摘要
当前监测区域环境空气质量时,主要采用卫星遥感估算的方式获取大气污染物浓度数据,估算结果会受到区域环境因素的干扰,导致最终监测结果均方根误差较大。因此,提出基于大气网格化监测系统的区域环境空气质量监测方法。确定自动监测微站最优选址点,通过大气网格化监测系统融合压缩感知技术,精准采集区域环境空气污染数据。依托于模态分解函数和门控循环单元,对实时采集数据进行校准,再计算出空气质量综合指数,作为区域环境空气质量监测结果。实验结果表明:所提方法监测结果的均方根误差为0.08,更加准确地描述区域环境空气质量。
When monitoring regional ambient air quality,air pollutant concentration data are mainly obtained by satellite remote sensing estimation.The estimation results will be interfered by regional environmental factors,resulting in a large root mean square error of the final monitoring results.Therefore,a regional environmental air quality monitoring method based on atmospheric grid monitoring system is proposed.The optimal location of automatic monitoring microstation was determined,and the atmospheric gridding monitoring system was integrated with compressed sensing technology to accurately collect regional environmental air pollution data.Based on the modal decomposition function and gated circulation unit,the real-time data collected were calibrated,and then the air quality composite index was calculated as the regional environmental air quality monitoring results.The experimental results show that the root-mean-square error of the monitoring results of the proposed method is 0.08,which can more accurately describe the regional ambient air quality.
作者
董尚荣杰
宋兆丰
Dong Shangrongjie;Song Zhaofeng(Sheyang County Meteorological Bureau,Yancheng 224300,China)
出处
《环境科学与管理》
CAS
2023年第8期105-110,共6页
Environmental Science and Management
关键词
大气网格化监测系统
选址
空气质量
监测
数据校准
atmospheric grid monitoring system
site selection
air quality
monitor
data calibration
