建筑翻新施工中扬尘污染控制方法研究

Research on Dust Pollution Control in Building Renovation Construction

由于传统的扬尘污染控制方法受到施工环境的影响,控制效果不稳定。提出建筑翻新施工中扬尘污染控制方法研究。采用贝塞尔公式筛选出异常数据并剔除,将监测数据输入到建立的扬尘通量预测模型中,在BP神经网络的支持下,输出施工现场扬尘通量。根据每个子区域的扬尘排放量大小和大气环境容量,确定污染源和污染区域,实验结果表明在不同的施工阶段,设计的扬尘污染控制方法能够有效控制TSP日均质量浓度在标准范围内,潜在风险低,适用性得到了提升。

The effect of traditional dust pollution control methods are not stable due to different construction environment.This study takes the Bessel formula to screen out and eliminate the abnormal data,and then input the monitoring data into the established dust flux prediction model.The output of dust flux on the construction site was obtained with the support of BP neural network.According to the dust emission and atmospheric environmental capacity of each sub area,the pollution source and pollution area are determined.The experimental results show that the designed dust pollution control method can effectively control the daily average mass concentration of TSP within the standard range in different construction stages,with low potential risk and improved applicability.