Influence of soil density on gas permeability and water retention in soils amended with in-house produced biochar

Garg, Ankit; Huang, He; Cai, Weiling; Reddy, Narala Gangadhara; Chen, Pei-Nan; Han, Yifan; Kamchoom, Viroon; Gaurav, Shubham; Zhu, Hong‐Hu

doi:10.1016/j.jrmge.2020.10.007

Cited by 35 publications

(9 citation statements)

References 45 publications

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“…The SC was found to be maximum at fully saturated conditions and remained almost constant up to a ψ value of 50 kPa. The SC decreased with an increasing ψ as the leaves were subjected to drought stress (Munemasa et al., 2015; Garg et al., 2021). With an increasing ψ, stomata transmit signals to abscisic acid (plant hormone), which causes partial or complete closure of stomata followed by changes in pH and concentration of Ca 2+ , Cl − , and K + (Wilkinson and Davies, 1997; Tipple and Pagani, 2007).…”

Section: Resultsmentioning

confidence: 99%

“…The F v /F m ratio gradually decreased with the increasing ψ range, and the rate of decrease was found higher in control soil compared with WAP‐amended soil. It was reported that the soil texture in terms of pore size distribution would influence the plant photosynthesis response due to water uptake in the photosystem II mechanism under continued drought conditions (Garg et al., 2021). Similarly, water uptake capacity is likely influenced by the presence of WAP, which would reduce the pore size distribution of the control soil and result in higher PAWC.…”

Section: Resultsmentioning

confidence: 99%

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Efficacy of novel water‐absorbing polymer amended soil for improving drought resilience of Solanum lycopersicum

Rattan

Saha

Bordoloi

et al. 2022

Soil Science Soc of Amer J

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Climate change has exacerbated the frequency and duration of droughts. To sustain food production in such conditions, water storage and retention capacity of soil must be enhanced. Development of water-absorbing polymer (WAP) from coal carbon residue (fly ash) can provide an economical and environmentally friendly alternative to commercial WAP for enhancing water retention and crop yield. The main objective of this study is to evaluate the growth performance of tomato species (Solanum lycopersicum L.) under continued drought conditions in the presence of in-house developed fly ash-based WAP (FA-WAP) against that of commercially available WAP (Com-WAP). Quantification of the soil-water retention curve (SWRC) revealed an increase in plant wilting time and plant-available water content (PAWC) in the order: control soil (no amendment) < Com-WAP-amended soil < FA-WAP-amended soil. Both the WAPs positively influenced the transpiration factors of crops in terms of stomatal conductance (SC) and photosynthetic yield under continued drought conditions. The yield parameters (i.e., the number of fruits, total weight, and shoot fresh biomass) increased by 82, 106, and 115%, respectively, in the case of FA-WAP-amended soil as compared with that of the control. Nevertheless, FA-WAP provided 20% higher yield of tomato species during continued drought conditions than commercial WAP. The application of FA-WAP can be an effective strategy to impart beneficial usage of FA waste by significantly reducing the irrigation

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Efficacy of novel water‐absorbing polymer amended soil for improving drought resilience of Solanum lycopersicum

Rattan

Saha

Bordoloi

et al. 2022

Soil Science Soc of Amer J

Self Cite

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“…For an implication in landfill liner and slopes, there is a need to identify optimal compaction rate considering the effect of erosion under natural rainfall. Further, variation in soil water retention and strength characteristics also need to be considered while considering the DoC of a landfill liner [65].…”

Section: Influence Of Degree Of Compaction On Total Erosion Rate and Total Water Flow Ratementioning

confidence: 99%

Application of Artificial Intelligence for Predicting Erosion of Biochar Amended Soils

2022

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Recently, incentives have been provided in developed countries by the government for commercial production of biochar for soil treatment, and other construction uses with an aim to reduce a significant amount of carbon emissions by 2030. Biochar is an important material for the development of circular economy. This study aims to develop a simple Artificial Neural Network (ANN) based model to predict erosion of biochar amended soils (BAS) under varying conditions (slope length, slope gradient, rainfall rate, degree of compaction (DoC), and percentage of biochar amendments). Accordingly, a model has been developed to estimate the total erosion rate and total water flow rate as a function of the above conditions. The model was developed based on available data from flume experiments. Based on ANN modelling results, it was observed that slope length was the most important factor in determining total erosion rate, followed by slope gradient, DoC, and percentage of biochar amendment. The percentage of biochar amendment was a leading factor in the total water flow rate determination as compared to other factors. It was also found that the reduction in erosion is relatively minimal during an increase in slope length up to 1.55 m, reducing sharply beyond that. At a slope length of 2 m, erosion is found to be reduced by 33% (i.e., 2.6 to 1.75), whereas the total flow rate decreases linearly from 1250 mL/m2/min to 790 mL/m2/min. The ANN model developed shows that soil biochar composite (SBC) with 5% biochar amendment gave the best results in reducing soil erosion. This study can be a helpful tool in providing preliminary guidelines for using biochar in erosion control.

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“…Compaction results in a reduction in average pore size. Garg et al (2021) [52] also conducted series of experiments to determine the in uence of biochar on water retention in soils compacted at different densities. It was found in their study that biochar was found to be more e cient in soil compacted at 65% followed by 80% compaction as compared to 95%.…”

Section: In Uence Of Clay and Silt Content On Swcc Of Soils Amended With Biochar At Different Contentsmentioning

confidence: 99%

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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Influence of soil density on gas permeability and water retention in soils amended with in-house produced biochar

Cited by 35 publications

References 45 publications

Efficacy of novel water‐absorbing polymer amended soil for improving drought resilience of Solanum lycopersicum

Efficacy of novel water‐absorbing polymer amended soil for improving drought resilience of Solanum lycopersicum

Application of Artificial Intelligence for Predicting Erosion of Biochar Amended Soils

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

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