《环境监测 分析方法标准制修订技术导则》(HJ 168—2010)对土壤环境监测标准制修订适用性探讨

针对土壤环境监测的复杂性和特殊性,从空白试验、检出限、方法验证、质量控制和标准文本等方面,指出了《环境监测分析方法标准制修订技术导则》《HJ 168—2010》对土壤环境监测标准制修订工作的适用性和执行中存在的问题。提出,为保证土壤标准制修订质量和标准执行质量,应研究适宜土壤监测方法标准的质量控制指标体系和评价体系,及时修订《HJ 168—2010》或发布补充要求;对现有土壤监测方法标准进行技术评估,加强对于土壤标准制修订工作的指导和监管。     

Factors affecting the quantitative uncertainty of the estimated short-term intake. Part I—Calculation methods

ABSTRACT

The calculation of the combined uncertainty of the international estimated short-term intake (IESTI) of ethephon residues in apples is shown as an example. The ethephon residues in apples were reported by the Joint FAO (Food and Agriculture Organization of the United Nations)/WHO (World Health Organization) Meeting on Pesticide Residues (JMPR). The apple consumption data were taken from the IESTI (international short-term intake) calculation template used by the JMPR. The IESTI was calculated with the currently used method (case 2a) and a proposed one recommended by the EFSA (European Food Safety Authority)/RIVM (Dutch National Institute for Public Health) Scientific Workshop co-sponsored by FAO and WHO. In this example, the ratio of IESTI_proposed/IESTI_current and their combined relative uncertainty are about 2.8, and 1.7, respectively. The larger IESTI and uncertainty obtained with the proposed equation are the consequence of calculation only with the large portion (LP) instead of its combination with unit mass, and the MRL instead of the highest residue (HR). The LP is the major contributor to the combined uncertainty. Both the calculated IESTI and its combined uncertainty depend on the actual food – pesticide residue combination, and should be calculated for each case.     

不同模糊评价方法在水环境质量评价中的应用比较

近年来,运用模糊评价方法对水质和水体营养化程度进行评价逐渐受到重视。目前,对模糊评价方法的研究多集中在实测数据标准化、权重的确定和模糊模式识别模型研究几个方面。以滇池历年营养物质数据为实测数据,通过对几种实测数据标准化方法、权重确定方法和模糊模式识别方法的组合应用,获得水环境质量模糊评价最优组合方法。结果表明,在评价方法中,实测数据标准化方法采用线性内插法,权重的确定采用超标倍数法,模糊模式识别模型采用广义海明距离和加权海明距离法,即采用超标倍数法的广义海明距离和加权海明距离法能够更真实反映水环境质量的实际情况。     

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.     

中国流域生态补偿标准核算方法分析

补偿标准核算是建立流域生态补偿机制的重要内容,也是生态补偿机制实施的关键环节.本文选取政策视角归纳了我国10个省份已经发布和实施的流域生态补偿政策的基本内容,对这些政策的补偿标准核算方法进行了分类,提出以成本和价值作为补偿标准核算方法分类的依据.结合流域生态补偿标准相关的研究成果以及国外政策,对我国流域生态补偿标准核算的政策内容进行了分析,在此基础上对政策层面流域生态补偿标准核算方法的发展和完善提出了建议.为了体现经济规律,同时增强生态补偿制度的激励作用,流域生态补偿政策中的补偿标准在污染赔偿方面需要进一步体现水污染造成的损失,在保护补偿方面需要体现水资源保护的经济价值.在未来我国流域生态补偿实施的过程中,相关方面协商确定补偿标准的趋势将会日益明显,在这个过程中各种量化核算和调查方法可以发挥比较重要的支持作用.本文的分析结果对于推动国家层面流域生态补偿标准核算政策制定或规范地方实践活动具有一定的参考价值.     

