Interpretation of the results of surface water quality applying multivariate analysis/Interpretacija rezultata kvaliteta povrsinskih voda primenom multivarijalne analize
Monitoring of surface water, through the analysis of physical-chemical and chemical parameters, is a very important factor in the control of water quality and the health of living beings. The surface water quality is largely determined by the nature (atmospherics) and anthropogenic processes (discha...
Gespeichert in:
Veröffentlicht in: | Hemijska industrija 2015-01, p.29 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | 29 |
container_title | Hemijska industrija |
container_volume | |
creator | Matijevic, Borko M Vastag, Dendi D Becelic-Tomin, Milena R Dalmacija, Bozo D Apostolov, Suzana Lj |
description | Monitoring of surface water, through the analysis of physical-chemical and chemical parameters, is a very important factor in the control of water quality and the health of living beings. The surface water quality is largely determined by the nature (atmospherics) and anthropogenic processes (discharge of municipal and industrial wastewater). The results of monitoring of surface water are usually too expensive and difficult for correct interpretation, due to the spatial and temporal variations in water quality. The significant reductions of the ampleness of the available data and the better interpretation of the obtained results about the quality and ecological status/potential of water can be achieved by application of Multivariate Statistical Analysis. The selected results of the analysis of surface water in AP Vojvodina in 2011 were analyzed by using Multivariate Statistical Analysis (cluster analysis and principal components analysis) and represented in this paper. These techniques allow the interpretation of the results of the monitoring program of investigated surface water bodies and simultaneous identification of registered influence and potential sources of pollution on the quality of the given water bodies. The both methods are applied and the division of water bodies is tested in the same manner at the origin (natural and artificial) and on the basis of territorial belonging monitoring stations (Banat and Backa). Individual variations are discussed in corresponding differences in individual measuring stations in relation to others. By application of the given method, a grouping of the examined indicators of water quality in the following factors: hydro-chemical factor, ecological factor, the factor point pollution and diffusion have been obtained. The obtained results confirm the initial hypothesis that the use of different statistical methods can identify the main factors that have an impact on the ecological status and ecological potential of water bodies and can improve the existing monitoring. In addition, the analysis of the extracted surface water bodies can be applied in cases where it is necessary to implement simultaneous monitoring of the biological quality elements to determine whether chemical parameters can ensure the functioning of ecosystems. Keywords: Water quality * Multivarite analysis * Cluster analysis * Principal components analysis Monitoring povrsinskih voda predstavlja veoma bitan faktor u kontroli kvaliteta voda, a samim |
doi_str_mv | 10.2298/HEMIND131016015M |
format | Article |
fullrecord | <record><control><sourceid>gale</sourceid><recordid>TN_cdi_gale_infotracacademiconefile_A430394126</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A430394126</galeid><sourcerecordid>A430394126</sourcerecordid><originalsourceid>FETCH-gale_infotracacademiconefile_A4303941263</originalsourceid><addsrcrecordid>eNqVj7FOw0AMhm8AiQq6M_oF2uaSNDQjgqJ2KBMDG7JSp3V6uQt316D0jXhLXIHUGXuw_Pv_P8lK3etkmqblYrZabtavzzrTiS4SPd9cqVGSFQ-Tebl4v1HjEJpEKiuLvChH6nttI_nOU8TIzoKrIe4JPIWjieG8hqOvsSL4QjHC5xENxwGw68zAdget-LhHz3IGtGiGwGF2oVbcoOBOYsOIcOjPedGhc70PbMOB99C7rQieW7KuvSAbNPYXyie6U9c1mkDjv3mrpi_Lt6fVZIeGPtjWLnqspLfUcuUs1Sz6Y57Jr7lOi-zfgR8n8HFr</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Interpretation of the results of surface water quality applying multivariate analysis/Interpretacija rezultata kvaliteta povrsinskih voda primenom multivarijalne analize</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Free Full-Text Journals in Chemistry</source><creator>Matijevic, Borko M ; Vastag, Dendi D ; Becelic-Tomin, Milena R ; Dalmacija, Bozo D ; Apostolov, Suzana Lj</creator><creatorcontrib>Matijevic, Borko M ; Vastag, Dendi D ; Becelic-Tomin, Milena R ; Dalmacija, Bozo D ; Apostolov, Suzana Lj</creatorcontrib><description>Monitoring of surface water, through the analysis of physical-chemical and chemical parameters, is a very important factor in the control of water quality and the health of living beings. The surface water quality is largely determined by the nature (atmospherics) and anthropogenic processes (discharge of municipal and industrial