The combined use of multiresolution state space model and deep learning to characterize hydrological drivers of complex groundwater level fluctuation in an alluvial aquifer

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ADS bibcode
2018AGUFM.H13I1839O
year
2018
Listed Authors
Oh, Y. Y.
Yun, S. T.
Yu, S.
Hamm, S. Y.
Listed Institutions
K-COSEM Research Center & Department of Earth and Environmental Sciences, Korea University, Seoul, Korea, Republic of (South)
Department of Earth and Environmental Sciences & K-COSEM Research Center, Korea University, Seoul, South Korea
K-COSEM Research Center & Department of Earth and Environmental Sciences, Korea University, Seoul, South Korea
Pusan National University,, Busan, Korea, Republic of (South)

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