A visual causal exploration framework case study: A torrential rain and a flash flood in Kobe city

Jorji Nonaka, Naohisa Sakamoto, Yasumitsu Maejima, Kenji Ono, Koji Koyamada

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

Abstract

Extremeweather events, such as unexpected and sudden torrential rains, have received increasing attention by the specialists as well as ordinary people due to the possibility of causing severe material damages and human losses. Computational climate scientists have been working on high-resolution time-varying, multivariate numerical simulations of this kind of short-term event, which is still hard to predict. Local governments of the natural disaster prone countries, like Japan, usually possess disaster management sectors, responsible for storing the disaster related data and analysis results. In this paper, we present a visualization framework for enabling the interactive exploration of the causality, such as of the disasters and the related extreme weather events. The end users will be able to identify the spatio-temporal regions where there is a strong strength of cause-effect relationships. As a case study, we studied the unexpected torrential rain occurred in the city of Kobe, in 2008, where a flash flood, in the urban area, caused some human losses. We utilized high-resolution computational climate simulation results executed on a supercomputer, and the measured river level data obtained from the Civil Engineering Office of Kobe City. We expected that this kind of tool can assist the specialists for better understanding the cause-effect relationships between the extreme weather and the related disasters, as well as, the local government policy makers in the adaptation policies for the disaster risk reductions.

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2017 Symposium on Visualization, SA 2017
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450354110
DOIs
Publication statusPublished - Nov 27 2017
EventSIGGRAPH Asia 2017 Symposium on Visualization, SA 2017 - Bangkok, Thailand
Duration: Nov 27 2017Nov 30 2017

Publication series

NameSIGGRAPH Asia 2017 Symposium on Visualization, SA 2017

Other

OtherSIGGRAPH Asia 2017 Symposium on Visualization, SA 2017
CountryThailand
CityBangkok
Period11/27/1711/30/17

Fingerprint

Disasters
Rain
Supercomputers
Civil engineering
Visualization
Rivers
Computer simulation

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Nonaka, J., Sakamoto, N., Maejima, Y., Ono, K., & Koyamada, K. (2017). A visual causal exploration framework case study: A torrential rain and a flash flood in Kobe city. In SIGGRAPH Asia 2017 Symposium on Visualization, SA 2017 [3139313] (SIGGRAPH Asia 2017 Symposium on Visualization, SA 2017). Association for Computing Machinery, Inc. https://doi.org/10.1145/3139295.3139313

A visual causal exploration framework case study : A torrential rain and a flash flood in Kobe city. / Nonaka, Jorji; Sakamoto, Naohisa; Maejima, Yasumitsu; Ono, Kenji; Koyamada, Koji.

SIGGRAPH Asia 2017 Symposium on Visualization, SA 2017. Association for Computing Machinery, Inc, 2017. 3139313 (SIGGRAPH Asia 2017 Symposium on Visualization, SA 2017).

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

Nonaka, J, Sakamoto, N, Maejima, Y, Ono, K & Koyamada, K 2017, A visual causal exploration framework case study: A torrential rain and a flash flood in Kobe city. in SIGGRAPH Asia 2017 Symposium on Visualization, SA 2017., 3139313, SIGGRAPH Asia 2017 Symposium on Visualization, SA 2017, Association for Computing Machinery, Inc, SIGGRAPH Asia 2017 Symposium on Visualization, SA 2017, Bangkok, Thailand, 11/27/17. https://doi.org/10.1145/3139295.3139313
Nonaka J, Sakamoto N, Maejima Y, Ono K, Koyamada K. A visual causal exploration framework case study: A torrential rain and a flash flood in Kobe city. In SIGGRAPH Asia 2017 Symposium on Visualization, SA 2017. Association for Computing Machinery, Inc. 2017. 3139313. (SIGGRAPH Asia 2017 Symposium on Visualization, SA 2017). https://doi.org/10.1145/3139295.3139313
Nonaka, Jorji ; Sakamoto, Naohisa ; Maejima, Yasumitsu ; Ono, Kenji ; Koyamada, Koji. / A visual causal exploration framework case study : A torrential rain and a flash flood in Kobe city. SIGGRAPH Asia 2017 Symposium on Visualization, SA 2017. Association for Computing Machinery, Inc, 2017. (SIGGRAPH Asia 2017 Symposium on Visualization, SA 2017).
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