TY -的A2 -陈,慧华盟——刘魏盟——黄,晓惠盟——陈,华鹏盟——汉Luyao PY - 2022 DA - 2022/07/07 TI -分析和模拟预测施工粉尘的排放特征的多个污染源SP - 7349001六世- 2022 AB -在建筑工地扬尘污染是一种无形的危害,往往忽略了作为一个麻烦。管理和工程控制方法主要是用于缓解。控制灰尘,dust-generating活动和他们的大小需要建立。虽然研究人员全面研究了施工粉尘排放,粉尘浓度预测基于工作阶段和气候条件仍然缺乏。克服上述知识差距,本文选定两个建设阶段的项目监控尘埃一代使用HXF-35粉尘采样器。根据收集到的数据,粉尘排放这两个阶段的特点进行了研究,和粉尘排放特征下多个污染源进行了分析。结果的基础上,建立BP神经网络模型进行模拟不同工作区域的粉尘排放浓度和预测在不同条件下建筑粉尘浓度。除了几个,大部分的工作区域监控超过容许TSP浓度的上限规定相关标准。此外,工作区域的粉尘排放差异明显。BP神经网络的结果验证了粉尘浓度预测模型是可行的,可用于预测粉尘浓度变化在不同工作面临不同气候条件下,为污染控制提供科学依据。 This study provides several practical solutions where the prediction of dust concentrations at designated work areas will allow construction companies early warning to implement mitigation measures before it becomes a serious health hazard. In addition, it provides an opportunity to re-evaluate those hazardous work in the light of these revelations. The outcome of this study is both original and useful for both construction companies and regulatory agencies. It can better predict the concentration of construction dust in different operating areas and different weather conditions and provide a guide for the prevention and control of construction dust. SN - 1687-5265 UR - https://doi.org/10.1155/2022/7349001 DO - 10.1155/2022/7349001 JF - Computational Intelligence and Neuroscience PB - Hindawi KW - ER -