Abstract
Fugitive dust has been recognized as an important contributor to air pollution, and artificial porous fence is one of the most effective management strategies to reduce fugitive dust in open areas. To improve the shelter effects and efficiency of Particulate Matter (PM) reduction of traditional fences, this study proposed five bionic fences and their capability was evaluated through wind tunnel tests. The results indicated that all of bionic fences presented better efficiency in reducing wind speed and PM concentrations compared with traditional fences, and they were more efficient in capturing PM10. Among the bionic fences, the non-woven cloth material with four-leave opening presented the best capability both in wind speed and PM reduction. The proposed bionic fences may be further developed and studied for future application in capturing fine PM and adapting to the wind.
Similar content being viewed by others
References
Huang R J, Zhang Y L, Bozzetti C, Ho K F, Cao J J, Han Y M, Daellenbach K R, Slowik J G, Platt S M, Canonaco F, Zotter P, Wolf R, Pieber S M, Bruns E A, Crippa M, Ciarelli G, Piazzalunga A, Schwikowski M, Abbaszade G, Schnelle-Kreis J, Zimmermann R, An Z S, Szidat S, Baltensperger U, El Haddad I, Prévôt A S H. High secondary aerosol contribution to particulate pollution during haze events in China. Nature, 2014, 514, 218–222.
Kim K, Kabir E, Kabir S. A review on the human health impact of airborne particulate matter. Environment International, 2015, 74, 136–143.
Etchie A T, Etchie T O, Sivanesan S, Adewuyi G O, Krishnamurthi K, Rao P S, Pillarisetti A, Arora N K, Smith K R. The health burden and economic costs averted by ambient PM2.5 pollution reductions in Nagpur, India. Environment International, 2017, 102, 145–156.
Zwozdziak A, Sówka I, Willak-Janc E, Zwozdziak J, Kwiecińska K, Balińska-Miśkiewicz W. Influence of PM1 and PM2.5 on lung function parameters in healthy schoolchildren — a panel study. Environmental Science and Pollution Research, 2016, 23, 23892–23901.
Onishi T, Honda A, Tanaka M, Chowdhury P H, Okano H, Okuda T, Shishido D, Terui Y, Hasegawa S, Kameda T, Tohno S, Hayashi M, Nishita-Hara C, Hara K, Inoue K, Yasuda M, Hirano S, Takano H. Ambient fine and coarse particles in Japan affect nasal and bronchial epithelial cells differently and elicit varying immune response. Environmental Pollution, 2018, 242, 1693–1701.
Shah A S V, Langrish J P, Nair H, McAllister D A, Hunter A L, Donaldson K, Newby D, Mills N L. Global association of air pollution and heart failure: A systematic review and meta-analysis. Lancet, 2013, 382, 1039–1048.
Zanobetti A, Schwartz J. The effect of fine and coarse particulate air pollution on mortality: A national analysis. Environmental Health Perspectives, 2009, 117, 898–903.
Sharratt B S, Lauer D. Particulate matter concentration and air quality affected by windblown dust in the Columbia Plateau. Journal of Environmental Quality, 2006, 35, 2011–2016.
Jonges M, van Leuken J, Wouters I, Koch G, Meijer A, Koopmans M. Wind-mediated spread of low-pathogenic avian influenza virus into the environment during outbreaks at commercial poultry farms. PLOS ONE, 2015, 10, e0125401–e0125415.
Sorte S, Rodrigures V, Ascenso A, Freitas S, Valente J, Monteiro A, Borrego C. Numerical and physical assessment of control measures to mitigate fugitive dust emissions from harbor activities. Air Quality, Atmosphere & Health, 2018, 11, 493–504.
Chen S Y, Zhang X R, Lin J T, Huang J P, Zhao D, Yuan T G, Huang K N, Luo Y, Jia Z, Zang Z, Qiu Y A, Xie L. Fugitive road dust PM2.5 emissions and their potential health impacts. Environmental Science & Technology, 2019, 53, 8455–8465.
Sun J, Shen Z X, Zhang L M, Lei Y L, Cong X S, Zhang Q, Zhang T, Xu H M, Cui S, Wang Q Y, Cao J J, Tao J, Zhang N N, Zhang R J. Chemical source profiles of urban fugitive dust PM2.5 samples from 21 cities across China. Science of the Total Environment, 2019, 649, 1045–1053.
