基于模糊数学的葫芦岛市空气质量评价
首发时间:2020-01-14
摘要:环境问题已经成为大家讨论的热点问题之一,而空气质量间接的反应了环境质量。为研究污染物对空气质量的影响,采用了模糊数学的方法对葫芦岛市的空气质量进行综合评价,选取二氧化硫,二氧化氮,总悬浮颗粒物,可吸入颗粒物作为评价因子,参照我国环境空气质量的等级标准,通过建立各因子的隶属函数和权重集,计算出对应的权重分配系数和隶属度,分别对葫芦岛市2014年、2016年、2018年污染物的年平均浓度进行模糊综合评价,得到的评价结果均为二级水平,其中影响较大的污染物为总悬浮颗粒物和可吸入颗粒物。评价结果客观的反映了葫芦岛市的空气质量情况。
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Air Quality Evaluation of Huludao City Based on Fuzzy Mathematics
Abstract:Environmental issues have become one of the hot issues discussed by everyone, and air quality indirectly reflects environmental quality. In order to study the influence of pollutants on air quality, the fuzzy mathematics method is adopted to comprehensively evaluate the air quality of Huludao City. Sulfur dioxide, nitrogen dioxide, total suspended particles and inhalable particles are selected as evaluation factors. Referring to the grade standard of environmental air quality in China, the corresponding weight distribution coefficient and membership degree are calculated by establishing membership functions and weight sets of each factor. The annual average concentrations of pollutants in Huludao City in 2014, 2016 and 2018 were evaluated by fuzzy comprehensive evaluation respectively, and the evaluation results were of secondary level, with the major pollutants being total suspended particles and inhalable particles. The evaluation results objectively reflect the air quality in Huludao City.
Keywords: comprehensive evaluation membership function fuzzy mathematics air quality
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