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  3. Bioenvironmental Systems Engineering / 生物環境系統工程學系
  4. Inverse Analysis of Identifying Groundwater Contaminant Source and its Release History Along with Optimizing Dispersivity Spatial Patterns
 
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Inverse Analysis of Identifying Groundwater Contaminant Source and its Release History Along with Optimizing Dispersivity Spatial Patterns

Date Issued
2004
Date
2004
Author(s)
Chen, Chia-Jeng
DOI
en-US
URI
http://ntur.lib.ntu.edu.tw//handle/246246/55955
Abstract
Abstract The initial step in groundwater contamination control and remediation process is to identify the location of the source and its release history. The general groundwater inverse problems focus on estimating hydrogeological parameters in order to simulate groundwater flow and transport process effectively. To identify the location and recover the release history of groundwater contaminant source may be an important goal of the inverse model after effective simulation. Therefore, this study identifies groundwater contaminant source with optimizing hydrogeological parameter dispersivity simultaneously. Thereafter, recovering release history of contaminant source is the other part of this study. This study designs cases to analog to these problems. It is wished to demonstrate the practicability of the inverse analysis model in advance. In optimizing dispersivity zoning patterns, true dispersivity in the study area are designed to randomly distribute. The true contaminant source is designed to emit steadily. With few observation wells, Genetic Algorithms and Voronoi Zonation method are used to calibrate the location of contaminant source and the optimized spatial distribution of dispersivity. In recovering release history of contaminant source, this study proposes a method to estimate release beginning, ending time and associated emission quantity. Furthermore, the unified block-out method is proposed to expand release beginning and ending time group variables to recover complicate release history. The same stopping criteria used in determining optimal numbers of dispersivity zone are adopted to determine the optimal number of variable groups. In summary, this study proposes methodologies which can identify groundwater contaminant source with optimizing dispersivity zoning patterns and recovering release history effectively. The results of designed cases prove the practicability. The methods can be references to future studies.
Subjects
地下水污染
排放歷程
反向分析
遺傳演算法
Release history
Inverse analysis
Genetic algorithms
Groundwater contaminant
Type
thesis
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ntu-93-R91622010-1.pdf

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