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

Md. Abdul MOJİD; A.b.m. Zahid HOSSAİN; Guido C.l. WYSEURE; Md. Ali ASHRAF

doi:https://doi.org/10.18393/ejss.554942

Makale detayları

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

Yazarlar:

Md. Abdul MOJİD | A.b.m. Zahid HOSSAİN | Guido C.l. WYSEURE | Md. Ali ASHRAF

Yayıncı:

Avrasya Toprak Bilimleri Dernekleri Federasyonu

Dergi:

Eurasian Journal of Soil Science 2019 Vol.8 Issue 3, pp.196-207

Belge Tipi:

Makale

Yayın Tarihi:

6/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000423446

eISSN:

2147-4249

DOI:

https://doi.org/10.18393/ejss.554942

Özet:

 


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 (PTFs)
for solute-transport parameters by multiple linear regression (MLR) analysis.
For this, transport parameters of three heavy metal /metalloid
compounds (NaAsO2, Pb(NO3)2, Cd(NO3)2),
a pesticide (carbendazim) and an inert salt (CaCl2) 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 (TDR), and velocity (V),
dispersion coefficient (D) and
retardation factor (R) of the solutes
were determined by analyzing the data by a transfer-function method. Bulk
density (g),
organic carbon (OC) content, clay (C) content, pH, median grain diameter (D50) and uniformity
coefficient (Cu) of the
soils were determined. Regression models for V, D and R were developed with g, OC, C,
pH, D50 and Cu 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.

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Makale detayları

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

Yazarlar: Md. Abdul MOJİD | A.b.m. Zahid HOSSAİN | Guido C.l. WYSEURE | Md. Ali ASHRAF

Yayıncı: Avrasya Toprak Bilimleri Dernekleri Federasyonu

Dergi: Eurasian Journal of Soil Science 2019 Vol.8 Issue 3, pp.196-207

Belge Tipi: Makale

Yayın Tarihi: 6/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000423446

eISSN: 2147-4249

DOI: https://doi.org/10.18393/ejss.554942

Sayı

Yazarlar:

Md. Abdul MOJİD | A.b.m. Zahid HOSSAİN | Guido C.l. WYSEURE | Md. Ali ASHRAF

Yayıncı:

Avrasya Toprak Bilimleri Dernekleri Federasyonu

Dergi:

Eurasian Journal of Soil Science 2019 Vol.8 Issue 3, pp.196-207

Belge Tipi:

Makale

Yayın Tarihi:

6/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000423446

eISSN:

2147-4249

DOI:

https://doi.org/10.18393/ejss.554942