摘要
采用模糊综合评价的方法,选取6项常见的大气污染物的基本项目SO_(2),NO_(2),CO,O_(3),PM_(10)和PM_(2.5)作为评价因素集合的构成元素,通过建立污染物的模糊关系矩阵和权重集,评价近五年石家庄市的环境空气质量.评价结果表明,近五年石家庄市空气环境污染源主要是O_(3),PM_(10)和PM_(2.5),平均浓度均大于二级空气质量标准;O_(3)的占比呈逐年上升的趋势;空气质量的综合情况呈现逐年变好的趋势.
Fuzzy comprehensive model is applied for evaluation of air pollutants with SO_(2),NO_(2),CO,O_(3),PM_(10)and PM_(2.5)where elements of factors are set.The ambient air quality of Shijiazhuang city is evaluated over past five years by establishing a fuzzy relationship matrix.Results show that the main air pollutants are O_(3),PM_(10)and PM_(2.5),and average concentration is greater than the secondary air standard.The weight of O_(3)is increasing yearly.So,attention should be paid to O_(3),and its precursor VOCs.Likewise,it shows a trend of getting better year by year.
作者
陈颂
CHEN Song(School of Architecture,Zhangzhou Institute of Technology,Zhangzhou,Fujian 363000,China)
出处
《石家庄职业技术学院学报》
2024年第2期21-25,共5页
Journal of Shijiazhuang College of Applied Technology
基金
漳州职业技术学院校级课题(ZZY2021B087)。
关键词
石家庄
环境空气质量
模糊综合评价法
污染物
隶属度函数
Shijiazhuang
ambient air quality
fuzzy comprehensive evaluation method
pollutant
membership function