wastewater). The results of monitoring of surface water are usually too expensive and difficult for correct interpretation, due to the spatial and temporal variations in water quality. The significant reductions of the ampleness of the available data and the better interpretation of the obtained results about the quality and ecological status/potential of water can be achieved by application of Multivariate Statistical Analysis. The selected results of the analysis of surface water in AP Vojvodina in 2011 were analyzed by using Multivariate Statistical Analysis (cluster analysis and principal components analysis) and represented in this paper. These techniques allow the interpretation of the results of the monitoring program of investigated surface water bodies and simultaneous identification of registered influence and potential sources of pollution on the quality of the given water bodies. The both methods are applied and the division of water bodies is tested in the same manner at the origin (natural and artificial) and on the basis of territorial belonging monitoring stations (Banat and Backa). Individual variations are discussed in corresponding differences in individual measuring stations in relation to others. By application of the given method, a grouping of the examined indicators of water quality in the following factors: hydro-chemical factor, ecological factor, the factor point pollution and diffusion have been obtained. The obtained results confirm the initial hypothesis that the use of different statistical methods can identify the main factors that have an impact on the ecological status and ecological potential of water bodies and can improve the existing monitoring. In addition, the analysis of the extracted surface water bodies can be applied in cases where it is necessary to implement simultaneous monitoring of the biological quality elements to determine whether chemical parameters can ensure the functioning of ecosystems. Keywords: Water quality * Multivarite analysis * Cluster analysis * Principal components analysis Monitoring povrsinskih voda predstavlja veoma bitan faktor u kontroli kvaliteta voda, a samim tim i zdravlja zivih bica. Kvalitet povrsinskih voda u velikoj meri odreden je prirodnim i antropogenim procesima. Dobijeni rezultati monitoringa povrsinskih voda zbog prostornih i vremenskih varijacija kvaliteta su suvise obimni za njihovo pojedinacno tumacenje. Primenom multivarijalne statisticke analize moze se postici znatna redukcija obimnosti raspolozivih podataka i omoguciti interpretacija dobijenih rezultata o kvalitetu i ekoloskom statusu/potencijalu voda. U ovom radu su primenom multivarijalne statisticke analize (klaster analiza i analiza glavnih komponenti) obradeni odabrani rezultati analiza povrsinskih voda na teritoriji AP Vojvodine u toku 2011. godine. Ove tehnike omogucavaju interpretaciju rezultata monitoring programa kvaliteta povrsinskih vodnih tela na teritoriji AP Vojvodine i istovremenu identifikaciju uticaja registrovanih i potencijalnih izvora zagadivanja na kvalitet datih vodnih tela. Kljucne reci: kvalitet voda, multivarijalna analiza, klaster analiza, analiza glavnih komponenti. Dostupno na Internetu sa adrese casopisa:</description><identifier>ISSN: 0367-598X</identifier><identifier>DOI: 10.2298/HEMIND131016015M</identifier><language>eng</language><publisher>Association of Chemical Engineers of Serbia</publisher><subject>Evaluation ; Multivariate analysis ; Water quality</subject><ispartof>Hemijska industrija, 2015-01, p.29</ispartof><rights>COPYRIGHT 2015 Association of Chemical Engineers of Serbia</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Matijevic, Borko M</creatorcontrib><creatorcontrib>Vastag, Dendi D</creatorcontrib><creatorcontrib>Becelic-Tomin, Milena R</creatorcontrib><creatorcontrib>Dalmacija, Bozo D</creatorcontrib><creatorcontrib>Apostolov, Suzana Lj</creatorcontrib><title>Interpretation of the results of surface water quality applying multivariate analysis/Interpretacija rezultata kvaliteta povrsinskih voda primenom multivarijalne analize</title><title>Hemijska industrija</title><description>Monitoring of surface water, through the analysis of physical-chemical and chemical parameters, is a very important factor in the control of water quality and the health of living beings. The surface water quality is largely determined by the nature (atmospherics) and anthropogenic processes (discharge of municipal and industrial wastewater). The results of monitoring of surface water are usually too expensive and difficult for correct interpretation, due to the spatial and temporal variations in water quality. The significant reductions of the ampleness of the available data and the better interpretation of the obtained results about the quality and ecological status/potential of water can be achieved by application of Multivariate Statistical Analysis. The selected