Mohammad Ali Khaksar Fasaee

College of Engineering

2022 journal article

Developing early warning systems to predict water lead levels in tap water for private systems

WATER RESEARCH, 221.

Contributors: M. Khaksar Fasaee n, J. Pesantez n, K. Pieper*, E. Ling*, B. Benham*, M. Edwards*, E. Berglund n

author keywords: Bayesian belief network; Ensemble of decision trees; Lead in drinking water; Private systems; Well water; Classification; Water quality
MeSH headings : Bayes Theorem; Copper; Drinking Water; Lead / analysis; Water Pollutants, Chemical / analysis; Water Quality; Water Supply
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 23, 2022

2021 journal article

A K-Sensor correlation-based evolutionary optimization algorithm to cluster contamination events and place sensors in water distribution systems

JOURNAL OF CLEANER PRODUCTION, 319.

Contributors: M. Khaksar Fasaee n, S. Monghasemi*, M. Nikoo*, M. Shafiee*, E. Berglund n & P. Bakhtiari*

author keywords: Water distribution system; Water quality sensor; Sensor layout optimization; Water network contamination event; Mitigation; Jaccard's similarity index
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 1, 2021

2020 journal article

A novel dynamic hydrant flushing framework facilitated by categorizing contamination events

URBAN WATER JOURNAL, 17(3), 199–211.

author keywords: Hydrant flushing; hydrant set optimization; water distribution system; contaminant injection; flushing contamination mass; improved harmony search
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (Web of Science; OpenAlex)
Source: Web Of Science
Added: June 1, 2020

2020 journal article

Developing a framework for classifying water lead levels at private drinking water systems: A Bayesian Belief Network approach

WATER RESEARCH, 189.

Contributors: M. Fasaee n, E. Berglund n, K. Pieper*, E. Ling*, B. Benham* & M. Edwards*

author keywords: Bayesian Belief Network; Lead in Drinking Water; Contamination Classification; Water Quality
MeSH headings : Bayes Theorem; Drinking Water / analysis; Lead / analysis; Virginia; Water Quality; Water Supply; Water Wells
TL;DR: Interactions among laboratory-tested water quality parameters, observations of tap water, and household characteristics, including plumbing type, source water, household location, and on-site water treatment are explored to develop features for predicting water lead levels. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: February 1, 2021

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