Pedo-transfer functions with multiple linear regressions to predict solute-transport parameters

Authors : Md Abdul MOJİD, Abm Zahid HOSSAİN, Guido Cl WYSEURE, Md Ali ASHRAF

Pages : 196-207

Doi:10.18393/ejss.554942

View : 41 | Download : 6

Publication Date : 2019-07-01

Article Type : Research Paper

Abstract :Transport parameters of soluble chemicals through soils are needed to assess the pollution risks of soil and groundwater resources. But, it is time consuming, laborious, expensive and, practically, impossible to experimentally measure such parameters for a wide range of solutes and soil types. So, indirect estimate of the parameters by pedo-transfer function is becoming popular. The aim of this study was to develop and evaluate pedo-transfer functions insert ignore into journalissuearticles values(PTFs); for solute-transport parameters by multiple linear regression insert ignore into journalissuearticles values(MLR); analysis. For this, transport parameters of three heavy metal /metalloid compounds insert ignore into journalissuearticles values(NaAsO 2 , Pbinsert ignore into journalissuearticles values(NO 3 ); 2 , Cdinsert ignore into journalissuearticles values(NO 3 ); 2 );, a pesticide insert ignore into journalissuearticles values(carbendazim); and an inert salt insert ignore into journalissuearticles values(CaCl 2 ); through 14 agricultural soils of Bangladesh were determined. The transport experiments were done in repacked soil columns under unsaturated steady-state water flow conditions. Breakthrough data of the solutes were measured with time-domain reflectometry insert ignore into journalissuearticles values(TDR);, and velocity insert ignore into journalissuearticles values( V );, dispersion coefficient insert ignore into journalissuearticles values( D ); and retardation factor insert ignore into journalissuearticles values( R ); of the solutes were determined by analyzing the data by a transfer-function method. Bulk density insert ignore into journalissuearticles values( g );, organic carbon insert ignore into journalissuearticles values( OC ); content, clay insert ignore into journalissuearticles values( C ); content, pH, median grain diameter insert ignore into journalissuearticles values( D 50 ); and uniformity coefficient insert ignore into journalissuearticles values( C u ); of the soils were determined. Regression models for V , D and R were developed with g , OC , C , pH, D 50 and C u as the input variables. Bulk density and clay content were found the most sensitive input variables to the MLR models. The MLR models fairly predicted V , D and R , and thus provide a way of significantly enhancing prediction of reactive solute transport through agricultural soils.
Keywords : Soluble chemicals, soil properties, solute movement, indirect estimate

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