Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Estimation of Non-Linear Water Uptake Parameter using Genetic Algorithm for Sodic Soils

View through CrossRef
<p>In the plant water soil system, water plays a vital part in controlling the plant's growth. The plant fulfils its water demand from the soil water through root uptake. The pattern of water uptake by the plant through roots depends on the root geometry and the root density, which varies non-linearly with the depth. To quantify this non-linearity, it is essential to precisely determine the parameter accounting for this non-linearity in the water uptake. Moreover, it has also been observed in the literature that sodicity alters the root growth and thence the density. The current study is about identifying non-linear root water uptake parameter utilizing the Genetic Algorithm (GA) technique in Sodic soils. Different models have been proposed to predict root water uptake by the plants. The non-Linear nature of root water uptake has been confirmed from previous studies and observations. The non-linear root water uptake model named as O-R (Ojha and Rai, 1996) model combined with soil moisture flow or Richard's equation is developed to determine the pattern of root water uptake by the plants. Non-linear parameter β is incorporated in the O-R model to account for non-linearity in the uptake. In the current study, parameter β is determined through inverse modelling utilizing GA optimization procedure. For parameter optimization, the difference between model-predicted and experimentally observed percentage soil moisture depletion is minimized for soils of different salinity classes. To check the viability of the developed model, the optimization procedure is validated from hypothetically generated percentage soil moisture depletion corresponding to an assumed β value and salt concentration in the soil. This study considers the wheat crop (Triticum) to apply this model and estimate the non-linear root water uptake parameter β. The results obtained show that the linked simulation-optimization model based on GA procedure precisely determines the non-linear root water uptake parameter for the Wheat crop considered. Since Different crops follow different non-linear water uptake patterns and hence, have different values of β<em>. </em>Thus, an accurate estimation of β<em> </em>is necessary to analyze the root water uptake and plan the irrigation scheduling strategies for modern agriculture.</p>
Title: Estimation of Non-Linear Water Uptake Parameter using Genetic Algorithm for Sodic Soils
Description:
<p>In the plant water soil system, water plays a vital part in controlling the plant's growth.
The plant fulfils its water demand from the soil water through root uptake.
The pattern of water uptake by the plant through roots depends on the root geometry and the root density, which varies non-linearly with the depth.
To quantify this non-linearity, it is essential to precisely determine the parameter accounting for this non-linearity in the water uptake.
Moreover, it has also been observed in the literature that sodicity alters the root growth and thence the density.
The current study is about identifying non-linear root water uptake parameter utilizing the Genetic Algorithm (GA) technique in Sodic soils.
Different models have been proposed to predict root water uptake by the plants.
The non-Linear nature of root water uptake has been confirmed from previous studies and observations.
The non-linear root water uptake model named as O-R (Ojha and Rai, 1996) model combined with soil moisture flow or Richard's equation is developed to determine the pattern of root water uptake by the plants.
Non-linear parameter β is incorporated in the O-R model to account for non-linearity in the uptake.
In the current study, parameter β is determined through inverse modelling utilizing GA optimization procedure.
For parameter optimization, the difference between model-predicted and experimentally observed percentage soil moisture depletion is minimized for soils of different salinity classes.
To check the viability of the developed model, the optimization procedure is validated from hypothetically generated percentage soil moisture depletion corresponding to an assumed β value and salt concentration in the soil.
This study considers the wheat crop (Triticum) to apply this model and estimate the non-linear root water uptake parameter β.
The results obtained show that the linked simulation-optimization model based on GA procedure precisely determines the non-linear root water uptake parameter for the Wheat crop considered.
Since Different crops follow different non-linear water uptake patterns and hence, have different values of β<em>.
</em>Thus, an accurate estimation of β<em> </em>is necessary to analyze the root water uptake and plan the irrigation scheduling strategies for modern agriculture.
</p>.

Related Results

Improving Efficiency of Reclamation of Sodium-Affected Soils
Improving Efficiency of Reclamation of Sodium-Affected Soils
Sodium affected soils, along with salt-affected soils, are distributed widely in irrigated areas of the arid and semi-arid region of the world. Some of these soils can and must be ...
Gypsum amendment influences performance and mineral absorption in wheat cultivars grown in normal and saline‐sodic soils
Gypsum amendment influences performance and mineral absorption in wheat cultivars grown in normal and saline‐sodic soils
AbstractIn arid and semi‐arid regions, soil salinity and sodicity are the most common constraints to agriculture production, in particular in North Africa. The effect of gypsum app...
Response of rice genotypes to sodic waters and Zn rates
Response of rice genotypes to sodic waters and Zn rates
Identification of rice genotypes that are tolerant to both sodicity and Zn deficiency is necessary before any rice genotype is cultivated in these stressed environments. We conduc...
Emerging Evidence of IgG4-Related Disease in Pericarditis: A Systematic Review
Emerging Evidence of IgG4-Related Disease in Pericarditis: A Systematic Review
Abstract Introduction Immunoglobulin G4-related disease (IgG4-RD) is a recently identified immune-mediated condition that is debilitating and often overlooked. While IgG4-RD has be...
Problematic Soils and Their Management
Problematic Soils and Their Management
The soils which possess characteristics that make them uneconomical for the cultivation of crops without adopting proper reclamation measures are known as problem soils. For the ma...
Properties and Management of Oxidic Soils
Properties and Management of Oxidic Soils
Oxidic soils are deeply weathered, fine-textured, oxide-rich soils in the tropics. These soils are the second most abundant soils in the tropics. Geographically, oxidic soils are f...
Properties and Management of Smectitic Soils
Properties and Management of Smectitic Soils
Smectitic soils of the tropics are medium- to fine-textured alluvial soils containing moderate to large amounts (20% or more) of smectite, a shrinking and swelling clay mineral, in...

Back to Top