Mapping Source-Specific Air Pollution Exposures Using Positive Matrix Factorization Applied to Multipollutant Mobile Monitoring in Seattle, WA.

• Tác giả: Elena Austin, Magali Blanco, Timothy Larson, Ningrui Liu, Rajni Oshan, Edmund Seto, Lianne Sheppard
• Ngôn ngữ: eng
• Ký hiệu phân loại: 628.53 Air pollution
• Thông tin xuất bản: United States : Environmental science & technology , 2025
• Bộ sưu tập: NCBI
• ID: 680069

Tóm tắt

Mobile monitoring strategies are increasingly used to provide fine spatial estimates of multiple air pollutant concentrations. This study demonstrates a novel approach using positive matrix factorization (PMF) applied to multipollutant mobile monitoring data to assess source-specific air pollution exposures and to estimate associated emission factors. Data were collected from one-year mobile monitoring, with an average of 26 repeated measures of size-resolved particle number counts (PNC), PM