Supplement: Application of ICP-MS and various computational methods for drinking water quality assessment from the Silesian District (Southern Poland)

Σχετικά έγγραφα
,,, (, ) , ;,,, ; -

Divergent synthesis of various iminocyclitols from D-ribose

SUPPLEMENTAL INFORMATION. Fully Automated Total Metals and Chromium Speciation Single Platform Introduction System for ICP-MS

Copper-catalyzed formal O-H insertion reaction of α-diazo-1,3-dicarb- onyl compounds to carboxylic acids with the assistance of isocyanide

Computational study of the structure, UV-vis absorption spectra and conductivity of biphenylene-based polymers and their boron nitride analogues

Butadiene as a Ligand in Open Sandwich Compounds

An experimental and theoretical study of the gas phase kinetics of atomic chlorine reactions with CH 3 NH 2, (CH 3 ) 2 NH, and (CH 3 ) 3 N

Engineering Tunable Single and Dual Optical. Emission from Ru(II)-Polypyridyl Complexes. Through Excited State Design

Σχέση µεταξύ της Μεθόδου των ερµατοπτυχών και της Βιοηλεκτρικής Αντίστασης στον Υπολογισµό του Ποσοστού Σωµατικού Λίπους

A facile and general route to 3-((trifluoromethyl)thio)benzofurans and 3-((trifluoromethyl)thio)benzothiophenes

FENXI HUAXUE Chinese Journal of Analytical Chemistry. Savitzky-Golay. n = SG SG. Savitzky-Golay mmol /L 5700.

difluoroboranyls derived from amides carrying donor group Supporting Information

Table S1. Summary of data collections and structure refinements for crystals 1Rb-1h, 1Rb-2h, and 1Rb-4h.

ΜΕΛΕΤΗ ΤΗΣ ΠΛΑΣΤΙΚΟΤΗΤΑΣ ΑΡΓΙΛΟΥΧΩΝ ΜΙΓΜΑΤΩΝ ΜΕ ΠΡΟΣΘΗΚΗ ΣΙΔΗΡΑΛΟΥΜΙΝΑΣ ΑΠΟ ΤΗ ΔΙΕΡΓΑΣΙΑ BAYER

Aquinas College. Edexcel Mathematical formulae and statistics tables DO NOT WRITE ON THIS BOOKLET

Supplement of Using empirical orthogonal functions derived from remote-sensing reflectance for the prediction of phytoplankton pigment concentrations

Electronic Supplementary Information

Electronic Supplementary Information for Dalton Transactions. Supplementary Data

Heavier chalcogenone complexes of bismuth(iii)trihalides: Potential catalysts for acylative cleavage of cyclic ethers. Supporting Information

Available online at shd.org.rs/jscs/

Supplementary Information 1.

[11].,, , 316 6, ,., 15.5%, 9.8%, 2006., IDF,, ,500, 2,830.,, ,200.,,, β, [12]. 90% 2,,,,, [13-15].,, [13,

1 (forward modeling) 2 (data-driven modeling) e- Quest EnergyPlus DeST 1.1. {X t } ARMA. S.Sp. Pappas [4]

Supporting information. An unusual bifunctional Tb-MOF for highly sensing of Ba 2+ ions and remarkable selectivities of CO 2 /N 2 and CO 2 /CH 4

The toxicity of three chitin synthesis inhibitors to Calliptamus italicus Othoptera Acridoidea

Copper-Catalyzed Oxidative Dehydrogenative N-N Bond. Formation for the Synthesis of N,N -Diarylindazol-3-ones

Changes and Issues of Consolidation Techniques of Peaty Arable Land in Hokkaido

Statistics & Research methods. Athanasios Papaioannou University of Thessaly Dept. of PE & Sport Science

Dalton Transactions, 2017, Katarzyna Czerwińska et al.

; +302 ; +313; +320,.

College of Life Science, Dalian Nationalities University, Dalian , PR China.

