Li Xuesong, Zhang Huanbo, Yang Long, Dong Liang, Wang Min, Lin Jun, Yu Zhuo, Wu Hui. On the Role of Observation of Solar Low-Frequency Radio Bursts in Hazardous Space Weather in the Early Warning of Cardiovascular Cerebrovascular Events[J]. Astronomical Research and Technology, 2014, 11(2): 201-208.
Citation: Li Xuesong, Zhang Huanbo, Yang Long, Dong Liang, Wang Min, Lin Jun, Yu Zhuo, Wu Hui. On the Role of Observation of Solar Low-Frequency Radio Bursts in Hazardous Space Weather in the Early Warning of Cardiovascular Cerebrovascular Events[J]. Astronomical Research and Technology, 2014, 11(2): 201-208.

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

  • 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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