The rSPA Processes of River Water-quality Analysis System for Critical Contaminate Detection, Classification Multiple-water-quality-parameter Values and Real-time Notification

  • Chalisa VEESOMMAI Graduate School of Media and Governance, Keio University
  • Yasushi KIYOKI Graduate School of Media and Governance, Keio University


The water quality analysis is one of the most important aspects of designing environmental systems. It is necessary to realize detection and classification processes and systems for water quality analysis. The important direction is to lead to uncomplicated understanding for public utilization. This paper presents the river Sensing Processing Actuation processes (rSPA) for determination and classification of multiple-water- parameters in Chaophraya river. According to rSPA processes of multiple-water-quality-parameters, we find the pollutants of conductivity, salinity and total dissolved solid (TDS), which are accumulated from upstream to downstream. In several spots of the river, we have analyzed water quality in a maximum value of pollutants in term of oxidation-reduction potential (ORP). The first range effect of parameter is to express high to very high effects in term of dissolved oxygen, second is to express intermediate to very high effect in term of conductivity, third is to express low to very high effect in term of total dissolved solid, fourth is to express completely safe to very high effect in term of turbidity and the final is to express completely safe for effect in term of salinity.


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V. Chalisa, Y. Kiyoki and S. Sasaki, “A Multi-dimensional River-water Quality Analysis System for interpreting Environmental Situations†Proceedings of the 25th International Conference on Information Modelling and Knowledge Bases, Tampere Finland, ed. 1, p. 48-68.

Pollution Control Department, The Pollution Management Plan 2012-2016, Pollution Control Department: Ministry of Natural Resources and Environment, 2012.

V. Chalisa, Y. Kiyoki, S. Sasaki and C. Petchporn, Wide-Area River-Water Quality Analysis and Visualization with 5D World Map System, Information Molling and Knowledge Bases XXVII, Vol. 280, pp. 31-41, 2016.

JL. Badger, MF. Stins and K. Sik Kim, Citrobacter freundii invades and replicates in human brain micro vascular endothelial, Infect Immune, Vol. 67, pp. 4208-4215, 1999.

K. Todar, Online textbook of bacteriology, University of Wisconsin-Madison Department of Bacteriology, 2008.

US States Environmental Protection Agency, Water Quality Standards Handbook, Vol. 2, Washington, DC, 1994.

Authority of the Minister of Health, Guidelines for Canadian Drinking Water Quality, Authority of the Minister of Health, Canada, 2013.

M.F. Raisbeck, B.S. Riker, C.M. Tate, R. Jackson, M.A. Smite, K.J. Reddy and J.R. Zygmunt, Water Quality for Wyoming Livestock & Wildlife, University of Wyoming Department of Veterinary Science, 2008.

J.R. Self and R.M. Waskom, Nitrates in Drinking Water, Colorado State University Soils Testing Laboratory Manager; & Colorado State Extension water quality specialist; soil and crop sciences, no.0.517, 2013.

Y. Kiyoki and X. Chen, Contextual and Differential Computing for the Multi-dimensional World map with Spatial-Temporal and Semantic Axes, Information Modelling and Knowledge Bases (IOS Press), Vol. XXV, no 278 March 2014.

L. Li, Y. Qian, Y. Zhang, Developing water pollution accident emergency warning system for Chu River downstream basin, 4th international conference on Bioinformatics and Biomedical Engineering (ICBBE), vol. 4, pp. 1-6, 2010

L. Nan, F. Zetian, W. Boqi and Z. Xiaoshuan, FDEWS 2.0: A Web-GIS-Based Early Warning System for Fish Disease via Water Quality Management, Proceedings of the 6th World Congress on Intelligent Control and Automation, Vol. 1, pp. 2570-2574, 2006.

Veesommai C. and Kiyoki Y. 2015. “River Water-quality Analysis: Critical Contaminate Detection, Classification of Multiple-water-quality-parameters Values and Real-time Notification by rSPA†Processes†International Electronics Symposium (IES) co-sponsored IEEE Press, vol. 17 (2015), p. 212-217. 2015.

International Organization for Standardization, Water Quality Sampling Part 6: Guidelines for Sampling of Rivers and Streams (ISO 5667-6), 2nd ed., Switzerland, 2005.

Horiba Ltd. Multi-parameter Water Quality Checker U-50 series Instuction Munual, ed 1., Japan 2008.

J. Kibena, I Nhapi, W. Qumindoga, Assessing the relationship between water quality parameter and changes in landuse patterns in the Upper Manyame River, Zimbabwe, Physics and Chemistry of the Earth, Vol 67-69, pp. 153-163, 2014.

K. Intarukdach, S. Songprakhop, Water Quality Management Measures for Urban Areas, Wastewater Management Division, Pollution Control Department, Bangkok, Thailand, 2010.

Ministry of Natural Resource and Environment, The standard of water quality of water body in Thailand, Ministry of Natural Resource and Environment, Bangkok, Thailand, 1994.

R.S. Ayers and D.W. Westcon, Water Quality for Agriculture, Irrigation and Drainage, Food Agriculture Organization of the United Nations (FAO), 1994.

United States Environmental Protection Agent, Parameters of Water Quality Interpretation and Standards, Ireland, 2001.

Canadian Council of Ministers of the Environment, Canadian environmental quality guidelines, Canada, 2007.

N. Bharti and D. Katyal, Water quality indices used for surface water vulnerability assessment, Int. J. Environ. Sci. 2, vol 1, pp. 154-173, 2011.

New York State Department of Environmental, Interpretation Guidance for Marien Dissolved Oxygen (DO) Standard TOGS 1.1.6, Conservation, Albany, New York, 2015.

U.S. Enderlein, R.E. Enderlein, W. peter, Water Quality Requirement, United States Environmental Protection Agent, Washington, DC, 1996.

How to Cite
VEESOMMAI, C., & KIYOKI, Y. (2016). The rSPA Processes of River Water-quality Analysis System for Critical Contaminate Detection, Classification Multiple-water-quality-parameter Values and Real-time Notification. EMITTER International Journal of Engineering Technology, 4(1), 31-45.