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

被引:1
|
作者
Chowdhury, Shakhawat [1 ,4 ]
Kabir, Fayzul [1 ]
Mazumder, Mohammad Abu Jafar [2 ,5 ]
Alhooshani, Khalid [2 ]
Al-Ahmed, Amir [3 ]
Al-Suwaiyan, M. S. [1 ]
机构
[1] King Fahd Univ Petr & Minerals, Dept Civil & Environm Engn, Dhahran, Saudi Arabia
[2] King Fahd Univ Petr & Minerals, Dept Chem, Dhahran 31261, Saudi Arabia
[3] King Fahd Univ Petr & Minerals, Interdisciplinary Res Ctr Renewable Energy & Powe, Dhahran 31261, Saudi Arabia
[4] King Fahd Univ Petr & Minerals, Interdisciplinary Res Ctr Membranes & Water Secur, Dhahran 31261, Saudi Arabia
[5] King Fahd Univ Petr & Minerals, Interdisciplinary Res Ctr Adv Mat, Dhahran 31261, Saudi Arabia
关键词
heavy metals; hot water tank; model validation; modeling heavy metal concentrations; plumbing premise; water stagnation; DRINKING-WATER; LEAD RELEASE; IRON RELEASE; PARTICULATE LEAD; CORROSION; BRASS; CHLORINE; IMPACT; COPPER; CONTAMINATION;
D O I
10.2166/aqua.2021.065
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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 (R-2: 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.
引用
收藏
页码:1038 / 1052
页数:15
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