通过PMF模拟颗粒大小分布数据,在猪生产设施内归因PM来源
Pradeep Kumar1, Seyit Uguz2, Shalini Tiwari1
1Department of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, SD, 57007, USA.
The Science of the total environment
|February 10, 2026
概括
猪舍中的颗粒物 (PM) 是一个健康风险. 源归因建模确定动物料,沉积尘埃和便是生产室中PM的主要贡献者.
科学领域:
- 环境科学 环境科学
- 农业工程 农业工程
- 公共卫生 公共卫生
背景情况:
- 猪舍中的颗粒物 (PM) 对动物和人类构成健康风险.
- 了解PM的具体来源对于有效的空气质量管理至关重要.
研究的目的:
- 在猪生产环境中测量颗粒度和颗粒大小分布 (PSDs).
- 使用正矩阵因子化 (PMF) 建模来归因PM源.
- 为了评估一个低成本的传感器,用于PM源归因.
主要方法:
- 在夏季和冬季使用Grimm 11-D OPC在生产室和办公室测量PM度 (PM2.5,PM10,TSP) 和PSD.
- 应用PMF建模到PSD数据,用于来源归因.
- 评估了Alphasense OPC-N3传感器的性能.
主要成果:
- 冬季在生产室观察到更高的颗粒物度.
- 在冬季生产室中,PMF建模确定了动物料,沉积尘埃和便是TSP的主要贡献者.
- 通风和透对亚微米颗粒产生了显著的贡献.
结论:
- 基于PSD的PMF建模是动物农业中PM源归因的成本有效方法.
- 这些发现将有助于管理生猪生产环境中的空气质量.
- 低成本的传感器显示出类似应用的前景.
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