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

用于模拟非点源和大气源水生污染的源归因方法

• 批准号: 9314725
• 负责人: Erik Christensen
• 金额: $ 36.66万
• 依托单位: University of Wisconsin-Milwaukee
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-04-15 至 1997-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9314725&HistoricalAwards=false
• 关键词: Source; Attribution; Methods; Modeling; Aquatic

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. ***

9314725 Christensen 该奖项旨在支持寻找有效方法来确定扩散性水生污染物来源的研究。 研究人员计划开发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，包括考虑物质的测量历史记录及其已知源函数中的误差。这些模型将使用现有数据集进行评估，这些数据集涉及现有过时沉积岩芯中与沉积物相关的多环芳烃沉积物和淡水密歇根湖河口沉积物中的多氯联苯。 此外，还将在密歇根湖、绿湾和威斯康星州福克斯河下游开展一项实验计划，重点关注多环芳烃和多氯二苯并二恶英。 该项目的目标是开发潜在用于水生水质管理的源归因方法。 这些方法以前广泛用于描述空气污染物的来源，可能在处理非点源污染方面特别有效。 虽然水污染的点源通常很容易识别，但非点源（例如大气沉积造成的污染）则不然。 这项研究的结果预计将带来改进的模型，可用于污染控制设施的工程设计和污染水生资源的修复。 ***