Volume 13 Issue 1
Jan.  2023
Turn off MathJax
Article Contents
Article Navigation >  Journal of Environmental Engineering Technology  > 2023  >  13(1): 122-128
WANG L C,DONG D,GU K K,et al.Study on the influence of urban green space and its spillover effect on PM2.5 concentration: a case of urban districts of Hefei City[J].Journal of Environmental Engineering Technology，2023，13（1）：122-128 doi: 10.12153/j.issn.1674-991X.20210866
Citation: WANG L C,DONG D,GU K K,et al.Study on the influence of urban green space and its spillover effect on PM2.5 concentration: a case of urban districts of Hefei City[J].Journal of Environmental Engineering Technology，2023，13（1）：122-128 doi: 10.12153/j.issn.1674-991X.20210866
shu

Study on the influence of urban green space and its spillover effect on PM2.5 concentration: a case of urban districts of Hefei City

doi: 10.12153/j.issn.1674-991X.20210866
  • 1.

    School of Architecture & Planning, Anhui Jianzhu University

  • 2.

    Anhui Academy of Territory Spacial Planning & Ecology

  • Received Date: 2021-12-29
    Abstract

  • Fine particulate matter (PM2.5) has been paid more and more attention because of its negative effect on human health. Previous studies have shown that green space has an effect on PM2.5 concentration, but it is not clear whether this effect correlates with the spatial distribution of PM2.5 concentration. In addition, most of these studies focus on the change of PM2.5 concentration in the interior of green space, and there is little research on the spillover effect of green space. Based on the 2018 remote sensing images and PM2.5 raster data of urban districts in Hefei, the study area was divided into three regions, namely HH (High-High) effect area, LL (Low-Low) effect area and insignificant effect area through autocorrelation analysis of the spatial distribution of PM2.5 concentration. According to the interpretation and selection of the green space, the research green spaces were obtained, PM2.5 raster data were statistically analyzed by ArcGIS, and the correlation analysis and regression analysis were carried out by SPSS. The results showed that the spillover effect of green spaces in different regions had different effects on PM2.5 concentration. In HH effect area, the average concentration of PM2.5 decreased with the increase of the distance from the green spaces, but it increased in LL effect area. The effect of green space index on the variation of PM2.5 concentration was different in different regions, NDVIg had the greatest effect on PM2.5 concentration in LL effect area, while Sg had the greatest effect on PM2.5 concentration in HH effect area and insignificant effect area.

     

    • FullText(HTML)
  • loading
    • References(33)
  • [1]
    王橹玺, 李慧, 张文杰, 等.大气PM2.5载带重金属的区域污染特征研究[J]. 环境科学研究,2021,34(4):849-862.

    WANG L X, LI H, ZHANG W J, et al. Regional pollution characteristics of heavy metals in PM2.5[J]. Research of Environmental Sciences,2021,34(4):849-862.
    [2]
    LI Y, LIAO Q, ZHAO X G, et al. Premature mortality attributable to PM2.5 pollution in China during 2008-2016: underlying causes and responses to emission reductions[J]. Chemosphere,2021,263:127925. doi: 10.1016/j.chemosphere.2020.127925
    [3]
    蔡宁宁, 王宝庆, 胡新鑫, 等.室内人体行走引起颗粒物再悬浮的试验研究[J]. 环境科学研究,2021,34(3):766-771. doi: 10.13198/j.issn.1001-6929.2020.09.03

