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The regulation effect of urban green space on air particulate matter concentration under different matrices in Xi'an city

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Abstract

Urban green space can effectively alleviate air pollution, in which vegetation structure plays an important role. However, these green spaces with varying vegetation structures exist in different environmental backgrounds of the city. By analyzing the influence of the different environmental backgrounds on the dust retention effect of green spaces with varying vegetation structures, green spaces can be truly utilized as a solution in alleviating air pollution. Therefore, according to the typical characteristics of landscape patterns and different coverage ratios of green areas in Xi’an city, China, the matrices of urban landscape were divided into three types, which include "green space", "grey-green mixed space" and "gray space." In each environmental background, urban green space was divided into three levels: horizontal structure, species composition and vertical structure. Subsequently, 13 types of green spaces with different vegetation structures and three hard (no vegetation present) squares as control groups were selected. A one-year on-site monitoring was conducted on urban green spaces and concentrations of TSP, PM10, PM2.5 and PM1. The results showed that: (1) In the green space, the concentrations of PM1 and PM2.5 were relatively higher. In the grey-green mixed space, the average concentration of air particle of all four particle sizes was the lowest. In the gray space, the concentrations of PM10 and TSP were more concentrated. (2) Under the same matrices, due to the different locations of the plots, the concentration of air particles of different sizes was significantly different. Under the different urban environmental backgrounds, temperature, relative humidity, wind speed and air pressure all showed the same trend in the change of air particle concentration. (3) The one-layer green space structure was most suitable for planting. Considering the green space, the coniferous one-layered green space (CO) structure was recommended. The partly-closed broad-leaved one-layered green space (P-CBO) was found to be more suitable for the grey-green mixed space. Considering the gray space in the city center, it was suggested to plant the closed mixed coniferous and broad-leaved one-layered green space (CMO) structure. The findings provide empirical support for the future collocation of urban green vegetation structure and the improvement of urban air quality.

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References

  • Arnfield AJ (2003) Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island. Int J Climatol 23:1

    Article  Google Scholar 

  • Baker W L (1989) A review of models of landscape change. Landsc Ecol 2(2):111–133

  • Beckett KP, Freer-Smith PH, Taylor G (2012) The capture of particulate pollution by trees at five contrasting urban sites. Arboricultural J 24(2–3):209–230

    Google Scholar 

  • Chan YC, Simpson RW, McTainsh GH (1997) Characterisation of chemical species in PM2.5 and PM10 aerosols in Brisbane Australia. Atmos Environ 31(22):3773–3785

    Article  CAS  Google Scholar 

  • Chen ZX (2001) Study on the ecological benefits of urban landscaping in Beijing. Tianjin Constr Sci Technol 14(0z1):1–30

    Google Scholar 

  • Chen LD, Li XZ, Fu BJ (2014) Development history and future research priorities of landscape ecology in China. J Ecol 1(012):3129–3141

    Google Scholar 

  • Colvile RN, Hutchinson EJ, Mindell JS (2001) The transport sector as a source of air pollution. Atmos Environ 35(9):1537–1565

    Article  CAS  Google Scholar 

  • Dawson JP, Adams PJ, Pandis SN (2007) Sensitivity of PM to climate in the Eastern US: a modeling case study. Atmos Chem Phys 7(16):4295–4309

    Article  CAS  Google Scholar 

  • Ebenstein A, Fan M, Greenstone M (2013) Evidence on the impact of sustained exposure to air pollution on life expectancy from China’s Huai River policy. Proceed Nat Acad Sci United States of America 110:32

    Google Scholar 

  • Escobedo FJ, Nowak DJ (2009) Spatial heterogeneity and air pollution removal by an urban forest. Landsc Urban Plan 90:102–110

    Article  Google Scholar 

  • Fan M, He G, Zhou M (2020) The Winter Choke: Coal-fired heating, air pollution, and mortality in China. J Health Econ 71:102316

    Article  Google Scholar 

  • Fenn ME, Bytnerowicz A (1997) Summer through fall and winter deposition in the San Bernardino Mountains in southern California. Atmos Environ 31(5):673–683

    Article  CAS  Google Scholar 

  • Freer-Smith PH, El-Khatib AA, Taylor G (2004) Capture of particulate pollution by trees: a comparison of species typical of semi-arid areas (Ficus nitida and Eucalyptus globulus) with European and North American species. Water Air Soil Pollut 155(1):173–187

    Article  CAS  Google Scholar 

  • Fu X, Wang X, Hu Q (2016) Changes in visibility with PM2.5 composition and relative humidity at a background site in the Pearl River Delta region. J Environ Sci China 40:10–19

    Article  CAS  Google Scholar 

  • Gao T, Hedblom M, Emilsson T (2014) The role of forest stand structure as biodiversity indicator. For Ecol Manage 330:82–93

