2022年度全国大会(第57回論文発表会)

Presentation information

Reports of CPIJ

reports02

Sun. Dec 4, 2022 1:00 PM - 2:30 PM 第III会場 (8号館 823教室)

司会:大門 創(國學院大學)

2:15 PM - 2:30 PM

[212] Predicting outflow ratios on rainfall estimation through the SPDE approach with R-INLA

A case study in ASAKAWA River basin flowing in the western part of Tokyo

○Toshio Kobayashi1, Sadatsugu Nishiura1, Keito Yamamoto2, Kazumasa Fujimura1 (1. Meisei University, 2. kiso-jiban Consultants Co.,Ltd.)

Keywords:Rainfall estimation, Outflow ratio, Geostatistical approach, SPDE, INLA

Geostatistical models of rainfall estimation can be applied to estimate amount of rainfall in a particular region. Since conventional computer-based models such as metrological model and storage function model carry unknown parametrical errors, geostatistical approach may then be useful to explore more enclosed region. This paper describes an application of SPDE with R-INLA to rainfall estimation and outflow ratios of ASAKAWA River basin. Our conclusion is that since recent global climate change causes disastrous amount of rainfall in short period of time, urban planning approach with infrastructure construction become more crucial to prevent flood.