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论在空间灾害性天气条件下低频太阳射电观测在预警心脑血管事件中的作用

On the Role of Observation of Solar Low-Frequency Radio Bursts in Hazardous Space Weather in the Early Warning of Cardiovascular Cerebrovascular Events

  • 摘要: 太阳活动是对地球及人类生活影响最直接的天文活动,在航空航天、通信、电力以及人体健康方面影响着人类的生产生活。通过以往的一些研究结果分析非光学(non-optical) 范畴的太阳活动例如日冕物质抛射、太阳射电爆发与某些人类疾病呈正相关性,这与低频太阳活动对日地空间的影响有密切联系。采用云南天文台2012年上半年70 MHz~1 500 MHz波段观测数据与昆明医科大学第一附属医院心脑血管病例结合进行相关分析,得到利用低频太阳活动爆发对人体影响预警的时间延迟因子(与等离子体抛射物质到达地球有关)。通过研究证明利用直接太阳低频射电观测数据能够较之于之前国际上利用宇宙线的福布希下降进行的空间天气预警提前2~3 d,有效地提高了预警效果,为下一步基于低频空间异动观测数据现报——健康实时预警系统的建立打下了工作基础。

     

    Abstract: Solar activities are the astronomical factors most directly influencing the earth and human conditions, e.g. in aerospace activities, communications, power supplies, and human health. There have been some past studies showing positive correlations between occurrences of some human diseases and solar activities evident through non-optical radiations, such as CMEs. The correlations may be closely linked to influences of solar low-frequency radio activities in the solar-terrestrial space. In this paper we present a study of statistical correlations between solar radio data and occurrences of cardiovascular/cerebrovascular events. The solar data are in the frequency range 70MHz-1500MHz and were obtained by the 40m solar radio telescope of the Yunnan Observatories in the first six months of 2012. The cardiovascular/cerebrovascular events were those treated in the First Affiliated Hospital of the Kunming Medical University in the same time period. We have found that human-health conditions start to change on days that are statistically delayed from solar bursts by a period. The time delay implies that a more effective early-warning time for cardiovascular/cerebrovascular events can be derived from solar low-frequency radio observations, as compared to using existing methods based on observing Forbush Decreases. The early-warning time according to our study is 2 to 3 days earlier than that given by an existing method. Our study thus provides the basis for establishing early-warning systems forecasting human health conditions from unusual space activities observed in the low-frequency radio domain.

     

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