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    Multiple Regression Model for Predicting Cracks in Soil Amended with Pig Manure Biochar and Wood Biochar

    Source: Journal of Hazardous, Toxic, and Radioactive Waste:;2021:;Volume ( 025 ):;issue: 001::page 04020061
    Author:
    Insha Wani
    ,
    Himanshu Kumar
    ,
    Sanjay Mavinkere Rangappa
    ,
    Lin Peng
    ,
    Suchart Siengchin
    ,
    Vinod Kushvaha
    DOI: 10.1061/(ASCE)HZ.2153-5515.0000561
    Publisher: ASCE
    Abstract: This study aims to understand the influence of compaction state, and the drying–wetting cycles on cracks propagation in biochar-amended soils (BAS). The objective of the study is to carry out multiple regression analysis (MRA) and develop a multiple regression model (MRM) for estimating the crack intensity in BAS based on basic soil and biochar properties. MRA can help to understand the impact of each parameter, such as compaction, plastic limit, liquid limit, biochar content (%), and the specific gravity of soil on the crack intensity. To obtain the objective, the soil and various biochar were mixed and compacted at 65% and 80% of maximum dry density (MDD). Observations were made that wood biochar (WB) had a higher resistance to crack propagation as compared with pig manure biochar (PMB). MRA shows that there is a reduction in crack intensity with an increase in the biochar content. It was also observed that as specific gravity and plastic limit (PL) increase, the crack intensity of samples also increases. The effect of PL is more pronounced in WB as compared with PMB. The proposed MRM provides a preliminary qualitative information of cracks intensity in samples when basic soil properties are known.
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      Multiple Regression Model for Predicting Cracks in Soil Amended with Pig Manure Biochar and Wood Biochar

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4269337
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    • Journal of Hazardous, Toxic, and Radioactive Waste

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    contributor authorInsha Wani
    contributor authorHimanshu Kumar
    contributor authorSanjay Mavinkere Rangappa
    contributor authorLin Peng
    contributor authorSuchart Siengchin
    contributor authorVinod Kushvaha
    date accessioned2022-01-30T22:38:48Z
    date available2022-01-30T22:38:48Z
    date issued1/1/2021
    identifier other(ASCE)HZ.2153-5515.0000561.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269337
    description abstractThis study aims to understand the influence of compaction state, and the drying–wetting cycles on cracks propagation in biochar-amended soils (BAS). The objective of the study is to carry out multiple regression analysis (MRA) and develop a multiple regression model (MRM) for estimating the crack intensity in BAS based on basic soil and biochar properties. MRA can help to understand the impact of each parameter, such as compaction, plastic limit, liquid limit, biochar content (%), and the specific gravity of soil on the crack intensity. To obtain the objective, the soil and various biochar were mixed and compacted at 65% and 80% of maximum dry density (MDD). Observations were made that wood biochar (WB) had a higher resistance to crack propagation as compared with pig manure biochar (PMB). MRA shows that there is a reduction in crack intensity with an increase in the biochar content. It was also observed that as specific gravity and plastic limit (PL) increase, the crack intensity of samples also increases. The effect of PL is more pronounced in WB as compared with PMB. The proposed MRM provides a preliminary qualitative information of cracks intensity in samples when basic soil properties are known.
    publisherASCE
    titleMultiple Regression Model for Predicting Cracks in Soil Amended with Pig Manure Biochar and Wood Biochar
    typeJournal Paper
    journal volume25
    journal issue1
    journal titleJournal of Hazardous, Toxic, and Radioactive Waste
    identifier doi10.1061/(ASCE)HZ.2153-5515.0000561
    journal fristpage04020061
    journal lastpage04020061-8
    page8
    treeJournal of Hazardous, Toxic, and Radioactive Waste:;2021:;Volume ( 025 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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