Modeling Soil Water Dynamics and Hydrogel Doses Optimization Loam Soil under Varying Bulk Densities.
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Climatechangehas intensifieddroughts inBrazil, threateningagriculture throughalteredrainfall andtemperature patterns.Apromisingapproachtomitigatingthesoilwaterdeficitistheadditionofbiodegradablehydrophilicpolymers(hydrogels). However,waterdynamicsinsoilhydrogelsystemsremaincomplexanddependonsoiltype,bulkdensity,andhydrogeldosage.The hydrophilicpropertiesofthematrixmaypersistovertime,highlightingtheimportanceofhydrogelresidualeffects.Theinfluenceof bulkdensityonpolymerdosagedynamicsremainsunderexplored, andnorapidanalyticalmethodcurrentlyexists toestimatethe doseequivalenceof activehydrogels foragriculturalpracticeswithaccuracyandwithoutexcessivetimeconsumption.Thisstudy addresses twomaingoals: (1) toevaluate theeffectivenessof hydrogel dosages insandyclay loamsoil at varyingdensities for enhancedwater retentionand(2)todevelopamachine learning-basedanalyticalmethodfor rapidestimationof activehydrogel doses fromshortsoilwatercontent timeseries.Resultsshowedasignificant increaseinsoilwaterretentionat the3gL−1dosage. Theproposedmethod,usingalocallyweightedregressionmodel,achievedahighcorrelation(0.875)andlowerror(0.749gL−1)in cross-validationwithoutrequiringdensityinformation,offeringapractical tool foragriculturalapplications.Thesefindingssupport theefficientandsustainableuseofhydrogels,providingapractical frameworkthat facilitates theirmanagementandenablesrapid field-scale interventions toimprovewateruse inagriculture.
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Oxisol in U S Soil Taxonomy, Hydrogels