Corrected System Of Regional Yunqi Model Based On Analyzing Meteorological Data

ObjectiveYunqi theory is one of Chinese meteorological periodic table, with 60 years of the basic cycle by ganzhi, and the model expansion combined with inductive, which builds a complete weather forecast system from years to solar terms. Through the theory of climate-pathogenesis, it can combine the five-yun six-qi climate patterns with different diseases and therapeutic principle, that could form for different climate types of treatment program.This is the highest focused application of TCM nature to human thought.Weather with a certain area in the atmosphere is different factors such as temperature, humidity, wind speed and which cause physical change phenomenon including rain, snow, frost, sunny and so on. Observation and long-term track record for such change and unification of a series of characteristic rule summary, that is climate.Based on these, this study through the statistical analysis of yunqi data and meteorological data, summarize its regularity, and draw the corresponding statistics and computation model, link yunqi and meteorology, build a complete regional yunqi model system based on meteorological data analysis.Methods1. Through the collection of yunqi theory research literature in recent years, especially kinds of using the same meteorological data to study five-yun and six-qi literature, combing the various different research ideas and contexts, to find common ground and controversial points, research development general trend analysis summary, statistics analysis lays the foundation for later.2. According to the results of previous literature analysis, to study the main concept of yunqi and defined criteria. According to the theory of yunqi and geography with the combination of content, find the related information to determine the ancient and modern similar regional classification standards;And in accordance with the above two criteria to separate different parts of the group, model group and control group;At the same time, looking for representative diversity of the region in different areas, as the basis of regional studies.3. Filter the corresponding meteorological data by the group and selected region, make sure it could representative yunqi meteorological elements, and the data is integrity and effective to facilitate calculation;Then use statistical methods to analyze yunqi data and meteorological data, the characteristics of the different parts of the yunqi and its correlation and regression, correlation coefficient and regression equation are obtained.4. In the region on the basis of statistical analysis of data, further consolidation area that can represent the standardization of related data, then the same regression analysis, draw the corresponding regression model, eventually build regional yunqi corrected system.ResuIts1. The 9 major area with 22 region are selected in this study, which can represent the vast majority of the population of the country’s residential area and climate types, and the results are broadly representative. Through the meteorological data statistical tests, around 88.9% meteorological elements of the region have significant differences. These differences are obvious between different latitudes and altitudes.2. Through analysis of 22 regions yunqi data statistics, it is concluded that:under 5-grade marking, zhengzhou and yinchuan in line with the highest score 3.5;Lushi, xi’an, xining conforms to the score is 3;Harbin, changchun, beijing, hailar, taiyuan, jinan, Nanjing, accord with scores of 2.5;Shenyang, hohhot, guiyang, chengdu conforms to the score is 2;Urumqi, lanzhou, nanchang, fuzhou, accord with scores of 1.5;Guangzhou conforms to the score is l;Haikou in line with the score of 0.3. Based on the model of zhengzhou, standardizing meteorological data and its the correlation coefficient of each cities:Lushi 0.756; Xi’an 0.767; Harbin 0.448; Changchun 0.489; Shenyang 0.569; Beijing 0.562; Hailaer 0.206; Hohhot0.555; Taiyuan0.715; Urumqi0.599; Yinchuan0.652; Xining0.344; Lanzhou0.358; Guiyang0.363; Chengdu0.620; Guangzhou0.587; Haikou0.367; Nanchang0.825; Fuzhou 0.653; Jinan 0.715; Nanjing 0.744. All in the regression analysis cubic equation is goodness-of-fit.4. On the basis of the middle palace in the model group, the standardization of the area meteorological data curve estimation of goodness of fit for:the northeast palace in the control group,0.329; North palace in the control group, 0.343; Northwest palace in the control group,0.531; West palace in the control group,0.239; Southwest palace in the control group 0.333; The south palace in the control group 0.371; Southeast palace in the control group 0.598; The east palace in the control group 0.539.Conclutions1. Jiugong area division can reflect the climate difference well enough which due to factors such as latitude and longitude and altitude difference, and also can be supported by the calculation results of meteorological data.2. Meteorological data standardization transformation and integration can maximize the elimination unit barriers between different meteorological elements, making it possible to facilitate the calculation that contains the values of all elements, this also provides a feasible ideas and methods for the subsequent in more areas, more meteorological elements, more similar in terms of time dimension research.3. Zhengzhou yunqi situation is the highest conforms to the the middle palace and all of the areas, as a regional correction system model to calculate standard value and other control area of correlation analysis and regression analysis, and then calculated each control area correction value, so we can build out of yunqi model updating system.4. Regional correction system choose the middle palace in the area as a model to calculate standard value, other control area according to the regression analysis that each control area of correction value, so as to establish a unified regional yunqi model updating system.