ΠΕΡΙΕΧΟΜΕΝΑ. Κεφάλαιο 1: Κεφάλαιο 2: Κεφάλαιο 3:

High order interpolation function for surface contact problem

Supporting Information. Introduction of a α,β-unsaturated carbonyl conjugated pyrene-lactose hybrid

ΟΙΚΟΝΟΜΕΤΡΙΑ. Παπάνα Αγγελική

Α ΤΑΞΗ 6/27/2013 ΣΤΑΤΙΣΤΙΚΗ ΑΝΑΛΥΣΗ ΑΠΟΤΕΛΕΣΜΑΤΩΝ ΙΟΥΝΙΟΥ 2013 ΜΑΘΗΜΑΤΙΚΑ. ΓΙΑ OΛΑ ΤΑ ΜΑΘΗΜΑΤΑ ΕΓΙΝΕ: Α) Περιγραφική ανάλυση ( Mean, Median, Mode)

ΙΕΡΕΥΝΗΣΗ ΤΗΣ ΠΟΙΟΤΗΤΑΣ ΤΟΥ ΝΕΡΟΥ ΑΝΘΡΩΠΙΝΗΣ ΚΑΤΑΝΑΛΩΣΗΣ ΚΑΙ ΤΩΝ ΠΑΡΑΜΕΤΡΩΝ ΠΟΥ ΤΗΝ ΕΠΗΡΕΑΖΟΥΝ

Isotopic and Geochemical Study of Travertine and Hot Springs Occurring Along the Yumoto Fault at North Coast of the Oga Peninsula, Akita Prefecture

SUPPORTING INFORMATION. Polystyrene-immobilized DABCO as a highly efficient and recyclable organocatalyst for Knoevenagel condensation

Supporting Information

Resurvey of Possible Seismic Fissures in the Old-Edo River in Tokyo


ΔΗΜΟΤΙΚΕΣ ΕΚΛΟΓΕΣ 18/5/2014 ΑΚΥΡΑ

Enhancing σ/π-type Copper(I) thiophene Interactions by Metal Doping (Metal = Li, Na, K, Ca, Sc)

Quantitative chemical analyses of rocks with X-ray fluorescence analyzer: major and trace elements in ultrabasic rocks

Supporting Information. Asymmetric Binary-acid Catalysis with Chiral. Phosphoric Acid and MgF 2 : Catalytic

Available online at shd.org.rs/jscs/

Electronic Supplementary Information (ESI)

Supporting Information. Palladium Complexes with Bulky Diphosphine. Synthesis of (Bio-) Adipic Acid from Pentenoic. Acid Mixtures.

Available online at

ΒΙΟΓΡΑΦΙΚΟ ΣΗΜΕΙΩΜΑ. Λέκτορας στο Τμήμα Οργάνωσης και Διοίκησης Επιχειρήσεων, Πανεπιστήμιο Πειραιώς, Ιανουάριος 2012-Μάρτιος 2014.

Εργαστήριο στατιστικής Στατιστικό πακέτο S.P.S.S.

Electronic Supplementary Information

Supporting Information

Biostatistics for Health Sciences Review Sheet

Electronic Supplementary Information

ΕΦΑΡΜΟΓΗ ΕΥΤΕΡΟΒΑΘΜΙΑ ΕΠΕΞΕΡΓΑΣΜΕΝΩΝ ΥΓΡΩΝ ΑΠΟΒΛΗΤΩΝ ΣΕ ΦΥΣΙΚΑ ΣΥΣΤΗΜΑΤΑ ΚΛΙΝΗΣ ΚΑΛΑΜΙΩΝ

Free Radical Initiated Coupling Reaction of Alcohols and. Alkynes: not C-O but C-C Bond Formation. Context. General information 2. Typical procedure 2