Singh K, Tiwari S, Jha A K, Aggarwal S G, Bisht D S, Murty B P, Khan Z H, Gupta P K. Mass-size distribution of PM10 and its characterization of ionic species in fine (PM2.5) and coarse (PM10–2.5) mode, New Delhi, India. Natural Hazards, 2013, 68, 775–789.
Middleton N, Tozer P, Tozer B. Sand and dust storms: Underrated natural hazards. Disasters, 2019, 43, 390–409.
Bush K J, Heflin K R, Marek G W, Bryant T C, Auvermann B W. Increasing stocking density reduces emissions of fugitive dust from cattle feedyards. Applied Engineering in Agriculture, 2014, 30, 815–824.
Singh P, Sharratt B, Schillinger W F. Wind erosion and PM10 emission affected by tillage systems in the world’s driest rainfed wheat region. Soil & Tillage Research, 2012, 124, 219–225.
Li Y L, Cui J Y, Zhang T H, Okuro T, Drake S. Effectiveness of sand-fixing measures on desert land restoration in Kerqin Sandy Land, northern China. Ecological Engineering, 2009, 35, 118–127.
Kim R, Lee I, Kwon K, Yeo U, Lee S, Lee M. Design of a windbreak fence to reduce fugitive dust in open areas. Computers and Electronics in Agriculture, 2018, 149, 150–165.
Fang H, Wu X X, Zou X Y, Yang X F. An integrated simulation-assessment study for optimizing wind barrier design. Agricultural and Forest Meteorology, 2018, 263, 198–206.
Bajsanski I, Stojakovic V, Tepavcevic B, Jovanovic M, Mitov D. An application of the shark skin denticle geometry for windbreak fence design and fabrication. Journal of Bionic Engineering, 2017, 14, 579–587.
Tanthapanichakoon W, Charinpanitkul T. Suppression of fugitive dust emitted from stone quarrying process using wetted wire screen. Separation and Purification Technology, 2012, 92, 17–20.
Dong Z B, Luo W Y, Qian G Q, Lu P, Wang H T. A wind tunnel simulation of the turbulence fields behind upright porous wind fences. Journal of Arid Environments, 2010, 74, 193–207.
Li B, Sherman D J. Aerodynamics and morphodynamics of sand fences: A review. Aeolian Research, 2015, 17, 33–18.
Lee S J, Kim H B. Laboratory measurements of velocity and turbulence field behind porous fences. Journal of wind Engineering and Industrial Aerodynamics, 1999, 80, 311–326.
San B B, Wang Y Y, Qiu Y. Numerical simulation and optimization study of the wind flow through a porous fence. Environmental Fluid Mechanics, 2018, 18, 1057–1075.
Moghimi M A, Ahmadi G. Wind barriers optimization for minimizing collector mirror soiling in a parabolic trough collector plant. Applied Energy, 2018, 225, 413–423.
Ranasinghe D, Lee E S, Zhu Y, Frausto-Vicencio I, Choi W, Sun W, Mara S, Seibt U, Paulson S E. Effectiveness of vegetation and sound wall-vegetation combination barriers on pollution dispersion from freeways under early morning conditions. Science of the Total Environment, 2019, 658, 1549–1558.
Lee E S, Ranasinghe D R, Ahangar F E, Amini S, Mara S, Choi W, Paulson S, Zhu Y. Field evaluation of vegetation and noise barriers for mitigation of near-freeway air pollution under variable wind conditions. Atmospheric Environment, 2018, 175, 92–99.
Hong B, Lin B R, Qin H Q. Numerical investigation on the coupled effects of building-tree arrangements on fine particulate matter (PM2.5) dispersion in housing blocks. Sustainable Cities and Society, 2017, 34, 358–370.
Willis W B, Eichinger W E, Prueger J H, Hapeman C J, Li H, Buser M D, Hatfield J L, Wanjura J D, Holt G A, Torrents A, Plenner S J, Clarida W, Browne S D, Downey P M, Yao Q. Particulate capture efficiency of a vegetative environmental buffer surrounding an animal feeding operation. Agriculture, Ecosystems and Environment, 2017, 240, 101–108.
Xie C K, Kan L Y, Guo J K, Jin S J, Li Z G, Chen D, Li X, Che S Q. A dynamic processes study of PM retention by trees under different wind conditions. Environmental Pollution, 2018, 233, 315–322.
Weerakkody U, Dover J W, Mitchell P, Reiling K. Particulate matter pollution capture by leaves of seventeen living wall species with special reference to rail-traffic at a metropolitan station. Urban Forestry & Urban Greening, 2017, 27, 173–186.
