CAREER: Development of Computational Methods for the New Generation of Air Quality Models

职业:新一代空气质量模型计算方法的开发

基本信息

  • 批准号:
    0093139
  • 负责人:
  • 金额:
    $ 32.57万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2001
  • 资助国家:
    美国
  • 起止时间:
    2001-02-01 至 2004-09-30
  • 项目状态:
    已结题

项目摘要

Air quality computer models are widely used investigation tools in environmental research;many physical and chemical processes are modeled and their integrated impacts on atmospheric pollutantconcentrations studied. These models are also important tools for regulatory and policy communities, andare used to develop optimal emission control strategies for atmospheric pollutants, as required bythe National Ambient Air Quality Standards.The level of confidence in modeling results depends critically on the accuracy of numerical methodsemployed, as well as on the robustness of the underlying implementation. This research willdevelop state-of-the-art computational methods and software techniques for use in air quality modelingwork on time stepping methods. Special purpose algorithms will be developed for simultaneous treatment of box model processes, including aerosol dynamics, gas and liquid phase chemistry and interphase mass transfer. Higher accuracies and lower computational times are targeted.Particulate matter (aerosol) processes have recently became a priority focus area in environmental science. Incorporating aerosol processes in the models leads to an order of magnitude increase in the overall computational time. The research will extend into the area of solving the integro-differential equations thatgovern particle evolution; specifically, the proposed work will improve the theoretical framework and willbuild fast and reliable numerical techniques for aerosol dynamics-chemistry simulations.Together with the physical/chemical process understanding and numerical algorithm design, software tech-nology is an important component of these models. Another objective of the project is to explore softwaredesign techniques and tools that will make the modeling software easier to use, to maintain and to develop.The resulting object-oriented version of a generic Eulerian model will illustrate the new approach to soft-ware construction and will constitute an ideal environment for developing and testing specialized numericalmethods.The educational goal is to enhance interdisciplinary education in computationally-oriented disciplines.Since much of the science and technology of the future and many of the new industries will cross theboundaries of traditional disciplines, interdisciplinary education becomes increasingly important. Some ofthe newest high demand areas involve computing and information technology together with other fields:teaching and research will support the development of cutting-edge computationally-involved B.S. programs at Michigan Technological University, and continue to contribute to the Ph.D. program in Computational Science and Engineering.
空气质量计算机模型是环境研究中广泛使用的调查工具;模拟了许多物理和化学过程,并研究了它们对大气污染物浓度的综合影响。这些模型也是监管和政策团体的重要工具,并用于根据国家环境空气质量标准的要求制定大气污染物的最佳排放控制策略。建模结果的可信度主要取决于所采用的数值方法的准确性,以及底层实现的稳健性。这项研究将开发最先进的计算方法和软件技术,用于时间步进方法的空气质量建模工作。将开发用于同时处理盒模型过程的专用算法,包括气溶胶动力学,气相和液相化学以及相间传质。更高的精度和更低的计算时间是目标。近年来,颗粒物(气溶胶)过程已成为环境科学研究的一个重点领域。在模式中加入气溶胶过程导致总体计算时间的一个数量级增加。该研究将扩展到求解控制粒子演化的积分微分方程的领域;具体地说,提出的工作将改进理论框架,并将建立快速可靠的数值技术,用于气溶胶动力学-化学模拟。与物理/化学过程理解和数值算法设计一起,软件技术是这些模型的重要组成部分。该项目的另一个目标是探索软件设计技术和工具,这些技术和工具将使建模软件更易于使用、维护和开发。由此产生的通用欧拉模型的面向对象版本将说明软件构建的新方法,并将构成开发和测试专门数值方法的理想环境。教育目标是加强以计算为导向的学科的跨学科教育。由于未来的许多科学技术和许多新产业将跨越传统学科的界限,跨学科教育变得越来越重要。一些最新的高需求领域涉及计算和信息技术以及其他领域:教学和研究将支持密歇根理工大学尖端计算相关学士学位课程的发展,并继续为计算科学与工程博士课程做出贡献。

