CHARACTERIZING GROUNDWATER CONTAMINATION AT A HETEROGENOUS FIELD SITE

拟议研究的目的是开发一种程序， 用于描述危险废物处理厂地下水污染的特征 网站. 我们特别关注的是人物刻画的设计 能够适应复杂环境条件的工具。 项目 将是一个新的网站特性的方法开发的扩展， 主要研究者及其同事（Graham和McLaughlin 1989 a，B; Graham and McLaughlin，in press; Li and McLaughlin，in press）。 这些 方法产生地下污染物的真实多维图 通过将现场测量与数学模型相结合来确定浓度。 这里提出的项目将扩大以前的工作，包括重要的 过去被忽视的不确定性来源。 这些 其他来源包括地下水的空间和时间变异性 补给、吸附和生物降解特性的空间变异性， 以及污染源的位置和大小的不确定性。 我们 计划测试我们的扩展网站表征程序在危险的 阿伯乔纳河流域的垃圾场 开发一个 对现场自然变化的统计描述将 作为团队工作的一部分收集， 教授Gschwend，Krumholz，Gelhar，and Hemond. 的终极产物 我们的场地特征鉴定程序将是一个有效的系统， 描述了修复之前和修复期间的地下污染。 本程序中使用的计算机算法将可用于 感兴趣的各方和基本概念将在文章中总结 发表在参考文献中。

The objective of the proposed research is to develop a procedure that can be used to characterize groundwater contamination at hazardous waste sites. We are particularly concerned with the design of characterization tools which can adapt to complex environmental conditions. The project will be an extension of new site characterization methods developed by the principal investigator and his coworkers (Graham and McLaughlin 1989a,b; Graham and McLaughlin, in press; Li and McLaughlin, in press). These methods produce realistic multi-dimensional maps of subsurface contaminant concentration by combining field measurements with mathematical models. The project proposed here will expand previous work to include important sources of uncertainty that have been ignored in the past. These additional sources include spatial and temporal variability in groundwater recharge, spatial variability in sorption and biodegradation properties, and uncertainties in the location and size of contaminant sources. We plan to test our extended site characterization procedure at a hazardous waste site in the Aberjona River Basin. The data needed to develop a statistical description of natural variability at the site will be collected as part of a team effort which will involve participation by Profs. Gschwend, Krumholz, Gelhar, and Hemond. The ultimate product of our site characterization procedure will be an efficient system for describing subsurface contamination both before and during remediation. The computer algorithms used in this procedure will be available to interested parties and the basic concepts will be summarized in articles published in the refereed literature.