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Application of the Simple Additive Weighting Method in the Assessment Process of Air Pollution on the Campus of the Silesian University of Technology Cover

Application of the Simple Additive Weighting Method in the Assessment Process of Air Pollution on the Campus of the Silesian University of Technology

Architecture, Civil Engineering, Environment
Volume 16 (2023): Issue 4 (December 2023)
By: Elwira Zajusz-Zubek and  Zygmunt Korban  
Open Access
|Dec 2023

Figures & Tables

Figure 1.

Location of the measurement point (50.292934N, 18.682164E) [28]
Location of the measurement point (50.292934N, 18.682164E) [28]

Compilation of the concentration of PM10 [μg/m3] and PM2_5 [μg/m3] and the content of SO2 [μg/m3], NO [μg/m3], NO2 [μg/m3] and NOx [μg/m3] in the “winter period” of the year 2020

Measurement datePM10 [μg/m3]PM2.5 [μg/m3]SO2 [μg/m3]NO [μg/m3]NO2 [μg/m3]NOX [μg/m3]
1/01/202040.46228.32325.4783.2758.70613.715
2/01/2020124.90287.43241.50338.82127.19586.583
3/01/2020107.25475.07832.00626.42114.95655.371
…………………
29/03/202055.67638.9737.2732.75414.33818.552
30/03/202020.93814.6566.4213.98615.23921.336
31/03/202039.46627.6268.9235.64120.31728.951
1/10/202018.25812.78122.04914.45319.97242.070
2/10/202026.51518.56021.9599.11321.56535.493
3/10/202024.38717.07122.2091.1647.6129.392
…………………
29/12/202043.74730.62319.27913.79024.30945.409
30/12/202039.85527.89918.92041.47445.820109.232
31/12/202054.99138.49337.07913.62034.10854.943

Scaled decision matrix V

Measurement datej = 1j = 2j = 3j = 4j = 5j = 6
1/01/20200.8020.8020.4460.9790.9310.970
2/01/20200.2950.2950.0000.6610.4670.621
3/01/20200.4010.4010.2640.7720.7740.770
…………………
29/03/20200.7100.7100.9520.9840.7890.947
30/03/20200.9190.9190.9760.9730.7670.933
31/03/20200.8080.8080.9060.9580.6390.897
1/10/20200.9350.9350.5410.8790.6480.834
2/10/20200.8850.8850.5440.9270.6080.866
3/10/20200.8980.8980.5370.9980.9580.990
…………………
29/12/20200.7820.7820.6180.8850.5390.818
30/12/20200.8050.8050.6280.6370.0000.513
31/12/20200.7150.7150.1230.8870.2940.773

Partial rankings of “objects” in terms of measurement results of the concentrations of chemical compounds: SO2, NO, NO2 and NOx

Place in ranking“Object”Concentration of dust PM10Place in ranking„Object”Concentration of dust PM2.5
121/03/20205.552122/11/20200.959
222/03/20205.876226/12/20201.051
318/02/20205.926303/10/20201.164
412/03/20206.141425/12/20201.351
………………
16631/12/202037.07916609/11/202064.873
16714/01/202038.03116716/01/202096.890
16802/01/202041.50316817/01/2020112.511
Place in ranking“Object”Concentration of NO2Place in ranking“Object”Concentration of NOx
122/11/20205.935122/11/20207.406
218/10/20206.790225/12/20209.094
325/12/20207.028318/10/20209.249
403/10/20207.612403/10/20209.392
………………
16627/03/202042.21016605/03/2020129.471
16717/01/202044.24816716/01/2020183.417
16830/12/202045.82016817/01/2020216.371

Ranking vector R [m×1]

“Object”Rank (synthetic value)Ranking place
22/11/20200.9761
25/12/20200.9642
22/03/20200.9563
11/02/20200.9524
12/02/20200.9455
02/02/20200.9446
21/03/20200.9417
12/03/20200.9408
11/03/20200.9389
18/10/20200.93410
………
03/12/20200.586159
18/03/20200.578160
01/12/20200.573161
11/12/20200.509162
02/12/20200.455163
02/01/20200.437164
05/03/20200.433165
09/11/20200.409166
16/01/20200.300167
17/01/20200.064168

Weights of features (parameters) wj used in the example

wj
j = 1j = 2j = 3j = 4j = 5j = 6
0.1630.1630.1210.2860.0950.173

Partial rankings of “objects” in terms of measurement results of the concentrations of dusts: PM10 and PM2_5

Place in ranking„Object”Concentration of dust PM10Place in ranking„Object”Concentration of dust PM2.5
114/10/20207.403114/10/20205.182
223/02/202010.552223/02/20207.386
311/03/202011.191311/03/20207.834
412/03/202011.752412/03/20208.226
………………
16616/01/2020113.44616616/01/202079.413
16702/01/2020124.90216702/01/202087.432
16817/01/2020174.14616817/01/2020121.902

Measured values of air temperature, air humidity and air pressure, wind speed and direction

Measurement dateAir temperature [°C]Air humidity [%]Air pressure [hPa]Wind speed [m/s]Wind direction [°]
1/01/20202.62677.8011005.7251.203208.410
2/01/2020−0.24074.9481003.0830.514151.699
3/01/20200.99873.279996.5890.954128.822
………………
29/03/20204.58372.266988.8353.349340.415
30/03/20200.26259.337996.9892.493270.373
31/03/20200.56665.272999.1251.642272.971
1/10/202012.49195.095979.7780.99589.145
2/10/202014.30486.464979.0890.946173.747
3/10/202019.40465.669975.6752.524179.362
………………
29/12/20204.89778.060968.1971.015148.936
30/12/20203.77392.317978.2560.646193.396
31/12/2020−0.31197.963983.2391.055171.390

The ranges of variability of the measured parameters

Measurement datePM10 [μg/m3]PM2.5 [μg/m3]SO2 [μg/m3]NO [μg/m3]NO2 [μg/m3]NOX [μg/m3]
max174.146121.90241.503112.51145.820216.371
min7.4035.1825.5520.9595.9357.406
DOI: https://doi.org/10.2478/acee-2023-0060 | Journal eISSN: 2720-6947 | Journal ISSN: 1899-0142
Journal RSS Feed
Language: English
Page range: 167 - 174
Submitted on: Sep 14, 2023
|
Accepted on: Oct 31, 2023
|
Published on: Dec 31, 2023
Published by: Silesian University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Environmental monitoring,
Hazardous substances,
Single-criteria synthesis method,
Ordering (creating rankings) of the examined “objects”
Related subjects:
Architecture and design,
Architecture,
Architects, buildings

© 2023 Elwira Zajusz-Zubek, Zygmunt Korban, published by Silesian University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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