基于云模型的PM_(2.5)污染程度评价  

Pollution Levels Assessment of PM_(2.5) Based on Cloud Models

作　　者：杨锦伟[1,2] 李建民[1] 王惠娟[2] 高明运 

机构地区：[1]平顶山学院数学与信息科学学院,河南平顶山467000 [2]武汉理工大学理学院,武汉430063

出　　处：《河南科学》2014年第8期1605-1608,共4页Henan Science

基　　金：河南省重点科技攻关项目(132102310126);平顶山学院统计学重点学科资助项目(2012002);平顶山学院中青年骨干教师培养资助项目(2012080)

摘　　要：空气污染问题是近期公众关注的焦点问题.考虑污染因子PM2.5污染程度的模糊性和随机性,采用武汉市130个以PM2.5为首要污染物的AQI数据,利用云模型建立了空气质量评价体系,并用于PM2.5污染程度评价.以PM2.5指数88为例,评价其属于良好等级的隶属度区间为[0.64,0.87],属于轻度污染等级的隶属度区间为[0.03,0.13],最终评价为良好等级,与国家标准一致,但信息表达更充分.结果表明:采用云模型进行空气污染程度评价,实现了空气质量分级评估随机性与定性语言表达模糊性的统一,更符合人类对事物的认知规律.云模型评价空气质量是国家评价标准的有益补充.Air pollution problems are the focus of recent public concern. Considering the fuzziness and randomness of PM2.5 pollution levels,we selected 130 AQI data with the primary pollutant PM2.5 in Wuhan,to establish air quality evaluation system based on cloud models,then used this system for PM2.5 pollution levels assessment. Taking PM2.5 index of 88 for example,it belongs to the good levels of membership interval[0.64,0.87],and belongs to slightly polluted levels of membership interval[0.03,0.13]. So the final evaluation is good grades,and consistent with national standards,and the information is more fully. The results show that：adopting cloud models for air pollution assessment,could unify the randomness of air quality classification assessment and the ambiguity of qualitative language,be more consistent with the law of human cognition of things. Cloud model evaluation results are a useful supplement to the national evaluation criteria.

关 键 词：空气质量评价 云模型 PM2.5 

分 类 号：X823[环境科学与工程—环境工程]