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Sci Total Environ


Title:Benchmark of plant-based VOCs control effect for indoor air quality: Green wall case in smith campus at Harvard University
Author(s):Shen X; Sun Q; Mosey G; Ma J; Wang L; Ge M;
Address:"University of Nevada, Las Vegas, 4505 S Maryland Pkwy, Las Vegas, NV 89154, the, United States. Electronic address: xiwei.shen@unlv.edu. Appalachian State University, 287 Rivers St., Boone, NC 28608, the, United States. Electronic address: sunq@appstate.edu. University of Nevada, Las Vegas, 4505 S Maryland Pkwy, Las Vegas, NV 89154, the, United States. College of Material Science and Engineering, Northeast Forestry University, 26 Hexing Road, Harbin, China. Electronic address: majunhong@nefu.edu.cn. School of Design, Shanghai Jiao Tong University, Shanghai 200240, China. Electronic address: wwlling@sjtu.edu.cn. Virginia Polytechnic Institute and State University, 290 College Ave. Blacksburg, VA 2406, United States. Electronic address: gmengting@vt.edu"
Journal Title:Sci Total Environ
Year:2023
Volume:20230812
Issue:
Page Number:166269 -
DOI: 10.1016/j.scitotenv.2023.166269
ISSN/ISBN:1879-1026 (Electronic) 0048-9697 (Linking)
Abstract:"The emission of volatile organic compounds (VOCs) from interior materials can significantly impact people's health and daily activities, necessitating effective management. In the construction of the interior built environment, plants serve as a suitable means to enhance air quality. They not only function as ecological living materials for air purification and VOCs removal but are also valued for their aesthetic appeal. However, often the emphasis in designing green infrastructure is placed more on the aesthetics of planting design rather than considering plants' ecological properties. This research examines the ability of 12 plant species used in the interior green wall design at Harvard University's Smith Center as a case study to decompose and absorb VOCs through experimental studies. By integrating ecological properties and key factors such as spatial and budget constraints into the design process, this research explores the potential of using an algorithmic model to select plant species capable of reducing interior VOC pollution in green wall design. The significance of this study lies in its contribution to indoor environmental health and environmental management practices through providing a potential plant selection model and suggesting a relevant workflow for interior planting design with the goal of controlling VOC emissions. By leveraging the knowledge gained from experiments on the VOC removal abilities of selected plant species, this study offers a valuable resource for practitioners seeking to create innovative indoor air cleaning and decontamination technologies"
Keywords:Air quality Built environment Environmental health Green wall Interior planting design Volatile Organic Compounds (VOCs);
Notes:"PublisherShen, Xiwei Sun, Qingqing Mosey, Grant Ma, Junhong Wang, Ling Ge, Mengting eng Netherlands 2023/08/15 Sci Total Environ. 2023 Aug 12:166269. doi: 10.1016/j.scitotenv.2023.166269"

 
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