Min/Max Autocorrelation Factors in Time Series Studies of the Adverse Health Effects of Ozone.

臭氧对健康不利影响的时间序列研究中的最小/最大自相关因子。

• 批准号: DP140100551
• 负责人: Prof Steven Roberts
• 金额: $ 6.52万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-09-29 至 2018-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140100551
• 关键词: Min; Max; Autocorrelation; Factors; Time

The annual health costs associated with exposure to air pollution in Australia have been estimated at between $3 and 5.3 billion. Given these costs, it is vital to conduct research that ensures public health officials and policy makers stay fully informed of Australia’s air pollution problem. The project proposes to address this need by developing methodology to detect trends in air pollution concentrations and reduce measurement error in recorded air pollution concentrations. This will enable relevant authorities to produce more accurate estimates of air pollution health costs and implement more appropriate pollution regulations and health warnings.

据估计，澳大利亚每年与空气污染有关的健康成本在30亿至53亿美元之间。考虑到这些成本，进行研究以确保公共卫生官员和政策制定者充分了解澳大利亚的空气污染问题至关重要。该项目提议通过制定方法来检测空气污染浓度的趋势并减少记录的空气污染浓度的测量误差来满足这一需要。这将使有关当局能够更准确地估计空气污染的健康成本，并实施更适当的污染法规和健康警告。