    CAI N N, WANG B Q, HU X X, et al. Experimental study of human walking-induced indoor particle resuspension[J]. Research of Environmental Sciences,2021,34(3):766-771. doi: 10.13198/j.issn.1001-6929.2020.09.03
    [4]
    XING Y F, XU Y H, SHI M H, et al. The impact of PM2.5 on the human respiratory system[J]. Journal of Thoracic Disease,2016,8(1):E69-E74.
    [5]
    ZHANG D T, TIAN Y H, ZHANG Y, et al. Fine particulate air pollution and hospital utilization for upper respiratory tract infections in Beijing, China[J]. International Journal of Environmental Research and Public Health,2019,16(4):533. doi: 10.3390/ijerph16040533
    [6]
    李超群, 钟梦莹, 武瑞鑫, 等.常见地被植物叶片特征及滞尘效应研究[J]. 生态环境学报,2015,24(12):2050-2055. doi: 10.16258/j.cnki.1674-5906.2015.12.020

    LI C Q, ZHONG M Y, WU R X, et al. Study on leaf characteristics and dust-capturing capability of common ground cover plants[J]. Ecology and Environmental Sciences,2015,24(12):2050-2055. doi: 10.16258/j.cnki.1674-5906.2015.12.020
    [7]
    ERKEBAEV T, ATTOKUROV K, SATTAROV A, et al. Dust retention ability of plants as a factor improving environment air[J]. American Journal of Plant Sciences,2021,12(2):187-198. doi: 10.4236/ajps.2021.122011
    [8]
    殷卓君, 沈小雪, 李瑞利, 等.深圳市常见园林植物滞尘效应研究[J]. 北京大学学报(自然科学版),2020,56(6):1081-1090. doi: 10.13209/j.0479-8023.2020.096

    YIN Z J, SHEN X X, LI R L, et al. Study on the dust retention effect of common garden plants in Shenzhen[J]. Acta Scientiarum Naturalium Universitatis Pekinensis,2020,56(6):1081-1090. doi: 10.13209/j.0479-8023.2020.096
    [9]
    RUI L Y, BUCCOLIERI R, GAO Z, et al. The impact of green space layouts on microclimate and air quality in residential districts of Nanjing, China[J]. Forests,2018,9(4):224. doi: 10.3390/f9040224
    [10]
    戴菲, 陈明, 王敏, 等.城市街区形态对PM10、PM2.5的影响研究: 以武汉为例[J]. 中国园林,2020,36(3):109-114.

    DAI F, CHEN M, WANG M, et al. Effect of urban block form on reducing particulate matter: a case study of Wuhan[J]. Chinese Landscape Architecture,2020,36(3):109-114.
    [11]
    张进, 陈健.高交通密度道路周边乔灌草型绿地对大气颗粒物的影响[J]. 环境污染与防治,2019,41(9):1094-1097. doi: 10.15985/j.cnki.1001-3865.2019.09.017

    ZHANG J, CHEN J. The effect of arbor-shrub-grass green space on atmospheric particulate matters around high traffic density road[J]. Environmental Pollution & Control,2019,41(9):1094-1097. doi: 10.15985/j.cnki.1001-3865.2019.09.017
    [12]
    王科朴, 张语克, 刘雪华.北京城市绿地对大气颗粒物的削减量计算[J]. 环境科学与技术,2020,43(4):121-129. doi: 10.19672/j.cnki.1003-6504.2020.04.018

    WANG K P, ZHANG Y K, LIU X H. Modeled particulate matters removal by urban green lands in Beijing[J]. Environmental Science & Technology,2020,43(4):121-129. doi: 10.19672/j.cnki.1003-6504.2020.04.018
    [13]
    佘欣璐, 高吉喜, 张彪.基于城市绿地滞尘模型的上海市绿色空间滞留PM2.5功能评估[J]. 生态学报,2020,40(8):2599-2608.

    SHE X L, GAO J X, ZHANG B. PM2.5 removal service of green spaces in Shanghai based on the dust retention simulation on urban vegetation[J]. Acta Ecologica Sinica,2020,40(8):2599-2608.
    [14]
    CAI L Y, ZHUANG M Z, REN Y. A landscape scale study in Southeast China investigating the effects of varied green space types on atmospheric PM2.5 in mid-winter[J]. Urban Forestry & Urban Greening,2020,49:126607.
    [15]
    戴菲, 毕世波, 孙培源.PM2.5消减效应导向下的城市绿色基础设施网络优化: 以湖北省武汉市江汉区为例[J]. 风景园林,2020,27(10):51-56.

