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Title:Chemometric characterisation of the quality of ground waters from different wells in Slovenia
Authors:Vončina, Ernest (Author)
Brodnjak-Vončina, Darinka (Author)
Sovič, Nataša (Author)
Novič, Marjana (Author)
Files:.pdf Acta_Chimica_Slovenica_2007_Voncina_et_al._Chemometric_characterisation_of_the_quality_of_ground_waters_from_different_wells_in_Slovenia.pdf (390,30 KB)
MD5: E6304FF93929EBA9323E4BC82CBC2B80
 
URL http://acta-arhiv.chem-soc.si/54/54-1-119.pdf
 
Language:English
Work type:Scientific work (r2)
Typology:1.01 - Original Scientific Article
Organization:FKKT - Faculty of Chemistry and Chemical Engineering
Abstract:The quality of ground water as a source of drinking water in Slovenia is regularly monitored. One of the monitoring programmes is performed on 5 wells for drinking water supply, 3 industrial wells and 2 ground water monitoring wells. Two hundred and fourteen samples of ground waters were analysed in the time 2003-2004. Samples were gathered from ten different sampling sites and physical chemical measurements were performed. The following 13 physical chemical parameters were regularly controlled: temperature, pH, conductivity, nitrate, AOX (adsorbable organic halogens), metals such as chromium, pesticides (desethyl atrazine, atrazine and 2,6-dichlorobenzamide), highly-volatile halogenated hydrocarbons (trichlorometane, 1,1,2,2-tetrachloroethene and 1,1,2-trichloroethene). For handling the results different chemometrics methods were employed, such as basic statistical methods for the determination of mean and median values, standard deviations, minimal and maximal values of measured parameters and their mutual correlation coefficients, cluster analysis (CA), the principal component analysis (PCA), the clustering method based on Kohonen neural network, and linear discriminant analysis (LDA). The study gives the opportunity to follow the quality of ground waters at different sampling sites within the defined time period. Monitoring of general pollution of ground waters and following measuring can be used to search the pollution source, to plan prevention measures and to protect from pollution, as well.
Keywords:ground waters, water quality, principal component analysis, classification, Kohonen neural networks
Year of publishing:2007
Number of pages:str. 119-125
Numbering:št. 1, Letn. 54
ISSN:1318-0207
UDC:543:004.8
ISSN on article:1318-0207
COBISS_ID:11161110 New window
NUK URN:URN:SI:UM:DK:YCB7USQB
Views:1390
Downloads:104
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Record is a part of a journal

Title:Acta Chimica Slovenica
Shortened title:Acta Chim. Slov.
Publisher:Slovensko kemijsko društvo
ISSN:1318-0207
COBISS.SI-ID:14086149 New window

Document is financed by a project

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project no.:P2-0006
Name:Fizikalno-kemijski pojavi na površinskih plasteh in sinteza ter uporaba nanodelcev

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:21.12.2015

Secondary language

Language:Slovenian
Abstract:V Sloveniji spremljamo kakovost podzemne vode na številnih mestih, saj je podzemna voda pomemben vir pitne vode. Kot vir podatkov za kemometrično obdelavo smo izbrali monitoring v katerem je vključeno 5 vodnjakov, ki so namenjeni za oskrbo s pitno vodo, 3 industrijski vodnjaki in 2 kontrolni vrtini. Opravili smo analizo 214 vzorcev podzemnih vod v letih 2003 in 2004. Vzorce smo odvzeli na omenjenih desetih merilnih mestih in opravili fizikalne in kemijske analize. Fizikalno kemijske preiskave vključujejo merjenje naslednjih 13 parametrov, ki so podlaga za oceno kemijskega stanja podzemnih vod: pH vrednost, temperatura vode, električna prevodnost, vsebnost nitrata, vsebnost adsorbljivih organskih halogenov (AOX), vsebnost Cr(VI) in skupnega kroma, vsebnost pesticidov kot so desetil atrazin, atrazin in 2,6-diklorobenzamid, ter vsebnost halogeniranih ogljikovodikov kot so triklorometan, 1,1,2,2-tetrakloroeten in 1,1,2-trikloroeten. Za obdelavo rezultatov meritev smo uporabili različne kemometrične metode, osnovne statistične metode za določitev povprečne vrednosti in mediane, standardnih odmikov, minimalnih in maksimalnih vrednosti merjenih parametrov in njihovih medsebojnih korelacijskih koeficientov, analizo grup (CA), metodo glavnih osi (PCA), metodo grupiranja, ki temelji na Kohonenovih nevronskih mrežah in metodo linearne diskriminantne analize (LDA). Z metodo glavnih osi in s Kohonenovimi nevronskimi mrežami smo poizkusili poiskati podobnosti med posameznimi merilnimi mesti. Študija daje možnost, da sledimo kakovost podzemne vode na posameznih merilnih mestih in v določenem časovnem obdobju. Časovno sleditev splošnega onesnaženja podzemnih vod ter rezultatov posameznih merjenih parametrov, ki presegajo dovoljene meje, lahko uporabimo za iskanje vzrokov onesnaženja in za načrtovanje preventivnih ukrepov za zaščito pred onesnaženjem.
Keywords:podzemne vode, kvaliteta vode, kemometrija, metoda glavnih osi, klasifikacija, Kohonenove nevronske mreže


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