摘要
为解决目前国内外PM2.5监测仪器价格昂贵,运行成本高,单点负责区域大,监测点少的问题,提出以国家监测网络为基础,以低成本、高精度为特点的PM2.5辅助监测方法。系统采用DSM501A作为PM2.5浓度采集传感器,完成粒子数量浓度到质量浓度的转换,通过在一定区域内布置监测终端,并借助于GPRS网络和参数曲面构建方法,建立了一定区域内PM2.5质量浓度网络图,填补了国家监测点间的监测盲区,并利用高斯消元法建立了从历史数据到未来浓度的预测算法。实验结果表明:实测数据与国家监测点数据基本一致,具有广阔的应用前景。
To solve the problems of high equipment cost,expensive operational cost,large monitoring region and less observation points for the PM2. 5monitors both at home and abroad,a low-cost and high-precision PM2. 5assistant monitoring method was proposed based on the national monitoring network. The system converts from particle number concentration to mass concentration by using DSM501 A as acquiring PM2. 5concentration sensor. Through deploying concentration sensors in monitor region,a PM2. 5mass concentration network map was constructed by GPRS network and construction of parametric surface. The study fills the blindness between existing national monitoring points. The forecast algorithm is established by Gaussian elimination algorithm and historical data. The experimental result showed that the measured data agreed basically with those of the national monitoring points. The system would be applied widely in the future.
出处
《环境工程》
CAS
CSCD
北大核心
2015年第5期140-143,共4页
Environmental Engineering
基金
国家自然科学基金(61303251)
国家科技重大专项(2013ZX03002001-004)
河北省科技厅自筹经费计划项目(13270134)
河北省高等学校青年拔尖人才计划项目(BJ201414)
