Web-User-Interface System Utilizing rHMEI and Open Data for a Water Quality Analyzer

Pekka Sillberg; Chalisa Veesommai; Jari Soini; Hannu Jaakkola

doi:10.3233/978-1-61499-834-1-420

Web-User-Interface System Utilizing rHMEI and Open Data for a Water Quality Analyzer

Pekka Sillberg, Chalisa Veesommai, Jari Soini, Hannu Jaakkola

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

71 Downloads (Pure)

Abstract

A clean environment is often taken for granted, but when a river or a lake becomes polluted, it might be hard for the general public to verify the condition. A simple visualization tool for checking the condition of water could help to inform the public and help to increase environmental awareness. With the emergence of Open Data and other openly available data sources, it is possible to create new and innovative applications. In this paper we present a web-based tool for reviewing the quality of water by applying the River Heavy Metal Evaluation Index (rHMEI) method together with open data on water quality in Finland.

Original language	English
Title of host publication	Information Modelling and Knowledge Bases XXIX
Subtitle of host publication	June 5-9, 2017, Krabi, Thailand
Editors	V. Sornlertlamvanich, P. Chawakitchareon, A. Hansuebsai, C. Koopipat, B. Thalheim, Y. Kiyoki, H. Jaakkola, N. Yoshida
Publisher	IOS Press
Pages	420-428
Number of pages	8
ISBN (Electronic)	978-1-61499-834-1
ISBN (Print)	978-1-61499-833-4
DOIs	https://doi.org/10.3233/978-1-61499-834-1-420
Publication status	Published - Feb 2018
Publication type	A4 Article in conference proceedings
Event	International conference on information modelling and knowledge bases - Duration: 1 Jan 2000 → …

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Publisher	IOS Press
Volume	301
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Conference

Conference	International conference on information modelling and knowledge bases
Period	1/01/00 → …

Publication forum classification

Publication forum level 1

Access to Document

10.3233/978-1-61499-834-1-420

waterFinal published version, 319 KBLicence: CC BY-ND

http://urn.fi/URN:NBN:fi:tty-201712042302

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Sillberg, P., Veesommai, C., Soini, J., & Jaakkola, H. (2018). Web-User-Interface System Utilizing rHMEI and Open Data for a Water Quality Analyzer. In V. Sornlertlamvanich, P. Chawakitchareon, A. Hansuebsai, C. Koopipat, B. Thalheim, Y. Kiyoki, H. Jaakkola, & N. Yoshida (Eds.), Information Modelling and Knowledge Bases XXIX: June 5-9, 2017, Krabi, Thailand (pp. 420-428). (Frontiers in Artificial Intelligence and Applications; Vol. 301). IOS Press. https://doi.org/10.3233/978-1-61499-834-1-420

Sillberg, Pekka ; Veesommai, Chalisa ; Soini, Jari et al. / Web-User-Interface System Utilizing rHMEI and Open Data for a Water Quality Analyzer. Information Modelling and Knowledge Bases XXIX: June 5-9, 2017, Krabi, Thailand. editor / V. Sornlertlamvanich ; P. Chawakitchareon ; A. Hansuebsai ; C. Koopipat ; B. Thalheim ; Y. Kiyoki ; H. Jaakkola ; N. Yoshida. IOS Press, 2018. pp. 420-428 (Frontiers in Artificial Intelligence and Applications).

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abstract = "A clean environment is often taken for granted, but when a river or a lake becomes polluted, it might be hard for the general public to verify the condition. A simple visualization tool for checking the condition of water could help to inform the public and help to increase environmental awareness. With the emergence of Open Data and other openly available data sources, it is possible to create new and innovative applications. In this paper we present a web-based tool for reviewing the quality of water by applying the River Heavy Metal Evaluation Index (rHMEI) method together with open data on water quality in Finland.",

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Sillberg, P, Veesommai, C, Soini, J & Jaakkola, H 2018, Web-User-Interface System Utilizing rHMEI and Open Data for a Water Quality Analyzer. in V Sornlertlamvanich, P Chawakitchareon, A Hansuebsai, C Koopipat, B Thalheim, Y Kiyoki, H Jaakkola & N Yoshida (eds), Information Modelling and Knowledge Bases XXIX: June 5-9, 2017, Krabi, Thailand. Frontiers in Artificial Intelligence and Applications, vol. 301, IOS Press, pp. 420-428, International conference on information modelling and knowledge bases, 1/01/00. https://doi.org/10.3233/978-1-61499-834-1-420

Web-User-Interface System Utilizing rHMEI and Open Data for a Water Quality Analyzer. / Sillberg, Pekka; Veesommai, Chalisa; Soini, Jari et al.
Information Modelling and Knowledge Bases XXIX: June 5-9, 2017, Krabi, Thailand. ed. / V. Sornlertlamvanich; P. Chawakitchareon; A. Hansuebsai; C. Koopipat; B. Thalheim; Y. Kiyoki; H. Jaakkola; N. Yoshida. IOS Press, 2018. p. 420-428 (Frontiers in Artificial Intelligence and Applications; Vol. 301).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AB - A clean environment is often taken for granted, but when a river or a lake becomes polluted, it might be hard for the general public to verify the condition. A simple visualization tool for checking the condition of water could help to inform the public and help to increase environmental awareness. With the emergence of Open Data and other openly available data sources, it is possible to create new and innovative applications. In this paper we present a web-based tool for reviewing the quality of water by applying the River Heavy Metal Evaluation Index (rHMEI) method together with open data on water quality in Finland.

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Sillberg P, Veesommai C, Soini J , Jaakkola H. Web-User-Interface System Utilizing rHMEI and Open Data for a Water Quality Analyzer. In Sornlertlamvanich V, Chawakitchareon P, Hansuebsai A, Koopipat C, Thalheim B, Kiyoki Y, Jaakkola H, Yoshida N, editors, Information Modelling and Knowledge Bases XXIX: June 5-9, 2017, Krabi, Thailand. IOS Press. 2018. p. 420-428. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/978-1-61499-834-1-420

Web-User-Interface System Utilizing rHMEI and Open Data for a Water Quality Analyzer

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