Dynamic analysis of retention PM2.5 by plant leaves in rainfall weather conditions of six tree species. Issue 8 (17th April 2020)

• Record Type: Journal Article
• Authors: Luo, Jia; Niu, Yandong; Zhang, Yi; Zhang, Min; Tian, Yuxin; Zhou, Xiaoling
• Is Part Of: Energy sources. Volume 42:Issue 8(2020)
• Page Start: 1014
• Page End: 1025
• Publication Date: 2020-04-17
• Subjects: Rainfall -- different tree species -- the PM2.5 adsorption capacity -- dynamic change; Natural resources -- Periodicals; Energy consumption -- Periodicals; Energy consumption -- Climatic factors -- Periodicals; Energy conversion -- Periodicals; Energy conversion -- Environment aspects -- Periodicals; Power (Mechanics) -- Periodicals; 333.7905
• DOI: 10.1080/15567036.2019.1602212
• Languages: English
• ISSNs: 1556-7036

Abstract

ABSTRACT: With six kinds of plants in Shenyang as the research object, we selected five rainfalls and applied an aerosol generator to conduct a dynamic observation retention of PM2.5 by plant leaves; the resultant research explores the effect retention of PM2.5 by plant leaves during rainfall. The results show that the adsorption capacity of PM2.5 per unit of leaf area can effectively remove different tree species by rainfall, and removals were between 0.04 and 0.23 μg·cm −2 . The removal rate was 24.02–46.15%, and the PM2.5 capacity of broad leaves was easier to be removed; the removal rate was greater for broadleaf trees (37.69%) than for conifers (27.76%). This was positively related to rainfall, and PM2.5 removal amount of plant leaves that was three times the curve model between rainfall and removal volume of PM2.5 per unit leaf area (R 2 ＞ 0.62). Each tree species of PM2.5 adsorption quantity per unit of leaf area was rapidly increased on the second day after a rainfall, with per unit leaf area of PM2.5 adsorption capacity restored to 6.07–43.92% on the fourth day after rainfall. This was due to the fact that the PM2.5 content of the plant leaves was washed by the rain, and it was approximately 16 days before it once again reached saturation capacity. The increased speed and multiples of the capacity of PM2.5 content that was cleaned by rain were larger for broadleaf than for conifer, and this was related to the atmospheric PM2.5 concentration and different species per unit of leaf area of PM2.5 adsorption quantity, and it was inversely correlated with PM2.5 removal capacity. The research results are helpful to reveal the mechanism and process of leaf retention of atmospheric particulate matter and can provide a scientific basis for the quantitative evaluation of leaf retention dust.