    DAI F, BI S B, SUN P Y. Urban green infrastructure network optimization guided by PM2.5 reduction effect: a case study of Jianghan District, Wuhan City, Hubei Province[J]. Landscape Architecture,2020,27(10):51-56.
    [16]
    JEANJEAN A P R, BUCCOLIERI R, EDDY J, et al. Air quality affected by trees in real street canyons: the case of Marylebone neighbourhood in central London[J]. Urban Forestry & Urban Greening,2017,22:41-53.
    [17]
    屈海燕, 宋迪, 刘凌汉, 等.庭院乔木对PM2.5污染分布影响的模拟分析[J]. 沈阳建筑大学学报(自然科学版),2019,35(6):1127-1135.

    QU H Y, SONG D, LIU L H, et al. Simulation for the effect of courtyard plants on PM2.5 pollution distribution[J]. Journal of Shenyang Jianzhu University (Natural Science),2019,35(6):1127-1135.
    [18]
    孙志红, 王亚青.金融集聚对区域经济增长的空间溢出效应研究: 基于西北五省数据[J]. 审计与经济研究,2017,32(2):108-118.

    SUN Z H, WANG Y Q. The study of spatial spillover effects of financial agglomeration on regional economic growth: based on the data of five northwestern provinces[J]. Journal of Audit & Economics,2017,32(2):108-118.
    [19]
    HAMMER M S, van DONKELAAR A, LI C, et al. Global estimates and long-term trends of fine particulate matter concentrations (1998-2018)[J]. Environmental Science & Technology,2020,54(13):7879-7890.
    [20]
    陈明, 胡义, 戴菲.城市绿地空间形态对PM2.5的消减影响: 以武汉市为例[J]. 风景园林,2019,26(12):74-78.

    CHEN M, HU Y, DAI F. Influence of urban green space forms on PM2.5 reduction: a case study of Wuhan[J]. Landscape Architecture,2019,26(12):74-78.
    [21]
    邱媛, 管东生, 宋巍巍, 等.惠州城市植被的滞尘效应[J]. 生态学报,2008,28(6):2455-2462. doi: 10.3321/j.issn:1000-0933.2008.06.003

    QIU Y, GUAN D S, SONG W W, et al. The dust retention effect of urban vegetation in Huizhou, Guangdong Province[J]. Acta Ecologica Sinica,2008,28(6):2455-2462. doi: 10.3321/j.issn:1000-0933.2008.06.003
    [22]
    陈博. 北京地区典型城市绿地对PM2.5等颗粒物浓度及化学组成影响研究[D]. 北京: 北京林业大学, 2016.
    [23]
    李新宇, 赵松婷, 李延明, 等.北京市不同主干道绿地群落对大气PM2.5浓度消减作用的影响[J]. 生态环境学报,2014,23(4):615-621. doi: 10.3969/j.issn.1674-5906.2014.04.012

    LI X Y, ZHAO S T, LI Y M, et al. Subduction effect of urban arteries green space on atmospheric concentration of PM2.5 in Beijing[J]. Ecology and Environmental Sciences,2014,23(4):615-621. doi: 10.3969/j.issn.1674-5906.2014.04.012
    [24]
    宋晓晖, 毕晓辉, 吴建会, 等.杭州市空气颗粒物污染特征及变化规律研究[J]. 环境污染与防治,2012,34(7):60-63. doi: 10.3969/j.issn.1001-3865.2012.07.013

    SONG X H, BI X H, WU J H, et al. Study on the characters and variation of ambient particulate matter pollution in Hangzhou[J]. Environmental Pollution & Control,2012,34(7):60-63. doi: 10.3969/j.issn.1001-3865.2012.07.013
    [25]
    顾康康, 钱兆, 方云皓, 等.基于ENVI-met的城市道路绿地植物配置对PM2.5的影响研究[J]. 生态学报,2020,40(13):4340-4350.