Electronic Supporting Information

ΠΡΟΣΩΡΙΝΕΣ ΕΘΝΙΚΕΣ ΤΕΧΝΙΚΕΣ ΠΡΟ ΙΑΓΡΑΦΕΣ

ΚΛΙΜΑΤΟΛΟΓΙΑ CLIMATOLOGY

Fe II aq Fe III oxide electron transfer and Fe exchange: effect of organic carbon

Selecting Critical Properties of Terpenes and Terpenoids through Group-Contribution Methods and Equations of State

Neutralization E#ects of Acidity of Rain by Cover Plants on Slope Land

Quantum dot sensitized solar cells with efficiency over 12% based on tetraethyl orthosilicate additive in polysulfide electrolyte

SUPPLEMENTARY INFORMATION

Περιγραφική στατιστική μεθοδολογία.

Οι επιδόσεις Ελλήνων στο Mini Mental State Examination με βάση την ηλικία και τη νοητική κατάσταση από την παιδική στην τρίτη ηλικία.

Supporting Information. Copyright Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, 2008

Students Sense of School Belonging Scale, Fourth Grade

An Automatic Modulation Classifier using a Frequency Discriminator for Intelligent Software Defined Radio

Determination of Organophosphate Pesticides in Soil Samples by Accelerated Solvent Extraction-Gas Chromatography

Supporting Information for: electron ligands: Complex formation, oxidation and

CorV CVAC. CorV TU317. 1

Challenges Facing Teachers Scale, Fourth Grade

Supporting Information

ΕΠΙΧΕΙΡΗΣΙΑΚΗ EΡΕΥΝΑ & ΔΙΟΙΚΗΤΙΚΗ ΕΠΙΣΤΗΜΗ OPERATIONS RESEARCH & MANAGEMENT SCIENCE

Regioselectivity in the Stille coupling reactions of 3,5- dibromo-2-pyrone.

Άσκηση 10, σελ Για τη μεταβλητή x (άτυπος όγκος) έχουμε: x censored_x 1 F 3 F 3 F 4 F 10 F 13 F 13 F 16 F 16 F 24 F 26 F 27 F 28 F

of the methanol-dimethylamine complex

Synthesis of Imines from Amines in Aliphatic Alcohols on Pd/ZrO 2 Catalyst at Ambient Conditions

SPSS.

Quick algorithm f or computing core attribute

phthalate esters PAEs) n=12 n=20 - GC-MS 13 PAEs 18.77~ ng/l DiBP DEP 2- PAEs PAEs PAEs PAEs DnBP (2011)

Supporting Information

Comparative Study on Determinations of BTEX in Soils from Industrial Contaminated Sites

6ο ΕΡΓΑΣΤΗΡΙΟ ΜΑΘΗΜΑΤΟΣ «ΜΗΧΑΝΙΚΗ ΤΩΝ ΩΚΕΑΝΩΝ» «Θαλάσσια Ιζήματα»

Supplementary!Information!

Department of Chemical Organic Technology and Petrochemistry, Silesian University of Technology, Krzywoustego 4, Gliwice, Poland

Table of Contents 1 Supplementary Data MCD

«ΑΝΑΠΣΤΞΖ ΓΠ ΚΑΗ ΥΩΡΗΚΖ ΑΝΑΛΤΖ ΜΔΣΔΩΡΟΛΟΓΗΚΩΝ ΓΔΓΟΜΔΝΩΝ ΣΟΝ ΔΛΛΑΓΗΚΟ ΥΩΡΟ»

F. Tamooh et al. (2012) Distribution and origin of suspended sediments and organic carbon pools in the Tana River Basin, Kenya.

