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A time series approach to inferring groundwater recharge using the water table fluctuation method
Author(s) -
Crosbie Russell S.,
Binning Philip,
Kalma Jetse D.
Publication year - 2005
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/2004wr003077
Subject(s) - groundwater recharge , water table , hydrology (agriculture) , precipitation , aquifer , groundwater , environmental science , table (database) , drainage , moisture , depression focused recharge , soil science , geology , meteorology , geotechnical engineering , geography , computer science , data mining , ecology , biology
The water table fluctuation method for determining recharge from precipitation and water table measurements was originally developed on an event basis. Here a new multievent time series approach is presented for inferring groundwater recharge from long‐term water table and precipitation records. Additional new features are the incorporation of a variable specific yield based upon the soil moisture retention curve, proper accounting for the Lisse effect on the water table, and the incorporation of aquifer drainage so that recharge can be detected even if the water table does not rise. A methodology for filtering noise and non‐rainfall‐related water table fluctuations is also presented. The model has been applied to 2 years of field data collected in the Tomago sand beds near Newcastle, Australia. It is shown that gross recharge estimates are very sensitive to time step size and specific yield. Properly accounting for the Lisse effect is also important to determining recharge.