| Literature DB >> 28629192 |
Jiaying Wang1, Tao Tao2, Hexiang Yan3.
Abstract
In order to describe iron stability in plastic pipes and to ensure the drinking water security, the influence factors and rules for iron adsorption and release were studied, dependent on the Unplasticized poly (vinyl chloride) (PVC-U) drinking pipes employed in this research. In this paper, sulfate, chloride, and bicarbonate, as well as synthesized models, were chosen to investigate the iron stability on the inner wall of PVC-U drinking pipes. The existence of the three kinds of anions could significantly affect the process of iron adsorption, and a positive association was found between the level of anion concentration and the adsorption rate. However, the scaling formed on the inner surface of the pipes would be released into the water under certain conditions. The Larson Index (LI), used for a synthetic consideration of anion effects on iron stability, was selected to investigate the iron release under multi-factor conditions. Moreover, a well fitted linear model was established to gain a better understanding of iron release under multi-factor conditions. The simulation results demonstrated that the linear model was better fitted than the LI model for the prediction of iron release.Entities:
Keywords: PVC-U drinking pipe; bicarbonate; chloride; iron stability; models; sulfate; water
Mesh:
Substances:
Year: 2017 PMID: 28629192 PMCID: PMC5486346 DOI: 10.3390/ijerph14060660
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1The changes in iron concentration in the test water under stirring condition for 10 days.
Figure 2Effects of different anions on the iron adsorption rate. (a) The condition of sulfate; (b) The condition of chloride; (c) The condition of bicarbonate. Data were shown for duplicate experiments.
Figure 3Effects of different anions on iron release. (a) The condition of sulfate; (b) The condition of chloride; (c) The condition of bicarbonate.
Experimental design matrix with anion variables.
| Run Order | Variables (Water Chemistry) | |||
|---|---|---|---|---|
| SO42− (mg/L) | Cl− (mg/L) | HCO3− (mg/L) | LI | |
| 1 | 250 | 125 | 0 | / |
| 2 | 125 | 125 | 225 | 1.67 |
| 3 | 0 | 250 | 225 | 1.11 |
| 4 | 125 | 125 | 225 | 1.67 |
| 5 | 125 | 250 | 450 | 1.11 |
| 6 | 125 | 125 | 225 | 1.67 |
| 7 | 125 | 250 | 0 | / |
| 8 | 0 | 0 | 225 | 0 |
| 9 | 125 | 0 | 0 | / |
| 10 | 125 | 0 | 450 | 0.56 |
| 11 | 250 | 0 | 225 | 2.22 |
| 12 | 125 | 125 | 225 | 1.67 |
| 13 | 125 | 125 | 225 | 1.67 |
| 14 | 250 | 125 | 450 | 1.38 |
| 15 | 250 | 250 | 225 | 3.33 |
| 16 | 0 | 125 | 450 | 0.27 |
| 17 | 0 | 125 | 0 | / |
Figure 4Iron concentration in water under different LI values.
Summary statistics of the models.
| Source | F Value | Adjusted R-Squared | |
|---|---|---|---|
| Linear | 0.0002 | 15.00 | 0.7241 |
| 2FI | 0.7167 | 0.46 | 0.6848 |
| Quadratic | 0.8681 | 0.24 | 0.5911 |
Figure 5The relationship between the actual iron release and the model predicted one. (a) The actual iron release and model predicted values of the response variable; (b) The internally studentized residuals versus predicted values.
Analysis of variance (ANOVA) for the prediction of iron release.
| Source | Sum of Squares | Mean Square | F Value | Remark | |
|---|---|---|---|---|---|
| Model | 56,249.25 | 18,749.75 | 15.00 | 0.0002 | significant |
| X1 | 14,706.13 | 14,706.13 | 11.76 | 0.0045 | significant |
| X2 | 39,621.13 | 39,621.13 | 31.69 | <0.0001 | significant |
| X3 | 1922.00 | 1922.00 | 1.54 | 0.2370 | not significant |
| Residual | 16,254.63 | 1250.36 | |||
| Lack of Fit | 13,889.43 | 1543.27 | 2.61 | 0.1845 | not significant |
| Pure Error | 2365.20 | 591.30 |