    Article  Google Scholar 

  • Guo EG, Wang C (2009) The particulates in the air of a typical recreation forest in the West Mountain of Beijing are different the diurnal variations of the seasons. J Ecol 29(06):3253–3263

    CAS  Google Scholar 

  • He W, Cao Y, Xing XS (2014) Preliminary study on the treatment and utilization of landscape waste – A case study of the Biomass processing station of Luhuateng in Haidian District. Theor Res Urban Constr: Electron Version 000(006):1–3

    Google Scholar 

  • Huang BX, Chiou SC, Li WY (2021) Landscape pattern and ecological network structure in urban green space planning: a case study of Fuzhou City. Land 10(8):769

    Article  Google Scholar 

  • Huffman JA, Prenni AJ, DeMott PJ (2013) High concentrations of biological aerosol particles and ice nuclei during and after rain. Atmos Chem Phys 13(13):6151–6164

    Article  Google Scholar 

  • Hwang HJ, Yook SJ, Ahn KH (2011) Experimental investigation of submicron and ultrafine soot particle removal by tree leaves. Atmos Environ 45(38):6987–6994

    Article  CAS  Google Scholar 

  • Hya B, Qha B, Cha B (2020) Spatiotemporal patterns of global air pollution: A multi-scale landscape analysis based on dust and sea-salt removed PM2.5 data. J Clean Prod 252:119887

  • Irga PJ, Burchett MD, Torpy FR (2015) Does urban forestry have a quantitative effect on ambient air quality in an urban environment? [J]. Atmos Environ 120:173–181

    Article  CAS  Google Scholar 

  • Jacobson MZ (2001) Strong radiative heating due to the mixing state of black carbon in atmospheric aerosols. Nature 409(6821):695–697

    Article  CAS  Google Scholar 

  • Jia LQ, Shu B (2012) Review and prospect of the relationship between urban green space and heat island effect. Chinese Garden 28(4):4

    Google Scholar 

  • Jim CY, Chen WY (2008) Assessing the ecosystem service of air pollutant removal by urban trees in Guangzhou (China). J Environ Manage 88(4):665–676

    Article  CAS  Google Scholar 

  • Kaiser DP (2000) Decreasing cloudiness over China: an updated analysis examining additional variables. Geophys Res Lett 26:2193–2196

    Article  Google Scholar 

  • Ketzel M, Berkowicz R (2004) Modelling the fate of ultrafine particles from exhaust pipe to rural background: an analysis of time scales for dilution, coagulation and deposition. Atmos Environ 38(17):2639–2652

    Article  CAS  Google Scholar 

  • Kleeman MJ, Schafer JJ, Cass GR (2000) Size and composition distribution of fine particulate matter emitted from motor vehicles. Environ Sci Technol 34(7):1132–1142

    Article  CAS  Google Scholar 

  • Kretinin VM, Selyanina ZM (2006) Dust retention by tree and shrub leaves and its accumulation in light chestnut soils under forest shelterbelts. Eurasian Soil Sci 39(3):334–338

    Article  Google Scholar 

  • Latha KM, Highwood EJ (2006) Studies on particulate matter (PM10) and its precursors over urban environment of Reading, UK. J Quant Spectrosc Radiat Transfer 101(2):367–379

    Article  CAS  Google Scholar 

  • Leonard RJ, McArthur C, Hochuli DF (2016) Particulate matter deposition on roadside plants and the importance of leaf trait combinations. Urban For Urban Green 20:249–253

    Article  Google Scholar 

  • Li JX (2020) Analysis on the influence of motor vehicle exhaust and coal combustion on haze in China. Guangzhou Chem Ind 48(14):3

    CAS  Google Scholar 

  • Li GD, Qi W (2019) Impact of construction land expansion on landscape pattern evolution in China. J Geogr 74(12):20

    Google Scholar 

  • Liang L, Wang Z, Li J (2019) The effect of urbanization on environmental pollution in rapidly developing urban agglomerations. J Clean Prod 237:117649

    Article  Google Scholar 

  • Lin J, Liu W, Li Y, Bao LM, Li YL, Wang GH (2009) Atmospheric aerosol particle size distribution characteristics and gas correlation analysis of image conditions. J Meteorol Environ 25(01):1–5

    Google Scholar 

  • Liu XH, Yu XX, Zhang ZM (2014) Characteristics of PM10 and PM2.5 pollution in forest belt and their relationship with meteorological conditions. J Ecol 33(7):7

    CAS  Google Scholar 

  • Thithanhthao N, Xinxiao Y, Zhenming Z, Mengmeng L, Xuhui Liu (2015) Relationship between types of urban forest and PM2.5 capture at three growth stages of leaves. J Environ Sci 27:33–41

  • Lovett GM, Lindberg SE (1992) Concentration and deposition of particles and vapors in a vertical profile through a forest canopy. Atmos Environ A Gen Top 26(8):1469–1476