Liang D, Ma C, Wang Y Q, Wang Y J, Zhao C X. Quantifying PM2.5 capture capability of greening trees based on leaf factors analyzing. Environmental Science and Pollution Research, 2016, 23, 21176–21186.
Manickathan L, Defraeye T, Allegrini J, Derome D, Carmeliet J. Comparative study of flow field and drag coefficient of model and small natural trees in a wind tunnel. Urban Forestry & Urban Greening, 2018, 35, 230–239.
Tadrist L, Saudreau M, de Langre E. Wind and gravity mechanical effects on leaf inclination angles. Journal of Theoretical Biology, 2014, 341, 9–16.
Kuhlemeier C. Phyllotaxis. Current Biology, 2017, 27, R882–R887.
Guo L, Ma S L, Zhao D S, Zhao B, Xu B F, Wu J W, Tong J, Chen D H, Ma Y H, Li M, Chang Z Y. Experimental investigation of vegetative environment buffers in reducing particulate matters emitted from ventilated poultry house. Journal of the Air & Waste Management Association, 2019, 69, 934–943.
Tong J, Liu X, Maghirang R, Wei K Q, Liu L N, Wang C, Ma Y H, Chen D H, Yan H J, Guo L. Investigation of the potential and mechanism of clove for mitigating airborne particulate matter emission from stationary sources. Journal of Bionic Engineering, 2017, 14, 390–400.
Sæbø A, Popek R, Nawrot B, Hanslin H M, Gawronska H, Gawronski S W. Plant species differences in particulate matter accumulation on leaf surfaces. Science of the Total Environment, 2012, 427–428, 347–354.
Udo K, Takewaka S. Experimental study of blown sand in a vegetated area. Journal of Coastal Research, 2007, 23, 1175–1182.
Durgin F, Isyumov N, Cermak J, Davenport A, Irwin P, Peterka J, Ramsay S, Reinhold T, Scanlan R, Stathopoulos T, Steckley A, Tieleman H, Vickery P J. Wind-tunnel studies of buildings and structures. Journal of Aerospace Engineering, 1996, 9, 19–36.
Xie J F, Liu Y Y, Li Y F. Variations and potential causes of surface and free atmospheric wind velocities in Jilin. Plateau Meteorology, 2015, 5, 1424–1434. (in Chinese)
Dong Z B, Luo W Y, Qian G Q, Wang H T. A wind tunnel simulation of the mean velocity fields behind upright porous fences. Agricultural and Forest Meteorology, 2007, 146, 82–93.
Wang T, Qu J J, Ling Y Q, Xie S B, Xiao J H. Wind tunnel test on the effect of metal net fences on sand flux in a Gobi Desert, China. Journal of Arid Land, 2017, 9, 888–889.
Çoşkun Ş, Hazaveh H A, Uzol O, Kurç Ö. Experimental investigation of wake flow field and wind comfort characteristics of fractal wind fences. Journal of Wind Engineering & Industrial Aerodynamics, 2017, 168, 32–47.
Zhang N, Kang J-H, Lee S-J. Wind tunnel observation on the effect of a porous wind fence on shelter of saltating sand particles. Geomorphology, 2010, 120, 224–232.
Chen B Y, Cheng J J, Xin L G, Wang R. Effectiveness of hole plate-type sand barriers in reducing aeolian sediment flux: Evaluation of effect of hole size. Aeolian Research, 2019, 38, 1–12.
Jiang Y, Luo Y, Zhao Z C. Characteristics of wind direction change in China during recent 50 years. Journal of Applied Meteorology science, 2008, 6, 666–672. (in Chinese)
Acknowledgment
This study was supported by the National Natural Science Found of China (Grant Nos. 51575228, 41501510 and 51875245), the Research Foundation of Science and Technology Department of Jilin Province (Grant No. 20190302040GX), the Plan of Science and Technology Development of Jilin Province of China (No. 20180520204JH), the Science-Technology Development Plan Project of Jilin Province (20190303012SF, 20190303003SF), and the Science and Technology Project of Changchun (18DY007).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Guo, L., Zhao, D., Zhao, B. et al. Bio-inspired Design and Evaluation of Porous Fences for Mitigating Fugitive Dust. J Bionic Eng 17, 370–379 (2020). https://doi.org/10.1007/s42235-020-0030-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s42235-020-0030-7