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北京市1992~1998年痢疾高发日与节气探讨 被引量:4
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作者 高京晓 谢学勤 +1 位作者 冯来强 孙秀茹 《环境与健康杂志》 CAS CSSCI CSCD 北大核心 1999年第5期285-286,共2页
为了探讨痢疾的月高发时间特征,采用圆形分布法分析了北京市1992~1998 年间74 754 例痢疾发病日期。结果表明:痢疾的高发日多为每月第一个节气前后。提示二十四节气可能与痢疾高发有一定关系。
关键词 痢疾 圆形分布 节气 北京 高发日
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Inhomogeneous trends in the onset date of extreme hot days in China over the last five decades 被引量:1
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作者 Yang Yang Zhaohui Lin +2 位作者 Lifeng Luo Yan Zhang Zhen Li 《Atmospheric and Oceanic Science Letters》 CSCD 2021年第6期33-40,共8页
Using a homogenized daily maximum temperature(T_(max))dataset across China,this study characterized the spatiotemporal variation of the onset date of extreme hot days in a year(i.e.,FirstEHD)during 1960-2018.Inhomogen... Using a homogenized daily maximum temperature(T_(max))dataset across China,this study characterized the spatiotemporal variation of the onset date of extreme hot days in a year(i.e.,FirstEHD)during 1960-2018.Inhomogeneous trends of FirstEHD over China during 1960-2018 can be found,with the advanced trend of FirstEHD over most parts in China,while a number of stations in North-Central China(NC)show the delayed trend of FirstEHD.Moreover,there exist interdecadal changes of FirstEHD trend,with a remarkable difference in the trend magnitude before and after the 1990s over South China(SC),and the sign of trend can even reverse from negative to positive after the 1990s in Xinjiang(XJ)and Yangtze River Basin(YR),and from positive to negative in NC.The overall trends of FirstEHD over NC,YR,and XJ during 1960-2018 are dominated by the trends before the 1990s,while they are dominated by the sharp advance after the 1990s over SC.It is further found that the trend of FirstEHD can generally be explained by the long-term trend in T_(max) over most parts of China,but the contribution from T_(max) variabilities is also non-negligible and can even account for more than 75% of the overall trend over NC.The possible factors responsible for the decadal changes in FirstEHD trends are also discussed. 展开更多
关键词 Extreme hot days Onset date Trend Decadal change Variability of maximum temperature
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