Source Attribution Methods for Modeling Aquatic Pollution From Non-Point and Atmospheric Sources

9314725克里斯滕森这是一个奖项，以支持研究，以找到有效的方法来确定扩散的水生污染物的来源。 调查人员计划开发一个化学质量平衡模型和因子分析模型，用于分析污染物的沉积记录，包括考虑物质的实测历史记录及其已知源函数中的误差。将利用现有的数据集对这些模型进行评价，这些数据集涉及与沉积物有关的多环芳烃沉积物（在现有的已过时的沉积物岩芯中）和密歇根湖河口淡水沉积物中的多氯联苯。 此外，还将开展一项实验方案，重点关注密歇根湖、格林湾和威斯康星州福克斯河下游的多环芳烃和多氯二苯并对二恶英。 本项目的目标是开发可能用于管理水生水质的来源归属方法。 这些方法以前广泛用于描述空气污染物的来源，可能证明在处理非点污染源方面特别有效。 虽然水污染的点源一般很容易识别，但非点源，如那些可归因于大气沉积的非点源，则不容易识别。 本研究的结果有望导致改进的模型，可用于污染控制设施的工程设计和修复受污染的水生资源。 ***

9314725 Christensen This is an award to support research to find effective methods for determining the sources of diffuse aquatic pollutants. The investigator plans on developing a chemical mass balance model and factor analysis models for analyzing sedimentary records of pollutants including consideration of errors in both the measured historical record of a substance and its known source functions. The models will be evaluated using existing data sets for sediment-associated deposits of polycyclic aromatic hydrocarbons in existing dated sediment cores and polychlorinated biphenyls in sediments from freshwater Lake Michigan estuaries. In addition, an experimental program will be conducted focusing on polycyclic aromatic hydrocarbons and polychlorinated dibenzo- p-dioxines in Lake Michigan, Green Bay and the lower Fox River of Wisconsin. The goal of this project is to develop source-attribution methods for potential use in management of aquatic water quality. These methods, previously extensively used in characterizing sources of air pollutants, may prove especially effective in dealing with non-point sources of pollution. While point-sources of water pollution are generally readily identifiable, non-point sources such as those attributable to deposition from the atmosphere are not. Results of this research are expected to lead to improved models that can be utilized in engineering design of pollution control facilities and remediation of polluted aquatic resources. ***