    GU K K, QIAN Z, FANG Y H, et al. Influence of vegetation arrangement on PM2.5 in urban roadside based on ENVI-met[J]. Acta Ecologica Sinica,2020,40(13):4340-4350.
    [26]
    李新宇, 赵松婷, 许蕊, 等.园林植物对大气细颗粒物浓度的正负作用评价[J]. 农学学报,2019,9(11):44-49. doi: 10.11923/j.issn.2095-4050.cjas20190500050

    LI X Y, ZHAO S T, XU R, et al. Positive and negative effects of landscape plants on atmospheric fine particulate matter concentration[J]. Journal of Agriculture,2019,9(11):44-49. doi: 10.11923/j.issn.2095-4050.cjas20190500050
    [27]
    王扶潘, 朱乔, 冯凝, 等.深圳大气中VOCs的二次有机气溶胶生成潜势[J]. 中国环境科学,2014,34(10):2449-2457.

    WANG F P, ZHU Q, FENG N, et al. The generation potential of secondary organic aerosol of atmospheric VOCs in Shenzhen[J]. China Environmental Science,2014,34(10):2449-2457.
    [28]
    陈文泰, 邵敏, 袁斌, 等.大气中挥发性有机物(VOCs)对二次有机气溶胶(SOA)生成贡献的参数化估算[J]. 环境科学学报,2013,33(1):163-172. doi: 10.13671/j.hjkxxb.2013.01.026

    CHEN W T, SHAO M, YUAN B, et al. Parameterization of contribution to secondary organic aerosol (SOA) formation from ambient volatile organic compounds (VOCs)[J]. Acta Scientiae Circumstantiae,2013,33(1):163-172. doi: 10.13671/j.hjkxxb.2013.01.026
    [29]
    马超, 薛志钢, 李树文, 等.VOCs排放、污染以及控制对策[J]. 环境工程技术学报,2012,2(2):103-109. doi: 10.3969/j.issn.1674-991X.2012.02.016

    MA C, XUE Z G, LI S W, et al. VOCs emission, pollution and control measures[J]. Journal of Environmental Engineering Technology,2012,2(2):103-109. doi: 10.3969/j.issn.1674-991X.2012.02.016
    [30]
    WEITKAMP E A, SAGE A M, PIERCE J R, et al. Organic aerosol formation from photochemical oxidation of diesel exhaust in a smog chamber[J]. Environmental Science & Technology,2007,41(20):6969-6975.
    [31]
    GRIESHOP A P, LOGUE J M, DONAHUE N M, et al. Laboratory investigation of photochemical oxidation of organic aerosol from wood fires 1: measurement and simulation of organic aerosol evolution[J]. Atmospheric Chemistry and Physics,2009,9(4):1263-1277. doi: 10.5194/acp-9-1263-2009
    [32]
    张鑫. 南京城市道路绿地对PM2.5扩散影响研究[D]. 南京林业大学, 2018.
    [33]
    周亚端, 朱宽广, 黄凡, 等. 新冠肺炎疫情期间湖北省大气污染物减排效果评估[J]. 环境科学与技术, 2020, 43(3): 228-236.

    ZHOU Y D, ZHU K G, HUANG F, et al. Emission reductions and air quality improvements during the COVID-19 pandemic in Hubei Province[J]. Environmental Science and Technology, 2020, 43(3): 228-236.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(4)  / Tables(6)

    Get Citation
    PDF
    XML

    Article Metrics

    Article Views(233) PDF Downloads(36) Cited by()
    Proportional views
    Related

    Copyright © Editorial Department of Journal of Environmental Engineering Technology

    京ICP备05031605号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd.  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return