Research on the Effect and Technique of Remediation for Multi-Metal Contaminated Tailing Soils

Pyrrolo[2,3-d:5,4-d']bisthiazoles: Alternate Synthetic Routes and a Comparative Study to Analogous Fused-ring Bithiophenes

Synthesis of novel 1,2,3-triazolyl derivatives of pregnane, androstane and D-homoandrostane. Tandem Click reaction/cu-catalyzed D-homo rearrangement

35048 SG to 46 Side Valley Tributary

Influence of Flow Rate on Nitrate Removal in Flow Process

Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών Σχολή Θετικών Επιστημών Π.M.Σ. Ωκεανογραφίας

Optimizing Microwave-assisted Extraction Process for Paprika Red Pigments Using Response Surface Methodology

CHARACTERISTICS OF PLANKTONIC ALGAL COMMUNITY IN WINTER IN LAKE WULIANGSUHAI

Transcript:

Cent. Eur. J. Chem. 10(1) 2012 S1-S6 DOI: 10.2478/s11532-011-0110-y Central European Journal of Chemistry Supplement: Application of ICP-MS and various computational methods for drinking water quality assessment from the Silesian District (Southern Poland) Supplementary Information Robert Skorek 1*, Magdalena Jablonska 2, Marzena Polowniak 1, Andrzej Kita 1, Piotr Janoska 3, Franciszek Buhl 1 1 Department of Analytical Chemistry, Institute of Chemistry, University of Silesia, 40-006 Katowice, Poland 2 Institute of Environmental Engineering of the Polish Academy of Science, 41-819 Zabrze, Poland 3 Department of Probability Theory, Institute of Mathematics, University of Silesia, 40-006 Katowice, Poland Supplementary Table 1. The results - mean, standard deviation, median, kurtosis and skewness for all 12 groups of samples. cond* (μs cm -1 ) alk* (mmol H + L -1 ) * (mg CaCO 3 L -1 ) Co sub-region 1 mean 156.0 6.7 1.30 67.9 1.4 0.30 0.57 0.12 0.71 (southern) SD 42.0 0.3 0.62 30.3 0.8 0.21 0.51 0.08 0.50 SW (springs) median 156.0 6.7 1.30 73.9 1.1 0.30 0.42 0.10 0.73 n = 23 kurtosis -0.4 0.2 0.30 0.1 1.3-1.20-0.60 1.90-1.00 skewness -0.6-0.2 0.50 0.5 1.3 0.20 0.90 1.60 0.10 sub-region 2 mean 471.0 7.2 2.93 259.0 1.4 0.26 0.44 0.34 0.86 (Bedzin poviat) SD 58.0 0.1 0.20 44.0 0.4 0.21 0.23 0.14 0.14 SW (Czarna Przemsza river) median 457.0 7.2 2.95 243.0 1.3 0.33 0.37 0.29 0.85 n = 6 kurtosis 1.0 0.8 2.40 4.6-1.8-2.10-0.40-1.20 0.10 skewness 1.1 1.2-0.50 2.1 0.7-0.50 0.80 0.40-0.40 sub-region 3 mean 963.0 7.2 5.42 459.0 1.7 0.84 1.10 0.62 0.89 (Bedzin poviat) SD 163.0 0.2 1.64 117.0 0.7 0.67 0.70 0.46 0.69 GW (groundwater) median 947.0 7.3 5.48 486.0 1.4 0.83 1.20 0.44 0.71 n = 14 kurtosis -1.7 0.8-1.80-1.2-1.2-0.50-1.40-0.50 1.90 skewness 0.2-1.0-0.10-0.5 0.6 0.70-0.30 1.00 1.60 sub-region 4 mean 665.0 7.5 4.92 370.0 1.4 0.37 1.50 0.19 0.69 (Dabrowa) SD 54.0 0.2 0.61 54.0 0.5 0.27 1.10 0.07 0.16 GW (groundwater) median 664.0 7.5 4.82 368.0 1.2 0.34 1.30 0.18 0.69 n = 10 kurtosis -1.9 1.9-0.40-0.8 2.8-0.90-1.20 5.90 1.30 skewness 0.1 0.5 0.80 0.7 1.8 0.50 0.40 2.20 0.40 sub-region 5 mean 198.0 6.9 1.20 86.1 1.7 0.39 0.36 0.17 0.72 (Central: Goczalkowice) SD 28.0 0.2 0.18 6.32 0.9 0.31 0.30 0.13 0.42 SW (reservoirs) median 19.0 7.0 1.25 86.7 1.3 0.29 0.24 0.11 0.66 n = 18 kurtosis 0.4 0.1-0.10-0.3-1.4 0.00 0.00 2.00 0.20 skewness 0.8-0.8 0.00-0.5 0.4 0.90 1.00 1.80 0.40 S1 * E-mail: robert.skorek@us.edu.pl

