Usingdataminingtopredictsoilqualityafterapplicationofbiosolidsinagriculture
2012
Cortet, Jérôme | Kocev, Dragi | Ducobu, Caroline | Dzeroski, Saso | Debeljak, Marko | Watteau, Françoise | Schwartz, Christophe
Theamountofbiosolidsrecycledinagriculturehassteadilyincreasedduringthelastdecades.However,fewmodelsareavailabletopredicttheaccompanyingrisks,mainlyduetothepresenceoftraceelementandorganiccontaminants,andbenefitsforsoilfertilityoftheirapplication.Thepaperdealswithusingdataminingtoassessthebenefitsandrisksofbiosolidsapplicationinagriculture.Theanalyzeddatacamefroma10-‐yearfieldexperimentinnorth-‐eastFrancefocusingontheeffectsofbiosolidapplicationandmineralfertilizationonsoilfertilityandcontamination.Eighttypesofbiosolidswereappliedatagriculturallyrecommendedratesaccordingtofourbiosolidapplicationsonseveralsuccessivecrops.Biosolidshadasignificanteffectonsoilfertility,causinginparticularapersistentincreaseinplant-‐availablePrelativetoplotsreceivingmineralfertilizer.However,soilfertilityatseedingandcropmanagementmethodhadbiggereffectsthanbiosolidapplicationonsoilfertilityatharvest,especiallysoilNcontent.Levelsoftraceelementsandorganiccontaminantsinsoilsremainedbelowlegalthresholdvalues.Levelsofextractablemetalscorrelatedmorestronglythantotalmetallevelswithotherfactors.Levelsoforganiccontaminants,inparticularPAH,werelinkedtototalmetallevelsinbiosolidsandtreatedsoil.Thestudyconfirmedthatbiosolidapplicationatratesrecommendedforagricultureisasafeoptionforincreasingsoilfertility.Howeverthequalityofthebiosolidsselectedhastobetakenintoaccount.Theresultsalsoindicatethepowerofdatamininginexamininglinksbetweenparametersincomplexdatasets.
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