CTP with H radicals. Furthermore, direct self-and cross-coupling of these radicals can result in the formation of PCDT/TAs, including 1-monochlorothianthrene(1-MCTA), 1,6-dichlorothianthrene(1,6-DCTA), 4,6-dichlorodibenzothiophene(4,6-DCDT)and 1,6-dichlorodibenzothiophene(1,6-DCDT). The pathways proposed in this work are proven to be both thermodynamically and kinetically favorable. Particularly, comparisons were made between the formation mechanisms of sulfurated and oxygenated dioxin systems from an energetic point view, showing that replacing oxygen with sulfur atoms greatly reduces the activation barriers of the rate-controlling steps involved in the PCDT/TA formation processes compared with those involved for PCDD/Fs. The calculated results in this work may improve our understanding of the formation mechanism of PCDT/TAs from chlorothiophenol precursors and should be informative to environmental scientists.     

SimuLink模拟活性污泥工艺的研究

以数学软件matlab内嵌的SimuLink工具箱为研究工具,结合国际水协( IWA)提出的活性污泥一号模型(ASM1)对欧盟科学技术合作计划(COST)提供的AO标准工艺流程建立数学模型并加以模拟,将模拟结果和COST提供的标准模拟结果进行比较,在各级反应器内的两者结果基本匹配,认为模型的建立、模拟结果合理可靠,基于该工艺模型的拓展模型和变型可进一步为实际工艺的设计与运行提供参考。     

Estimation of daily PM2.5 concentration and its relationship with meteorological conditions in Beijing

When investigating the impact of air pollution on health, particulate matter less than 2.5 μm in aerodynamic diameter(PM_(2.5)) is considered more harmful than particulates of other sizes. Therefore, studies of PM_(2.5) have attracted more attention. Beijing, the capital of China,is notorious for its serious air pollution problem, an issue which has been of great concern to the residents, government, and related institutes for decades. However, in China,significantly less time has been devoted to observing PM_(2.5) than for PM_(10). Especially before 2013, the density of the PM_(2.5) ground observation network was relatively low, and the distribution of observation stations was uneven. One solution is to estimate PM_(2.5) concentrations from the existing data on PM_(10). In the present study, by analyzing the relationship between the concentrations of PM_(2.5) and PM_(10), and the meteorological conditions for each season in Beijing from 2008 to 2014, a U-shaped relationship was found between the daily maximum wind speed and the daily PM concentration, including both PM_(2.5) and PM_(10). That is, the relationship between wind speed and PM concentration is not a simple positive or negative correlation in these wind directions; their relationship has a complex effect, with higher PM at low and high wind than for moderate winds.Additionally, in contrast to previous studies, we found that the PM_(2.5)/PM_(10) ratio is proportional to the mean relative humidity(MRH). According to this relationship, for each season we established a multiple nonlinear regression(MNLR) model to estimate the PM_(2.5) concentrations of the missing periods.     

Algal uptake of dissolved organic nitrogen in wastewater treatment plants

The algal uptake of dissolved organic nitrogen(DON) in the anaerobic–anoxic–oxic(A_2O)process was investigated in this study. Anaerobic, aerobic and effluent DON samples from two wastewater treatment plants(WWTPs) were separated into hydrophilic and hydrophobic fractions using a DAX-8 resin coupled with an anion exchange resin and a nanofiltration(NF)pretreatment. Hydrophilic DON accounted for 66.66%–88.74% of the entire DON for the two plants evaluated. After a 15-day incubation, 16.95%–91.75% DON was bioavailable for algal growth, and untreated samples exhibited higher DON bioavailability, with 52.83% DON average uptake rates, compared with the hydrophilic and hydrophobic fractions(45.53% and 44.40%, respectively) because the pretreatment caused the inorganic salt to be resistant to algae. Anaerobic untreated samples, hydrophilic fractions and hydrophobic fractions showed higher DON reduction rates and higher biomass accumulation compared with the other DON fractions due to the decomposition of resistant organics by anaerobic and anoxic bacteria.DON in aerobic and effluent samples of plant A was more bioavailable than that of plant B with usages of 27.49%–55.26% DON. DON bioavailability in the anaerobic–anoxic–oxic process decreased in the following order: anaerobic effluent aerobic. The DON contents were reduced after anaerobic treatment in the two plants. The EEM-PARAFAC model identified three DON components, including two humic acid-like substances and one protein-like substance in plant A and two protein-like substances and one humic acid-like substance in plant B.