水质总氮、总磷在线自动分析仪的发展现状

对水质总氮和总磷在线自动分析仪的方法原理,主要类型,主要技术特点以及主要仪器型号等发展现状进行了评述。     

光度法标定标准溶液方法探讨

提出用分光光度法标定标准溶液的概念和方法,并对其可行性进行了研究和探讨。     

活性污泥法处理焦化污水监测值的统计特性

用活性污泥法处理焦化污水,将一年内监测的曝气池山水和入水中酚、氰、氨氮、COD等指标建立数据库,并进行时间序列、正态分布性、自相关和线性回归分析.统计分析结果表明,多数指标呈正态分布而周期性特征不明显;经多元线性回归分析,出水COD与入水COD、出水酚之间的关系较为密切.     

1976-2005年唐山地区降水变化规律及干旱预测

利用唐山市1976-2005年各县年降水序列,分析了该市降水的空间分布规律和时间变化特点。采用灰色系统的灾变预测方法,对各县分别建立了GM（1,1）模型,进行未来25年唐山市各站的干旱年预测。利用残差检验、后验差检验和关联度检验对各模型分别进行了精度检验。结果表明,预测模型精度较高,可以对唐山市各县未来的干旱年进行预测,从而为科学决策提供依据。     

重金属光谱分析仪与原子吸收光谱测定土壤中的重金属

采用重金属光谱分析仪与原子吸收光谱测定土壤中的Cr、Cu、Ni、Pb、Zn和As六种金属,结果发现,重金属光谱分析仪对Cu、Pb、Zn和As四种金属的检测结果较为理想,与原子吸收光谱的检测数据接近,误差可满足现场检测的要求.重金属光谱分析仪测定方法简便,操作简单,省时省力,可满足大部分重金属检测的要求.     

高速公路路面沉积物的污染特性

对湖南省长潭西高速公路不同采样点的路面沉积物进行取样分析,并检测了样品的颗粒级配、COD、重金属(Cu、Zn、Pb和Cd)和有机质。结果表明,路面沉积物主要以粒径<0.15 mm的颗粒为主;较小颗粒物中的COD含量高于较大颗粒中的COD含量;粒径在0.15 mm以下的颗粒物所含重金属Cu、Zn、Pb和Cd的浓度普遍高于所选的土壤标准值,降雨一旦形成径流将会产生严重的污染危害;沉积物中的有机质含量对重金属的吸附有一定的影响,有机质含量越高,沉积物中重金属含量相对也高。     

A-O工艺污泥疏水比率与污泥活性的关系

通过A-O工艺对印染废水的降解处理,研究了不同污泥活性下微生物疏水比率和COD去除率的变化规律.结果表明,污泥活性指标ATP浓度与微生物疏水性之间存在一定关系,并对COD去除率产生一定的影响.缺氧污泥的活性指标ATP浓度在0.38～0.77 mg/L范围时,污泥微生物的疏水性最好且疏水比率最高值为84％,COD的去除率最高,为70.01％;好氧污泥的活性指标ATP浓度在0.86～2.17 mg/L范围时,污泥微生物的疏水性最好,疏水比率最高值为75％,COD的去除率最高为96.2％.     

物化-生物组合工艺处理TNT红水

采用酸析+微电解+混凝沉淀+减压蒸馏+固定化微生物滤池+活性焦吸附组合工艺处理兵器八○五厂(襄樊分部)的TNT红水,出水中的硝基化合物浓度多小于0.8 mg/L,且多次未检出;COD最高值为76 mg/L,平均值为51.6 mg/L;色度为20°;苯胺浓度全部小于1 mg/L,达到了中试方案提出的要求,出水水质指标符合《兵器工业水污染物排放标准火炸药》(GB14470.1-2002)的要求.中试期间设备没有发生堵塞、燃烧等事故,减压蒸馏装置正常稳定运行,证实了减压蒸馏法处理TNT红水的安全可靠性.     

Toxicological characterization of the landfill leachate prior/after chemical and electrochemical treatment: A study on human and plant cells

In this research, toxicological safety of two newly developed methods for the treatment of landfill leachate from the Piškornica (Croatia) sanitary landfill was investigated. Chemical treatment procedure combined chemical precipitation with CaO followed by coagulation with ferric chloride and final adsorption by clinoptilolite. Electrochemical treatment approach included pretreatment with ozone followed by electrooxidation/electrocoagulation and final polishing by microwave irradiation. Cell viability of untreated/treated landfill leachate was examined using fluorescence microscopy. Cytotoxic effect of the original leachate was obtained for both exposure periods (4 and 24 h) while treated samples showed no cytotoxic effect even after prolonged exposure time. The potential DNA damage of the untreated/treated landfill leachate was evaluated by the comet assay and cytokinesis-block micronucleus (CBMN) assay using either human or plant cells. The original leachate exhibited significantly higher comet assay parameters compared to negative control after 24 h exposure. On the contrary, there was no significant difference between negative control and chemically/electrochemically treated leachate for any of the parameters tested. There was also no significant increase in either CBMN assay parameter compared to the negative control following the exposure of the lymphocytes to the chemically or electrochemically treated landfill leachate for both exposure periods while the original sample showed significantly higher number of micronuclei, nucleoplasmic bridges and nuclear buds for both exposure times. Results suggest that both methods are suitable for the treatment of such complex waste effluent due to high removal efficiency of all measured parameters and toxicological safety of the treated effluent.     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.