本文選題：典型空氣污染物 + 慢性阻塞性肺炎��； 參考：《現(xiàn)代預(yù)防醫(yī)學(xué)》2015年18期

【摘要】：目的研究典型空氣污染物(SO2、NO2、CO、PM10、O3)與慢性阻塞性肺炎的相關(guān)性,為疾病預(yù)防和污染治理提供依據(jù)。方法依托于地理信息系統(tǒng)操作平臺,通過遙感影像反演結(jié)果與地面實測濃度的插值,得到研究區(qū)內(nèi)5種污染物濃度的分布趨勢;利用統(tǒng)計學(xué)原理,求平均、數(shù)理統(tǒng)計、建立回歸分析等,得到最適宜于研究兩者之間關(guān)系的模型;利用SPSS,分別以5種污染物月平均濃度為自變量,以每月的慢性阻塞性肺炎患者數(shù)量為因變量,進(jìn)行相關(guān)性分析、建立散點圖和函數(shù)模型,并比較各自參數(shù)。結(jié)果各污染物濃度分布與患者分布情況趨于一致:濃度高的區(qū)域,患者分布密集;SO2、NO2、PM10、CO、O3濃度與患者數(shù)量的相關(guān)性因子分別為0.681、0.576、0.755、0.611、0.519。結(jié)論空氣污染越嚴(yán)重,即污染物濃度越高,病患分布越為密集;PM10濃度與病患數(shù)量之間函數(shù)模型的相關(guān)性因子最大,兩者相關(guān)性最強。
[Abstract]:Objective to study the relationship between the typical air pollutant (so _ 2 / no _ 2) and chronic obstructive pneumonia (COPD) and to provide evidence for disease prevention and pollution control. Methods based on the operating platform of GIS, the distribution trend of five kinds of pollutants in the study area was obtained by interpolation of the inversion result of remote sensing image and the measured concentration on the ground, and the average and mathematical statistics were obtained by using the principle of statistics. Regression analysis was established to obtain the most suitable model for the study of the relationship between the two. Using SPSS, the monthly average concentrations of five pollutants were taken as independent variables and the monthly number of patients with chronic obstructive pneumonia as dependent variables. The scattered plot and function model are established and their parameters are compared. Results the concentration distribution of each pollutant tended to be consistent with that of the patients: in the areas with high concentration, the correlation factors between the concentration of COO _ 3 and the number of patients were 0.681n 0.576n0.7550.7550.110.6110.1919, respectively. Conclusion the more serious air pollution, that is, the higher the concentration of pollutants, the more the distribution of patients is the largest correlation factor between the concentration of PM10 and the number of patients, and the strongest correlation between the two.
【作者單位】： 山東師范大學(xué)地理與環(huán)境學(xué)院;山東大學(xué)齊魯醫(yī)院呼吸內(nèi)科;
【基金】：國家自然科學(xué)基金資助項目(41371395) 國家科技支撐計劃項目(2012BAB11B01)
【分類號】：R563.1

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