results of the analysis of surface water in AP Vojvodina in 2011 were analyzed by using Multivariate Statistical Analysis (cluster analysis and principal components analysis) and represented in this paper. These techniques allow the interpretation of the results of the monitoring program of investigated surface water bodies and simultaneous identification of registered influence and potential sources of pollution on the quality of the given water bodies. The both methods are applied and the division of water bodies is tested in the same manner at the origin (natural and artificial) and on the basis of territorial belonging monitoring stations (Banat and Backa). Individual variations are discussed in corresponding differences in individual measuring stations in relation to others. By application of the given method, a grouping of the examined indicators of water quality in the following factors: hydro-chemical factor, ecological factor, the factor point pollution and diffusion have been obtained. The obtained results confirm the initial hypothesis that the use of different statistical methods can identify the main factors that have an impact on the ecological status and ecological potential of water bodies and can improve the existing monitoring. In addition, the analysis of the extracted surface water bodies can be applied in cases where it is necessary to implement simultaneous monitoring of the biological quality elements to determine whether chemical parameters can ensure the functioning of ecosystems. Keywords: Water quality * Multivarite analysis * Cluster analysis * Principal components analysis Monitoring povrsinskih voda predstavlja veoma bitan faktor u kontroli kvaliteta voda, a samim tim i zdravlja zivih bica. Kvalitet povrsinskih voda u velikoj meri odreden je prirodnim i antropogenim procesima. Dobijeni rezultati monitoringa povrsinskih voda zbog prostornih i vremenskih varijacija kvaliteta su suvise obimni za njihovo pojedinacno tumacenje. Primenom multivarijalne statisticke analize moze se postici znatna redukcija obimnosti raspolozivih podataka i omoguciti interpretacija dobijenih rezultata o kvalitetu i ekoloskom statusu/potencijalu voda. U ovom radu su primenom multivarijalne statisticke analize (klaster analiza i analiza glavnih komponenti) obradeni odabrani rezultati analiza povrsinskih voda na teritoriji AP Vojvodine u toku 2011. godine. Ove tehnike omogucavaju interpretaciju rezultata monitoring programa kvaliteta povrsinskih vodnih tela na teritoriji AP Vojvodine i istovremenu identifikaciju uticaja registrovanih i potencijalnih izvora zagadivanja na kvalitet datih vodnih tela. Kljucne reci: kvalitet voda, multivarijalna analiza, klaster analiza, analiza glavnih komponenti. Dostupno na Internetu sa adrese casopisa:</description><subject>Evaluation</subject><subject>Multivariate analysis</subject><subject>Water quality</subject><issn>0367-598X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNqVj7FOw0AMhm8AiQq6M_oF2uaSNDQjgqJ2KBMDG7JSp3V6uQt316D0jXhLXIHUGXuw_Pv_P8lK3etkmqblYrZabtavzzrTiS4SPd9cqVGSFQ-Tebl4v1HjEJpEKiuLvChH6nttI_nOU8TIzoKrIe4JPIWjieG8hqOvsSL4QjHC5xENxwGw68zAdget-LhHz3IGtGiGwGF2oVbcoOBOYsOIcOjPedGhc70PbMOB99C7rQieW7KuvSAbNPYXyie6U9c1mkDjv3mrpi_Lt6fVZIeGPtjWLnqspLfUcuUs1Sz6Y57Jr7lOi-zfgR8n8HFr</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Matijevic, Borko M</creator><creator>Vastag, Dendi D</creator><creator>Becelic-Tomin, Milena R</creator><creator>Dalmacija, Bozo D</creator><creator>Apostolov, Suzana Lj</creator><general>Association of Chemical Engineers of Serbia</general><scope/></search><sort><creationdate>20150101</creationdate><title>Interpretation of the results of surface water quality applying multivariate analysis/Interpretacija rezultata kvaliteta povrsinskih voda primenom multivarijalne analize</title><author>Matijevic, Borko M ; Vastag, Dendi D ; Becelic-Tomin, Milena R ; Dalmacija, Bozo D ; Apostolov, Suzana Lj</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-gale_infotracacademiconefile_A4303941263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Evaluation</topic><topic>Multivariate analysis</topic><topic>Water quality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Matijevic, Borko M</creatorcontrib><creatorcontrib>Vastag, Dendi D</creatorcontrib><creatorcontrib>Becelic-Tomin, Milena R</creatorcontrib><creatorcontrib>Dalmacija, Bozo D</creatorcontrib><creatorcontrib>Apostolov, Suzana Lj</creatorcontrib><jtitle>Hemijska industrija</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Matijevic, Borko M</au><au>Vastag, Dendi D</au><au>Becelic-Tomin, Milena R</au><au>Dalmacija, Bozo D</au><au>Apostolov, Suzana Lj</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interpretation of the results of surface water quality applying multivariate analysis/Interpretacija rezultata kvaliteta povrsinskih voda primenom multivarijalne analize</atitle><jtitle>Hemijska