{"title":"热带植物和智能绿墙对封闭室内细颗粒物(PM2.5和PM0.3-1.1)的减排效果","authors":"Janjira Muenrew , Sarayut Rakarcha , Anchalee nuammee , Prateep Panyadee , Wittaya Tala , Nuttipon Yabueng , Somporn Chantara","doi":"10.1016/j.eti.2025.104268","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the effectiveness of plant species in reducing ambient fine particulate matter (PM). Among 10 tested species in a closed-system chamber, <em>Spathiphyllum cannifolium</em> achieved the highest PM<sub>2.5</sub> reduction (26 %), followed by <em>Nephrolepis cordifolia</em> (22 %) and <em>Tabernaemontana divaricata</em> (17 %). The superior performance of <em>S. cannifolium</em> is likely attributed to its morphological features, including a grooved leaf surface, large leaf area, and stomata on both leaf sides. A smart green wall combining these 10 plant species was evaluated for its efficiency in reducing PM<sub>2.5</sub> and size-fractionated PMs (PM<sub>0.3–9.0</sub>) in a 64-m³ chamber filled with particulate matter generated from forest leaf burning. Initial PM<sub>2.5</sub> concentrations in the chamber were approximately 300 µg/m³ . A room with smart green walls and an empty room (control) were the two situations investigated. The temperature ranged from 26.5°C to 28.5°C, relative humidity from 39.5 % to 40.5 %, and light intensity ranged from 2620 to 2650 lux. The results showed that, PM<sub>2.5</sub> concentrations in empty rooms or controlled condition without smart green walls were reduced from 300 µg/m³ to 121 µg/m³ within one hour. The smart green wall reduced PM<sub>2.5</sub> from 300 µg/m³ to 89 µg/m³ within one hour. In the initial stage of dry leaf burning, the aerosol concentration peaked at nearly 200,000 particles/cm³ , with fine particles (PM<sub>0.3–0.65</sub>) accounting for the majority. The Smart Green Wall reduced fine particles by 39–41 % of the total count. While this suggests some potential for PM reduction in micro-scale urban settings, real-world effectiveness would depend on environmental conditions.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"39 ","pages":"Article 104268"},"PeriodicalIF":6.7000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficiency of tropical plants and smart green wall on reduction of fine particulate matters (PM2.5 and PM0.3–1.1) in a closed-system chamber\",\"authors\":\"Janjira Muenrew , Sarayut Rakarcha , Anchalee nuammee , Prateep Panyadee , Wittaya Tala , Nuttipon Yabueng , Somporn Chantara\",\"doi\":\"10.1016/j.eti.2025.104268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study investigates the effectiveness of plant species in reducing ambient fine particulate matter (PM). Among 10 tested species in a closed-system chamber, <em>Spathiphyllum cannifolium</em> achieved the highest PM<sub>2.5</sub> reduction (26 %), followed by <em>Nephrolepis cordifolia</em> (22 %) and <em>Tabernaemontana divaricata</em> (17 %). The superior performance of <em>S. cannifolium</em> is likely attributed to its morphological features, including a grooved leaf surface, large leaf area, and stomata on both leaf sides. A smart green wall combining these 10 plant species was evaluated for its efficiency in reducing PM<sub>2.5</sub> and size-fractionated PMs (PM<sub>0.3–9.0</sub>) in a 64-m³ chamber filled with particulate matter generated from forest leaf burning. Initial PM<sub>2.5</sub> concentrations in the chamber were approximately 300 µg/m³ . A room with smart green walls and an empty room (control) were the two situations investigated. The temperature ranged from 26.5°C to 28.5°C, relative humidity from 39.5 % to 40.5 %, and light intensity ranged from 2620 to 2650 lux. The results showed that, PM<sub>2.5</sub> concentrations in empty rooms or controlled condition without smart green walls were reduced from 300 µg/m³ to 121 µg/m³ within one hour. The smart green wall reduced PM<sub>2.5</sub> from 300 µg/m³ to 89 µg/m³ within one hour. In the initial stage of dry leaf burning, the aerosol concentration peaked at nearly 200,000 particles/cm³ , with fine particles (PM<sub>0.3–0.65</sub>) accounting for the majority. The Smart Green Wall reduced fine particles by 39–41 % of the total count. While this suggests some potential for PM reduction in micro-scale urban settings, real-world effectiveness would depend on environmental conditions.</div></div>\",\"PeriodicalId\":11725,\"journal\":{\"name\":\"Environmental Technology & Innovation\",\"volume\":\"39 \",\"pages\":\"Article 104268\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2025-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Technology & Innovation\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352186425002548\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Technology & Innovation","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352186425002548","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Efficiency of tropical plants and smart green wall on reduction of fine particulate matters (PM2.5 and PM0.3–1.1) in a closed-system chamber
This study investigates the effectiveness of plant species in reducing ambient fine particulate matter (PM). Among 10 tested species in a closed-system chamber, Spathiphyllum cannifolium achieved the highest PM2.5 reduction (26 %), followed by Nephrolepis cordifolia (22 %) and Tabernaemontana divaricata (17 %). The superior performance of S. cannifolium is likely attributed to its morphological features, including a grooved leaf surface, large leaf area, and stomata on both leaf sides. A smart green wall combining these 10 plant species was evaluated for its efficiency in reducing PM2.5 and size-fractionated PMs (PM0.3–9.0) in a 64-m³ chamber filled with particulate matter generated from forest leaf burning. Initial PM2.5 concentrations in the chamber were approximately 300 µg/m³ . A room with smart green walls and an empty room (control) were the two situations investigated. The temperature ranged from 26.5°C to 28.5°C, relative humidity from 39.5 % to 40.5 %, and light intensity ranged from 2620 to 2650 lux. The results showed that, PM2.5 concentrations in empty rooms or controlled condition without smart green walls were reduced from 300 µg/m³ to 121 µg/m³ within one hour. The smart green wall reduced PM2.5 from 300 µg/m³ to 89 µg/m³ within one hour. In the initial stage of dry leaf burning, the aerosol concentration peaked at nearly 200,000 particles/cm³ , with fine particles (PM0.3–0.65) accounting for the majority. The Smart Green Wall reduced fine particles by 39–41 % of the total count. While this suggests some potential for PM reduction in micro-scale urban settings, real-world effectiveness would depend on environmental conditions.
期刊介绍:
Environmental Technology & Innovation adopts a challenge-oriented approach to solutions by integrating natural sciences to promote a sustainable future. The journal aims to foster the creation and development of innovative products, technologies, and ideas that enhance the environment, with impacts across soil, air, water, and food in rural and urban areas.
As a platform for disseminating scientific evidence for environmental protection and sustainable development, the journal emphasizes fundamental science, methodologies, tools, techniques, and policy considerations. It emphasizes the importance of science and technology in environmental benefits, including smarter, cleaner technologies for environmental protection, more efficient resource processing methods, and the evidence supporting their effectiveness.