Ritter Len, Solomon Keith, Sibley Paul, Hall Ken, Keen Patricia, Mattu Gevan, Linton Beth
Canadian Network of Toxicology Centres, and Department of Environmental Biology, University of Guelph, Ontario, Canada.
J Toxicol Environ Health A. 2002 Jan 11;65(1):1-142. doi: 10.1080/152873902753338572.
On a global scale, pathogenic contamination of drinking water poses the most significant health risk to humans, and there have been countless numbers of disease outbreaks and poisonings throughout history resulting from exposure to untreated or poorly treated drinking water. However, significant risks to human health may also result from exposure to nonpathogenic, toxic contaminants that are often globally ubiquitous in waters from which drinking water is derived. With this latter point in mind, the objective of this commission paper is to discuss the primary sources of toxic contaminants in surface waters and groundwater, the pathways through which they move in aquatic environments, factors that affect their concentration and structure along the many transport flow paths, and the relative risks that these contaminants pose to human and environmental health. In assessing the relative risk of toxic contaminants in drinking water to humans, we have organized our discussion to follow the classical risk assessment paradigm, with emphasis placed on risk characterization. In doing so, we have focused predominantly on toxic contaminants that have had a demonstrated or potential effect on human health via exposure through drinking water. In the risk assessment process, understanding the sources and pathways for contaminants in the environment is a crucial step in addressing (and reducing) uncertainty associated with estimating the likelihood of exposure to contaminants in drinking water. More importantly, understanding the sources and pathways of contaminants strengthens our ability to quantify effects through accurate measurement and testing, or to predict the likelihood of effects based on empirical models. Understanding the sources, fate, and concentrations of chemicals in water, in conjunction with assessment of effects, not only forms the basis of risk characterization, but also provides critical information required to render decisions regarding regulatory initiatives, remediation, monitoring, and management. Our discussion is divided into two primary themes. First we discuss the major sources of contaminants from anthropogenic activities to aquatic surface and groundwater and the pathways along which these contaminants move to become incorporated into drinking water supplies. Second, we assess the health significance of the contaminants reported and identify uncertainties associated with exposures and potential effects. Loading of contaminants to surface waters, groundwater, sediments, and drinking water occurs via two primary routes: (1) point-source pollution and (2) non-point-source pollution. Point-source pollution originates from discrete sources whose inputs into aquatic systems can often be defined in a spatially explicit manner. Examples of point-source pollution include industrial effluents (pulp and paper mills, steel plants, food processing plants), municipal sewage treatment plants and combined sewage-storm-water overflows, resource extraction (mining), and land disposal sites (landfill sites, industrial impoundments). Non-point-source pollution, in contrast, originates