Multivariate methods for space-time environmental processes

时空环境过程的多元方法

• 批准号: 155802-2007
• 负责人: Le, Nhu
• 金额: $ 1.38万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=422611
• 关键词: Multivariate; methods; space; time; environmental

The overall objective is to develop multivariate methods for modelling environmental processes where available data include both monitoring measurements and output from deterministic (physical) models. Although data from both sources attempt to replicate reality, they have very different characteristics. The monitoring data attempt to replicate the micro environment whereas the physical model represents the macro environment (eg. MAQSIP: 6km x 6km grid cells). The environmental fields under consideration may include multiple pollutants (ie. Multivariate responses), and generally have both spatial and temporal correlation structures as well as being non-stationary and non-Gaussian. A variety of research problems will be studied to incorporate these features in the modelling of environmental space-time processes.

总的目标是制定多变量方法，在现有数据包括监测测量和确定性（物理）模型输出的情况下模拟环境过程。虽然这两个来源的数据都试图复制现实，但它们具有非常不同的特征。监测数据试图复制微观环境，而物理模型代表宏观环境（例如，MAQSIP：6km x 6km网格单元）。所考虑的环境领域可能包括多种污染物（即。多变量响应），并且通常具有空间和时间相关结构以及非平稳和非高斯。 将研究各种研究问题，以将这些特征纳入环境时空过程的建模中。