Numerical Modeling of Coupled Ground & Surface Water Flow & Transport

耦合接地的数值模拟

• 批准号: 0411413
• 负责人: Clinton Dawson
• 金额: $ 40万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0411413&HistoricalAwards=false
• 关键词: Numerical; Modeling; Coupled; Ground; &amp

The objective of this project is to develop advanced numerical methodsfor modeling flow and transport processes in coupled surfacewater/ground water systems. As the relevant processes, and spatialand temporal scales, can strongly differ in the various subdomains ofa coupled hydrosystem, different modeling concepts must be chosen forthese subdomains. The PIs will investigate appropriate mechanisms forcoupling mass, momentum and species transport in ground water and surfacewater regions. This will include mathematical formulation andalgorithmic and software tool development between different domainsand models. Efficient discretization techniques, based on finiteelement technology developed by the PIs and adapted to the dominantprocesses in each region, will be developed. The stability ofthese methods will be analyzed, and a priori and a posteriori errorestimates will be derived. Time-stepping strategies for accuratelyhandling the different temporal scales within these flow and transportdomains will be studied, and fast and robust solution methods for theresulting linear and nonlinear systems of equations will be developed.Representative benchmark problems based on laboratory and fieldexperiments will be formulated and will be used to validate thenumerical methods. The resulting methodology will be implementedwithin a parallel computing framework for distributed and gridcomputing platforms.Sustainable management and protection of water resources is one of thekey problems of the 21st century. Comprehensive, long-range waterresource management requires a careful study of the interaction ofground water and surface water. Historically, ground water aquifersand surface water bodies, such as streams, lakes and wetlands, havebeen studied in isolation, without properly accounting for theinteractions between them. Recent data, however, collected in theUnited States and abroad, give startling evidence of the effectsurface water and ground water systems have on each other. Thesestudies indicate, for example, that water contamination can easily betransmitted from ground to surface water and vice versa. In manycases, the precise location of initial contamination is irrelevant,because the close proximity of ground and surface water can result inboth being contaminated. Advanced computer simulators are needed tostudy and predict the movement of potentially harmful chemical specieswithin these complex environments. In this project, the PIs willdevelop mathematical models and state-of-the-art computationalalgorithms and technologies for simulating large-scale ground andsurface water systems. The project will involve the collaboration ofthe PIs with researchers at government laboratories and stateagencies, and will include the training of graduate and undergraduatestudents. The technology to be developed has potential application toother areas, including thermal and chemical processing, biomedicine,and sequestration of carbon dioxide from the atmosphere.

该项目的目标是开发先进的数值方法，用于模拟地表水/地下水耦合系统中的流动和输运过程。 由于耦合水系统的各个子区域中的相关过程和时空尺度可能存在很大差异，因此必须为这些子区域选择不同的建模概念。PI将调查适当的机制forcoupling质量，动量和物种在地下水和地表水地区的运输。 这将包括不同领域和模型之间的数学公式、算法和软件工具开发。 有效的离散化技术，由PI开发的有限元技术的基础上，并适应在每个地区的dominantprocesses，将开发。 对这些方法的稳定性进行了分析，并给出了先验和后验误差估计。 将研究用于准确处理这些流动和运输领域内不同时间尺度的时间步进策略，并将为由此产生的线性和非线性方程组开发快速和鲁棒的求解方法。将制定基于实验室和现场实验的代表性基准问题，并将用于验证数值方法。 水资源的可持续管理和保护是21世纪世纪的关键问题之一。 全面、长期的水资源管理需要仔细研究地下水和地表水的相互作用。 从历史上看，地下水含水层和地表水体，如河流、湖泊和湿地，一直被孤立地研究，而没有适当地考虑它们之间的相互作用。 然而，最近在美国和国外收集的数据，给地表水和地下水系统相互影响的令人吃惊的证据。 这些研究表明，例如，水污染可以很容易地从地下水传播到地表水，反之亦然。 在许多情况下，最初污染的精确位置是无关紧要的，因为地下水和地表水的接近可能导致两者都被污染。 需要先进的计算机模拟器来研究和预测这些复杂环境中潜在有害化学物质的运动。 在这个项目中，PI将开发数学模型和最先进的计算算法和技术，用于模拟大规模的地下和地表水系统。 该项目将涉及PI与政府实验室和国家机构的研究人员的合作，并将包括对研究生和本科生的培训。 待开发的技术有可能应用于其他领域，包括热处理和化学处理、生物医学以及从大气中封存二氧化碳。