我国工业SO2排放趋势及影响因素分析

分析了我国工业SO2排放量的变化趋势,以及其与GDP、工业产值、火电厂发电量等指标的变化关系;利用50个省市1998—2007年的有关数据建立了SO2排放量的影响因素面板数据模型,力求通过定量分析识别影响我国工业SO2排放量的关键因素。研究表明,我国工业SO2排放量与第二产业比重、火力发电比重并无明显关系,而GDP、发电量、一次能源转化效率、SO2去除率存在显著关系,对SO2工业实际排放量起决定作用的是SO2的去除率。     

微乳液增敏罗丹明B氧化褪色光度法测定微量亚硝酸根

基于微乳液对亚硝酸根催化溴酸钾氧化罗丹明B褪色反应具有增敏作用的原理,建立了催化动力学光度法测定痕量亚硝酸根的新方法。实验结果表明：该方法的最佳反应条件为1×10^-4 mol/L的罗丹明B溶液加入量0.60 mL,1 mol/L的稀磷酸加入量1.50 mL,0.1 mol/mL的溴酸钾溶液0.50 mL,反应温度20 ℃,反应时间15 min;对亚硝酸根测定的线性范围为ρ（NO₂^-）= 0.048~0.800 μg/mL,检出限为0.003 0 μg/mL;加入微乳液后催化反应的灵敏度增大了3倍。     

Molecular and ultrastructural insights into the earthworm Eisenia fetida of the assessment of ecotoxicity during colistin exposure

Colistin is a peptide antibiotic widely used as a feed additive in animal farming, especially in poultry and swine production, for treatment and prevention of gram-negative bacterial infections, as well as for growth promotion use. When orally ingested, colistin is poorly absorbed and is eliminated almost unaltered by the enteric canal into the environment. Thus, risk of environmental toxicity cannot be ignored. In the present study, we examined the effects of colistin on Heath Shock Protein (HSP) 70, metallothionein (MT) gene expressions, and the ultrastructure of intestinal cells, following treatment of the soil indicator earthworm Eisenia fetida with 10, 20, and 100 mg/kg colistin for 7, 14, and 21 days. The results showed that, compared with the control, the expressions of HSP70 and MT genes changed significantly. Colistin caused up-regulations of HSP70’s expression while inhibited the expression of MT gene. In addition, most mitochondria and endoplasmic reticulum were damaged in the group treated with high concentration. The investigation of gene expressions of HSP70 and MT, as well as pathological alterations in the intestinal cells, may provide important information in terms of ecotoxicity of colistin and can be used as early warning system.     

黄孢原毛平革菌处理果胶废水

实验研究了菌体接种量、氮源、氮源浓度、温度和pH等不同因素条件下,黄孢原毛平革菌对果胶废水中果胶和COD去除效率的影响。结果表明,接种量为10 g/L时,黄孢原毛平革菌对果胶和COD的去除率最高,分别为96%和83%。酒石酸铵为黄孢原毛平革菌处理果胶废水的最佳氮源,其最佳浓度为0.8 g/L,在此条件下,菌体对果胶和COD的去除率分别为96%和84%。废水温度为25~35℃,废水pH值为4~5时,黄孢原毛平革菌对果胶废水中果胶和COD的去除效率分别可达95%及80%以上。黄孢原毛平革菌处理果胶废水的研究结果可为实际废水处理工程技术工艺的设计提供参考价值和指导意义。     

吸附剂浓度对Zn(Ⅱ)和Cd(Ⅱ)在高岭土上吸附的影响

研究了吸附剂浓度(Cs)对Zn(Ⅱ)和Cd(Ⅱ)在高岭土上吸附的影响。结果表明,随Cs增大,吸附等温线下降,呈现出明显的吸附剂浓度效应(Cs-effect)。采用经典Langmuir和Freundlich吸附等温式对吸附数据进行拟合表明,在给定Cs下,Zn(Ⅱ)和Cd(Ⅱ)的吸附等温线分别符合Langmuir和Freundlich等温式;但这2个等温式不能描述或预测Cseffect,模型参数与Cs有关,与模型理论预测相悖。为解释和描述固/液界面吸附中的Cs-effect,我们近期提出了表面组分活度(SCA)模型,并推导出了Langmuir-SCA和Freundlich-SCA等温式。采用SCA模型等温式对吸附数据进行拟合表明,Langmuir-SCA和Freundlich-SCA等温式可分别准确地描述Zn(Ⅱ)和Cd(Ⅱ)在高岭土上吸附的Cs-effect结果,证明SCA模型是合理的。     