R. Skorek et al. Supplementary Table 1. The results - mean, standard deviation, median, kurtosis and skewness for all 12 groups of samples. cond* (μs cm -1 ) alk* (mmol H + L -1 ) * (mg CaCO 3 L -1 ) Co sub-region 6 mean 204.0 6.9 1.18 83.3 1.4 0.89 0.51 0.15 0.78 (Central: Go-Cza - Murcki) SD 11.0 0.2 0.23 3.8 0.8 0.85 0.49 0.08 0.49 SW (reservoirs) median 208.0 7.0 1.15 83.8 1.1 0.63 0.34 0.13 0.69 n = 40 kurtosis -0.8-0.5 3.00 2.8-0.1-0.90-0.20 0.10 0.10 skewness -0.5-0.1 5.00 0.0 0.9 0.70 1.00 1.00 0.70 sub-region 7 mean 200.0 7.0 1.16 83.2 1.6 0.77 0.71 0.15 0.82 (Central: Go-Cza - Mikolow) SD 18.0 0.2 0.14 9.6 0.7 0.68 0.58 0.06 0.57 SW (reservoirs) median 202.0 7.0 1.19 84.7 1.4 0.71 0.54 0.14 0.77 n = 16 kurtosis -1.3 0.9-0.70 2.1-0.4-0.50 0.60 9.00 6.80 skewness 0.1-0.5-0.80 0.1 0.8 0.60 1.20 2.70 2.10 sub-region 8 mean 521.0 7.2 3.22 266.0 1.3 1.10 0.86 0.24 0.76 (Maczki) SD 108.0 0.3 0.91 52.0 0.7 0.90 0.74 0.13 0.43 mix (ala Przemsza river) median 505.0 7.2 3.13 259.0 1.1 0.69 0.63 0.20 0.76 n = 16 kurtosis 2.4 0.3 0.50 0.4 1.7-0.90-1.80 2.60-1.30 skewness 1.4-0.2-0.20 0.6 1.4 0.60 0.20 1.50 0.20 sub-region 9 mean 415.0 7.3 3.14 228.0 1.7 0.39 0.33 0.14 0.73 (biela+kozlowa Gora) SD 51.0 0.3 0.30 25.0 0.7 0.31 0.26 0.03 0.34 mix (reservoir + groundwater) median 410.0 7.4 3.15 222.0 1.5 0.22 0.28 0.14 0.68 n = 27 kurtosis 0.5 0.9 1.00-0.1-0.1 0.70 2.50-0.60-0.50 skewness 0.7-1.1-1.00 0.2 0.9 1.30 1.40 0.40 0.10 sub-region 10 mean 424.0 7.2 3.48 222.0 0.95 0.43 1.30 0.21 0.95 (northern - Jura) SD 92.0 0.5 1.10 67.0 0.33 0.42 1.10 0.12 0.52 GW (groundwater) median 441.0 7.4 3.20 209.0 0.83 0.13 0.83 0.17 0.86 n = 18 kurtosis -0.6 4.5-0.60-0.6 0.8-0.70-1.40 2.30 0.70 skewness 0.0-2.1 0.10-0.3 1.3 0.90 0.50 1.60 0.90 sub-region 11 mean 571.0 7.2 4.52 310.0 1.8 0.53 1.50 0.29 3.10 (western - Miedary) SD 113.0 0.1 0.43 41.0 0.9 0.41 1.40 0.19 2.70 GW (groundwater) median 573.0 7.2 4.45 306.4 1.4 0.50 1.00 0.19 1.70 n = 7 kurtosis -0.8-0.7-0.60 0.7 3.3-0.10-2.30 0.30-1.30 skewness 0.3 0.0 0.40 0.3 1.8 0.20 0.20 1.30 0.70 sub-region 12 mean 1018.0 7.3 5.59 453.0 3.0 0.92 0.68 0.32 1.53 (western - own supplies) SD 194.0 0.1 0.07 31.0 2.1 0.77 0.57 0.19 1.11 GW (groundwater) median 1066.0 7.3 5.62 463.0 2.2 0.81 0.46 0.28 1.01 n = 6 kurtosis -2.5-1.6 0.70-1.8 5.5-1.40-1.10 4.60-1.60 skewness -0.3-0.4-1.30-0.6 2.3 0.50 0.90 2.00 0.90 * cond conductivity, alk alkalinity, - ness Rb Te Tl V sub-region 1 mean 0.19 2.7 8.2 1.0 0.22 0.21 1.7 0.01 0.24 (southern) SD 0.15 1.2 6.6 0.5 0.13 0.13 0.8 0.01 0.09 surface - springs median 0.17 2.4 5.4 1.0 0.20 0.18 1.6 0.01 0.24 n = 23 kurtosis 7.00 1.6 1.1 1.1-0.60 0.40 1.0-0.40 0.20 skewness 2.20 1.2 1.4 0.8 0.60 0.90 1.2 0.80 0.00 sub-region 2 mean 0.93 4.5 8.9 4.0 0.29 0.59 1.9 0.09 0.46 (Bedzin poviat) SD 0.31 0.7 2.8 1.4 0.06 0.15 0.3 0.07 0.15 surface - Czarna Przemsza median 0.83 4.4 8.5 3.9 0.29 0.57 1.9 0.06 0.41 S2

