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Developing a framework for classifying water lead levels at private drinking water systems: A Bayesian Belief Network approach.
Fasaee, Mohammad Ali Khaksar; Berglund, Emily; Pieper, Kelsey J; Ling, Erin; Benham, Brian; Edwards, Marc.
Affiliation
  • Fasaee MAK; Graduate Student, Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27695, USA; Graduate Student, Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27695, USA. Electronic address
  • Berglund E; Professor, Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27695, USA. Electronic address: emily_berglund@ncsu.edu.
  • Pieper KJ; Assistant Professor, Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA. Electronic address: k.pieper@northeastern.edu.
  • Ling E; Water Quality Extension Associate, Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA. Electronic address: ejling@vt.edu.
  • Benham B; Professor, Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA. Electronic address: benham@vt.edu.
  • Edwards M; Professor, Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA. Electronic address: edwardsm@vt.edu.
Water Res ; 189: 116641, 2021 Feb 01.
Article in En | MEDLINE | ID: mdl-33271412
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Full text: 1 Database: MEDLINE Main subject: Drinking Water Type of study: Prognostic_studies Country/Region as subject: America do norte Language: En Journal: Water Res Year: 2021 Type: Article
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Add to My VHL
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Full text: 1 Database: MEDLINE Main subject: Drinking Water Type of study: Prognostic_studies Country/Region as subject: America do norte Language: En Journal: Water Res Year: 2021 Type: Article