典型废玻璃回收厂区空气颗粒物及噪声分布特征研究

以某典型废玻璃回收厂区作为研究对象, 监测和分析了车间及厂区内部的噪声强度、空气颗粒物(PM_2.5、PM₁₀) 浓度等环境指标, 点位布设涵盖了车间入口、人工分拣、物料筛分、破碎、干法清洗等关键工艺环节; 其次, 解析了空气颗粒物的组分及形貌特征, 并对其在厂区及车间内部的时空分布特征进行了研究; 此外, 利用噪声控制模型模拟并分析了隔声罩对噪声的控制作用。结果表明, 生产车间中工作态的空气颗粒物浓度显著高于非工作态, 其中干法清洗区浓度最高, 其PM_2.5 浓度为3.725 mg/m³, PM₁₀浓度为4.055 mg/m³; 噪声监测结果显示生产车间内噪声强度较高, 达到99.5 dB, 而引入隔声罩后噪声强度可降至67 dB, 结果表明, 隔声罩可有效控制频率为125~1 000 Hz 的噪声。该研究可为废玻璃的绿色、高效回收处置提供理论基础和实践经验。

Study on Distribution Characteristics of Air Particulate Matter and Noise in TypicalWaste Glass Recovery Plant

Taking a typical waste glass recycling plant as the research object, environmental indicators such as noise intensity and air particulate matter (PM_2.5, PM₁₀) concentration in the workshop and inside the plant were monitored and analyzed. The point layout covered the workshop entrance, manual sorting, materials screening, crushing, dry cleaning and other key process links. Secondly, the composition and morphological characteristics of air particles were analyzed, and their spatial and temporal distribution characteristics in the factory area and workshop were studied. In addition, the noise control model was used to simulate and the control effect of sound insulation cover on noise was analyzed. The results show that the concentration of air particulate matter in the working state in the production workshop is significantly higher than that in the non-working state, among which the dry cleaning area has the highest concentration, with a PM_2.5 concentration of 3.725 mg/m³ and a PM₁₀ concentration of 4.055 mg/m³. The noise monitoring results show that the noise intensity in the production workshop is high, up to 99.5 dB, while the noise intensity can be reduced to 67 dB after the introduction of the sound insulation cover. The results show that the sound insulation cover can effectively control the noise with a frequency of 125~1 000 Hz. This research can provide theoretical basis and practical experience for green and efficient recycling and disposal of waste glass.