矿区城市空气质量对呼吸系统发病率影响分析  

An Analysis on the Influence of Air Quality on Respiratory System Disease Incidence in Mining Areal City

作　　者：杨晶[1] 孙邦达 

机构地区：[1]辽宁工程技术大学矿业学院,阜新123000 [2]浙江工商大学统计与数学学院,杭州310018

出　　处：《上海环境科学》2015年第2期67-69,共3页Shanghai Environmental Sciences

基　　金：国家自然科学基金(编号:51204089)资助

摘　　要：收集我国主要矿区城市呼吸系统发病率数据,应用多元统计分析得到呼吸系统发病率与3因素的函数关系,并利用果蝇优化算法对以上函数关系进行优化,建立呼吸系统发病率预计模型（HP-B模型）,将HP-B模型的预计结果与矿区城市的实际监测数据进行对比,发现HP-B模型精度较高。Based on the collection of respiratory system disease incidence data in major mining areal cities in China, the incidence function has been obtained relating to three factors by applying multivariate statistical analysis. Drosophila optimisation algorithm was used to optimise the above function so as to establish an incidence prediction model （HP-B model）. It was found that predictions by the HP-B model were fairly precise comparing with the observed data at mining areal cities.

关 键 词：呼吸系统发病率 预测 HP-B模型 多元统计分析 果蝇优化算法 

分 类 号：O212.4[理学—概率论与数理统计]