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Hidden in snow: Selected aspects of chemical composition of an urban snow cover (Kielce, SE Poland) Cover

Hidden in snow: Selected aspects of chemical composition of an urban snow cover (Kielce, SE Poland)

Open Access
|Jun 2023

Figures & Tables

Figure 1.

Research area (geoportal.powiat.kielce.pl; changed)
Research area (geoportal.powiat.kielce.pl; changed)

Figure 2.

Meteorological conditions in Kielce in February 2023 (based on data from IMGW, station Kielce-Suków)
Meteorological conditions in Kielce in February 2023 (based on data from IMGW, station Kielce-Suków)

Figure 3.

Direction of air mass flows on 8–10 February 2023 (NOAA Hysplit)
Direction of air mass flows on 8–10 February 2023 (NOAA Hysplit)

Figure 4.

Number of days with snowfall and maximum snow cover thickness in 1996–2022 (data from IMGW, station Kielce-Suków)
Number of days with snowfall and maximum snow cover thickness in 1996–2022 (data from IMGW, station Kielce-Suków)

Figure 5.

Physico-chemical properties of snow samples in Kielce in 2023
Physico-chemical properties of snow samples in Kielce in 2023

Figure 6.

Chemical composition of snow cover (selected ions)
Chemical composition of snow cover (selected ions)

Figure 7.

Spatial distribution of physico-chemical properties of snow from Kielce
Spatial distribution of physico-chemical properties of snow from Kielce

Figure 8.

Spatial distribution of Cl and Ca concentrations in snow from Kielce
Spatial distribution of Cl and Ca concentrations in snow from Kielce

Figure 9.

Graphic image of relationships among PC1 and PC2 with a scree plot
Graphic image of relationships among PC1 and PC2 with a scree plot

Figure 10.

Pollution with PM10 and PM2.5 in Kielce – mean daily concentration (a) and hourly data (b). (Based on data from GIOŚ)
Pollution with PM10 and PM2.5 in Kielce – mean daily concentration (a) and hourly data (b). (Based on data from GIOŚ)

Physico-chemical properties of water from melted snow

No.ClSO4NO3NaNH4MgKCapHECSnow cover
mg·dm−3-μS·cm−1cm
11.370.630.950.860.370.050.120.396.8512.355
211.221.690.086.700.570.060.052.226.1556.66
30.920.671.120.550.470.050.091.575.9819.477
40.810.781.300.170.160.030.020.125.818.978
51.930.670.861.130.290.080.001.294.9116.465
61.300.560.950.800.410.050.060.614.8410.24
71.840.770.741.160.400.080.100.644.6713.287
81.160.850.860.680.320.060.124.584.3931.23
90.650.590.640.480.270.040.051.104.34115
101.690.900.740.980.280.040.094.544.8132.75
111.501.260.670.700.210.020.182.524.8121.544
1211.381.201.056.700.440.050.034.565.2763.64
138.401.100.814.970.440.070.092.495.1844.24
142.161.030.701.170.380.100.040.754.9715.355
151.180.770.730.740.330.030.090.765.0211.575
163.831.051.031.730.480.050.080.905.0219.925
171.370.970.900.730.000.080.000.844.8917.784
184.692.211.712.740.900.090.232.604.9934.94
193.641.231.572.260.480.090.411.475.0322.57
2011.422.891.776.990.710.110.283.085.1460.46
212.191.001.501.360.630.080.010.705.1915.247
2212.491.851.297.660.590.110.011.415.1753.27
234.742.181.662.611.130.130.151.775.0533.23
245.551.551.663.160.680.060.061.385.1231.15
MIN0.650.560.080.170.000.020.000.124.348.973
MAX12.492.891.777.661.130.130.414.586.8563.608
MEAN4.061.181.052.380.460.070.101.765.1527.365,2
STD3.910.600.422.370.240.030.101.320.5516.951,38
Reference sample1.321.041.630.820.540.075.631.075.0714.627

Selected physico-chemical properties of snow in different regions

ParameterUnitCement and lime industryMetallurgical industryRemote pollutionUrban area
White Basin, Poland (Kozłowski et al. 2012, Kozłowski, Szwed 2016)Kunda, Estonia (Kaasik et al. 2000)Łagów, Poland (Szwed, Kozłowski 2021)Ostrowiec Św., Poland (Jarzyna et al. 2017)Świętokrzyski National Park, Poland (Kozłowski, Szwed 2016)Kielce. Poland 2016/2023 (Kozłowski et al. 2017)Poznań, Poland (Siudek et al. 2015)Primorsky Krai, Russia (Kondrat’ev et al. 2015)Svirsk, Russia (Grebenshchikova et al. 2017)
pH(−)6.39 8.057.385.235.59/5.154.85.056.63
EC(mS m−1)3.28 5.914.152.612.78/2.742.074.2
Ca2+(mg L−1)4.418.8104 2.5/1.8 2.58.7
Mg2+0.2 0.4 0.2/0.1 0.41.4
SO42−(mg L−1)3.218.81.73.6 1.8/1.2 4.914.9
NO3 2.322.6 3.1/1.1 3.41.2

Comparison of measured and certified concentrations in KEJIM-15

IonKEJIM-15DIONEX ICS 3000Dev.**
Concentration±UncertaintyAverage±SD*
[mg/l][%]
Ca0,4880,0460,470,02−4,30
Mg0,2940,0240,310,014,20
K0,2520,0260,250,02−2,78
Na2,660,232,630,10−1,13
Cl3,790,183,640,10−3,96
SO41,130,081,110,09−1,77

Principal component analysis (PCA) analysis of studied physico-chemical parameters

VariablePC 1PC 2PC 3
Cl−0.9*0.4−0.2
SO4−0.9*−0.20.0
NO3−0.5−0.7*0.0
Na−0.9*0.4−0.2
NH4−0.7−0.4−0.1
Mg−0.6−0.5−0.1
K−0.4−0.50.4
Ca−0.50.50.7
pH−0.10.1−0.8*
EC−0.9*0.50.1
% of variance46.7%18.8%13.0%
% in total46.7%65.5%78.5%
DOI: https://doi.org/10.2478/oszn-2023-0004 | Journal eISSN: 2353-8589 | Journal ISSN: 1230-7831
Language: English
Page range: 1 - 10
Published on: Jun 30, 2023
Published by: National Research Institute, Institute of Environmental Protection
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Related subjects:

© 2023 Mirosław Szwed, Rafał Kozłowski, Zuzanna Śliwa, Aleksandra Zeliaś, Joanna Przybylska, Marta Ludew, published by National Research Institute, Institute of Environmental Protection
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.