| Normal reference value of the vital capacity is a very important index on lung function testing.It can be used to diagnose the degree of restrictive impairment of respiratory function.The vital capacity increases or reduces is always explained by pathology or physiology which is much about human's height,weight and age,ignoring the effect of environment factors such as topography,climate,and physiognomy on human's lung function.After the full retrieval,it is discovered that although many papers have reported the relationship between normal value of vital capacity and geographical factors,only the qualitative description or the simple linear regression analysis is used.By far,no paper does such quantitative,linear and nonlinear research on the normal value of vital capacity and geographical factors based on the entire geographical environment and systemic study on China as a large region.The innovation of this paper is that normal value of vital capacity of the different age groups and the different gender groups of Chinese and geographical factors are quantitatively researched by linear and nonlinear methods,and deepening people's cognition.To explore the complex relationship between normal reference value of vital capacity and seven geographical factors,through searching a lot of documents and buying data from some units,normal reference value of vital capacity of the different age and the different gender groups of people in all the Chinese regions can be collected.According to sharing materials from The State Bureau of Surveying and Mapping,The Chinese Meteorological Data Central,the related geographic works, dictionary and literature,altitude(X1),annual sunshine duration(X2),annual mean air temperature (X3);annual mean relative humidity(X4),annual precipitation amount(X5),annual range of air temperature(X6);annual mean wind speed(X7) can be collected.This paper builds many models between vital capacity and geographical factors by multiply liner regression analysis,partial least squares regression analysis,ridge regression analysis,nonlinear regression analysis,BP artificial neural networks,compares the linear and the nonlinear models,then the best model is chosen to predict the vital capacity of the different age and the different gender groups of people in all the Chinese regions.The models are as follows:①Applying BP artificial neural networks,5 NN network is built to predict normal reference value of the vital capacity of boy,training time is 264,model is best;②Applying partial least squares regression analysis to predict normal reference value of the vital capacity of girl,the model is: (?)=1321.21-0.043514X1+0.010103X2-0.25246X3-0.75417X4-0.013527X5 +3.83186X6+38.61289X7±133.50:③Applying partial least squares regression analysis to predict normal reference value of the vital capacity of adolescent boys,the model is:(?)=3024.77-0.131640X1+0.022388X2+2.381548X3-1.344117X4-0.030850X5 +7.881706X6+39.820870X7±557.93:④Applying BP artificial neural networks,5 NN network is built to predict normal reference value of the vital capacity of adolescent girls,training time is 3000,model is best;⑤Applying nonlinear regression analysis to predict normal reference value of the vital capacity of young men,the model is:(?)=4890.41-0.03057X1-0.094425X2+27.2634X3-1.3680X32-12.4397X4 -0.1151X5-3381.2805/X6+18.1272X7±255.69:⑥Applying partial least squares regression analysis to predict normal reference value of the vital capacity of young women,the model is:(?)=2692.70-0.001604X1+0.017849X2-2.28365X3-1.42546X4-0.029721X5 +1.94182X6+12.64521X7±114.90:⑦Applying nonlinear regression analysis to predict normal reference value of the vital capacity of presenile men,the model is:(?)=-1702.56+0.2226X1+0.1971X2-15.6680X3+48.4351X4-0.4567X5 +153.8167X6-3.1040X62+109.3521X7±350.03:⑧Applying multiply liner regression analysis to predict normal reference value of the vital capacity of middle-aged and old women,the model is:(?)=3105.831-20.085X6±230.427:⑨Applying nonlinear regression analysis to predict normal reference value of the vital capacity of old men,the model is:(?)=3184.086+171213.7967/X5±300.33Applying above models,geographical factors of 4383 observation points can be calculated to predict normal reference value of the vital capacity of the different age and the different gender groups of Chinese.By the method of geostatistical analysis module of GIS spatial analysis and Kriging interpolation,geographical distribution map of the normal reference value of the vital capacity is precisely interpolated.Therefore,if the value of geographical factors of some place in China is known,normal reference value of the vital capacity of the different age and the different gender groups of people can be estimated,and normal reference value oftbe vital capacity any place can be also directly obtained from geographical distribution map. |