Mass-size distribution of PM10 and its characterization of ionic species in fine (PM2.5) and coarse (PM10-2.5) mode, New Delhi, India

被引:18
|
作者
Singh, Khem [1 ]
Tiwari, S. [2 ]
Jha, A. K. [3 ]
Aggarwal, Shankar G. [1 ]
Bisht, D. S. [2 ]
Murty, B. P.
Khan, Zahid H. [4 ]
Gupta, Prabhat K. [1 ]
机构
[1] Natl Phys Lab, New Delhi 110012, India
[2] Indian Inst Trop Meteorol, Delhi Branch, New Delhi 110060, India
[3] Cent Pollut Control Board, Vadodara 390023, Gujarat, India
[4] Jamia Millia Islamia, Dept Phys, New Delhi 110025, India
关键词
Ionic species (cations and anions); Particulate matter; Size distribution; CHEMICAL-COMPOSITION; AMBIENT AIR; ATMOSPHERIC AEROSOLS; PARTICULATE MATTER; URBAN ATMOSPHERE; CHEMISTRY; PRECIPITATION; EXPOSURE; NITRATE; WET;
D O I
10.1007/s11069-013-0652-8
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Size distribution of PM10 mass aerosols and its ionic characteristics were studied for 2 years from January 2006 to December 2007 at central Delhi by employing an 8-stage Andersen Cascade Impactor sampler. The mass of fine (PM2.5) and coarse (PM10-2.5) mode particles were integrated from particle mass determined in different stages. Average concentrations of mass PM10 and PM2.5 were observed to be 306 +/- A 182 and 136 +/- A 84 mu g m(-3), respectively, which are far in excess of annual averages stipulated by the Indian National Ambient Air Quality Standards (PM10: 60 mu g m(-3) and PM2.5: 40 mu g m(-3)). The highest concentrations of PM10-2.5 (coarse) and PM2.5 (fine) were observed 505 +/- A 44 and 368 +/- A 61 mu g m(-3), respectively, during summer (June 2006) period, whereas the lower concentrations of PM10-2.5 (35 +/- A 9 mu g m(-3)) and PM2.5 (29 +/- A 13 mu g m(-3)) were observed during monsoon (September 2007). In summer, because of frequent dust storms, coarse particles are more dominant than fine particles during study period. However, during winter, the PM2.5 contribution became more pronounced as compared to summer probably due to enhanced emissions from anthropogenic activities, burning of biofuels/biomass and other human activities. A high ratio (0.58) of PM2.5/PM10 was observed during winter and low (0.24) during monsoon. A strong correlation between PM10 and PM2.5 (r (2) = 0.93) was observed, indicating that variation in PM10 mass is governed by the variation in PM2.5. Major cations (NH4 (+), Na+, K+, Ca2+ and Mg2+) and anions (F-, Cl-, SO4 (2-) and NO3 (-)) were analyzed along with pH. Average concentrations of SO4 (2-) and NO3 (-) were observed to be 12.93 +/- A 0.98 and 10.33 +/- A 1.10 mu g m(-3), respectively. Significant correlation between SO4 (2-) and NO3 (-) in PM1.0 was observed indicating the major sources of secondary aerosol which may be from thermal power plants located in the southeast and incomplete combustion by vehicular exhaust. A good correlation among secondary species (NH+, NO3 (-) and SO4 (2-)) suggests that most of NH4 (+) is in the form of ammonium sulfate and ammonium nitrate in the atmosphere. During winter, the concentration of Ca2+ was also higher; it may be due to entrainment of roadside dust particles, traffic activities and low temperature. The molar ratio (1.39) between Cl- and Na+ was observed to be close to that of seawater (1.16). The presence of higher Cl- during winter is due to western disturbances and probably local emission of Cl- due to fabric bleaching activity in a number of export garment factories in the proximity of the sampling site.
引用
收藏
页码:775 / 789
页数:15
相关论文
共 50 条
  • [31] PM10 and PM2.5 -: legislation, measurement and control
    Sloss, LL
    Smith, IM
    INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION, 2002, 17 (1-2) : 157 - 169
  • [32] Speciation and origin of PM10 and PM2.5 in Spain
    Querol, X
    Alastuey, A
    Viana, MM
    Rodriguez, S
    Artiñano, B
    Salvador, P
    do Santos, SG
    Patier, RF
    Ruiz, CR
    de la Rosa, J
    de la Campa, AS
    Menendez, M
    Gil, JI
    JOURNAL OF AEROSOL SCIENCE, 2004, 35 (09) : 1151 - 1172
  • [33] Speciation and origin of PM10 and PM2.5 in Spain
    Querol, X. (xavier.querol@ija.csic.es), 1600, Elsevier Ltd (35):
  • [34] Does PM10 influence the prediction of PM2.5?
    Choudhary, Rashmi
    Agarwal, Amit
    2022 SMART CITIES SYMPOSIUM PRAGUE (SCSP), 2022,
  • [35] The distribution of PM10 and PM2.5 carbonaceous aerosol in Baotou, China
    Zhou, Haijun
    He, Jiang
    Zhao, Boyi
    Zhang, Lijun
    Fan, Qingyun
    Lu, Changwei
    Dudagula
    Liu, Tao
    Yuan, Yinghui
    ATMOSPHERIC RESEARCH, 2016, 178 : 102 - 113
  • [36] Chemical characterization of PM10 and PM2.5 mass concentrations emitted by heterogeneous traffic
    Srimuruganandam, B.
    Nagendra, S. M. Shiva
    SCIENCE OF THE TOTAL ENVIRONMENT, 2011, 409 (17) : 3144 - 3157
  • [37] Water soluble inorganic species of PM10 and PM2.5 at an urban site of Delhi, India: Seasonal variability and sources
    Saxena, Mohit
    Sharma, A.
    Sen, A.
    Saxena, Priyanka
    Saraswati
    Mandal, T. K.
    Sharma, S. K.
    Sharma, C.
    ATMOSPHERIC RESEARCH, 2017, 184 : 112 - 125
  • [38] PM10, PM2.5 and PM1 Distribution in Penang Island, Malaysia
    Beh, B. C.
    Tan, F.
    Tan, C. H.
    Syahreza, S.
    Jafri, M. Z. Mat
    Lim, H. S.
    2012 NATIONAL PHYSICS CONFERENCE (PERFIK 2012), 2013, 1528 : 146 - 150
  • [39] The empirical correlations between PM2.5, PM10 and AOD in the Beijing metropolitan region and the PM2.5, PM10 distributions retrieved by MODIS
    Kong, Lingbin
    Xin, Jinyuan
    Zhang, Wenyu
    Wang, Yuesi
    ENVIRONMENTAL POLLUTION, 2016, 216 : 350 - 360
  • [40] Study on ambient concentrations of PM10, PM10-2.5, PM2.5 and gaseous pollutants. Trace elements and chemical speciation of atmospheric particulates
    Dongarra, G.
    Manno, E.
    Varrica, D.
    Lombardo, M.
    Vultaggio, M.
    ATMOSPHERIC ENVIRONMENT, 2010, 44 (39) : 5244 - 5257