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- W2006779652 abstract "Inverse modeling of soil hydraulic parameters in a large undisturbed monolith wasperformed trying different strategies. These strategies were based on using distinct hydraulicvariables or combinations of them and different observation depths. By defining an index to accountfor all of these criteria, the best strategies were identified. From a first outflow experiment, 4 horizonswith different water retention curves were identified in the monolith. Consequently the hydraulicparameters selected for inverse modeling were reduced to saturated water content and saturatedhydraulic conductivity of each horizon. From a second outflow experiment, inverse optimization ofthese properties was successful using different strategies. Results show the use of strategies basedon soil water content data to be most appropriate. Although inverse modeling using together soilwater content (), matric pressure head (h), and cumulative bottom flux (q) data gave best results,monitoring of in combination with either h or q might be sufficient when 7 observation depths areconsidered. Decreasing the number of observations (one per horizon) will condition which variableshould be monitored, but will also allow for satisfactory inverse optimization results. From a practicalpoint of view the optimal strategy (lower cost, simplicity) was combining h and at only 4 soil depths." @default.
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- W2006779652 date "2002-01-01" @default.
- W2006779652 modified "2023-09-23" @default.
- W2006779652 title "Optimal data requirements for inverse modeling of water flow in undisturbed soil columns" @default.
- W2006779652 doi "https://doi.org/10.13031/2013.10842" @default.
- W2006779652 hasPublicationYear "2002" @default.
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