本文選題：吉林省 + 氣象資料　； 參考：《長春中醫(yī)藥大學》2016年碩士論文

【摘要】：目的:探析《黃帝內(nèi)經(jīng)》九宮八風理論的源流、九宮八風之風,九宮八風致病規(guī)律及其在中醫(yī)中的應用的理論內(nèi)涵;基于吉林省氣象資料,是對九宮八風的大小周期的節(jié)律性進行研究,論證九宮八風理論的自然科學背景。方法:按照九宮八風時間年節(jié)律將吉林省長春、四平、臨江、延吉、前郭爾羅斯五個地區(qū)(1953年冬至日開始——2011年冬至日前一天)的日氣象數(shù)據(jù)分為冬至、立春、春分、立夏、夏至、立秋、秋分、立冬八個時間跨度五十八年的相應節(jié)氣組別。以每一節(jié)平均水汽壓、平均風速、平均相對濕度、最小相對濕度四氣象因子的平均數(shù)為依托,構建五地區(qū)四氣象因子八節(jié)氣象組別共160組數(shù)據(jù)為數(shù)據(jù)模型。運用SPSS19.0軟件,單因素方差分析多重比較的方法對不同氣象因子組別進行差異多重比較;運用獨立樣品T檢驗的方法,對同一氣象組的組內(nèi)差異進行比較分析,以此對九宮八風年節(jié)律大周期衍變規(guī)律進行研究;運用描述性研究法對每組原始真實數(shù)據(jù)圖表進行研究,論證九宮八風的小周期節(jié)律。結果:五地區(qū)五十八年的平均水汽壓、平均風速、平均相對濕度、最小相對濕度四個氣象因子共計160個節(jié)氣組別差異比較,p值均小于0.05,證明同一地區(qū)八節(jié)分組兩兩差異顯著;獨立樣品T檢驗的160個節(jié)氣組中,有144個節(jié)氣組差異p值大于0.05,證明了90%節(jié)氣組組內(nèi)差異不明顯,進而證明五十八年內(nèi)八節(jié)氣象組內(nèi)部的穩(wěn)定性。其中平均水汽壓在五十八年內(nèi),每一年、每一節(jié)的變化趨勢穩(wěn)定,其他氣象因子的堆積折線圖亦反映出八節(jié)的小周期規(guī)律存在。結論:九宮八風理論具有高度的科學性和規(guī)律性,能夠反映氣候變化的規(guī)律。以年為節(jié)律的大周期和以45天(有的節(jié)是46天或47天)的氣候變化小周期的規(guī)律是存在的。
[Abstract]:Objective: to explore the theoretical connotation of the theory of Jiugong eight wind, the wind of Jiugong eight wind, the pathogenic law of Jiugong eight wind and its application in traditional Chinese medicine, based on the meteorological data of Jilin Province. It is to study the rhythm of the period of Jiugong eight wind, and to demonstrate the natural science background of Jiugong eight wind theory. Methods: the daily meteorological data of Changchun, Siping, Linjiang, Yanji and former Guolos of Jilin Province were divided into the Winter Solstice, the Beginning of Spring, the Spring Equinox, the Beginning of Summer according to the annual rhythm of Jiugong and eight winds (the Winter Solstice, the Beginning of Spring, the Spring Equinox, the Beginning of Summer). The Summer Solstice, the Beginning of Autumn, the Autumn Equinox, the Beginning of Winter, eight time span of the corresponding solar sector 58 years. Based on the average water vapor pressure, average wind speed, average relative humidity, minimum relative humidity and the average of four meteorological factors in each section, 160 groups of meteorological data of four meteorological factors and eight sections in five regions were constructed as data model. Using SPSS19.0 software, single factor analysis of variance (ANOVA) multiple comparison method is used to compare the difference of different meteorological factor groups, and the method of independent sample T test is used to compare and analyze the intra-group difference of the same meteorological group. Based on this, the law of large period evolution of the annual rhythm of Jiugong eight wind is studied, and the small period rhythm of Jiugong eight wind is demonstrated by using descriptive research method to study each group of original real data charts. Results: the average water vapor pressure, average wind speed, mean relative humidity and minimum relative humidity of four meteorological factors in 58 years in five regions were all less than 0.05, which proved that the difference between two and two groups of eight nodes in the same area was significant. Of the 160 solar terms tested by T-test, 144 had a difference (p > 0.05), which proved that there was no significant difference in 90% of the solar terms, and thus the internal stability of the eight meteorological groups within 58 years. Among them, the average water vapor pressure is 58 years, every year, the change trend of each section is stable, and the accumulative folding line diagram of other meteorological factors also reflects the existence of the small period law of eight sections. Conclusion: the theory of Jiugong and Bafeng is highly scientific and regular and can reflect the law of climate change. The regularity of large period with year as rhythm and small period of climate change with 45 days (sometimes 46 days or 47 days) exists.
【學位授予單位】：長春中醫(yī)藥大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：R221

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