Wide-Area River-Water Quality Analysis and Visualization with 5D World Map System

Chalisa Veesommai, Yasushi Kiyoki, Shiori Sasaki, Petchporn Chawakitchareon

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

4 Citations (Scopus)


This paper presents the analysis and visualization of river-water quality in 25 rivers in Thailand by using 5D World Map system. Water pollution is analyzed by using Water Quality Index (WQI) and Metal Index (MI) which focus on Ping, Nan and Chao Phraya River (the important rivers of Thai). The WQI indicator was used to evaluate water quality by conductivity, NO3-N, NO2-N, NH3-N, Cd, Cr, Mn, Ni, Pb, Zn and As. The MI indicator was used to estimate concentration of metal in the river. The results on 5D World Map System show that several actual values assigned to water-quality parameters are shown in snapshots. The results of Water Quality Index (WQI) show the WQI levels 32.697 at Chaophraya river (Bangkok, 2004) and 38.534 at Ping river (Nakhonsawan, 2014) for Irrigation and Aquatic life respectively, and can be classified into categories of quality-levels for Irrigation and Aquatic life. The results of Metal Index (MI) show that the MI level reaches 92.902 at Ping River (Nakhonsawan, 2014) and 1803.303 at Ping River (Nakhonsawan, 2014) for Irrigation and Aquatic life respectively.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXVII
EditorsTatjana Welzer, Yasushi Kiyoki, Naofumi Yoshida, Giuseppe Riva, Brenda K. Wiederhold, Mark D. Wiederhold, Bernhard Thalheim, Hannu Jaakkola
PublisherIOS Press
Number of pages11
ISBN (Electronic)9781614996101
Publication statusPublished - 2016

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389


  • 5D World Map System
  • WQI and MI
  • Water Quality

ASJC Scopus subject areas

  • Artificial Intelligence


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