EVALUATING ENVIRONMENTAL DECISION SUPPORT TOOLS. | |
SULLIVAN, T. | |
Brookhaven National Laboratory | |
关键词: Decision Making; Management; Economics; Remedial Action; Taxonomy; | |
DOI : 10.2172/15016504 RP-ID : BNL--74699-2005-IR RP-ID : AC02-98CH10886 RP-ID : 15016504 |
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美国|英语 | |
来源: UNT Digital Library | |
【 摘 要 】
Effective contaminated land management requires a number of decisions addressing a suite of technical, economic, and social concerns. These concerns include human health risks, ecological risks, economic costs, technical feasibility of proposed remedial actions, and the value society places on clean-up and re-use of formerly contaminated lands. Decision making, in the face of uncertainty and multiple and often conflicting objectives, is a vital and challenging role in environmental management that affects a significant economic activity. Although each environmental remediation problem is unique and requires a site-specific analysis, many of the key decisions are similar in structure. This has led many to attempt to develop standard approaches. As part of the standardization process, attempts have been made to codify specialist expertise into decision support tools. This activity is intended to facilitate reproducible and transparent decision making. The process of codifying procedures has also been found to be a useful activity for establishing and rationalizing management processes. This study will have two primary objectives. The first is to develop taxonomy for Decision Support Tools (DST) to provide a framework for understanding the different tools and what they are designed to address in the context of environmental remediation problems. The taxonomy will have a series of subject areas for the DST. From these subjects, a few key areas will be selected for further study and software in these areas will be identified. The second objective, will be to review the existing DST in the selected areas and develop a screening matrix for each software product.
【 预 览 】
Files | Size | Format | View |
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15016504.pdf | 455KB | download |