Effects of land use patterns on PM10 concentrations in urban and suburban areas. A European scale analysis

被引:4
|
作者
Sohrab, Seyedehmehrmanzar [1 ]
Csikos, Nandor [2 ,3 ]
Szilassi, Peter [1 ]
机构
[1] Univ Szeged, Dept Geoinformat Phys & Environm Geog, Egyet U 2-6, H-6722 Szeged, Hungary
[2] HUN REN Ctr Agr Res, Inst Soil Sci, Dept Soil Mapping & Environm Informat, Herman Otto Ut 15, H-1022 Budapest, Hungary
[3] MTA SZTE Lendulet Appl Ecol Res Grp, Koze Fasor 52, H-6726 Szeged, Hungary
关键词
Land use; Urban Atlas; Stepwise GLM model; Landscape pattern; PM10; AIR-QUALITY; PARTICULATE MATTER; HEAT-ISLAND; GREEN INFRASTRUCTURE; SOURCE APPORTIONMENT; POLLUTION; IMPROVEMENT; FORESTS; PM2.5;
D O I
10.1016/j.apr.2023.101942
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Landscape structure, the spatial characteristic of land cover, is a key factor in air quality. In this study, we investigate the connection between different land-use category areas taken from the 2018 Urban Atlas and the European Environmental Agency's monthly average coarse particulate matter (PM10) concentrations. We iden-tified the main PM10 emission-source land-use categories that restrict the transmission of PM10 and therefore reduce PM10 concentrations in urban and suburban areas. According to our results, water, forest and urban park areas inside differently sized buffer zones surrounding PM10 monitoring stations have an obvious clearing effect on PM10 concentrations throughout almost all seasons, while there is a positive correlation between areas of vacant land, railways and mine, dump and construction sites and monthly PM10 concentrations. In addition, the strong effect of the correlation between built-up areas, industrial areas and roads and monthly average PM10 concentrations changes seasonally. Air pollution from motor vehicles shows a significant positive statistical relationship with PM10 concentrations only in the summer, but in contrast, during the heating (cold) period, because of motor vehicle driving (secondary) winds, traffic corridors have a significant decreasing effect on PM10 concentrations. By understanding the effect of different land use/land cover patterns on PM10 concentrations and variability, we can derive precise spatial urban planning strategies that are adaptable for health care.
引用
收藏
页数:20
相关论文
共 50 条
  • [21] Estimate annual and seasonal PM1, PM2.5 and PM10 concentrations using land use regression model
    Miri, Mohammad
    Ghassoun, Yahya
    Dovlatabadi, Afshin
    Ebrahimnejad, Ali
    Loewner, Marc-Oliver
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2019, 174 : 137 - 145
  • [22] Correlations of PM10 concentrations in urban areas with vehicle fleet development, rain precipitation and diesel fuel sales
    Piras, Giuseppe
    Pini, Fabrizio
    Garcia, Davide Astiaso
    ATMOSPHERIC POLLUTION RESEARCH, 2019, 10 (04) : 1165 - 1179
  • [23] Ambient particulate matter (PM10) concentrations in major urban areas of Korea during 1996-2010
    Sharma, Atul Prakash
    Kim, Ki-Hyun
    Ahn, Ji-won
    Shon, Zang-Ho
    Sohn, Jong-Ryeul
    Lee, Jin-Hong
    Ma, Chang-Jin
    Brown, Richard J. C.
    ATMOSPHERIC POLLUTION RESEARCH, 2014, 5 (01) : 161 - 169
  • [24] Local source identification of trace metals in urban/industrial mixed land-use areas with daily PM10 limit value exceedances
    Fernandez-Olmo, Ignacio
    Andecochea, Carlos
    Ruiz, Sara
    Antonio Fernandez-Ferreras, Jose
    Irabien, Angel
    ATMOSPHERIC RESEARCH, 2016, 171 : 92 - 106
  • [25] Statistical analysis of inhalable (PM10) and fine particles (PM2.5) concentrations in urban region of Patras, Greece
    Maraziotis, E.
    Sarotis, L.
    Marazioti, C.
    Marazioti, P.
    GLOBAL NEST JOURNAL, 2008, 10 (02): : 123 - 131
  • [26] Field assessment of the effects of land-cover type and pattern on PM10 and PM2.5 concentrations in a microscale environment
    Fan, Shuxin
    Li, Xiaopeng
    Dong, Li
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (03) : 2314 - 2327
  • [27] ARIMA analysis of the effect of land surface coverage on PM10 concentrations in a high-altitude megacity
    Zafra, Carlos
    Angel, Yenifer
    Torres, Eliana
    ATMOSPHERIC POLLUTION RESEARCH, 2017, 8 (04) : 660 - 668
  • [28] Field assessment of the effects of land-cover type and pattern on PM10 and PM2.5 concentrations in a microscale environment
    Shuxin Fan
    Xiaopeng Li
    Li Dong
    Environmental Science and Pollution Research, 2019, 26 : 2314 - 2327
  • [29] A land use regression for predicting NO2 and PM10 concentrations in different seasons in Tianjin region, China
    Chen, Li
    Bai, Zhipeng
    Kong, Shaofei
    Han, Bin
    You, Yan
    Ding, Xiao
    Du, Shiyong
    Liu, Aixia
    JOURNAL OF ENVIRONMENTAL SCIENCES, 2010, 22 (09) : 1364 - 1373
  • [30] A Land Use Regression Model to Estimate Ambient Concentrations of PM10 and SO2 in İzmit, Turkey
    Emre Yücer
    Arzu Erener
    Gülcan Sarp
    Journal of the Indian Society of Remote Sensing, 2023, 51 : 1329 - 1341