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

Chalisa Veesommai, Yasushi Kiyoki, Shiori Sasaki, Petchporn Chawakitchareon

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXVII
編集者Tatjana Welzer, Yasushi Kiyoki, Naofumi Yoshida, Giuseppe Riva, Brenda K. Wiederhold, Mark D. Wiederhold, Bernhard Thalheim, Hannu Jaakkola
出版社IOS Press
ページ31-41
ページ数11
ISBN(電子版)9781614996101
DOI
出版ステータスPublished - 2016

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
280
ISSN(印刷版)0922-6389

ASJC Scopus subject areas

  • 人工知能

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