Modeling the Impacts of Amended Organic Material on Soil Water Retention Using a Generalized van Genuchten Framework

In the eco-scientific interaction between soil and water, the organic material acts as a vital catalyst in shaping the soil water retention (SWR) characteristics and fulfilling the requirements of sustainable agricultural systems. To understand the behavior of SWR curves (SWRCs) under varying organic content (OC), a novel unified SWR model is introduced by modifying the widely adopted van Genuchten (VG) equation. An assortment of functions of OC (f(OC|A,B),A,B as function constants) is introduced in the original VG framework as multiplicative factors to the original VG-model parameters (θr, θs, α, n); thereby converting the existing two-dimension model, VG(θ,h|θr,θs,α,n) to a three-dimensional OC-incorporated VG-model, VGOC(θ,h,OC|A,B). Forty different configurations of VGOC models are created by incorporating f(OC) and providing the original VG parameters of the native soil as inherent inputs to the VGOC model, which are subsequently utilized for generating a family of SWRCs. Laboratory experiments are conducted to generate the soil moisture–pressure head (θ-h) dataset for soil samples amended with different organic content (0% to 80% by weight) utilizing the pressure plate apparatus. For model calibration, genetic algorithm is employed to estimate the model parameters, resulting in a generalized VGOC(θ-h-OC) equation for any amendment level in the native soil. Model performance evaluation indicates that the configuration where a nonlinear OC-function (f(OC)=1+A×OCB) multiplies with θr and θs yields the best representative family of SWRCs across all the organic amendment levels in soil. The major contribution of the study is the modified VGOC equation that is capable of producing the continuous variation of θ-h-OC values with a generalized VGOC(θ-h-OC) relationship, which was previously discrete in the third dimension (along OC). Furthermore, the methodology is illustrated on various similar studies and it performed proficiently, thereby demonstrating the robustness, applicability, and compactness of the proposed three-variable VGOC(θ,h,OC) model for organically amended soils.

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Publication Details

Journal
Journal of Hydrologic Engineering
Published
2026-05-17
DOI
https://doi.org/10.1061/jhyeff.heeng-6711
Primary Topic
Soil and Unsaturated Flow
Type
article
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article

Modeling the Impacts of Amended Organic Material on Soil Water Retention Using a Generalized van Genuchten Framework

Mahesh Kumar Jat, CSP Ojha, Himanshu Arora, Nitesh Amberia
Journal of Hydrologic Engineering
Soil and Unsaturated Flow
article

Modeling the Impacts of Amended Organic Material on Soil Water Retention Using a Generalized van Genuchten Framework

Mahesh Kumar Jat, CSP Ojha, Himanshu Arora, Nitesh Amberia
article en

Abstract

In the eco-scientific interaction between soil and water, the organic material acts as a vital catalyst in shaping the soil water retention (SWR) characteristics and fulfilling the requirements of sustainable agricultural systems. To understand the behavior of SWR curves (SWRCs) under varying organic content (OC), a novel unified SWR model is introduced by modifying the widely adopted van Genuchten (VG) equation. An assortment of functions of OC (f(OC|A,B),A,B as function constants) is introduced in the original VG framework as multiplicative factors to the original VG-model parameters (θr, θs, α, n); thereby converting the existing two-dimension model, VG(θ,h|θr,θs,α,n) to a three-dimensional OC-incorporated VG-model, VGOC(θ,h,OC|A,B). Forty different configurations of VGOC models are created by incorporating f(OC) and providing the original VG parameters of the native soil as inherent inputs to the VGOC model, which are subsequently utilized for generating a family of SWRCs. Laboratory experiments are conducted to generate the soil moisture–pressure head (θ-h) dataset for soil samples amended with different organic content (0% to 80% by weight) utilizing the pressure plate apparatus. For model calibration, genetic algorithm is employed to estimate the model parameters, resulting in a generalized VGOC(θ-h-OC) equation for any amendment level in the native soil. Model performance evaluation indicates that the configuration where a nonlinear OC-function (f(OC)=1+A×OCB) multiplies with θr and θs yields the best representative family of SWRCs across all the organic amendment levels in soil. The major contribution of the study is the modified VGOC equation that is capable of producing the continuous variation of θ-h-OC values with a generalized VGOC(θ-h-OC) relationship, which was previously discrete in the third dimension (along OC). Furthermore, the methodology is illustrated on various similar studies and it performed proficiently, thereby demonstrating the robustness, applicability, and compactness of the proposed three-variable VGOC(θ,h,OC) model for organically amended soils.

Journal of Hydrologic EngineeringVol. 31(4)
Indian Institute of Technology Roorkee (IN), Malaviya National Institute of Technology Jaipur (IN)
Zero hunger
Openalex Percentile: Top 9%
Soil and Unsaturated Flow
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