industrija</jtitle><date>2015-01-01</date><risdate>2015</risdate><spage>29</spage><pages>29-</pages><issn>0367-598X</issn><abstract>Monitoring of surface water, through the analysis of physical-chemical and chemical parameters, is a very important factor in the control of water quality and the health of living beings. The surface water quality is largely determined by the nature (atmospherics) and anthropogenic processes (discharge of municipal and industrial wastewater). The results of monitoring of surface water are usually too expensive and difficult for correct interpretation, due to the spatial and temporal variations in water quality. The significant reductions of the ampleness of the available data and the better interpretation of the obtained results about the quality and ecological status/potential of water can be achieved by application of Multivariate Statistical Analysis. The selected results of the analysis of surface water in AP Vojvodina in 2011 were analyzed by using Multivariate Statistical Analysis (cluster analysis and principal components analysis) and represented in this paper. These techniques allow the interpretation of the results of the monitoring program of investigated surface water bodies and simultaneous identification of registered influence and potential sources of pollution on the quality of the given water bodies. The both methods are applied and the division of water bodies is tested in the same manner at the origin (natural and artificial) and on the basis of territorial belonging monitoring stations (Banat and Backa). Individual variations are discussed in corresponding differences in individual measuring stations in relation to others. By application of the given method, a grouping of the examined indicators of water quality in the following factors: hydro-chemical factor, ecological factor, the factor point pollution and diffusion have been obtained. The obtained results confirm the initial hypothesis that the use of different statistical methods can identify the main factors that have an impact on the ecological status and ecological potential of water bodies and can improve the existing monitoring. In addition, the analysis of the extracted surface water bodies can be applied in cases where it is necessary to implement simultaneous monitoring of the biological quality elements to determine whether chemical parameters can ensure the functioning of ecosystems. Keywords: Water quality * Multivarite analysis * Cluster analysis * Principal components analysis Monitoring povrsinskih voda predstavlja veoma bitan faktor u kontroli kvaliteta voda, a samim tim i zdravlja zivih bica. Kvalitet povrsinskih voda u velikoj meri odreden je prirodnim i antropogenim procesima. Dobijeni rezultati monitoringa povrsinskih voda zbog prostornih i vremenskih varijacija kvaliteta su suvise obimni za njihovo pojedinacno tumacenje. Primenom multivarijalne statisticke analize moze se postici znatna redukcija obimnosti raspolozivih podataka i omoguciti interpretacija dobijenih rezultata o kvalitetu i ekoloskom statusu/potencijalu voda. U ovom radu su primenom multivarijalne statisticke analize (klaster analiza i analiza glavnih komponenti) obradeni odabrani rezultati analiza povrsinskih voda na teritoriji AP Vojvodine u toku 2011. godine. Ove tehnike omogucavaju interpretaciju rezultata monitoring programa kvaliteta povrsinskih vodnih tela na teritoriji AP Vojvodine i istovremenu identifikaciju uticaja registrovanih i potencijalnih izvora zagadivanja na kvalitet datih vodnih tela. Kljucne reci: kvalitet voda, multivarijalna analiza, klaster analiza, analiza glavnih komponenti. Dostupno na Internetu sa adrese casopisa:</abstract><pub>Association of Chemical Engineers of Serbia</pub><doi>10.2298/HEMIND131016015M</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0367-598X |
ispartof | Hemijska industrija, 2015-01, p.29 |
issn | 0367-598X |
language | eng |
recordid | cdi_gale_infotracacademiconefile_A430394126 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Free Full-Text Journals in Chemistry |
subjects | Evaluation Multivariate analysis Water quality |
title | Interpretation of the results of surface water quality applying multivariate analysis/Interpretacija rezultata kvaliteta povrsinskih voda primenom multivarijalne analize |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T08%3A47%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Interpretation%20of%20the%20results%20of%20surface%20water%20quality%20applying%20multivariate%20analysis/Interpretacija%20rezultata%20kvaliteta%20povrsinskih%20voda%20primenom%20multivarijalne%20analize&rft.jtitle=Hemijska%20industrija&rft.au=Matijevic,%20Borko%20M&rft.date=2015-01-01&rft.spage=29&rft.pages=29-&rft.issn=0367-598X&rft_id=info:doi/10.2298/HEMIND131016015M&rft_dat=%3Cgale%3EA430394126%3C/gale%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_galeid=A430394126&rfr_iscdi=true |