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Using normal ranges for interpreting results of monitoring and tiering to guide future work: A case study of increasing polycyclic aromatic compounds in lake sediments from the Cold Lake oil sands (Alberta, Canada) described in Korosi et al. (2016)☆
Environmental Pollution ( IF 8.9 ) Pub Date : 2017-07-29 , DOI: 10.1016/j.envpol.2017.07.070
Kelly R. Munkittrick , Tim J. Arciszewski

Since the publishing of the Kelly et al. papers (2009, 2010) describing elevated contaminants in snow near the Alberta oil sands, there has been a significant expansion of monitoring efforts, enhanced by $50M a year contributed by industry to a regional Joint Oil Sands Monitoring (JOSM) program. In parallel to the intensification of research and monitoring efforts, including expansion of measured indicators, techniques for chemical analysis have also become more sensitive. Both factors contribute to the increased sensitivity and power, and improve our capacity to detect any change. The increase in capability requires a counterbalance to account for trivial change. This can be done using an interpretative approach that requires contextualization of differences to meaningfully inform environmental monitoring programs and provide focus for action. Experience obtained through 25 years of involvement with Canada's Environmental Effects Monitoring (EEM) program has shown that a tiered program informed by triggers can provide the context to make decisions about monitoring priorities. Here we provide a potential interpretation framework using a case study around the Korosi et al. (2016) study which found recent increases in alkylated polycyclic aromatic compounds (aPACs) in the Cold Lake in situ oil sands area. Public contaminant profiles from the JOSM studies in the oil sands region are used to evaluate the changes using an interpretation framework based on estimated normal ranges using existing data for site-specific, local and regional (distant) levels that was modelled after the tiered Canadian EEM design.

中文翻译:

使用正常范围来解释监测和分层的结果,以指导未来的工作:以Korosi等人描述的从冷湖油砂(加拿大艾伯塔省)中的湖泊沉积物中增加多环芳族化合物的案例研究。(2016)

自Kelly等人发表以来。论文(2009年,2010年)描述了艾伯塔省油砂附近积雪中污染物的浓度升高,监测工作已显着扩大,行业每年为区域联合油砂监测(JOSM)计划贡献了5000万加元。在加大研究和监测力度,包括扩大测量指标的同时,化学分析技术也变得更加敏感。这两个因素都有助于提高灵敏度和功率,并提高我们发现任何变化的能力。能力的提高要求平衡以解决微不足道的变化。这可以使用一种解释性方法来完成,该方法要求对差异进行情境化,以有意义地为环境监测计划提供信息并提供行动重点。通过参与加拿大环境影响监测(EEM)计划25年所获得的经验表明,由触发器触发的分层计划可以为决策优先级监测提供背景。在这里,我们通过围绕Korosi等人的案例研究提供了一个潜在的解释框架。(2016年)的研究发现,冷湖原位油砂地区的烷基化多环芳族化合物(aPAC)最近有所增加。来自油砂地区的JOSM研究中的公共污染物概况被用于使用解释框架来评估变化,该解释框架基于估计的正常范围,使用了根据加拿大EEM分层模型建模的特定于站点,本地和区域(远)水平的现有数据设计。环境影响监测(EEM)计划表明,由触发器触发的分层计划可以提供上下文,以制定有关监测优先级的决策。在这里,我们通过围绕Korosi等人的案例研究提供了一个潜在的解释框架。(2016年)的研究发现,冷湖原位油砂地区的烷基化多环芳族化合物(aPAC)最近有所增加。来自油砂地区的JOSM研究中的公共污染物概况被用于使用解释框架来评估变化,该解释框架基于估计的正常范围,使用了根据加拿大EEM分层模型建模的特定于站点,本地和区域(远)水平的现有数据设计。环境影响监测(EEM)计划表明,由触发器触发的分层计划可以提供上下文,以制定有关监测优先级的决策。在这里,我们通过围绕Korosi等人的案例研究提供了一个潜在的解释框架。(2016年)的研究发现,冷湖原位油砂地区的烷基化多环芳族化合物(aPAC)最近有所增加。来自油砂地区的JOSM研究中的公共污染物概况被用于使用解释框架来评估变化,该解释框架基于估计的正常范围,使用了根据加拿大EEM分层模型建模的特定于站点,本地和区域(远)水平的现有数据设计。
更新日期:2017-08-24
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