Particle Size Distribution Characteristics of Blasting Dust in Excavation Yard of Yangfanggou Hydropower Station

Jin Lianghai

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Particle Size Distribution Characteristics of Blasting Dust in Excavation Yard of Yangfanggou Hydropower Station

更新时间：2025-09-25

- Particle Size Distribution Characteristics of Blasting Dust in Excavation Yard of Yangfanggou Hydropower Station
- Issue 6, Pages: 1037-1045(2020)
- 作者机构：
  
  三峡大学水利与环境学院,湖北,宜昌,443002
- 作者简介：
- 基金信息：
- DOI：
  CLC： X964
- Published：2020
- 稿件说明：
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晋良海,吴志鹏,陈述,郑霞忠,王玉龙,陈雁高.场开挖爆破粉尘粒度分布特征杨房沟水电站料∗[J].防灾减灾工程学报,2020,(6):1037-1045

Jin Lianghai. Particle Size Distribution Characteristics of Blasting Dust in Excavation Yard of Yangfanggou Hydropower Station[J]. 2020, (6): 1037-1045.
晋良海,吴志鹏,陈述,郑霞忠,王玉龙,陈雁高.场开挖爆破粉尘粒度分布特征杨房沟水电站料∗[J].防灾减灾工程学报,2020,(6):1037-1045 DOI：

Jin Lianghai. Particle Size Distribution Characteristics of Blasting Dust in Excavation Yard of Yangfanggou Hydropower Station[J]. 2020, (6): 1037-1045. DOI：

摘要

通过分析杨房沟水电站料场开挖爆破粉尘的粒度分布特征，为改进爆破降尘工艺提供粉尘粒度学依据。在料场爆破区、工作平盘、出入沟、最终边帮等处采集粉尘样品，采用激光粒度分布仪测试粉尘样品的分散度；以粉尘粒度分布数据拟合分布函数，表明爆破粉尘的粒度分布函数呈现对数正态分布特征；与经典的罗森·拉姆勒(Rosin?Rammler)分布函数模型对比分析表明，对数正态分布函数用于描述爆破粉尘的粒度分布更加准确。基于对数正态分布函数模型，厘定爆破粉尘粒度分布参数，分析TSP、PM10、PM5、PM2.5及PM1粉尘占全尘的比例，定量表达爆破粉尘粒度分布特征。结果表明：杨房沟水电站料场爆破粉尘具有显著的对数正态分布特征；离爆破中心距离越远，粒度分布范围越窄，对人体有害粉尘占比越大；建议采用爆破粉尘捕捉吸附技术、掺和湿润性抑尘剂的水雾喷洒等降尘措施。

Abstract

To improve the technology for reducing blast dust， the particle size distribution characteristics of blasting dust during the excavation of Yangfanggou Hydropower Station were studied by employing dust particle size theory. Dust samples were collected from the blasting area of the material yard， the working flat plate， the inlet， the outlet trenches， and the final pit slope. The dispersion of the dust samples was tested using a laser particle size distribution analyzer. Then， the distribution function was fitted based on the dust particle size distribution data. It indicates that the particle size distribution function of the blasting dust exhibits lognormal distribution characteristics. A comparative analysis with the classical Rosin-Rammler distribution function model shows that the lognormal distribution function is more accurate in describing the particle size distribution of blasting dust. Particle size distribution parameters of the blasting dust were first determined based on the lognormal distribution model. Then， the proportions of TSP， PM10， PM5， PM2.5 and PM1 in total dust were analyzed. Finally， the particle size distribution characteristics of the blasting dust were quantitatively expressed. The conclusion shows that the blasting dust in the material yard of Yangfanggou Hydropower Station has significant lognormal distribution characteristics. The particle size distribution range decreases and the harmful proportion， which is unfavorable to the human body，increases with the distance to the blasting center. It is recommended that blasting dust capture adsorption technology and water mist mixed with moisturizing dust suppressant be used to reduce dust.

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Particle Size Distribution Characteristics of Blasting Dust in Excavation Yard of Yangfanggou Hydropower Station

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