    Article  Google Scholar 

  • Maji KJ, Dikshit AK, Arora M (2017) Estimating premature mortality attributable to PM2.5 exposure and benefit of air pollution control policies in China for 2020. Sci Total Environ 612:683

    Article  Google Scholar 

  • Mori J, Hanslin HM, Burchi G (2015) Particulate matter and element accumulation on coniferous trees at different distances from a highway. Urban Forestry & Urban Greening 14(1):170–177

    Article  Google Scholar 

  • Mu L, Deng F, Tian L (2014) Peak expiratory flow, breath rate and blood pressure in adults with changes in particulate matter air pollution during the Beijing Olympics: a panel study. Environ Res 133:4–11

    Article  CAS  Google Scholar 

  • Myeong JK, Jongkyu L (2019) The removal efficiencies of several temperate tree species at adsorbing airborne particulate matter in urban forests and roadsides. Forests 10:960

    Article  Google Scholar 

  • Nowak DJ, Crane DE, Stevens JC (2006) Air pollution removal by urban trees and shrubs in the United States. Urban For Urban Green 4(3–4):115–123

    Article  Google Scholar 

  • Prusty BA, Mishra PC, Azeez PA (2005) Dust accumulation and leaf pigment content in vegetation near the national highway at Sambalpur, Orissa. India Ecotoxicol Environ Safety 60(2):228–235

    Article  CAS  Google Scholar 

  • Przybysz A, Popek R, Stankiewicz-Kosyl M (2021) Where trees cannot grow - Particulate matter accumulation by urban meadows. Sci Total Environ 785:147310

    Article  CAS  Google Scholar 

  • Qiu L, Liu F, Zhang X (2018) Reduction of airborne particulate matter concentration in green space with different vegetation structures in urban parks. Environ Sci Res 31(10):10

    Google Scholar 

  • Qiu L, Liu F, Zhang X (2019) Difference of airborne particulate matter concentration in urban space with different green coverage rates in Baoji, China. Int J Environ Res Public Health 16(8):1465

    Article  CAS  Google Scholar 

  • Qiu D, Liu J (2016) Dry deposition of particulate matter at an urban forest, wetland and lake surface in Beijing. Atmos Environ 125:178–187

  • Ratajczak A, Badyda A, Czechowskie P (2021) Air pollution increases the incidence of upper respiratory tract symptoms among Polish children. J Clin Med 10(10):2150

    Article  CAS  Google Scholar 

  • Sæbø A, Popek R, Nawrot B (2012) Plant species differences in particulate matter accumulation on leaf surfaces. Sci Total Environ 427:347–354

    Article  Google Scholar 

  • Samoli E, Stergiopoulou A, Santana P (2019) Spatial variability in air pollution exposure in relation to socioeconomic indicators in nine European metropolitan areas: A study on environmental inequality. Environ Pollut 249:345–353

    Article  CAS  Google Scholar 

  • Sehmel GA (1980) Particle and gas dry deposition: a review. Atmos Environ 14(9):983–1011

    Article  Google Scholar 

  • Coulson RN, Lovelady CN, Flamm RO, Spradling SL, Saunders MC (1991) Intelligent geographic information systems for natural resource management. In: Turner, M.G. and Gardner, R.H. (eds.), Quantitative methods in landscape ecology.Springer-Verlag, New York, pp 153–172

  • Shen J, Li B B, Zheng G L, Wang B (2019) Review of the effects of urban trees on airborne particulate matter. J Anhui Agric Sci Technol, 47(2):8–11+16

  • Shi Z, Bi LM, Shi JW (2014) Characteristics and source analysis of PM2.5 pollution in windy season in Kunming. Environ Sci Technol 37(12):6

    Google Scholar 

  • Song Y, Tang X, Xie S (2007) Source apportionment of PM2.5 in Beijing in 2004. J Hazard Mater 146(1–2):124–130

    Article  CAS  Google Scholar 

  • Song C, Wu L, Xie Y (2017) Air pollution in China: status and spatiotemporal variations. Environ Pollut 227:334–347

    Article  CAS  Google Scholar 

  • Sosa BS, Porta A, Lerner JC (2017) Human health risk due to variations in PM10-PM2.5 and associated PAHs levels. Atmos Environ 160:27–35

    Article  CAS  Google Scholar 

  • Souch C A (1993) The effect of trees on summertime below canopy urban climates: A case study Bloomington, Indiana. Arboriculture and Urban Forestry 19(5)

  • Sun CW, Lou Y, Li J (2018) Urban traffic infrastructure investment and air pollution: evidence from the 83 cities in China. J Clean Prod 172:488–496

