检索结果-南通市图书馆

National Prediction of Ambient fine particulates: 2000-2009

Open Journal of Air Pollution 2016年第3期5卷 95-108页

作者： David J. Shavlik Sam Soret W. Lawrence Beeson Mark G. Ghamsary Synnove F. Knutsen Center for Community Resilience School of Public Health Loma Linda University Loma Linda USA Center for Nutrition Healthy Lifestyle and Disease Prevention School of Public Health Loma Linda University Loma Linda USA

A large body of evidence links ambient fine particulates (PM2.5) to chronic disease. Efforts continue to be made to improve large scale estimation of this pollutant for within-urban environments and sparsely monitored areas. Still questions remain about modeling choices. The purpose of this study was to evaluate the performance of spatial only models in predicting national monthly exposure estimates of fine particulate matter at different time aggregations during the time period 2000-2009 for the contiguous United States. Additional goals were to evaluate the difference in prediction between federal reference monitors and non-reference monitors, assess regional differences, and compare with traditional methods. Using spatial generalized additive models (GAM), national models for fine particulate matter were developed, incorporating geographical information systems (GIS)-derived covariates and meteorological variables. Results were compared to nearest monitor and inverse distance weighting at different time aggregations and a comparison was made between the Federal Reference Method and all monitors. Cross-validation was used for model evaluation. Using all monitors, the cross-validated R2 was 0.76, 0.81, and 0.82 for monthly, 1 year, and 5-year aggregations, respectively. A small decrease in performance was observed when selecting Federal Reference monitors only (R2 = 0.73, 0.78, and 0.80 respectively). For Inverse distance weighting (IDW), there was a significantly larger decrease in R2 (0.68, 0.71, and 0.73, respectively). The spatial GAM showed the weakest performance for the northwest region. In conclusion, National exposure estimates of fine particulates at different time aggregations can be significantly improved over traditional methods by using spatial GAMs that are relatively easy to produce. Furthermore, these models are comparable in performance to other national prediction models.

关键词： Long-Term Air Pollution GAM Prediction fine particulates

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Changes in Life Expectancy of Respiratory Diseases from Attaining Daily PM_(2.5) Standard in China: A Nationwide Observational Study

引用

The Innovation 2020年第3期1卷 12-19页

作者： Yin Yang Jinlei Qi Zengliang Ruan Peng Yin Shiyu Zhang Jiangmei Liu Yunning Liu Rui Li Lijun Wang Hualiang Lin Department of Epidemiology School of Public HealthSun Yat-sen UniversityNo.74 Zhongshan Road 2Yuexiu DistrictGuangzhou 510080China National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and PreventionNo.27 Nanwei RoadXicheng DistrictBeijing 100050China

Although exposure to air pollution increases the risk of premature mortality and years of life lost(YLL),the effects of daily air quality improvement to the life expectancy of respiratory diseases remained *** applied a generalized additive model(GAM)to assess the associations between daily PM_(2.5) exposure and YLL from respiratory diseases in 96 Chinese cities during 2013–*** further estimated the avoidable YLL,potential gains in life expectancy,and the attributable fraction by assuming dailyPM_(2.5) concentration decrease to the air quality standards of China and World Health *** and national results were generated by random-effects meta-analysis.A total of 861,494 total respiratory diseases and 586,962 chronic obstructive pulmonary disease(COPD)caused death from 96 Chinese cities were recorded during study *** 10 mg/m3 increase of PM_(2.5) in 3-day moving average(lag02)was associated with 0.16(95%CI:0.08,0.24)years increment in life expectancy from total respiratory *** highest effect was observed in Southwest region with 0.42(95%CI:0.22,0.62)years increase in life *** attaining the WHO's Air Quality Guidelines,we estimated that an average of 782.09(95%CI:438.29,1125.89)YLLs caused by total respiratory death in each city could be avoided,which corresponded to 1.15%(95%CI:0.67%,1.64%)of the overall YLLs,and 0.12(95%CI:0.07,0.17)years increment in life *** results of COPD were generally consistent with total respiratory *** findings indicate that reduction in daily PM_(2.5) concentrations might lead to longer life expectancy from respiratory death.

关键词： fine particulates YEARS OF LIFE LOST RESPIRATORY DISEASES CHRONIC OBSTRUCTIVE PULMONARY DISEASE CHINA

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：