Application of information theory for analyzing high-frequency environmental monitoring data from a coastal industrial park

Ta Kang Liu, Jin Li Yu, Hwung Hweng Hwung, Ping Sheng Wei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The nearshore water body, particularly in estuarine area, is an important interface for transporting land-based contaminants into the coastal ocean. This estuarine area is a very productive ecosystem due to its abundant organic matters, nutrients, and diverse biota. Estuarine water quality can be significantly affected by the tidal cycles due to the discharge of land-based pollutants from waterways to coastal area during ebb tides. A semi-continuous water quality monitoring system was installed in Yunlin Offshore Industrial Park (YOIP), the largest industrial park in Taiwan, since 2006 to provide real-time water quality information such as pH, ORP, water depth, dissolved oxygen, temperature, turbidity, conductivity, and chlorophyll. To interpret the large quantities of high-frequency data generated by this system, information theory was applied for data processing sand extraction of useful information for further coastal water quality management. Shannon entropy and Fisher information were calculated in this study to explore their applicability for signaling possible coastal pollution events in the YOIP. Results showed that Shannon entropy is a better indication than the raw monitoring data, especially for turbidity and salinity. When Shannon entropy was higher, multiple instable turbidity readings were observed. We conclude that these information contents may be a useful new tool for exploratory data analysis to signify some episodes of water quality degradation.

Original languageEnglish
Title of host publicationThe Proceedings of the 19th (2009) International OFFSHORE AND POLAR ENGINEERING CONFERENCE
Pages518-522
Number of pages5
Publication statusPublished - 2009 Dec 1
Event19th (2009) International OFFSHORE AND POLAR ENGINEERING CONFERENCE - Osaka, Japan
Duration: 2009 Jun 212009 Jun 26

Publication series

NameProceedings of the International Offshore and Polar Engineering Conference
ISSN (Print)1098-6189
ISSN (Electronic)1555-1792

Other

Other19th (2009) International OFFSHORE AND POLAR ENGINEERING CONFERENCE
CountryJapan
CityOsaka
Period09-06-2109-06-26

Fingerprint

Information theory
Water quality
Turbidity
Monitoring
Entropy
Tides
Quality management
Chlorophyll
Dissolved oxygen
Biological materials
Ecosystems
Nutrients
Water
Pollution
Sand
Impurities
Degradation
Temperature

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Mechanical Engineering
  • Ocean Engineering

Cite this

Liu, T. K., Yu, J. L., Hwung, H. H., & Wei, P. S. (2009). Application of information theory for analyzing high-frequency environmental monitoring data from a coastal industrial park. In The Proceedings of the 19th (2009) International OFFSHORE AND POLAR ENGINEERING CONFERENCE (pp. 518-522). (Proceedings of the International Offshore and Polar Engineering Conference).
Liu, Ta Kang ; Yu, Jin Li ; Hwung, Hwung Hweng ; Wei, Ping Sheng. / Application of information theory for analyzing high-frequency environmental monitoring data from a coastal industrial park. The Proceedings of the 19th (2009) International OFFSHORE AND POLAR ENGINEERING CONFERENCE. 2009. pp. 518-522 (Proceedings of the International Offshore and Polar Engineering Conference).
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abstract = "The nearshore water body, particularly in estuarine area, is an important interface for transporting land-based contaminants into the coastal ocean. This estuarine area is a very productive ecosystem due to its abundant organic matters, nutrients, and diverse biota. Estuarine water quality can be significantly affected by the tidal cycles due to the discharge of land-based pollutants from waterways to coastal area during ebb tides. A semi-continuous water quality monitoring system was installed in Yunlin Offshore Industrial Park (YOIP), the largest industrial park in Taiwan, since 2006 to provide real-time water quality information such as pH, ORP, water depth, dissolved oxygen, temperature, turbidity, conductivity, and chlorophyll. To interpret the large quantities of high-frequency data generated by this system, information theory was applied for data processing sand extraction of useful information for further coastal water quality management. Shannon entropy and Fisher information were calculated in this study to explore their applicability for signaling possible coastal pollution events in the YOIP. Results showed that Shannon entropy is a better indication than the raw monitoring data, especially for turbidity and salinity. When Shannon entropy was higher, multiple instable turbidity readings were observed. We conclude that these information contents may be a useful new tool for exploratory data analysis to signify some episodes of water quality degradation.",
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Liu, TK, Yu, JL, Hwung, HH & Wei, PS 2009, Application of information theory for analyzing high-frequency environmental monitoring data from a coastal industrial park. in The Proceedings of the 19th (2009) International OFFSHORE AND POLAR ENGINEERING CONFERENCE. Proceedings of the International Offshore and Polar Engineering Conference, pp. 518-522, 19th (2009) International OFFSHORE AND POLAR ENGINEERING CONFERENCE, Osaka, Japan, 09-06-21.

Application of information theory for analyzing high-frequency environmental monitoring data from a coastal industrial park. / Liu, Ta Kang; Yu, Jin Li; Hwung, Hwung Hweng; Wei, Ping Sheng.

The Proceedings of the 19th (2009) International OFFSHORE AND POLAR ENGINEERING CONFERENCE. 2009. p. 518-522 (Proceedings of the International Offshore and Polar Engineering Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Liu TK, Yu JL, Hwung HH, Wei PS. Application of information theory for analyzing high-frequency environmental monitoring data from a coastal industrial park. In The Proceedings of the 19th (2009) International OFFSHORE AND POLAR ENGINEERING CONFERENCE. 2009. p. 518-522. (Proceedings of the International Offshore and Polar Engineering Conference).