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机构地区:[1]航天科工智慧产业发展有限公司,北京100854 [2]北京市西城区规划管理信息中心,北京100035
出 处:《绿色科技》2018年第4期66-70,共5页Journal of Green Science and Technology
基 金:历史文化保护区智能监测与管理系统研究与示范(编号:Z161100001116018)
摘 要:为了实现对白塔寺历史文化区的精细化管理,在该区域内部署了60套CityGrid一体化传感器进行实时监测,选取2017年11月份二氧化硫、二氧化氮、一氧化碳、PM2.5、PM10和臭氧的监测数据作为研究对象,通过与北京监测站——西城官园的监测数据对比发现,两地的各个指标变化趋势大体一致,说明传感器满足监测的精度要求。通过线性插值法和主成分分析分别构造空气质量指数和空气质量综合指数,发现两者的相关系数达到0.831,在一定程度上都能反映白塔寺街区的空气质量状况。与官园监测站的空气质量指数对比发现空气质量综合指数和官园空气质量指数的相关性更是高达0.883,特别是在11月2日、7日和22日指数大幅度下降时,空气质量综合指数和官园空气质量指数更加吻合。综上可知主成分分析比线性插值法更适合于白塔寺街区的空气质量研究,并建立新的评价等级,以切实反映白塔寺街区的空气状况。In order to achieve the fine management of the White Pagoda Temple Historic block, the sixty sets of City- Grid integrated sensors are deployed in this area. The monitoring data of sulfur dioxide, nitrous oxide, carbon mon- oxide, PM25, PMI0 and ozone were studied in November 2017. Compared with the Beijing monitoring station-- Guanyuan, it was found that the changing trend of each index of both was consistent, indicating that the CityGrid sensors meet the precision requirements of the monitoring. Next, the air quality index and air quality comprehensive index were constructed respectively by linear interpolation method and principal component analysis, and Pearson correlation coefficient of them was 0.831, which means both of them can reflect the air quality of the White Pagoda Temple block to a certain extent. Compared with the air quality index of the Guanyuan monitoring station, the correlation coefficient between air quality comprehensive index and Guanyuan's was 0.883, which is higher than air quality index. In addition, the air quality comprehensive index was more consistent with the air quality index of Guanyuan in terms of decline on Nov.2, Nov.7 and Nov.22. In conclusion, the principal component analysis was more suitable for the air quality evaluation of the White Pagoda Temple block than the linear interpolation method. At last, the new evaluation level was formulated to reflect the air condition of the White Pagoda Temple block.
关 键 词:空气质量 历史文化保护区 线性插值法 主成分分析 评价等级
分 类 号:X820.2[环境科学与工程—环境工程]
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