Abstract—Floods can be predicted with some notice and their
death toll is reduced compared to other disasters (i.e.,
earthquakes or cyclones). Nevertheless, their negative aftermath
(e.g., transport limitations, agricultural damage, water pollution,
disease spreading, and effects on the people’s mental health) are
inescapable. This paper explored the potential of meteorological
observations and enhanced data manipulation to support
warning systems based on a database approach. We also focused
on the development of a visualization platform to support time
series data properties. The investigation emphasized that
database-oriented work is adequate for relational spatial data
storage and active operational mechanisms.
Index Terms—Database, monitoring system, rainfall, spatial
data infrastructure.
P. Limlahapun is with the Fellow of the Japan Society for the Promotion
of Science, the International Digital Earth Applied Science Research Center,
Chubu University, 1200 Matsumoto-Cho, Kasugai, Aichi, Japan (e-mail:
thip.limlahapun@gmail.com).
H. Fukui is with the International Digital Earth Applied Science Research
Center, Chubu University, 1200 Matsumoto-Cho, Kasugai, Aichi, Japan
(e-mail: fukui@isc.chubu.ac.jp).
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Cite: Ponthip Limlahapun and Hiromichi Fukui, "An Enhanced Meteorological Observation System for Water-Related Disaster Assessment," International Journal of Future Computer and Communication vol. 4, no. 5, pp. 358-363, 2015.
