摘要
本研究通过构建大气环境质量自动监测数据和气象台气象条件大数据平台,实现数据信息资源共享。同时,利用气象台MICAPS系统常规观测资料,筛选出重污染天气逐日逐时气象条件,分析气象条件与空气质量监测因子之间的多元相关性,从中寻找规律,开发出秦皇岛市重污染天气气象条件模型,建立重污染天气预测预报系统,从而实现AQI和重污染天气预报预警。
Data information resource sharing is realized by constructing automatic monitoring data of atmospheric environment quality and the meteorological platform meteorological condition big data platform. At the same time, using the conventional observation data of the meteorological station MICAPS system, the weather conditions of heavy polluted weather are sorted out day by day. By analyzing the multivariate correlation between meteorological conditions and air quality monitoring factors, we can find out the regularity, develop the meteorological conditions model of heavy pollution weather in Qinhuangdao City, and establish the forecast and forecast system of heavy pollution weather, so as to realize AQI and early warning of heavy pollution weather forecast.
作者
张丽艳
郭玲
Zhang Liyan;Guo Ling(Qinhuangdao Environmental Monitoring Center of Hebei Province,Qinhuangdao 066000,China)
出处
《中国资源综合利用》
2019年第5期154-156,共3页
China Resources Comprehensive Utilization
关键词
环境监测
大数据
气象条件
信息共享
预报预警
environmental monitoring
large data
meteorological conditions
information sharing
forecasting and early warning
