Historical Fluxes of Pollutants from Deconvolution of Sedimentary Records

颗粒伴生污染物的沉积记录包含了关于污染历史的有价值的信息。然而，这些记录往往是过去通量的扭曲反映，因为沉积物中的各种过程，如混合、生物降解(有机物)、放射性衰变(放射性核素)和压实。该项目旨在进一步开发从沉积剖面恢复污染物历史输入记录的方法。在适当的时候，将考虑污染物的传送带转移、分子扩散和生物降解。时间域反褶积方法将在唯一性、时间和空间间隔的最佳选择以及反褶积记录的误差度量方面进行进一步研究。还计划研究另一种基于频域反演的反卷积方法。所开发的方法将应用于文献数据和来自格林湾和密歇根湖岩心的实验数据。感兴趣的污染物包括铅、锌、镉、多氯联苯和多环芳烃。

Sedimentary records of particle.associated pollutants contain valuable informatin on the history of pollution. However, these records are often distorted reflections of past fluxes because of a variety of processes in the sediments such as mixing, biodegradation (organics), radioactive decay (radionuclides), and compaction. This project is aimed at further development of methods for recovery of the historical input record of pollutants from the sedimentary profile. Conveyor.belt transfer, molecular diffusion, and biodegradation of pollutants will be considered, when appropriate. The time domain deconvolution method will be further investigated with regard to uniqueness, optimal choice of time and space intervals, and error measures for deconvolved records. It is also planned to examine an alternative deconvolution method based on inversion in the frequency domain. The developed methods will be applied to literature data and to experimental data for cores from Green Bay and Lake Michigan. Pollutants of interest include lead, zinc, cadmium, polychlorinated biphenyls and polycyclic aromatic hydrocarbons.