Water retention models for soils mixed with waste residues: application of the modified van-Genuchten and Brooks-Corey models

Garg, Ankit; Xing, Xuguang; Bordoloi, Sanandam

doi:10.1007/s13399-020-00957-x

Cited by 8 publications

(3 citation statements)

References 39 publications

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“…Gopal et al (2019) [20] observed a reduction in in ltration rate and an enhancement in WHC with an increase in biochar amendment. Similarly, Garg et al (2020) [21] observed that the addition of biochar increased the WRC of unsaturated soils (loam and sandy loam). The study also demonstrated that the addition of biochar modi ed soil water retention capacity (SWRC).…”

Section: Introductionmentioning

confidence: 90%

Exploring Efficiency of Biochar in Enhancing Water Retention in Soils with Varying Grain Size Distributions using ANN Technique

Garg

Wani

Zhu

et al. 2021

Preprint

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Recently, incentives have been provided in many countries, including Canada and Denmark, to produce biochar for construction usage. This is done because biochar is carbon negative and can help achieve the emission reduction goal of 2030. This technical note aims to analyze the efficiency of biochar in soils with varying grain size distribution for enhancing water retention capacity (WRC). The combinations of biochar content and grain size distributions corresponding to the maximum and minimum efficiency were explored. Artificial Neural Network (ANN) based model for predicting Soil Water Characteristic Curve (SWCC) as a function of soil suction and grain size distribution was developed. A new factor (the ratio of fine (silt + clay) and coarse (sand) content) was proposed for the interpretation of the efficiency of biochar in soils. The newly developed model is able to predict SWCC reasonably well. Biochar amendment is found to influence both dry and wet sides of soils with a clay content lower than threshold content (6–8%). Beyond threshold content, the influence of biochar appears to reduce. However, in the case of high sand content soils (90%), the NWC value on the drier side is generally higher as compared to soils with lower sand content. Based on sensitivity analysis, it was found that the ratio of fine to sand content is the most influential, while biochar content is the least influential.

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Section: Introductionmentioning

confidence: 90%

Exploring Efficiency of Biochar in Enhancing Water Retention in Soils with Varying Grain Size Distributions using ANN Technique

Garg

Wani

Zhu

et al. 2021

Preprint

Self Cite

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“…For hydraulic parameter inversion, for example, Garg, Xing, and Bordoloi (2020) adopted the standard GA to inverse parameters and further construct SWRC. However, the standard GA is more likely to fall into a local optimal solution by using a single objective function, due to the nonuniqueness of the parameter inversion; meanwhile, it is difficult to create a suitable composite function as the decision maker cannot distribute the accurate weight value of each target.…”

Section: Application Of the Improved Ga In Hydraulic Parameter Inversionmentioning

confidence: 99%

A novel method to inverse the water retention curves with consideration of volume change during centrifuge testing

Lai

Garg

Chang

et al. 2021

Soil Science Soc of Amer J

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Measuring the soil water retention curve (SWRC) using the centrifuge method often results in compressibility and an increase in bulk density. The compressibility and bulk density of the specimen are always assumed to be constant while deducing the SWRC from centrifuge testing, which may cause inaccurate SWRCs. This study proposed an improved genetic algorithm (GA) to inverse the hydraulic parameters and further constructed the SWRC by taking bulk density into account for soils with varying grain size compositions. For this study, sandy loam soils (i.e., seven treatments T1–T7) were prepared based on different volume ratios of coarse (0.075–2 mm) to fine (<0.075 mm) particles. SWRCs including compressibility and bulk density changes were measured using the centrifuge method. For verification, SWRCs were also independently deduced from one‐dimensional infiltration experiments by inverse analysis using the improved GA that combined multi‐objective optimization and elitist strategy. Upon the final shrinkage ratio of 18.32 to ∼26.38%, the bulk density during centrifugation increased by 22.33 to ∼35.72% correspondingly, thereby causing a difference in soil moisture of 9.58 to ∼16.53% between the corrected and uncorrected SWRCs. The comparison between simulated SWRC and two types of measured SWRCs (i.e., corrected and uncorrected SWRC) demonstrated that the corrected SWRC was more reasonable regardless of soil particle compositions. The findings suggest the corrected SWRC considering bulk density changes provides more accurate hydraulic parameters, which can be inversed from the infiltration data using the improved GA.

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“…The SWRC can be determined through the field and laboratory methods. Specifically, the negative pressure meters or some specialized sensors are usually inserted into cropland (Garg et al, 2020); and some simple methods, such as the pressure plate method, the centrifuge method and the HYPROP evaporation method, are also widely employed (Bezerra-Coelho et al, 2018;Kirste et al, 2019). For the various laboratory determination methods, the centrifuge method is widely used due to the advantages of simple operation, high accuracy and wide range of measurable suction.…”

Section: Introductionmentioning

confidence: 99%

Determination of soil water hydraulic parameters from infiltration data

Gao

Chang

Xing

et al. 2021

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PurposeTraditional laboratory measurements of soil water diffusivity (D) and soil water retention curve (SWRC) are always time-consuming and labor-intensive. Therefore, this paper aims to present a simple and robust test method for determining D and SWRC without reducing accuracy.Design/methodology/approachIn this study, a D model of unsaturated soil was established based on Gardner–Russo model and then a combination of Gardner–Russo model with one-dimensional horizontal absorption method to obtain n and a parameters of Gardner–Russo model. One-dimensional horizontal absorption experiments on loam, silt loam and sandy clay loam were conducted to obtain the relationships between measured infiltration rate and cumulative infiltration with wetting front distance. Based on the obtained relationships, the measured infiltration data from the one-dimensional horizontal absorption tests were used to calculate n and a parameters and further constructing D and SWRC.FindingsBoth the calculated D and SWRC inversed from the infiltration data were in good agreement with the measured ones that obtained from the traditional horizontal absorption method and the centrifuge method, respectively. Error analysis indicated that only the infiltration data are enough to reliably synchronously determine D and SWRC.Originality/valueA simple and robust method is proposed for synchronous determination of soil water diffusivity and water retention curve.

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Water retention models for soils mixed with waste residues: application of the modified van-Genuchten and Brooks-Corey models

Cited by 8 publications

References 39 publications

Exploring Efficiency of Biochar in Enhancing Water Retention in Soils with Varying Grain Size Distributions using ANN Technique

Exploring Efficiency of Biochar in Enhancing Water Retention in Soils with Varying Grain Size Distributions using ANN Technique

A novel method to inverse the water retention curves with consideration of volume change during centrifuge testing

Determination of soil water hydraulic parameters from infiltration data

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