Models for predicting heavy metal concentrations in residential plumbing pipes and hot water tanks
Author(s) -
Shakhawat Chowdhury,
F. Kabir .,
Mohammad A. Jafar Mazumder,
Khalid Alhooshani,
Amir AlAhmed,
Mohammad Al-Suwaiyan
Publication year - 2021
Publication title -
journal of water supply research and technology—aqua
Language(s) - English
Resource type - Journals
eISSN - 1606-9935
pISSN - 1605-3974
DOI - 10.2166/aqua.2021.065
Subject(s) - zinc , arsenic , manganese , chromium , mercury (programming language) , water quality , environmental chemistry , chemistry , tap water , metal , heavy metals , environmental science , magnesium , water treatment , environmental engineering , water supply , copper , organic chemistry , ecology , biology , programming language , computer science
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom