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原文传递 Reliability-Based Uncertainty Analysis of Groundwater Contaminant Transport an Remediation.

题名：	Reliability-Based Uncertainty Analysis of Groundwater Contaminant Transport an Remediation.
作者：	hamed, m. m. bedient, p. b.
关键词：	contaminate plumes, cleanup, downgradient wells, estimates
摘要：	Failure to rigorously accommodate physical parameter uncertainty in groundwater transport models casts serious doubts on our ability to accurately delineate the contaminant plume at a given site. This failure could also considerably reduce the possibility of success of the remediation scheme intended to clean up a plume within the specified time. In this research, the probability that a contaminant leaking from a waste source will exceed some predetermined target level at a down-gradient well is estimated, along with the sensitivity of this probably to the basic uncertainty in input parameters. The relevant parameters are assumed random with prescribed probability distributions. We present a probabilistic modeling tool based on first- and second-order reliability methods (FORM and SORM) to account for parameter uncertainty in groundwater contaminant transport and remediation. The methodology is applied to analytical groundwater models to provide a simple screening tool for the assessment of contamination and remediation. In addition, numerical-based reliability models are developed to account for aquifer spatial heterogeneity and correlation structure in more complex systems. / Supplementary Notes: Sponsored by National Risk Management Research Lab., Ada, OK. Subsurface Protection and Remediation Div. / Availability Note: Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5285 Port Royal Road, Springfield, VA, 22161, USA.
总页数：	u0713；82p
报告类型：	科技报告