    Article  Google Scholar 

  • Terzaghi E, Wild E, Zacchello G (2013) Forest filter effect: Role of leaves in capturing/releasing air particulate matter and its associated PAHs. Atmos Environ 74:378–384

    Article  CAS  Google Scholar 

  • Tomašević M, Vukmirović Z, Rajšić S (2005) Characterization of trace metal particles deposited on some deciduous tree leaves in an urban area. Chemosphere 61(6):753–760

    Article  Google Scholar 

  • Wang HB, Chen J, Liu H (2000) Characteristics and source analysis of particulate matter pollution in Xi’an city in summer. Clim Environ Res Investigate 5(1):7

    Google Scholar 

  • Wang GY, Bai WL, Li XY (2014) Analysis of green space design technology to reduce PM2.5 and other particulate matter pollution in Beijing. Chi Gard 7:7

    Google Scholar 

  • Wang S, Li G, Gong Z (2015) Spatial distribution, seasonal variation and regionalization of PM2.5 concentrations in China. Sci China Chem 58(9):1435–1443

    Article  CAS  Google Scholar 

  • Wasif R, Benno K, Bertil F, Nilsson S J (2021) Air pollution, physical activity and ischaemic heart disease: A prospective cohort study of interaction effects. BMJ open 11:4

    Google Scholar 

  • Woodruff TJ, Grillo J, Schoendorf KC (1997) The relationship between selected causes of postneonatal infant mortality and particulate air pollution in the United States. Environ Health Perspect 105(6):608–612

    Article  CAS  Google Scholar 

  • Wu ZW, Ma X, Yang X (2013) Uneven distribution of PM2.5 and residential area Planning. applied mechanics and materials. Trans Tech Publications Ltd 361:966–972

    Google Scholar 

  • Wu HT, Yang C, Chen J et al (2018) Effects of Green space landscape patterns on particulate matter in Zhejiang Province, China[J]. Atmos Pollut Res 9(5):923–933

    Article  CAS  Google Scholar 

  • Yang S (1996) Urban Ecology. Science Press, Beijing, p 141

    Google Scholar 

  • Yang X, Peter B (2017) Dispersion of traffic derived air pollutants into urban parks. Sci Total Environ 622–623(2018):576–583

    Google Scholar 

  • Yang DB, Wang SG, Huang JG (1994) The relationship between air pollution and meteorological conditions in Lanzhou city. J Lanzhou Univ 01:132–136

    Google Scholar 

  • Yang HB, Zhou XD, Wang HY (2012) Research progress and prospect of PM2.5 in atmospheric environment. J Meteorol Environ 28(3):77–82

    Google Scholar 

  • Yang ZS, Zhang H, Ding Y (2015) Research contents and prospects of urban green space. Prog Geogr 1:12

    Google Scholar 

  • Zhang HY, Rao S, Chi YY (2006) Research progress on atmospheric environmental effects of urban landscape pattern. Adv Earth Sci 21(10):8

    CAS  Google Scholar 

  • Zhang F, Cheng H, Wang Z (2014) Fine particles (PM2.5) at a CAWNET background site in Central China: chemical compositions, seasonal variations and regional pollution events. Atmos Environ 86:193–202

    Article  CAS  Google Scholar 

  • Zhao ST (2015) Study on the ability of 29 garden plants to retain atmospheric fine particles in Beijing. J Ecol Environ 24(6):9

    Google Scholar 

  • Zhao Y X, Wang L, Ge H (2015) Discussion on the role of ecological security barrier and the function of forest vegetation in haze control in Qinling. Agric Technol, 35(09):74–75+86

  • Zhou ZX (2002) Spatial structure and dust retention effect of green landscape types in Wisco factory area. J Ecol 22(12):5

    Google Scholar 

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Acknowledgements

We thank the volunteers and scientists who helped us with the experiment.

Funding

This research was funded by the National Natural Science Foundation of China [grant number: 31971722], the Science and Technology Innovation Program of Shaanxi Academy of Forestry [grant numbers: SXLK2023-0218].

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Correspondence to Tian Gao or Ling Qiu.

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All participates gave their informed consent for inclusion before they participated in the study. The study was approved by Ethics Committee of College of Landscape Architecture and Arts, Northwest A&F University. The data of this study do not involve any personal information. Private information has been erased before research.

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Highlights

• Determine the regulation effect of urban green space on the concentration of air particulate matter under the different environmental backgrounds of the city.

• Quantify the differences in vegetation structure on the concentration of air particulate matter in urban green space under varying environmental backgrounds within the city.

• Explore the relationship of the location of the plots and meteorological factors over time on the concentration of air particulate matter under the different environmental backgrounds of the city.

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Jiang, B., Fan, S., Sun, C. et al. The regulation effect of urban green space on air particulate matter concentration under different matrices in Xi'an city. Air Qual Atmos Health (2024). https://doi.org/10.1007/s11869-024-01555-w

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