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Hybrid models for contamination assessment (HYMCAT)

Hybrid models for contamination assessment (HYMCAT)
污染评估混合模型 (HYMCAT)
批准号:
531223599
负责人:
Professor Dr. Peter Dietrich
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:

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中文摘要
翻译
拟议项目的核心假设是,需要开发基于过程的混合模型,以改进对大量PC和受污染场地的评估(风险或补救方法)。混合模型可以使用现有建模方法(如分析,数值,无网格AEM等)的某种组合来开发。为了检验这一假设,本提案概述了以下四个目标。1.识别、修改或开发适合混合模型开发的基于分析和分析单元法(AEM)的模型。2.确定获得经验函数的方法,并开发包含足够字段复杂性的基础混合模型(例如,异质性)和震源几何形状。3.改进开发的混合模型,以包括实际的边界条件,如水文地质应力(补给和排水)。4.根据现有的分析和/或AEM模型、更复杂的数值模型,并包括合成和现场数据,评估开发的混合模型。
英文摘要
The central hypothesis of the proposed project is that process-based hybrid models are required to be developed for improving the assessment (risk or remediation approach) of very large number of PC and contaminated sites. The hybrid models can be developed using some combination of existing modelling approaches (such as analytical, numerical, meshless-AEM etc). To test this hypothesis, the following four objectives are outlined in this proposal. 1. Identify, modify, or develop analytical and analytic element method (AEM) based models suitable for the development of hybrid models. 2. Identify methods for obtaining empirical functions and develop basis hybrid models with the inclusion of sufficient field complexities (e.g., heterogeneity) and source geometry. 3. Improve the developed hybrid models to include practical boundary conditions such as hydrogeological stresses (recharge and drainage). 4. Evaluate the developed hybrid models against available analytical and/or AEM models, more complex numerical models, and including synthetic and field data.
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会议论文
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