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Regression analysis for anomalous changes of ground water level due to earthquakes
Author(s) -
Matsumoto Norio
Publication year - 1992
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/92gl01042
Subject(s) - akaike information criterion , water level , precipitation , regression analysis , geology , ground level , atmospheric pressure , angstrom , environmental science , regression , geodesy , seismology , meteorology , statistics , mathematics , physics , geography , oceanography , chemistry , cartography , architectural engineering , ground floor , engineering , crystallography
A multiple regression analysis method is applied to detect anomalous changes of ground water level due to earthquakes. Corrected water level is calculated by eliminating responses due to barometric pressure, earth tide and precipitation from the observed water level based on a model obtained by the minimum AIC (Akaike Information Criterion) procedure. The data observed at Haibara well, Shizuoka, central Japan during the period from Feb. 1981 to Dec. 1990 is analyzed using this method. It is shown that the corrected water level decreases more than 1 cm after each of fifteen earthquakes.