项目成果

期刊论文数量(0)
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Adrian Sandu其他文献

Computing Sensitivity Analysis of Vehicle Dynamics Based on Multibody Models
基于多体模型的车辆动力学计算灵敏度分析
  • DOI:
    10.1115/detc2013-13212
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    Yitao Zhu;D. Dopico;C. Sandu;Adrian Sandu
  • 通讯作者:
    Adrian Sandu
Chemical Data Assimilation with CMAQ: Continuous vs. Discrete Advection Adjoints
使用 CMAQ 进行化学数据同化:连续与离散平流伴随词
  • DOI:
    10.1007/978-3-642-01973-9_35
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Tianyi Gou;Kumaresh Singh;Adrian Sandu
  • 通讯作者:
    Adrian Sandu
Alternating Directions Implicit Integration in a General Linear Method Framework
通用线性方法框架中的交替方向隐式积分
  • DOI:
    10.1016/j.cam.2019.112619
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Sarshar;Adrian Sandu
  • 通讯作者:
    Adrian Sandu
Multirate generalized additive Runge Kutta methods
多速率广义加性龙格库塔方法
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    2.1
  • 作者:
    M. Günther;Adrian Sandu
  • 通讯作者:
    Adrian Sandu
Discrete adjoint variable method for the sensitivity analysis of ALI3-P formulations
ALI3-P 制剂敏感性分析的离散伴随变量法
  • DOI:
    10.1007/s11044-023-09911-x
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Álvaro López Varela;C. Sandu;Adrian Sandu;Daniel Dopico Dopico
  • 通讯作者:
    Daniel Dopico Dopico

Adrian Sandu的其他文献

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{{ truncateString('Adrian Sandu', 18)}}的其他基金

Transforming Reduced-Order Models of Fluids with Data Assimilation
通过数据同化转换流体降阶模型
  • 批准号:
    1953113
  • 财政年份:
    2020
  • 资助金额:
    $ 32.57万
  • 项目类别:
    Standard Grant
CDS&E: Space-Time Parallel Algorithms for Solving PDE-Constrained Optimization Problems
CDS
  • 批准号:
    1709727
  • 财政年份:
    2017
  • 资助金额:
    $ 32.57万
  • 项目类别:
    Standard Grant
AF: Small: General Linear Multimethods for the Time Integration of Multiscale Multiphysics Problems
AF:小:多尺度多物理问题时间积分的通用线性多方法
  • 批准号:
    1613905
  • 财政年份:
    2016
  • 资助金额:
    $ 32.57万
  • 项目类别:
    Standard Grant
Collaborative Research: Construction, Analysis, Implementation and Application of New Efficient Exponential Integrators
合作研究:新型高效指数积分器的构建、分析、实现和应用
  • 批准号:
    1419003
  • 财政年份:
    2014
  • 资助金额:
    $ 32.57万
  • 项目类别:
    Standard Grant
A Fully Discrete Framework for the Adaptive Solution of Inverse Problems
逆问题自适应求解的完全离散框架
  • 批准号:
    1218454
  • 财政年份:
    2012
  • 资助金额:
    $ 32.57万
  • 项目类别:
    Standard Grant
Collaborative Research: A multiscale unified simulation environment for geoscientific applications
协作研究:地球科学应用的多尺度统一模拟环境
  • 批准号:
    0904397
  • 财政年份:
    2009
  • 资助金额:
    $ 32.57万
  • 项目类别:
    Standard Grant
Collaborative Research: A Computational Framework for Assessing the Observation Impact in Air Quality Forecasting
合作研究:评估空气质量预测观测影响的计算框架
  • 批准号:
    0915047
  • 财政年份:
    2009
  • 资助金额:
    $ 32.57万
  • 项目类别:
    Standard Grant
CIF:Small: General Linear Time-stepping Methods for Large-Scale Simulations
CIF:Small:用于大规模仿真的通用线性时间步进方法
  • 批准号:
    0916493
  • 财政年份:
    2009
  • 资助金额:
    $ 32.57万
  • 项目类别:
    Standard Grant
Solution of Inverse Problems with Adaptive Models
自适应模型反问题的求解
  • 批准号:
    0635194
  • 财政年份:
    2006
  • 资助金额:
    $ 32.57万
  • 项目类别:
    Standard Grant
Multirate Time Integration Algorithms for Adaptive Simulations of PDEs
用于偏微分方程自适应模拟的多速率时间积分算法
  • 批准号:
    0515170
  • 财政年份:
    2005
  • 资助金额:
    $ 32.57万
  • 项目类别:
    Continuing Grant

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水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
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  • 批准号:
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学术支持、职业培训和专业发展,以改善下一代计算科学家和工程师的跨学科研究生教育
  • 批准号:
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职业:软光电分子能量流动力学的协同理论发展和计算建模
  • 批准号:
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    0196243
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  • 资助金额:
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  • 批准号:
    9875633
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