Japan Geoscience Union Meeting 2014

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Symbol A (Atmospheric, Ocean, and Environmental Sciences) » A-HW Hydrology & Water Environment

[A-HW27_1AM2] Hydrological Cycle and Water Environment

Thu. May 1, 2014 11:00 AM - 12:15 PM 424 (4F)

Convener:*Takeshi Hayashi(Faculty of Education and Human Studies, Akita University), Youhei Uchida(Geological Survey of Japan, AIST), Atsushi Higuchi(Center for Environmental Remote Sensing (CEReS), Chiba University, Japan), Seiya Nagao(Institute of Nature and Environmental Technology, Kanazawa University), Chair:Takeshi Hayashi(Faculty of Education and Human Studies, Akita University), Youhei Uchida(Geological Survey of Japan, AIST), Atsushi Higuchi(Center for Environmental Remote Sensing (CEReS), Chiba University, Japan), Seiya Nagao(Institute of Nature and Environmental Technology, Kanazawa University)

11:45 AM - 12:00 PM

[AHW27-11] Modeling of hydrological temporal-spatial data by a universal model

*Yasuhisa KUZUHA1, Daisuke ARAKI1, Hanako SAITOH2, Chieko GOMI3, Makiko SENDA4 (1.Graduate School of Bioresources, Mie University, 2.Faculty of Bioresources, Mie University, 3.Aichi Prefectural Government, 4.Kyoto Koka Women's University / Osaka Seikei University / Osaka Seikei College)

Keywords:fractal, hydrological temporal-spatial data, filtering, universal model, e-model

We propose "the universal model" which generates hydrological temporal or spatial data. First a white noise is generetaed ,then the white noise is filterd by a specific filter and data are generated. If a field is fractal, log-log-linear-filter( ω vs.P(ω)) is used (Lavallée, 2008). If a field is modeled by e-model (Gomi and Kuzuha, 2013), an exponential filter is used. We examined rainfall time series, spatial rainfall filelds, time series of ion concentration in river water, and ion concentration in tap water. As a result, those data were modeled by the universal model.Gomi, C. and Y. Kuzuha(2013), Simulation of a Daily Precipitation Time Series Using a Stochastic Model with Filtering, Open Journal of Modern Hydrology, DOI: 10.4236/ojmh.2013.34025Lavallée, D.(2008), On the Random Nature of Earthquake Sources and Ground Motions: A United Theory, Advances in Geophysics, Vol. 50, 2008, pp. 427-461.