The identification of thresholds of acceptability and danger: the chemical presence route.

M Matthies, F Koormann, G Boeije, T C Feijtel
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引用次数: 3

Abstract

European Union chemical legislation requires the calculation of local and regional Predicted Environmental Concentrations (PEC) for the assessment of the exposure of new and existing chemicals to aquatic and terrestrial ecosystems. Current methods use local models for air, water and soil to estimate chemical concentrations close to the source and a generic multimedia 'unit world' approach to estimate regional PECs. These models assume generic environmental scenarios representing typical situations in European countries and do not account for the spatial heterogeneity and temporal variability in ecosystem characteristics, soil properties, river flow rates, chemical emissions, etc. The environmental and ecological complexity can best be represented in a Geographic Information System (GIS). By coupling a GIS with a fate simulation model the concentrations of substances in a specific environment are predicted more realistically. The GREAT-ER project (Geography-referenced Regional Exposure Assessment Tool for European Rivers) was launched to refine regional and local exposure assessments for down-the-drain chemicals by applying real, spatial-referenced datasets instead of generic or average values. A modular approach was developed consisting of a hydrological model and a waste-flow, river quality and fate model which are linked to a regional GIS-database. For the calibration and validation in two European study areas representative detergent chemicals (LAS, boron) are used. In a parallel study, high-volume intermediates discharged into the river Rhine are simulated.

可接受阈值和危险阈值的识别:化学物质存在路线。
欧洲联盟的化学立法要求计算地方和区域的预测环境浓度,以评估新的和现有的化学品对水生和陆地生态系统的影响。目前的方法使用当地的空气、水和土壤模型来估计源附近的化学物质浓度,并使用一种通用的多媒体“单位世界”方法来估计区域PECs。这些模型假设了代表欧洲国家典型情况的一般环境情景,没有考虑生态系统特征、土壤性质、河流流量、化学物质排放等方面的空间异质性和时间变异性。地理信息系统(GIS)是最能反映环境和生态复杂性的系统。通过将地理信息系统与命运模拟模型相结合,可以更真实地预测特定环境中物质的浓度。GREAT-ER项目(欧洲河流地理参考区域暴露评估工具)启动,通过应用真实的、空间参考的数据集,而不是通用的或平均值,来完善区域和当地对排入下水道的化学品的暴露评估。开发了一种模块化方法,包括一个水文模型和一个与区域地理信息系统数据库相连的废物流量、河流质量和命运模型。为校准和验证在两个欧洲研究领域的代表性洗涤剂化学品(LAS,硼)被使用。在平行研究中,模拟了排入莱茵河的大体积中间体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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