Application of an extended Kalman filter approach to inversion of time-lapse electrical resistivity imaging data for monitoring recharge

Water Resources Research

Volumn 47, Issue 10, 2011, Pages

  Nenna, Vanessa ^a   Pidlisecky, Adam ^b   Knight, Rosemary ^a  

^a STANFORD UNIVERSITY   (United States)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AQUIFER STORAGE AND RECOVERY; ARCHIE'S LAW; CALIFORNIA; ELECTRICAL CONDUCTIVITY; ELECTRICAL RESISTIVITY IMAGING; ELECTRICAL RESISTIVITY MEASUREMENTS; FIELD DATA; MODEL PARAMETERS; NOISE STRUCTURES; OBSERVATION MODEL; OBSERVATION NOISE; OVER SAMPLING; PHYSICAL SYSTEMS; PORE WATERS; RANDOM WALK MODELS; STATE EVOLUTIONS; STORM FLOW; SUBSURFACE SEDIMENTS; SURFACE ARRAY; SYNTHETIC DATA; TIME SERIES SIGNALS; TRACK CHANGES; WATER SATURATIONS; WETTING FRONTS;

ANOXIC SEDIMENTS; AQUIFERS; ELECTRIC CONDUCTIVITY; EXTENDED KALMAN FILTERS; LAKES; POSITION CONTROL; SIGNAL PROCESSING; TIME SERIES; TWO DIMENSIONAL; WATER CONTENT;

MONITORING;

AQUIFER; DATA ACQUISITION; DATA INVERSION; DATA SET; ELECTRICAL CONDUCTIVITY; ELECTRICAL RESISTIVITY; ELECTRODE; ENVIRONMENTAL MONITORING; FEASIBILITY STUDY; KALMAN FILTER; NOISE; NUMERICAL MODEL; POND; POREWATER; RANDOM WALK METHOD; RECHARGE; RUNOFF; SATURATION; SIGNAL PROCESSING; TIME SERIES; WATER CONTENT; WATER STORAGE;

CALIFORNIA; UNITED STATES;

EID: 80055058242     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2010WR010120     Document Type: Article

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