废水处理效率的监测方法

L. Augulyte, P. Bergqvist, A. Žaliauskienė
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引用次数: 1

摘要

在水务行业实施《水框架指令》(WFD)的一个主要结果是,可能会对WFD优先物质清单中污染物的去除效率提出更严格的要求。在过去十年中,正在就水处理的技术方面以及水的成分在排放后的命运和影响进行辩论。由于近年来分析技术的发展,人们对废水的化学和毒理学知识有了相当大的了解。用石油总烃浓度(TPH)来表征原油处理效率已经不够了。处理前后的废水应以毒性和引起毒性的个别化合物和混合物的量为特征。在需要更有效地从废水中除油以满足要求的情况下,有许多可用的处理方案,包括一些三级(“抛光”)处理系统。新一代三级废水处理系统,用于去除或减少油类化合物,包括溶解的多环芳烃,具有大多数毒性潜力,是在尤里卡资助的项目下开发的。新的废水处理系统涉及新的监测装置,以验证溶解的和生物可利用的污染物部分被降解,并且从毒性的角度来看,最终流出物也更清洁。先前的研究表明,在处理过程中,由于原始化学物质的转化,可能会产生更多的有毒化合物。监测装置包括一个基于膜的扩散、时间一体化(2-30天)采样器。新开发的膜提取物分析快速分析方法,通过使用标准的生物测定试验,可以为我们提供废水中80多种与油有关的化合物的溶解浓度以及毒性结果的信息。此外,该监测系统能够准确采样废水处理出水中大多数WFD优先物质。研究发现,在污水处理厂中,部分化合物被有效去除,但其他化合物仍以相同浓度存在于溶解相中。此外,通过新的监测系统,研究了处理过程中低分子量多环芳烃的挥发情况,从而确定了WFD污染物向空气中的显著释放。使用相同的膜提取物,通过标准生态毒性分析评估处理过程中时间-综合毒性的变化。使用的三种生物检测方法是水蚤,微毒素和藻类,但也有其他生物或细胞检测系统将进一步测试。我们开发的监测设备是最先进的筛选环境毒性的方法,通过整合基于生物和化学的技术,用于早期预警和生态系统健康评估。它可以在高度污染的环境中提供宝贵的信息,在这些环境中,生物指示生物无法生存或正常活动。
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Methods of monitoring of waste water treatment efficiency
One major result of implementing the Water Frame Directive (WFD) for the water industry is the likelihood of more stringent requirements for the efficiency of removal of the pollutants included in the list of WFD priority substances. During the last decade, an ongoing debate on the technical aspects of water treatment and on the fate and effects of its constituents after discharge are taking place. Due to the recent development of analytical techniques, the knowledge about the chemistry and toxicology of the waste water has increased considerable. Characterization of the oil treatment efficiency by total petroleum hydrocarbon concentration (TPH) is not sufficient any more. Waste water before and after treatment should be characterized by toxicity and amounts of the individual compounds and mixtures which trigger the toxicity. In the situations where more efficient oil removal from waste water is required to meet the requirements, there are a number of treatment options available, including some tertiary ("polishing") treatment systems. New generation tertiary wastewater treatment system for removal or reducing of the oil compounds, including dissolved polycyclic aromatic hydrocarbons, bearing along most toxic potential, was developed under a Eureka funded project. The new waste water treatment system involves novel monitoring device to verify that the dissolved and bioavailable fraction of the contaminants are degraded, and that the final effluent is cleaner also from a toxicity point of view. Previous studies showed that more toxic compounds might be produced during the treatment process due to the transformation of the original chemicals. The monitoring device consists of a membrane-based diffusive, time integrative (2-30 days) sampler. The newly developed fast analytical method for the analysis of membrane extracts enable to give us information on the dissolved concentrations for more than 80 oil related compounds in the effluents as well as the toxicity results, by using standard bio-assay tests. Moreover the monitoring system is capable to accurately sample most of the WFD priority substances in waste water treatment effluent waters. lt was found that some of the compounds were effectively removed in waste water treatment plant (WWTP), but other compounds remained in the dissolved phase at the same concentrations. Furthermore, volatilization of low molecular weight PAHs during the treatment process was studied by means of the new monitoring system, resulting in the identification of significant release of WFD pollutants to the air. The changes in time-integrative toxicity during the treatment process were evaluated by standard ecotoxicity analysis using the same membrane extracts. The three bio-assays used were Daphnia magna, Microtox and Algal but also other organism- or cell test systems will be tested further. Our developed monitoring device is the state-of-art method for screening for environmental toxicity by integrating biologically and chemically based techniques for early warning and ecosystem health assessment purposes. It can provide invaluable information in highly polluted environments where bioindicator organisms would not survive or behave normally.
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