Models for predicting heavy metal concentrations in residential plumbing pipes and hot water tanks

Author:

Chowdhury Shakhawat12ORCID,Kabir Fayzul1,Mazumder Mohammad Abu Jafar34,Alhooshani Khalid3,Al-Ahmed Amir5,Al-Suwaiyan M. S.1

Affiliation:

1. Department of Civil and Environmental Engineering, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

2. Interdisciplinary Research Center for Membranes and Water Security, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia

3. Department of Chemistry, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia

4. Interdisciplinary Research Center for Advanced Materials, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia

5. Interdisciplinary Research Center for Renewable Energy and Power Systems, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia

Abstract

Abstract Supply water is an important source of human exposure to heavy metals through the oral pathway. Due to stagnation of water in plumbing systems, exposure concentrations of heavy metals from tap water can be higher than water distribution systems (WDS), which is often ignored by the regulatory agencies. In this study, concentrations of a few heavy metals (arsenic (As), chromium (Cr), copper (Cu), mercury (Hg), manganese (Mn), magnesium (Mg), zinc (Zn) and iron (Fe)) and water quality parameters were monitored in WDS, plumbing pipe (PP) and hot water tanks (HWT). Multiple models were trained for predicting metal concentrations in PP and HWT, which were validated. Heavy metal concentrations in HWT were 1.2–8.1 and 1.4–6.7 times the concentrations in WDS and PP respectively. Concentrations of As, Cr, Cu, Hg and Zn were in the increasing order of WDS, PP and HWT. Concentrations of Cr and Fe were higher during summer while Cu and Zn were higher in winter. The models showed variable performances for PP and HWT (R2: PP = 0.61–0.99; HWT = 0.71–0.99). The validation data demonstrated variable correlation coefficients (r: PP = 0.45–0.99; HWT = 0.83–0.99). Few models can be used for predicting heavy metals in tap water to reduce the cost of expensive sampling and analysis.

Funder

King Fahd University of Petroleum and Minerals

Publisher

IWA Publishing

Subject

Health, Toxicology and Mutagenesis,Water Science and Technology,Environmental Engineering

Reference69 articles.

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4. ATSDR (Agency for Toxic Substances and Disease Registry) 2015 Toxicologial Profiles, Toxic Substances Portal. Available from: http://www.atsdr.cdc.gov/toxprofiles/index.asp (accessed October 2017).

5. AUS (Australian Drinking Water Guidelines) 2011 National Health and Medical Research Council, (2011). Updated October 2017. Available from: https://www.nhmrc.gov.au/guidelines-publications/eh52 (accessed 10 December 2017).

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