Using BP neural network to simulate the process of construction fugitive dust, and get quantitative model under certain constraints.
利用BP神经网络，对施工扬尘过程进行模拟，得出一定约束条件下的扬尘量化模型。
The main factors affecting the construction fugitive dust are: dust moisture, air temperature, air humidity and construction strength.
影响施工扬尘的主要因素为：粉尘含水量、空气温度、空气湿度和施工强度。
Construction fugitive dust showed great impact on the ambient PM10 level in Guiyang, and contributed 12% to the annual mean concentration of PM10 over the urban area.
建筑扬尘对贵阳市区较大范围内的PM 10浓度水平均有影响，对整个城区PM 10的年均浓度贡献接近12%。
Construction fugitive dust showed great impact on the ambient PM10 level in Guiyang, and contributed 12% to the annual mean concentration of PM10 over the urban area.
建筑扬尘对贵阳市区较大范围内的PM 10浓度水平均有影响，对整个城区PM 10的年均浓度贡献接近12%。
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