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作 者:李嘉仪 李小锋 Li Jiayi;Li Xiaofeng(Shaanxi Polytechnic Institute,Xianyang 712000,China;Chengdu JZFZ Architectural Design Co.,Ltd.Xi'an Branch,Xi'an 710054,China)
机构地区:[1]陕西工业职业技术学院土木工程学院,陕西咸阳712000 [2]成都基准方中建筑设计有限公司西安分公司,陕西西安710054
出 处:《环境科学与管理》2022年第9期132-136,共5页Environmental Science and Management
摘 要:因低空大气循环速度较快,受小区域气候因素影响较大,污染物扩散呈梯度分布特征,导致建筑施工场所周边低空环境大气污染物浓度测定误差偏大,故研究建筑施工场所周边低空环境大气污染物浓度测定方法。由梯度分布构建低空环境大气污染物初始模型,利用神经网络获得基础污染分布数据;计算获得不同层级大气污染物的分布数据,最后通过低空污染物多层浓度融合计算,提出离散等扰动因素,获得精准测定值。通过实验数据的对比分析结果得出,提出的低空环境大气污染物浓度测定方法,具有较高的测定精度,且整体适应性较好,满足实际应用的要求。Due to the rapid circulation of low-altitude atmosphere and the influence of small regional climate factors,the diffusion of pollutants presents a gradient distribution characteristic,which leads to a large error in the measurement of atmospheric pollutant concentration in the low-altitude environment around the construction site.Therefore,the measurement method of atmospheric pollutant concentration in the low-altitude environment around the construction site is studied.The initial model of air pollutants in low altitude environment was constructed by gradient distribution,and the basic pollution distribution data were obtained by neural network.The distribution data of air pollutants at different levels are obtained by calculation.Finally,the disturbance factors such as dispersion are proposed through the fusion calculation of multi-layer concentration of low-level pollutants to obtain accurate measurement values.Through the comparison and analysis of experimental data,the results show that the proposed method for the determination of atmospheric pollutant concentration in low altitude environment has high determination accuracy,and the overall adaptability is good,which meets the requirements of practical application.
分 类 号:X73[环境科学与工程—环境工程]
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