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Methods and Models to Improve the Use of Integrated Assessments in Environmental Decision Making: A Case Study Using Air Pollution in Mexico City

Methods and Models to Improve the Use of Integrated Assessments in Environmental Decision Making: A Case Study Using Air Pollution in Mexico City
改进综合评估在环境决策中的应用的方法和模型:墨西哥城空气污染案例研究
批准号:
9909143
负责人:
Mario Molina
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-03-01 至 2004-02-29

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中文摘要
翻译
拟议的研究将开发工具和方法,可广泛用于对美国和世界其他国家的复杂环境问题进行综合评估,特别适用于墨西哥城。该提案侧重于四个关键问题:(一)开发综合评估方法和工具,旨在利用现有的最佳数据和现有的共同和公认的模型,以产生与政策相关的结果;(二)开发将城市、区域和全球空气污染模型,特别是气溶胶模型结合起来的方法;(三)制定方法,将城市、区域和全球范围内能源、运输和工业部门的排放量估计与政策影响联系起来;以及(iv)发展影响分析方法,根据美国的综合数据,根据当地条件和人口统计数据,定制健康影响损害函数,用于政策分析。
英文摘要
The proposed research will develop tools and methodologies that can be broadly applied for conducting integrated assessments of complex environmental issues in the United States and in other countries around the world, with specific application to Mexico City. The proposal focuses on four critical issues: (i) development of integrated assessment methodologies and tools aimed at using the best available data and existing common and accepted models in order to produce policy-relevant results; (ii) development of methods to couple urban, regional, and global air pollution models, particularly for aerosols; (iii) development of methodologies to link emissions estimates and policy impacts in urban, regional and global contexts for energy, transportation, and industrial sectors; and (iv) development of impact analysis methodologies for tailoring health effects damage functions based on composite US data to local conditions and demographics for use in policy analysis.
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会议论文
Atmospheric Processing of Organic Aerosols
  • 批准号:
    0630385
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2006
  • 负责人:
    Mario Molina
  • 依托单位:
Atmospheric Field Measurements in the Mexico City Metropolitan Area
Heterogeneous Chemistry of HOx Radicals in the Troposphere
Atmospheric Chemistry of Low Volatility Organic Compounds
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
新型手性NAD(P)H Models合成及生化模拟