碳源对铜绿微囊藻生理特性及微囊藻毒素产率的影响

为研究水体中不同碳源对铜绿微囊藻生理特性的影响,以Na2CO3与葡萄糖分别作为铜绿微囊藻生长的无机碳源与有机碳源,将铜绿微囊藻于光照下进行培养,并对其一系列的生理特性与微囊藻毒素产率进行检测。实验结果表明,同等碳浓度下,有机碳源更能促进铜绿微囊藻的生长,经过30 d的培养,铜绿微囊藻在有机碳源中的产量为187.55 g,比其在无机碳源中的产量提高了6.06%;微囊藻毒素在有机碳源中的产量为969.00μg/g,而在无机碳源中的产量却升高至1 193.60μg/g。参与藻毒素合成的3种氨基酸在无机碳源中的浓度要比有机碳源中的浓度高,但是其余几种氨基酸的含量与之情况相反。而有机碳源培养的铜绿微囊藻总可溶性蛋白含量为387.00μg/g,比无机碳源培养的铜绿微囊藻的蛋白含量提高了93.60%。     

潜流人工湿地去除毒死蜱、双酚A、4-壬基酚

为研究潜流人工湿地对毒死蜱、BPA及4-NP的去除效果,选取宽叶香蒲、芦苇、花叶香蒲及小香蒲4种湿地植物,通过SPE-HPLC测定进出水中3种污染物的浓度,计算4种植物潜流人工湿地对3种污染物的去除效率。结果表明,水力停留时间3 d,4组植物对毒死蜱、BPA和4-NP去除率均高于60%,各植物组对毒死蜱和4-NP的去除效果之间无显著性差异,宽叶香蒲对BPA的去除率为82.66%,显著高于其余3种植物组62.96%~69.63%。在静态条件下,毒死蜱、BPA和4-NP在模拟系统内降解过程符合一级降解动力学方程,降解方程分别为:c=124.63exp(-t/25.393)+3.7618 1,c=316.61exp(-t/34.955)+0.56475 2,c=168.91exp(-t/17.061)+12.133 3(c,剩余浓度,μg/L;t,停留时间,h),半衰期分别为18、21和11 h。     

典型场地地下水污染源强分级评价方法研究

地下水污染程度评价是地下水研究领域的研究热点。以场地浅层地下水为研究对象,基于目前国内工业场地有无防渗措施的分类原则,综合考虑污染源和场地包气带特征因子,构建了地下水污染源强分级评价指标体系。将修正的内梅罗污染指数法应用于污染源危害性分级,并将改进后的DRTAS模型应用于包气带阻控性分级,利用矩阵法构建两方面多因素耦合模型,最后形成了适合典型工业场地的地下水污染源强分级评价的方法。选择4个典型污染场地对评价方法进行实地验证,分析结果表明,对于已建的或拟建的有防渗措施的项目,污染源危害性是造成场地地下水污染的主因;对于已建的无防渗措施项目,污染源危害性和包气带阻控性共同决定地下水污染源强。场地评价结果与水质监测报告结论相符,说明本研究建立的分级评价方法对于地下水污染的预防和控制具有借鉴意义。     

Forewarning model for water pollution risk based on Bayes theory

In order to reduce the losses by water pollution, forewarning model for water pollution risk based on Bayes theory was studied. This model is built upon risk indexes in complex systems, proceeding from the whole structure and its components. In this study, the principal components analysis is used to screen out index systems. Hydrological model is employed to simulate index value according to the prediction principle. Bayes theory is adopted to obtain posterior distribution by prior distribution with sample information which can make samples’ features preferably reflect and represent the totals to some extent. Forewarning level is judged on the maximum probability rule, and then local conditions for proposing management strategies that will have the effect of transforming heavy warnings to a lesser degree. This study takes Taihu Basin as an example. After forewarning model application and vertification for water pollution risk from 2000 to 2009 between the actual and simulated data, forewarning level in 2010 is given as a severe warning, which is well coincide with logistic curve. It is shown that the model is rigorous in theory with flexible method, reasonable in result with simple structure, and it has strong logic superiority and regional adaptability, providing a new way for warning water pollution risk.     

蜘蛛兰去除不同程度富营养水体中氮磷及抑藻效应

研究了蜘蛛兰在不同程度富营养化水体中对氮、磷的去除和对藻类的抑制效应。结果表明,蜘蛛兰在3种不同程度富营养化水体中均能正常生长,且对富营养水体中的氮、磷和叶绿素a浓度均表现出良好的净化去除效果。在45d的实验中,3种不同程度富营养水体的TN、N03-N、NH4-N和TP浓度分别由初始的3．69～25．65、2．79～21．14、0．75～3．57和0．14—1．23mg／L降至1．25～18．99、1．08～16．03、0．18～1．39和0．06～0．77mg／L,在3种不同程度富营养水体中植物的平均生物量累积增长率分别为40．98％、64．41％和95．08％。实验各处理组富营养化水体中的叶绿素a浓度及荧光参数短期内都显著下降,而各对照组中则较稳定或略有下降。蜘蛛兰不仅可以净化富营养水体中营养元素,且对水体中藻类的生长有明显的抑制作用,其在水体生态修复工程中具有良好的应用前景。