Supplement: Application of ICP-MS and various computational methods for drinking water quality assessment from the Silesian District (Southern Poland) Supplementary Table 1. The results - mean, standard deviation, median, kurtosis and skewness for all 12 groups of samples. Rb Te Tl V n = 6 kurtosis -1.70-1.2 3.8 1.3 1.70 2.90-0.4-1.50-1.90 skewness 0.30 0.1 1.8-0.9 0.30 1.60 0.5 0.70 0.60 sub-region 3 mean 1.40 8.9 6.8 4.9 0.18 3.40 1.7 0.59 0.49 (Bedzin poviat) SD 0.90 4.5 6.5 2.5 0.14 1.80 0.8 0.51 0.14 groundwater median 1.80 7.6 4.0 4.6 0.12 2.90 1.7 0.57 0.50 n = 14 kurtosis -1.70 1.7 3.3 2.7 2.10 0.90-0.5 0.60-0.40 skewness -0.40 1.5 1.7 1.1 1.50 1.20 0.5 0.80 0.00 sub-region 4 mean 1.70 6.0 9.3 2.7 0.39 2.40 2.1 0.82 0.18 (Dabrowa) SD 0.10 2.9 7.3 1.2 0.28 1.10 0.9 0.48 0.07 groundwater median 1.70 5.2 6.0 3.4 0.34 2.20 1.6 0.86 0.15 n = 10 kurtosis 1.80 6.8 0.5-2.2 0.50 2.00 1.1-2.20 0.60 skewness 0.10 2.4 1.2-0.4 1.20 1.40 1.6-0.10 1.40 sub-region 5 mean 0.30 2.9 6.2 1.8 0.23 0.26 1.7 0.01 0.28 (Central: Goczalkowice) SD 0.11 1.2 4.8 0.4 0.09 0.18 0.7 0.01 0.15 surface - reservoirs median 0.26 2.6 4.9 1.8 0.22 0.20 1.7 0.01 0.24 n = 18 kurtosis 1.90 1.9 9.8 0.8 4.00 4.80-0.9 7.80 10.00 skewness 1.50 1.5 2.7 0.9 1.30 2.10 0.4 2.60 2.90 sub-region 6 mean 0.36 3.3 9.3 2.0 0.30 0.24 1.7 0.02 0.25 (Central: Go-Cza - Murcki) SD 0.25 1.7 6.5 0.5 0.10 0.13 0.8 0.02 0.12 surface - reservoirs median 0.29 2.9 6.9 1.9 0.20 0.21 1.6 0.01 0.24 n = 40 kurtosis 7.90 1.7 0.6 3.2 1.50 3.70-0.3 1.60 5.60 skewness 2.60 1.3 1.3 0.8 1.20 1.60 0.6 1.50 2.00 sub-region 7 mean 0.39 3.7 10 2.1 0.27 0.27 1.8 0.01 0.27 (Central: Go-Cza - Mikolow) SD 0.22 2.2 5.8 0.7 0.12 0.24 0.6 0.01 0.10 surface - reservoirs median 0.35 3.2 7.6 1.9 0.24 0.22 1.7 0.01 0.27 n = 16 kurtosis 1.20 7.3-0.1 0.0-0.10 3.00-0.9 2.00-1.20 skewness 1.20 2.5 0.9 0.5 0.60 1.70 0.4 1.40 0.30 sub-region 8 mean 0.86 4.5 7.9 2.5 0.34 1.30 2.1 0.14 0.29 (Maczki) SD 0.29 1.7 7.2 1.1 0.29 0.60 0.8 0.12 0.13 surface - ala Przemsza median 0.78 3.7 4.6 2.0 0.20 1.10 1.8 0.09 0.29 n = 16 kurtosis -0.80 0.6 1.2 0.2 2.20-0.40-0.2-0.10-0.30 skewness 0.60 1.2 1.6 1.1 1.80 0.70 0.7 1.10 0.10 sub-region 9 mean 0.52 3.6 7.4 1.9 0.18 0.56 2.1 0.05 0.24 (biela+kozlowa Gora) SD 0.31 0.8 5.5 0.5 0.16 0.36 0.7 0.04 0.08 ground+surface water median 0.41 3.9 6.2 2.0 0.13 0.44 2.1 0.04 0.25 n = 27 kurtosis 5.00-1.0 3.0 0.0 10.80 0.60-0.6 1.50 0.20 skewness 2.10-0.2 1.7-0.1 3.00 1.00 0.3 1.40 0.10 sub-region 10 mean 0.35 4.2 8.4 1.7 0.14 1.00 1.3 0.02 0.28 (northern - Jura) SD 0.24 1.4 5.0 1.3 0.07 0.70 0.5 0.02 0.20 groundwater median 0.29 4.6 8.2 1.1 0.12 0.80 1.2 0.02 0.25 n = 18 kurtosis 2.20-1.3 4.5-1.1 0.92 1.70-0.7 5.80 0.20 skewness 1.50-0.1 1.5 0.8 1.10 1.40 0.8 2.30 0.80 sub-region 11 mean 1.40 6.2 9.9 2.4 0.22 3.10 2.4 0.10 0.52 (western - Miedary) SD 0.90 3.8 6.8 0.8 0.20 2.60 1.1 0.09 0.23 groundwater median 1.10 4.9 9.3 1.9 0.13 2.00 1.8 0.05 0.51 n = 7 kurtosis -0.73-0.8 0.9 1.1-1.90 3.80-1.1-1.10 1.50 skewness 0.97 0.9 1.0 1.4 0.50 1.90 0.9 0.70 1.20 sub-region 12 mean 0.45 6.6 7.6 4.7 0.20 1.90 2.2 0.14 0.64 (western - own supplies) SD 0.30 2.1 2.6 2.4 0.08 1.40 0.5 0.14 0.32 groundwater median 0.38 6.7 8.6 4.5 0.16 2.00 2.1 0.14 0.61 n = 6 kurtosis 2.00 1.8-1.5 2.7-1.40-2.50 0.1-2.80 0.01 skewness 1.30-0.6-0.7 1.4 0.90 0.10 0.1 0.00 0.75 S3