构建湘江流域生态补偿机制的探讨

本文以湘江水质和水文数据为基础,首次结合各地市社会经济发展情况,引入补偿标准系数,以湘江流域所在区域为例进行生态补偿资金测算,提出湘江流域生态补偿机制构建初步设想和存在的主要问题,以期为湘江流域水资源保护提供指导,最终实现湘江流域区域共赢。     

微絮凝-直接过滤工艺用于东江流域典型印染废水回用的实验研究

以东莞地区某典型印染企业尾水为研究对象,针对东江流域饮用水源河流水质污染现状及纳污河流水质改善目标要求与企业对尾水回用的实际需求,进行了印染废水深度处理回用工艺的适用性研究.通过混凝烧杯实验,选用工业PACl、FeSO4、HPAC 3种药剂,对微絮凝-直接过滤集成工艺用于印染废水尾水深度处理后水质回用的可行性,进行了实...     

Mercury levels and trends (1993-2009) in bream (Abramis brama L.) and zebra mussels (Dreissena polymorpha) from German surface waters

Mercury concentrations have been analysed in bream (Abramis brama L.) and zebra mussels (Dreissena polymorpha) collected at 17 freshwater sites in Germany from 1993-2009 and 1994-2009, respectively, within the German Environmental Specimen programme. Mercury concentrations in bream ranged from 21 to 881 ng g⁻¹ wet weight with lowest concentrations found at the reference site Lake Belau and highest in fish from the river Elbe and its tributaries. Statistical analysis revealed site-specific differences and significant decreasing temporal trends in mercury concentrations at most of the sampling sites. The decrease in mercury levels in bream was most pronounced in fish from the river Elbe and its tributary Mulde, while in fish from the river Saale mercury levels increased. Temporal trends seem to level off in recent years. Mercury concentrations in zebra mussels were much lower than those in bream according to their lower trophic position and varied by one order of magnitude from 4.1 to 42 ng g⁻¹ wet weight (33-336 ng g⁻¹ dry weight). For zebra mussels, trend analyses were performed for seven sampling sites at the rivers Saar and Elbe of which three showed significant downward trends. There was a significant correlation of the geometric mean concentrations in bream and zebra mussel over the entire study period at each sampling site (Pearson’s correlation coefficient = 0.892, p = 0.00002). A comparison of the concentrations in bream with the environmental quality standard (EQS) of 20 ng g⁻¹ wet weight set for mercury in biota by the EU showed that not a single result was in compliance with this limit value, not even those from the reference site. Current mercury levels in bream from German rivers exceed the EQS by a factor 4.5-20. Thus, piscivorous top predators are still at risk of secondary poisoning by mercury exposure via the food chain. It was suggested focusing monitoring of mercury in forage fish (trophic level 3 or 4) for compliance checking with the EQS for biota and considering the age dependency of mercury concentrations in fish in the monitoring strategy.     

Development and application of LC–APCI–MS method for biomonitoring of animal and human exposure to imidacloprid

Imidacloprid (IMI) is a relatively new neuro-active neonicotinoid insecticide and nowadays one of the largest selling insecticides worldwide. In the present study a LC–APCI–MS based method was developed and validated for the quantification of imidacloprid and its main metabolite 6-chloronicotinic acid (6-CINA) in urine and hair specimens. The method was tested in biomonitoring of intentionally exposed animals and subsequently applied for biomonitoring of Cretan urban and rural population.     

有害物质环境测试组合舱的研制及性能评价

研制了一种新型有害物质环境测试组合舱,该测试舱由舱体系（内舱和外舱）、恒温恒湿空气处理系统、空气循环装置和信号控制与处理软件组成。该测试舱具有可分别使用内舱和外舱对样品进行测试的特点,并采用美国FLUNT公司开发的air pack软件包对内舱和外舱的气流进行模拟与计算,并划分出内舱的层流区域,同时也对舱体系的性能进行了测试与评价。结果表明,有害物质环境测试组合舱的温湿度的相对标准偏差分别为0.04℃和0.7%,混合性达到90.7%。因此,该有害物质环境测试组合舱对温湿度控制精准,气流稳定,混合性能良好,能为室内空气污染研究提供条件稳定的室内仿真环境。