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Characterization of Aerosol samples collected from Lahore region and their possible effect of climate (Record no. 21842)

MARC details
000 -LEADER
fixed length control field 02906nam a22001697a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221006174547.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221006b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number hbk
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 530.12
Item number C37
100 ## - MAIN ENTRY--PERSONAL NAME
Student name Muhammad Abbas,
Class M. Phil Physics,
Session 2015-2017
Supervisor Supervised by Dr. Naveed Ahmad
245 ## - TITLE STATEMENT
Title Characterization of Aerosol samples collected from Lahore region and their possible effect of climate
Statement of responsibility, etc / Muhammad Abbas
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Lahore :
Name of publisher, distributor, etc Division of Science & Technology, University of Education,
Date of publication, distribution, etc 2018
300 ## - PHYSICAL DESCRIPTION
Extent 90 p.
Accompanying material CD
520 ## - SUMMARY, ETC.
Summary, etc Particulate Matter (PM) strongly affects the living beings and climate of a particular region or area.<br/>Current research work emphasizes on calculation of mass concentration, size distribution,<br/>chemical composition and the source apportionment in provincial capital of Pakistan (Lahore).<br/>The PM was collectedusing MOUDI Impactor rotating model 110 – R for a specific time period<br/>i.e. from November, 2016 to February, 2017. The average standard deviation in mass<br/>concentrations of total suspended particulate matter (TSPM), coarser particulate matter (PM10),<br/>fine particulate matter (PM2.5) and ultra-fine particulate matter (PM0.1) were observed to be 932.36<br/>± 70.82, 517.77 ± 35.27, 210 ±17.77 and 204.59 ± 17.78µgm-3, respectively. TSPM, PM10, PM2.5<br/>and PM0.1 samples were analyzed chemically for 23 elements including Na, P, K, S, Ca, Mn, Fe,<br/>Cu, Zn, Ga, As, Sr, Pb, Cl2, Cd, Cr, Sb, Sn, Se, Mg, Ni, Ba and Al using X-ray fluorescence<br/>spectrometry (XRF). The crustal enrichment factors (EF) were calculated using Fe as a reference<br/>for the trace metal species to identify the sourcesas crustal elements with EF ≤ 1, weak crustal<br/>elements with 1 ≤ EF ≤ 5 and non-crustal elements with EF > 5. US-EPA Positive Matrix<br/>Factorization (PMF) model was used for source apportionment of PM10, PM2.5 and PM0.1. Five<br/>possible sources were analyzed in PM10, PM2.5 and PM0.1 and observations reveal that road and<br/>industrial dust, vehicular emissions, iron and steel industry, oil burning in various sectors and<br/>biomass burning contribute 26.84, 29.4, 14.3, 15.8 and 13.7% to PM10 mass, 28.5, 25.2, 19.1, 110.3<br/>and 16.8% to PM2.5 mass and 27.4, 23.3, 17.6, 21.7 and 10% to PM0.1 mass, respectively. NOAA<br/>HYSPLIT online model was run for time duration of 24 hours using GDAS Meteorological Data<br/>over three heights i.e. 500, 1000 and 1500 m from the sea level. Moreover, the backward trajectory<br/>analysis after adjusting the geographical location of Lahore at 31.93N to 74.58E, suggested that<br/>PM sources are located at Indian Punjab, Jammu Kashmir, Afghanistan, deserts of Sindh, cities of<br/>Pakistan located at motorways, GT road and local sources of Lahore itself.<br/>Keywords: Particulate Matter; Mass concentrations; GDAS Meteorological Data; Climate<br/>change.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Physics--Characterization--Aerosol--Climate
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Theses
Holdings
Withdrawn status Damaged status Home library Current library Date acquired Full call number Barcode Date last seen Price effective from Koha item type
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