Effect of simulated rain and rain frequency on particulate matter re-accumulation in roadside climbers Parthenocissus quinquefolia
บทความในวารสาร
ผู้เขียน/บรรณาธิการ
กลุ่มสาขาการวิจัยเชิงกลยุทธ์
รายละเอียดสำหรับงานพิมพ์
รายชื่อผู้แต่ง: Setiawan G.D.; Przybysz A.; Treesubsuntorn C.; Popek R.
ผู้เผยแพร่: Elsevier
ปีที่เผยแพร่ (ค.ศ.): 2025
วารสาร: Environmental Pollution (0269-7491)
Volume number: 382
นอก: 0269-7491
eISSN: 1873-6424
ภาษา: English-Great Britain (EN-GB)
บทคัดย่อ
Simulated rainfall effectively removes particulate matter (PM) from plant surfaces and facilitates subsequent PM re-accumulation, offering potential for enhancing atmospheric PM mitigation. However, comprehensive studies on its efficacy remain limited. This study examined the impact of varying simulated rainfall frequencies on washable PM (RPM) removal efficiency and PM re-accumulation dynamics in Parthenocissus quinquefolia cultivated on a green screen. PM was categorized into three fractions—RPM, surface PM (SPM), and wax PM (WPM)—and quantified using filter-based assessments. Results indicated that daily simulated rainfall (ED) consistently removed RPM across all PM fractions (total RPM, RPM10-100, PM2.5-10, and PM0.2-2.5) throughout the study. While twelve-day (12D) numerically led to the most RPM removal, its efficiency was comparable to single ED and six-day (6D) frequencies, with no significant statistical difference. Cumulative RPM washed off in the ED treatment was significantly higher than in the 12D treatment for all PM fractions (3.0–3.3 times greater), with no adverse effects on plant physiology. Notably, no consistent patterns of RPM re-accumulation were observed, and simulated rainfall had minimal influence on daily SPM and WPM re-accumulation. Extended experimental durations are recommended to validate these findings. This study highlights the simplicity and scalability of frequent simulated rainfall as an effective strategy for accelerating PM phytoremediation in urban environments with persistent air pollution, contributing to sustainable air quality management. © 2025 Elsevier Ltd
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