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<p>This study evaluates the real-world performance of an outdoor air purification tower specifically designed for localized PM2.5 abatement during smog crises in northern Thailand. The field experiment was conducted in April 2023 in Phayao Province, a region severely affected by biomass burning and chronic seasonal haze. Six operational scenarios (SC1–SC6) were tested over 24-h periods, varying fan speed and water injection to simulate different intensities of purification. A network of PM2.5 monitors was deployed radially around the tower, with co-located meteorological sensors capturing wind speed, direction, temperature, and humidity. Data analysis included time-series comparisons, interpolated spatial mapping, and pollution rose modeling. Results demonstrated consistent PM2.5 reductions within the 2-m near-field zone, with average efficacy ranging from 26 to 38% and PM2.5 removal rates between 2.1 and 7.4&#xa0;g/hr. The most effective configuration (SC2: 100% water, 70% fan) created clean-air zones extending up to 400&#xa0;m. Directional analyses revealed that wind had a strong influence on treated air dispersion, shaping the tower’s effective footprint. These findings provide valuable insights into the operational design, site selection, and performance optimization of air purification systems in haze-prone settings, contributing to cleaner air, improved public well-being, and sustainable urban resilience through the practical deployment of environmental technology.</p>

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Field-based evaluation of an air purification tower for PM2.5 abatement during a biomass burning episode

  • 期刊论文

  • 发表日期：

    2026年4月17日

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  • P. Vongruang,
  • N. Kieatkongmanee,
  • T. Chankong,
  • S. Pimonsree,
  • S. Chiablam

摘要

This study evaluates the real-world performance of an outdoor air purification tower specifically designed for localized PM2.5 abatement during smog crises in northern Thailand. The field experiment was conducted in April 2023 in Phayao Province, a region severely affected by biomass burning and chronic seasonal haze. Six operational scenarios (SC1–SC6) were tested over 24-h periods, varying fan speed and water injection to simulate different intensities of purification. A network of PM2.5 monitors was deployed radially around the tower, with co-located meteorological sensors capturing wind speed, direction, temperature, and humidity. Data analysis included time-series comparisons, interpolated spatial mapping, and pollution rose modeling. Results demonstrated consistent PM2.5 reductions within the 2-m near-field zone, with average efficacy ranging from 26 to 38% and PM2.5 removal rates between 2.1 and 7.4 g/hr. The most effective configuration (SC2: 100% water, 70% fan) created clean-air zones extending up to 400 m. Directional analyses revealed that wind had a strong influence on treated air dispersion, shaping the tower’s effective footprint. These findings provide valuable insights into the operational design, site selection, and performance optimization of air purification systems in haze-prone settings, contributing to cleaner air, improved public well-being, and sustainable urban resilience through the practical deployment of environmental technology.