Spatial characteristics of the PM2.5/PM10 ratio and its indicative significance regarding air pollution in Hebei Province, China

被引:23
作者
Zha, Huimin [1 ]
Wang, Rende [1 ]
Feng, Xiaomiao [2 ]
An, Cheney [3 ]
Qian, Jinping [3 ]
机构
[1] Hebei Acad Sci, Hebei Engn Res Ctr Geog Informat Applicat, Inst Geog Sci, Shijiazhuang 050011, Hebei, Peoples R China
[2] Shijiazhuang Univ, Coll Resources & Environm Sci, Shijiazhuang 050035, Hebei, Peoples R China
[3] Hebei Normal Univ, Coll Resource & Environm Sci, Hebei Key Lab Environm Change & Ecol Construct, Shijiazhuang 050024, Hebei, Peoples R China
基金
中国国家自然科学基金;
关键词
PM2.5/PM10; ratio; PM2.5; PM10; Spatial characteristic; Economic density; Wind speed; PARTICULATE MATTER; PM10; EMISSIONS; CITIES; URBAN; VARIABILITY; NO2;
D O I
10.1007/s10661-021-09258-w
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Particulate matter (PM) is the primary air pollutant in northern China. The PM2.5/PM10 ratio has been used increasingly as an indicator to reflect anthropogenic PM pollution, but its advantages compared with individual PM2.5 or PM10 concentrations have not been proven sufficiently by experimental data. By dividing Hebei Province (China) into seven natural ecological regions, this study investigated the spatial characteristics of the PM2.5/PM10 ratio and its relationships with PM2.5, PM10, economic density, and wind speed. Results showed that the PM2.5/PM10 ratio decreased from east to west and from south to north, with an annual average value in 2019 of 0.439-0.559. The characteristics of the spatial variation of the PM2.5/PM10 ratio were different to those of either PM2.5 or PM10 concentration, indicating that PM pollution reflected by the PM2.5/PM10 ratio is not entirely consistent with that by PM2.5 and PM10 concentrations. In comparison with PM2.5 or PM10 concentration, the PM2.5/PM10 ratio had higher (lower) correlation with economic density (wind speed), indicating that the PM2.5/PM10 ratio is a better indicator used to reflect the intensity of anthropogenic emissions of PM pollutants. According to the characteristics of the spatial variations of the PM2.5/PM10 ratio and the PM2.5 and PM10 concentrations, the seven ecological regions of Hebei Province were categorized into four different types of atmospheric PM pollution: "three low regions," "three high regions," "one high and two low regions," and "one low and two high regions." This reflects the comprehensive effect of the intensity of anthropogenic PM emissions and the atmospheric diffusion conditions.
引用
收藏
页数:12
相关论文
共 43 条
[1]   Analysis of PM10 and PM2.5 Concentrations in an Urban Atmosphere in Northern Spain [J].
Angeles Garcia, M. ;
Luisa Sanchez, M. ;
de los Rios, Adrian ;
Perez, Isidro A. ;
Pardo, Nuria ;
Fernandez-Duque, Beatriz .
ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 2019, 76 (02) :331-345
[2]   Spatial and temporal variation of particulate matter and gaseous pollutants in 26 cities in China [J].
Chai, Fahe ;
Gao, Jian ;
Chen, Zhenxing ;
Wang, Shulan ;
Zhang, Yuechong ;
Zhang, Jingqiao ;
Zhang, Hefeng ;
Yun, Yaru ;
Ren, Chun .
JOURNAL OF ENVIRONMENTAL SCIENCES, 2014, 26 (01) :75-82
[3]   Air pollution in mega cities in China [J].
Chan, Chak K. ;
Yao, Xiaohong .
ATMOSPHERIC ENVIRONMENT, 2008, 42 (01) :1-42
[4]   Influences of Traffic Emissions and Meteorological Conditions on Ambient PM10 and PM2.5 Levels at a Highway Toll Station [J].
Cheng, Yu-Hsiang ;
Li, Yi-Sheng .
AEROSOL AND AIR QUALITY RESEARCH, 2010, 10 (05) :456-462
[5]   Modeling the spatio-temporal heterogeneity in the PM10-PM2.5 relationship [J].
Chu, Hone-Jay ;
Huang, Bo ;
Lin, Chuan-Yao .
ATMOSPHERIC ENVIRONMENT, 2015, 102 :176-182
[6]   Spatial variation of PM2.5, PM10, PM2.5 absorbance and PMcoarse concentrations between and within 20 European study areas and the relationship with NO2 - Results of the ESCAPE project [J].
Eeftens, Marloes ;
Tsai, Ming-Yi ;
Ampe, Christophe ;
Anwander, Bernhard ;
Beelen, Rob ;
Bellander, Tom ;
Cesaroni, Giulia ;
Cirach, Marta ;
Cyrys, Josef ;
de Hoogh, Kees ;
De Nazelle, Audrey ;
de Vocht, Frank ;
Declercq, Christophe ;
Dedele, Audrius ;
Eriksen, Kirsten ;
Galassi, Claudia ;
Grazuleviciene, Regina ;
Grivas, Georgios ;
Heinrich, Joachim ;
Hoffmann, Barbara ;
Iakovides, Minas ;
Ineichen, Alex ;
Katsouyanni, Klea ;
Korek, Michal ;
Kraemer, Ursula ;
Kuhlbusch, Thomas ;
Lanki, Timo ;
Madsen, Christian ;
Meliefste, Kees ;
Moelter, Anna ;
Mosler, Gioia ;
Nieuwenhuijsen, Mark ;
Oldenwening, Marieke ;
Pennanen, Arto ;
Probst-Hensch, Nicole ;
Quass, Ulrich ;
Raaschou-Nielsen, Ole ;
Ranzi, Andrea ;
Stephanou, Euripides ;
Sugiri, Dorothee ;
Udvardy, Orsolya ;
Vaskoevi, Eva ;
Weinmayr, Gudrun ;
Brunekreef, Bert ;
Hoek, Gerard .
ATMOSPHERIC ENVIRONMENT, 2012, 62 :303-317
[7]  
[樊守彬 Fan Shoubin], 2011, [环境科学与技术, Enuivonmental Science and Technology], V34, P124
[8]  
Huang LM, 2002, CHINA ENVIRON SCI, V04, P47
[9]   High secondary aerosol contribution to particulate pollution during haze events in China [J].
Huang, Ru-Jin ;
Zhang, Yanlin ;
Bozzetti, Carlo ;
Ho, Kin-Fai ;
Cao, Jun-Ji ;
Han, Yongming ;
Daellenbach, Kaspar R. ;
Slowik, Jay G. ;
Platt, Stephen M. ;
Canonaco, Francesco ;
Zotter, Peter ;
Wolf, Robert ;
Pieber, Simone M. ;
Bruns, Emily A. ;
Crippa, Monica ;
Ciarelli, Giancarlo ;
Piazzalunga, Andrea ;
Schwikowski, Margit ;
Abbaszade, Guelcin ;
Schnelle-Kreis, Juergen ;
Zimmermann, Ralf ;
An, Zhisheng ;
Szidat, Soenke ;
Baltensperger, Urs ;
El Haddad, Imad ;
Prevot, Andre S. H. .
NATURE, 2014, 514 (7521) :218-222
[10]   Winter monsoon variability and its impact on aerosol concentrations in East Asia [J].
Jeong, Jaein I. ;
Park, Rokjin J. .
ENVIRONMENTAL POLLUTION, 2017, 221 :285-292