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基于灰色关联度的乌鲁木齐市PM_(2.5)与环境空气质量六要素关系的探讨 被引量:12

Relationships between PM_(2.5) and six elements for air quality in Urumqi based on Grey correlation
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摘要 依据乌鲁木齐市2014年~2016年3年间7个监测点的PM_(2.5)(空气动力学当量直径小于等于2.5μm)监测数据,进行PM_(2.5)时间变化特征分析。结果显示:乌鲁木齐近三年来PM_(2.5)浓度表现为上升趋势,对"十三五"期间以改善环境质量为核心的工作目标形成较大压力。PM_(2.5)季节变化特征:冬季浓度明显高于夏季,分析表明采暖燃料燃烧污染物的排放是冬季乌鲁木齐PM_(2.5)浓度升高的主要原因之一。运用灰色关联度模型对空气质量6要素(PM_(2.5)、SO_2、NO_2、CO、O_3、PM_(10))进行关联度计算,结果表明三年间月、旬对PM_(2.5)影响最大的要素都是CO浓度值。 According to the monitoring data of PM2.5( aerodynamic equivalent diameter less than or equal to 2.5μm) of 7 monitoring spots in Urumqi from 2014 to 2016,the characteristics of PM2.5 time variation were analyzed.The results showed that the PM2.5 concentration in nearly three years showed the upward trend,in order to improve the environmental quality as the core target form a larger pressure in " 13 th Five-Year Plan" period.For the seasonal variation characteristics of PM2.5,the concentration in winter was significantly higher than that in the summer.Analysis showed that one of the main reasons for higher winter PM2.5 concentrations in Urumqi was the pollutants emission during fuel combustion for heating.The Grey correlation model was used to calculate the correlative degree of 6 elements( PM2.5,SO2,NO2,CO,O3,and PM10) of air quality.The results showed that the most influential factors for PM2.5 was CO in three years.
作者 王鸥 何秉宇 WANG Ou;HE Bingyu(School of Resources and Environmental Science, Xinjiang University, Urumqi 830046, China;Key Laboratory of Intelligent Urban and Environ- mental Modeling, Xinjiang University, Urumqi 830046, China)
出处 《干旱区资源与环境》 CSSCI CSCD 北大核心 2018年第6期176-181,共6页 Journal of Arid Land Resources and Environment
基金 国家自然科学基金项目(51374182) 乌鲁木齐市环境综合整治规划项目(21162190)资助
关键词 灰色关联 PM2.5 CO 乌鲁木齐 Grey correlation PM2.5 CO Urumqi
作者简介 王鸥(1992-),女,汉族,河北邢台人,硕士研究生,主要从事区域污染控制与环境影响评价方面的研究。E—mail:875670129@qq.com;通讯作者:何秉宇(1961-),男,汉族,新疆乌鲁木齐人,副教授,硕士生导师,主要从事区域污染控制与环境影响评价方面的研究。E-mail:byhe718@163.com
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