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    Predicting the Optimal Tank Volume of a Rainwater Harvesting System: A Machine Learning Approach Based on Building Characteristics

    Source: Journal of Hydrologic Engineering:;2026:;Volume ( 031 ):;issue: 003::page 04026008-1
    Author:
    Chen, Shiguang
    ,
    Sun, Hongwei
    ,
    Chen, Xuebin
    DOI: 10.1061/JHYEFF.HEENG-6587
    Publisher: American Society of Civil Engineers
    Abstract: AbstractRainwater harvesting (RWH) is a promising strategy for addressing water scarcity, and the optimal design of storage tanks is vital for their efficiency. This study develops a predictive model using machine learning algorithms, specifically Random ...Schematic diagram of the study: the left side illustrates building characteristics that may influence the design of the RWH system tank volume, while the right side presents the machine learning workflow for predicting the optimal tank size.Schematic ...
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      Predicting the Optimal Tank Volume of a Rainwater Harvesting System: A Machine Learning Approach Based on Building Characteristics

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311709
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    contributor authorChen, Shiguang
    contributor authorSun, Hongwei
    contributor authorChen, Xuebin
    date accessioned2026-08-20T11:06:48Z
    date available2026-08-20T11:06:48Z
    date copyright2026/04/06
    date issued2026
    identifier otherJHYEFF.HEENG-6587.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311709
    description abstractAbstractRainwater harvesting (RWH) is a promising strategy for addressing water scarcity, and the optimal design of storage tanks is vital for their efficiency. This study develops a predictive model using machine learning algorithms, specifically Random ...Schematic diagram of the study: the left side illustrates building characteristics that may influence the design of the RWH system tank volume, while the right side presents the machine learning workflow for predicting the optimal tank size.Schematic ...
    publisherAmerican Society of Civil Engineers
    titlePredicting the Optimal Tank Volume of a Rainwater Harvesting System: A Machine Learning Approach Based on Building Characteristics
    typeJournal Article
    journal volume31
    journal issue3
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/JHYEFF.HEENG-6587
    journal fristpage04026008-1
    journal lastpage04026008-14
    page14
    treeJournal of Hydrologic Engineering:;2026:;Volume ( 031 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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