R. Skorek et al. Supplemetary Table 2. Pearson correlation coefficients for all sub-regions. * s-r 1 s-r 2 s-r 3 s-r 4 s-r 5 s-r 6 s-r 7 s-r 8 s-r 9 s-r10 s-r11 s-r12 V Tl Te cond ** 0.95 0.96 0.91 alk 0.92 0.66 0.96 0.86 0.84 0.73 Co 0.96 0.74 0.73 0.84 0.87 0.72 0.74 0.65-0.67 0.98 0.97 0.81 0.81 0.80 Rb 0.88-0.65 0.88 0.72 0.84 Te 0.94-0.82 Tl 0.96 0.58-0.77 cond 0.82 0.71 0.74 alk 0.85 1.00 0.72 Co 0.96 0.77-0.67 0.83 0.96 0.86 0.93 0.76 0.69 Rb 0.78 0.79 0.86 0.73-0.64 0.89 0.68 0.95 Te 0.69-0.67-0.65-0.82 cond -0.90 alk -0.65 0.94 0.69 0.80 0.94 0.79 0.89 0.87 0.77 0.90-0.73-0.92-0.71 Co -0.81 0.67-0.75 0.66 0.83-0.96 Rb -0.71-0.83 0.89-0.81 cond 0.70 0.66 alk -0.67 0.71 0.66-0.70 0.67 0.73 0.87 0.73-0.68 0.72 0.72 0.77 S4 S4

Supplement: Application of ICP-MS and various computational methods for drinking water quality assessment from the Silesian District (Southern Poland) Supplemetary Table 2. Pearson correlation coefficients for all sub-regions. * s-r 1 s-r 2 s-r 3 s-r 4 s-r 5 s-r 6 s-r 7 s-r 8 s-r 9 s-r10 s-r11 s-r12 Rb Co 0.80 0.83 0.84 0.76 0.67 0.70 0.77 0.67 0.72 0.89 0.81 Rb 0.72 0.66 0.80 0.73 0.73 0.74-0.79 cond 0.78 0.66 alk 0.72 0.72 0.83 0.66 Co 0.79 0.74-0.70 0.78 0.75 0.89 0.94 0.80 Rb 0.75 0.79-0.68 cond 0.85 0.85 0.79 alk 0.66 0.81 0.78 0.84 0.78 0.89 0.75 0.80 Co 0.92 0.82 0.92 0.98 0.60 0.73 0.93 0.78 0.96 0.97 0.80 cond 0.76 alk 0.94 0.68 0.76 0.74 0.88 0.83 Co 0.79 0.65 0.89-0.87 0.73 cond 0.90 0.77 0.82 alk 0.66 0.70 0.92 0.73 0.75 0.75 Co 0.99 0.84 0.94 0.78 0.99 0.74 S5 S5

R. Skorek et al. Supplemetary Table 2. Pearson correlation coefficients for all sub-regions. Co * s-r 1 s-r 2 s-r 3 s-r 4 s-r 5 s-r 6 s-r 7 s-r 8 s-r 9 s-r10 s-r11 s-r12 cond 0.90 0.69 0.74 alk -0.69-0.73 0.96-0.72 0.73 Co 0.99 0.91-0.66 0.88 cond 0.85-0.69-0.71 alk -0.78 0.65 0.77-0.66-0.83 0.89 Co 0.91 0.72 0.66 cond 0.85 0.78 0.67 alk 0.79 0.70 0.95 0.99 0.82 0.76 0.78 cond 0.74 alk 0.66 0.89 0.84 0.76 cond 0.81 0.68 0.71-0.73-0.75 0.70 alk -0.66 0.86 cond 0.84 alk -0.73 *s-r sub-region. ness. cond conductivity. alk - alkalinity ** - all values below 0.65 were omitted S6