NON-LINEAR MODELLING TO DESCRIBE THE WIND EROSION RATE IN DIFFERENT TILLAGE PRACTICES

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dc.contributor.authorMikailsoy, Fariz
dc.contributor.authorCarman, Kazim
dc.contributor.authorOzbek, Osman
dc.date.accessioned2020-03-26T19:54:50Z
dc.date.available2020-03-26T19:54:50Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractSoil erosion is a growing problem in Turkey and particularly in the Middle Anatolia, the biggest semi arid agricultural production area with great agricultural activity. Soil erosion not only decreases agricultural productivity, but also reduces the water availability in region. Nonlinear regression models are important tools because many crop and soil processes are better represented by nonlinear than linear models. Fitting nonlinear models is not a single-step procedure but an involved process that requires careful examination of each individual step. The purpose of this study was to develop a wind erosion rate prediction models by dust concentration measurement during the soil tillage. The models have a modified form of growt curve. The experiments were carried out for eight different tillage practices that include the conventional, six different reduced tillage and the direct seeding practices. To collect the data under controlled wind conditions but on in situ soils, a portable wind erosion tunnel was designed and utilised during field experiments. Eight different non-linear models were used for predicted of wind erosion rate as depending on dust concentration in tillage. While 6 of these models were taken from the available sources, two models were developed by us. The wind erosion prediction models derived from dust concentration data showed a good agreement with the measured data with R-2 = 92.52 ... 93.74 %. The mean absolute percentage error of the predicted values was found to be less than the acceptable limits (10%) in existing non linear model 6 and, developed non linear models 7 and 8. Based on predictive performance criteria, developed semi-empirical non linear model 8 appears to be a promising technique for predicting wind erosion rate.en_US
dc.identifier.endpage1612en_US
dc.identifier.issn1018-4619en_US
dc.identifier.issn1610-2304en_US
dc.identifier.issue3en_US
dc.identifier.startpage1604en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36807
dc.identifier.volume27en_US
dc.identifier.wosWOS:000429081700032en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherPARLAR SCIENTIFIC PUBLICATIONS (P S P)en_US
dc.relation.ispartofFRESENIUS ENVIRONMENTAL BULLETINen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectEmpirical non linear modelsen_US
dc.subjecttillageen_US
dc.subjectdusten_US
dc.subjectsoil erodibility by winden_US
dc.subjectpredictionen_US
dc.titleNON-LINEAR MODELLING TO DESCRIBE THE WIND EROSION RATE IN DIFFERENT TILLAGE PRACTICESen_US
dc.typeArticleen_US

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