About: Principal Component Analysis of Hydrological Data

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Description	In this chapter the principals and applications of principal component analysis (PCA) applied on hydrological data are presented. Four case studies showed the possibility of PCA to obtain information about wastewater treatment process, drinking water quality in a city network and to find similarities in the data sets of ground water quality results and water-related images. In the first case study, the composition of raw and cleaned wastewater was characterised and its temporal changes were displayed. In the second case study, drinking water samples were divided into clusters in consistency with their sampling localities. In the case study III, the similar samples of ground water were recognised by the calculation of cosine similarity, the Euclidean and Manhattan distances. In the case study IV, 32 water-related images were transformed into a large image matrix whose dimensionality was reduced by PCA. The images were clustered using the PCA scatter plots In this chapter the principals and applications of principal component analysis (PCA) applied on hydrological data are presented. Four case studies showed the possibility of PCA to obtain information about wastewater treatment process, drinking water quality in a city network and to find similarities in the data sets of ground water quality results and water-related images. In the first case study, the composition of raw and cleaned wastewater was characterised and its temporal changes were displayed. In the second case study, drinking water samples were divided into clusters in consistency with their sampling localities. In the case study III, the similar samples of ground water were recognised by the calculation of cosine similarity, the Euclidean and Manhattan distances. In the case study IV, 32 water-related images were transformed into a large image matrix whose dimensionality was reduced by PCA. The images were clustered using the PCA scatter plots (en)
Title	Principal Component Analysis of Hydrological Data Principal Component Analysis of Hydrological Data (en)
skos:prefLabel	Principal Component Analysis of Hydrological Data Principal Component Analysis of Hydrological Data (en)
skos:notation	RIV/61989100:27360/11:10225343!RIV12-MSM-27360___
http://linked.open...avai/predkladatel	Fakulta metalurgie a materiálového inženýrství
http://linked.open...avai/riv/aktivita	N
http://linked.open...avai/riv/aktivity	N
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Praus, Petr
http://linked.open.../riv/druhVysledku	C - Kapitola v knize
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta metalurgie a materiálového inženýrství
http://linked.open...dnocenehoVysledku	223422
http://linked.open...ai/riv/idVysledku	RIV/61989100:27360/11:10225343
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Principal component, component loading, scatter plot, singular value decomposition, scree plot, clustering, water quality. (en)
http://linked.open.../riv/klicoveSlovo	clustering Principal component component loading scatter plot scree plot singular value decomposition water quality.
http://linked.open...ontrolniKodProRIV	[46CEA042A290]
http://linked.open...i/riv/mistoVydani	Hershey, Pennsylvania
http://linked.open...vEdiceCisloSvazku	Hanbook
http://linked.open...i/riv/nazevZdroje	Handbook of Research on Hydroinformatics: Technologies, Theories and Applications
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...v/pocetStranKnihy	520 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Praus, Petr
number of pages	25 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IGI Global
https://schema.org/isbn	978-1-61520-907-1
http://localhost/t...ganizacniJednotka	27360
is http://linked.open...avai/riv/vysledek of	Principal Component Analysis of Hydrological Data Principal Component Analysis of Hydrological Data

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