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  • 标题:An evaluation of climate/mortality relationships in large U.S. cities and the possible impacts of a climate change.
  • 作者:L S Kalkstein ; J S Greene
  • 期刊名称:Environmental Health Perspectives
  • 印刷版ISSN:0091-6765
  • 电子版ISSN:1552-9924
  • 出版年度:1997
  • 卷号:105
  • 期号:1
  • 页码:84-93
  • 语种:English
  • 出版社:OCR Subscription Services Inc
  • 摘要:A new air mass-based synoptic procedure is used to evaluate climate/mortality relationships as they presently exist and to estimate how a predicted global warming might alter these values. Forty-four large U.S. cities with metropolitan areas exceeding 1 million in population are analyzed. Sharp increases in mortality are noted in summer for most cities in the East and Midwest when two particular air masses are present. A very warm air mass of maritime origin is most important in the eastern United States, which when present can increase daily mortality by as many as 30 deaths in large cities. A hot, dry air mass is important in many cities, and, although rare in the East, can increase daily mortality by up to 50 deaths. Cities in the South and Southwest show lesser weather/mortality relationships in summer. During winter, air mass-induced increases in mortality are considerably less than in summer. Although daily winter mortality is usually higher than summer, the causes of death that are responsible for most winter mortality do not vary much with temperature. Using models that estimate climate change for the years 2020 and 2050, it is estimated that summer mortality will increase dramatically and winter mortality will decrease slightly, even if people acclimatize to the increased warmth. Thus, a sizable net increase in weather-related mortality is estimated if the climate warms as the models predict. Full text Full text is available as a scanned copy of the original print version. Get a printable copy (PDF file) of the complete article (3.0M), or click on a page image below to browse page by page. Links to PubMed are also available for Selected References . 84 85 86 87 88 89 90 91 92 93
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