Spatially referenced environmental exposure model for down-the-drain substance emissions across european Rivers for aquatic safety assessments.

IF 8.4 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Susan A Csiszar, Chiara Maria Vitale, Raghu Vamshi, Kyle S Roush, Brenna Kent, Ryan Heisler, Heather Summers, Emily E Burns, Iain Davies, Darius Stanton
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Abstract

A spatially referenced environmental exposure model for down-the-drain substance emissions was developed for Europe including the 27 European Union member states, Norway, Switzerland, and the United Kingdom. The model builds upon the global modeling framework that leverages the well-established iSTREEM model for the United States and further expands global coverage of the framework. The data is parameterized using European Union data on waste water treatment plants, locations, infrastructure, and global spatial datasets on population and river flow rates and routing. The model provides substance concentration distributions based on spatial variability of these parameters across Europe while taking into account river connectivity, chemical routing between rivers, and in-stream decay. Chemical-specific model inputs include wastewater treatment removals, in-stream decay rates, and emissions. The model is demonstrated for four case study chemicals that are used in consumer products with down-the-drain disposal routes: linear alkylbenzene sulfonate and alkyl sulfate are common surfactants used in laundry detergents, and oxybenzone and octinoxate are UV-filters used in personal care products. Monitoring data were collected to represent spatial variability across Europe as a comparison to modeled values. Modeled concentrations were found to be predictive while still being conservative, with 90th percentile modeled concentrations agreeing with monitored concentrations within a factor of 2-8 across the case study substances. We further demonstrate how the model can be applied in prospective safety assessments by comparing modeled concentrations to previously established predicted no-effect concentrations, and also demonstrate how the model is consistent with tiered risk assessment approaches when compared to the monitoring data assessments.

用于水生安全评估的欧洲河流下游物质排放的空间参考环境暴露模型。
为包括27个欧盟成员国、挪威、瑞士和英国在内的欧洲开发了一个空间参考的排水渠物质排放环境暴露模型。该模型建立在全球建模框架之上,该框架利用了美国已建立的iSTREEM模型,并进一步扩展了该框架的全球覆盖范围。数据参数化使用欧盟关于污水处理厂、地点、基础设施的数据,以及关于人口、河流流量和路线的全球空间数据集。该模型根据这些参数在整个欧洲的空间变异性提供了物质浓度分布,同时考虑了河流连通性、河流之间的化学路线和河流内的衰变。特定于化学物质的模型输入包括废水处理去除率、流内衰减率和排放量。该模型以四个案例研究化学品为例进行了演示,这些化学品用于下水道处理途径的消费品:线性烷基苯磺酸盐和烷基硫酸盐是洗衣洗涤剂中常用的表面活性剂,氧苯酮和桂皮酸盐是个人护理产品中使用的紫外线过滤器。收集监测数据以表示整个欧洲的空间变异性,并与模拟值进行比较。发现模型浓度具有预测性,但仍然是保守的,在案例研究物质中,第90百分位模型浓度与监测浓度在2-8倍范围内一致。通过将模型浓度与先前建立的预测无效应浓度进行比较,我们进一步证明了该模型如何应用于前瞻性安全性评估,并证明了与监测数据评估相比,该模型如何与分层风险评估方法相一致。
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来源期刊
Integrated Environmental Assessment and Management
Integrated Environmental Assessment and Management ENVIRONMENTAL SCIENCESTOXICOLOGY&nbs-TOXICOLOGY
CiteScore
5.90
自引率
6.50%
发文量
156
期刊介绍: Integrated Environmental Assessment and Management (IEAM) publishes the science underpinning environmental decision making and problem solving. Papers submitted to IEAM must link science and technical innovations to vexing regional or global environmental issues in one or more of the following core areas: Science-informed regulation, policy, and decision making Health and ecological risk and impact assessment Restoration and management of damaged ecosystems Sustaining ecosystems Managing large-scale environmental change Papers published in these broad fields of study are connected by an array of interdisciplinary engineering, management, and scientific themes, which collectively reflect the interconnectedness of the scientific, social, and environmental challenges facing our modern global society: Methods for environmental quality assessment; forecasting across a number of ecosystem uses and challenges (systems-based, cost-benefit, ecosystem services, etc.); measuring or predicting ecosystem change and adaptation Approaches that connect policy and management tools; harmonize national and international environmental regulation; merge human well-being with ecological management; develop and sustain the function of ecosystems; conceptualize, model and apply concepts of spatial and regional sustainability Assessment and management frameworks that incorporate conservation, life cycle, restoration, and sustainability; considerations for climate-induced adaptation, change and consequences, and vulnerability Environmental management applications using risk-based approaches; considerations for protecting and fostering biodiversity, as well as enhancement or protection of ecosystem services and resiliency.
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