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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Rea Press</journal-id>
      <journal-id journal-id-type="publisher-id">null</journal-id>
      <journal-title>Rea Press</journal-title><issn pub-type="ppub">3009-4496</issn><issn pub-type="epub">3009-4496</issn><publisher>
      	<publisher-name>Rea Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/444vr378</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Wastewater treatment systems, Artificial intelligence, Smart water treatment system.</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Conceptual Construction of a Water Resource Recovery and Purification System Based on an Artificial Intelligence Management Model</article-title><subtitle>Conceptual Construction of a Water Resource Recovery and Purification System Based on an Artificial Intelligence Management Model</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Chang</surname>
		<given-names>Hung-Li </given-names>
	</name>
	<aff>College of Management, National Taipei University of Technology, Taiwan‎.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Keng</surname>
		<given-names>Ching-Jui </given-names>
	</name>
	<aff>College of Management, National Taipei University of Technology, Taiwan‎.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Liu</surname>
		<given-names>Yu-Lun</given-names>
	</name>
	<aff>Kent Business School, University of Kent, United Kingdom‎.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname> Jiang</surname>
		<given-names>Han-Ling</given-names>
	</name>
	<aff>College of Management, National Taipei University of Technology, Taiwan‎.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>05</month>
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>01</day>
        <month>05</month>
        <year>2024</year>
      </pub-date>
      <volume>1</volume>
      <issue>2</issue>
      <permissions>
        <copyright-statement>© 2024 Rea Press</copyright-statement>
        <copyright-year>2024</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Conceptual Construction of a Water Resource Recovery and Purification System Based on an Artificial Intelligence Management Model</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			Given the trends of energy shortages, sustainability demands, and increased awareness, along with operational challenges in water utilities, there are new opportunities for the future of water treatment. Unfortunately, current wastewater treatment systems and technologies lack integration and a comprehensive management model. This conceptual paper proposes planning and implementing a wastewater treatment system designed to enhance efficiency and reduce operating costs. It emphasizes proactive measures to ensure stable operation and aims to achieve intelligent management of wastewater treatment, guiding the industry towards more efficient and environmentally friendly practices.               
		</p>
		</abstract>
    </article-meta>
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