from poorly defined, diffuse sources that typically occur over broad geographical scales. Examples of non-point-source pollution include agricultural runoff (pesticides, pathogens, and fertilizers), storm-water and urban runoff, and atmospheric deposition (wet and dry deposition of persistent organic pollutants such as polychlorinated biphenyls [PCBs] and mercury). Within each source, we identify the most important contaminants that have either been demonstrated to pose significant risks to human health and/or aquatic ecosystem integrity, or which are suspected of posing such risks. Examples include nutrients, metals, pesticides, persistent organic pollutants (POPs), chlorination by-products, and pharmaceuticals. Due to the significant number of toxic contaminants in the environment, we have necessarily restricted our discussion to those chemicals that pose risks to human health via exposure through drinking water. A comprehensive and judicious consideration of the full range of contaminants that occur in surface waters, sediments, and drinking water would be a large undertaking and clearly beyond the scope of this article. However, where available, we have provided references to relevant literature to assist the reader in undertaking a detailed investigation of their own. The information collected on specific chemicals within major contaminant classes was used to determine their relative risk using the hazard quotient (HQ) approach. Hazard quotients are the most widely used method of assessing risk in which the exposure concentration of a stressor, either measured or estimated, is compared to an effect concentration (e.g., no-observed-effect concentration or NOEC). A key goal of this assessment was to develop a perspective on the relative risks associated with toxic contaminants that occur in drinking water. Data used in this assessment were collected from literature sources and from the Drinking Water Surveillance Program (DWSP) of Ontario. For many common contaminants, there was insufficient environmental exposure (concentration) information in Ontario drinking water and groundwater. Hence, our assessment was limited to specific compounds within major contaminant classes including metals, disinfection by-products, pesticides, and nitrates. For each contaminant, the HQ was estimated by expressing the maximum concentration recorded in drinking water as a function of the water quality guideline for that compound. There are limitations to using the hazard quotient approach of risk characterization. For example, HQs frequently make use of worst-case data and are thus designed to be protective of almost all possible situations that may occur. However, reduction of the probability of a type II error (false negative) through the use of very conservative application factors and assumptions can lead to the implementation of expensive measures of mitigation for stressors that may pose little threat to humans or the environment. It is important to realize that our goal was not to conduct a comprehensive, in-depth assessment of risk for each chemical; more comprehensive assessments of managing risks associated with drinking water are addressed in a separate issue paper by Krewski et al. (2001a). Rather, our goal was to provide the reader with an indication of the relative risk of major contaminant classes as a basis for understanding the risks associated with the myriad forms of toxic pollutants in aquatic systems and drinking water. For most compounds, the estimated HQs were < 1. This indicates that there is little risk associated with exposure from drinking water to the compounds tested. There were some exceptions. For example, nitrates were found to commonly yield HQ values well above 1 in- many rural areas. Further, lead, total trihalomethanes, and trichloroacetic acid yielded HQs > 1 in some treated distribution waters (water distributed to households). These latter compounds were further assessed using a probabilistic approach; these assessments indicated that the maximum allowable concentrations (MAC) or interim MACs for the respective compounds were exceeded <5% of the time. In other words, the probability of finding these compounds in drinking water at levels that pose risk to humans through ingestion of drinking water is low. Our review has been carried out in accordance with the conventional principles of risk assessment. Application of the risk assessment paradigm requires rigorous data on both exposure and toxicity in order to adequately characterize potential risks of contaminants to human health and ecological integrity. Weakness rendered by poor data, or lack of data, in either the exposure or effects stages of the risk assessment process significantly reduces the confidence that can be placed in the overall risk assessment. (ABSTRACT TRUNCATED)
在全球范围内,饮用水的病原污染对人类健康构成了最重大的风险,历史上因接触未经处理或处理不当的饮用水而引发的疾病暴发和中毒事件数不胜数。然而,接触非病原性有毒污染物也可能对人类健康造成重大风险,这些污染物在饮用水源水中往往全球普遍存在。考虑到后一点,本委员会文件的目的是讨论地表水和地下水中有毒污染物的主要来源、它们在水生环境中的迁移途径、影响它们在众多运输流径中浓度和结构的因素,以及这些污染物对人类和环境健康构成的相对风险。在评估饮用水中有毒污染物对人类的相对风险时,我们按照经典的风险评估范式组织了讨论,重点放在风险特征描述上。在此过程中,我们主要关注那些已证明或可能通过饮用水接触对人类健康产生影响的有毒污染物。在风险评估过程中,了解环境中污染物的来源和途径是解决(并降低)与估计饮用水中污染物接触可能性相关的不确定性的关键一步。更重要的是,了解污染物的来源和途径增强了我们通过准确测量和测试来量化影响,或基于经验模型预测影响可能性的能力。了解水中化学物质的来源、归宿和浓度,结合影响评估,不仅构成了风险特征描述的基础,还提供了做出有关监管举措、修复、监测和管理决策所需的关键信息。我们的讨论分为两个主要主题。首先,我们讨论人为活动向地表水和地下水排放污染物的主要来源,以及这些污染物迁移并纳入饮用水供应的途径。其次,我们评估所报告污染物对健康的重要性,并确定与接触和潜在影响相关的不确定性。污染物进入地表水、地下水、沉积物和饮用水主要有两条途径:(1)点源污染和(2)非点源污染。点源污染源自离散源,其向水生系统的输入通常可以在空间上明确界定。点源污染的例子包括工业废水(纸浆和造纸厂、钢铁厂、食品加工厂)、城市污水处理厂以及合流污水溢流、资源开采(采矿)和土地处置场所(垃圾填埋场、工业蓄水池)。相比之下,非点源污染源自定义不明确的分散源,通常发生在广阔的地理区域。非点源污染的例子包括农业径流(农药、病原体和肥料)、雨水和城市径流以及大气沉降(多氯联苯[PCBs]和汞等持久性有机污染物的湿沉降和干沉降)。在每种来源中,我们确定了已证明对人类健康和/或水生生态系统完整性构成重大风险,或疑似构成此类风险的最重要污染物。例子包括营养物质、金属、农药、持久性有机污染物(POPs)、氯化副产物和药物。由于环境中有毒污染物数量众多,我们不得不将讨论限制在那些通过饮用水接触对人类健康构成风险的化学物质上。全面而明智地考虑地表水、沉积物和饮用水中存在的所有污染物将是一项艰巨的任务,显然超出了本文的范围。然而,在可行的情况下,我们提供了相关文献的参考,以帮助读者自行进行详细调查。收集的主要污染物类别中特定化学物质的信息用于使用危害商数(HQ)方法确定它们的相对风险。危害商数是评估风险最广泛使用的方法,其中将测量或估计的应激源暴露浓度与效应浓度(例如,未观察到效应浓度或NOEC)进行比较。本次评估的一个关键目标是对饮用水中有毒污染物相关的相对风险形成一种观点。本次评估使用的数据来自文献来源以及安大略省的饮用水监测计划(DWSP)。对于许多常见污染物,安大略省饮用水和地下水中的环境暴露(浓度)信息不足。因此,我们的评估仅限于主要污染物类别中的特定化合物,包括金属、消毒副产物、农药和硝酸盐。对于每种污染物,通过将饮用水中记录的最大浓度表示为该化合物水质准则的函数来估计HQ。使用危害商数进行风险特征描述存在局限性。例如,HQs经常使用最坏情况数据,因此旨在保护几乎所有可能发生的情况。然而,通过使用非常保守的应用因子和假设来降低II类错误(假阴性)的概率,可能导致对可能对人类或环境几乎没有威胁的应激源实施昂贵的缓解措施。重要的是要认识到,我们的目标不是对每种化学物质进行全面、深入的风险评估;Krewski等人(2001a)在另一篇问题文件中讨论了与饮用水相关风险管理的更全面评估。相反,我们的目标是为读者提供主要污染物类别的相对风险指示,作为理解与水生系统和饮用水中无数形式有毒污染物相关风险的基础。对于大多数化合物,估计的HQs<1。这表明从饮用水接触所测试的化合物几乎没有风险。有一些例外情况。例如,在许多农村地区发现硝酸盐通常产生远高于1的HQ值。此外,在一些处理后的配水(分配到家庭的水)中,铅、总三卤甲烷和三氯乙酸的HQs>1。对后几种化合物使用概率方法进行了进一步评估;这些评估表明,相应化合物的最大允许浓度(MAC)或临时MACs被超过的时间<5%。换句话说,通过饮用饮用水接触到对人类构成风险水平的这些化合物的概率很低。我们的审查是按照风险评估的传统原则进行的。应用风险评估范式需要关于暴露和毒性的严格数据,以便充分描述污染物对人类健康和生态完整性的潜在风险。在风险评估过程的暴露或效应阶段,数据质量差或缺乏数据导致的弱点会显著降低对整体风险评估的信心。(摘要截断)