YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Hydrologic Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Hydrologic Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    A Risk Assessment of a Water-Sand Inrush during Coal Mining under a Loose Aquifer Based on a Factor Analysis and the Fisher Model

    Source: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 008
    Author:
    Wenquan Zhang
    ,
    Zaiyong Wang
    ,
    Xianxiang Zhu
    ,
    Wei Li
    ,
    Bing Gao
    ,
    Hailing Yu
    DOI: 10.1061/(ASCE)HE.1943-5584.0001936
    Publisher: ASCE
    Abstract: This paper aims to investigate the safety problems related to coal mining under a loose aquifer, and uses the Factor Analysis (FA) and Fisher discriminant methods to analyze and assess the risk of a water-sand inrush under such conditions. Based on 26 sets of the collected geological parameters of the working faces of coal mines under loose aquifers, a comprehensive analysis shows that the risk factors of a water-sand inrush under a loose aquifer are mainly: the thickness of the bottom aquifer; the water pressure; the height of the caving zone; the thickness of the bedrock; the thickness of the bottom clay layer; the water abundance of the aquifer; and the water inflow at the working face. These factors were used as discrimination factors to test and predict the results by using the back-substitution estimate method. The results show that: the water pressure and the thickness of the bottom clay layer have a major influence on the risk of a water-sand inrush under a loose aquifer; and the predicted results of 23 sets of samples are consistent with the results from actual engineering practice, while the results of the remaining three sets are inaccurate. Accordingly, the error rate of the model is 0.115. Therefore, the FA-Fisher discriminant analysis model is highly reliable when conducting a risk assessment of a water-sand inrush under a loose aquifer, and can provide a scientific reference for the safety evaluation of coal mining under such conditions.
    • Download: (618.9Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      A Risk Assessment of a Water-Sand Inrush during Coal Mining under a Loose Aquifer Based on a Factor Analysis and the Fisher Model

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4269036
    Collections
    • Journal of Hydrologic Engineering

    Show full item record

    contributor authorWenquan Zhang
    contributor authorZaiyong Wang
    contributor authorXianxiang Zhu
    contributor authorWei Li
    contributor authorBing Gao
    contributor authorHailing Yu
    date accessioned2022-01-30T21:54:26Z
    date available2022-01-30T21:54:26Z
    date issued8/1/2020 12:00:00 AM
    identifier other%28ASCE%29HE.1943-5584.0001936.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269036
    description abstractThis paper aims to investigate the safety problems related to coal mining under a loose aquifer, and uses the Factor Analysis (FA) and Fisher discriminant methods to analyze and assess the risk of a water-sand inrush under such conditions. Based on 26 sets of the collected geological parameters of the working faces of coal mines under loose aquifers, a comprehensive analysis shows that the risk factors of a water-sand inrush under a loose aquifer are mainly: the thickness of the bottom aquifer; the water pressure; the height of the caving zone; the thickness of the bedrock; the thickness of the bottom clay layer; the water abundance of the aquifer; and the water inflow at the working face. These factors were used as discrimination factors to test and predict the results by using the back-substitution estimate method. The results show that: the water pressure and the thickness of the bottom clay layer have a major influence on the risk of a water-sand inrush under a loose aquifer; and the predicted results of 23 sets of samples are consistent with the results from actual engineering practice, while the results of the remaining three sets are inaccurate. Accordingly, the error rate of the model is 0.115. Therefore, the FA-Fisher discriminant analysis model is highly reliable when conducting a risk assessment of a water-sand inrush under a loose aquifer, and can provide a scientific reference for the safety evaluation of coal mining under such conditions.
    publisherASCE
    titleA Risk Assessment of a Water-Sand Inrush during Coal Mining under a Loose Aquifer Based on a Factor Analysis and the Fisher Model
    typeJournal Paper
    journal volume25
    journal issue8
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0001936
    page12
    treeJournal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 008
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian