Corrosion Science 48 (2006) 322–342 www.elsevier.com/locate/corsci Characteristics of iron corrosion scales established under blending of ground, surface, and saline waters and their impacts on iron release in the pipe distribution system Zhijian Tang a, Seungkwan Hong a,b,*, Weizhong Xiao a, James Taylor a a b Department of Civil and Environmental Engineering, University of Central Florida, P.O. Box 162450, Orlando, FL 32816, USA Department of Civil and Environmental Engineering, Korea University, 1, 5-ka, Anam-dong, Sungbuk-ku, Seoul, 136-701, Republic of Korea Received 12 February 2004; accepted 3 February 2005 Available online 9 April 2005 Abstract Interior scales on PVC, lined ductile iron (LDI), unlined cast iron (UCI) and galvanized steel (G) were analyzed by XRD, RMS, and XPS after contact with varying water quality for 1 year. FeCO3, a-FeOOH, b-FeOOH, c-Fe2O3, Fe3O4 were identified as primary UCI corrosion products. No FeCO3 was found on G. The order of Fe release was UCI > G P LDI > PVC. For UCI, Fe release decreased as % Fe3O4 increased and as % Fe2O3 decreased in scale. Soluble Fe and FeCO3 transformation indicated FeCO3 solid was controlling Fe release. FeCO3 model and pilot data showed Fe increased as alkalinity and pH decreased. 2005 Elsevier Ltd. All rights reserved. Keywords: Iron corrosion; Water blending; XRD; RMS; XPS; Siderite * Corresponding author. Address: Department of Civil and Environmental Engineering, Korea University, 1, 5-ka, Anam-dong, Sungbuk-ku, Seoul, 136-701, Republic of Korea. Tel.: +82 2 3290 3322; fax: +82 2 928 7656. E-mail address: [email protected] (S. Hong). 0010-938X/$ - see front matter 2005 Elsevier Ltd. All rights reserved. doi:10.1016/j.corsci.2005.02.005 Z. Tang et al. / Corrosion Science 48 (2006) 322–342 323 1. Introduction Significant population growth, in conjunction with the depletion of groundwater resources, has prompted development of alternative sources for drinking water supply. Tampa Bay Water (TBW) has developed surface water and desalination facilities to augment future drinking water supply [1,2]. The finished water quality of these alternate supplies is different from finished groundwater and will interact with the existing distribution scale and have adverse effects on distribution water quality. The disruption of existing scales on pipe surfaces is of great concerns and can lead to release of several undesirable substances to drinking water. Various pipe materials, such as iron, galvanized steel, concrete, PVC, and copper, have been extensively used in the drinking water distribution systems. Unlined iron pipes are very prone to electrochemical corrosion and their internal surfaces can become severely corroded over time. Typical iron corrosion products formed on aged pipe surfaces can be described using three different layers: (a) a macroporous layer of black rust (magnetite, Fe3O4) in contact with the metal, (b) a microporous film of mixture of Fe2+ and Fe3+ species that covers the macrolayer, and (c) a top layer of red rust (mainly goethite, a-FeOOH and hematite, a-Fe2O3). The exact composition and structure of iron corrosion scales, however, varies significantly with water qualities as well as flow properties [3,4]. In past decades, numerous studies have been conducted to investigate iron corrosion to elucidate fundamental mechanisms responsible for iron release, which often causes red water. Alkalinity, pH, chloride and sulfate are primary water quality parameters affecting iron corrosion [2,5–10]. Kuch [11] proposed that red water was caused by reduction and dissolution of formed corrosion products (e.g. cFeOOH) when oxygen was lacking during stagnation. A study by Sontheimer et al. [12] suggested that the formation of siderite (FeCO3) might play an important role in iron corrosion. Despite the extensive research efforts, adverse impacts of blending different source waters on iron release have not been investigated systematically. In particular, characteristics of chemical films established for different blended waters in the same pipe are not understood, and as a result, their impacts on iron release are largely unknown. A pilot-scale pipe distribution study was conducted to determine the effect of blending different source waters on distribution system water quality. In this study, finished ground, surface, and saline waters, were blended in varying ratios and discharged to pilot distribution systems (PDSs). Water quality parameters and scale characteristics were monitored for 12 months and correlated to pipe material and water quality. Aged pipes taken from distribution systems were used to build the PDSs and consisted of unlined cast iron, galvanized steel, lined ductile iron and PVC pipes. Pipe coupons were placed in cradles connected to the PDS. XRD (X-ray diffraction), RMS (Raman spectroscopy), and XPS (X-ray photoelectron spectroscopy) analyses were performed on the coupon corrosion scales. A thermodynamic equilibrium model based on solid phases identified by surface characterization was developed to predict iron release as a function of blended water qualities. 324 Z. Tang et al. / Corrosion Science 48 (2006) 322–342 2. Experimental work 2.1. Source waters Seven pilot treatment facilities were constructed to supply finished water to the pilot distribution systems. These pilot plants were designed to simulate the existing and future TBW water treatment processes. All processes included chloramination and pH stabilization for post treatment [1]. This study focused on three principal sources: G1, S1, and RO. The G1 source is conventionally treated groundwater (i.e. aeration) that distribution systems had received for decades. The S1 represents enhanced surface water treatment consisting of ferric sulfate coagulation, flocculation, settling, filtration, ozonation, biologically activated carbon filtration. The RO source simulates desalted seawater by reverse osmosis membrane processes. 2.2. Pipe materials Four different aged pipe materials were used in this study: PVC, lined ductile iron (LDI), unlined cast iron (UCI) and galvanized steel (G). The aged pipes were obtained from actual TBW distribution systems in Pinellas, Pasco, and St. Petersburg Counties, Florida. Based on surface morphology and chemistry studied by SEM/ EDS and XRD, no significant difference was found in terms of corrosion products for the same pipe material from different locations. 2.3. Pilot pipe distribution systems A total of eighteen pilot distribution systems were assembled with aged pipe materials that had received treated groundwater similar to the G1 source. Fourteen of these lines, referred to as hybrid lines, were made of PVC, LDI, UCI and G pipes in that order. The four remaining lines were made of single pipe material. The nominal length of each line was approximately 30 m. Pipe diameters were 15 cm with the exception of galvanized which was 5.6 cm. The pilot systems were operated with a five-day and a two-day hydraulic residence times (HRT). The flow velocities were 0.25 and 0.625 m/h. The pilot systems were operated to reflect dead zones or worst case conditions in actual distribution systems. In order to mimic the hydraulic conditions in a full-scale system, PDSs were flushed weekly with five pipe volumes at 0.3 m/s. Influent and effluent samples were monitored for dissolved and total iron, pH, alkalinity, temperature, chloride, sulfate, calcium, magnesium, sodium, silica, dissolved oxygen, and chlorine residual. Dissolved iron was measured after sample filtration using 0.45 lm filter. Total iron was determined without filtration and included particulate and dissolved iron. Z. Tang et al. / Corrosion Science 48 (2006) 322–342 325 2.4. Pipe coupon study Individual cradles were developed for every pipeline for the pipe coupon study. Each cradle consisted of 10 cm PVC pipe housing and 8.8 cm PVC pipe coupon holders. The length of the cradles was approximately 3 m. Each cradle was connected in series to a pilot distribution system so that equivalent coupon, PDS water quality and flow velocity were maintained. The pipe coupon holders were easily removed from the cradle and replaced after each experimental phase for bio-film and chemical deposit analysis. The pipe coupons of four different materials were cut into two rectangular coupons (10 · 7.5 cm): initial and final samples. The back of each pipe coupon was wrapped with Teflon tape to prevent exterior contamination. The pipe coupons were mounted and fixed on coupon holders. The coupons were removed from the cradles after a 3-month incubation period. 2.5. Pipe surface characterization Various surface characterization techniques have been employed to identify the corrosion products on iron pipe materials [13–23]. XRD, RMS, and XPS analyses were performed in this study. XRD is a versatile, non-destructive analytical technique for identification of the various crystalline phases present in unknown powdered and solid samples. RMS provides information about molecular vibrations that can be used for sample identification and quantification. The technique allows the identification of homogeneous materials on the basis of their molecular vibrational spectra, obtained by excitation with visible laser light. Surface analysis by XPS, on the other hand, involves irradiating a solid in vacuum with monoenergetic soft X-ray and analyzing the emitted electron by energy. Because the mean free path of electron in solids is very small, the detected electrons originate from only the top few atomic layers, making XPS a unique surface-sensitive technique for chemical analysis. The XRD analysis was carried out on powder, which had been previously scratched from the corrosion layer on the coupons and grounded in a mortar. The equipment used consisted in a 3720 X-ray diffractometer with a fine structure airinsulated X-ray tube with a copper anode (Cu Ka1 5406 Å). Full X-ray diffraction patterns were recorded for the scan angles (2h) from 10 to 80 to identify iron oxides. Using the ICDD-PDF database, individual crystalline phases were identified from their observed XRD patterns. RMS analysis was done by using micro-Raman system (Renishaw, Model: RM 1000 B). A 25 mW argon-ion laser (514 nm) was incident on the sample surface and the Raman scatters were collected. Raman spectrum was obtained in the range of 100–1200 cm1 as the expected corrosion products of iron and steel generally show their peaks in this range. Calibration is done with two standard samples: pure alumina silicon wafer. For XPS analysis, 4 · 4 mm samples were cut from pipe coupons and stored in the desiccators to remove adsorbed moisture. The XPS scan was performed using a 5400 PHI ESCA. The base pressure during analysis was 109 Torr. Mg-Ka X-radiation 326 Z. Tang et al. / Corrosion Science 48 (2006) 322–342 (1253.6 eV) was used at 350 W. Both survey and high-resolution narrow spectra were recorded with electron pass energy of 44.75 eV and 35.75 eV, respectively, to achieve the maximum spectral resolution. Any charging shift produced by the samples was carefully removed by using a BE scale referred to C(1s) BE of the hydrocarbon part of the adventitious carbon line at 284.6 eV. Non-linear least squares curve fitting was performed using a Gaussian/Lorentzian peak shape after background removal. 3. Results and discussion 3.1. Identification of corrosion products on aged pipe materials Surface morphology of the test coupons of four different aged pipe materials was first examined to determine the surface features of the historical corrosion products on the pipe surface which was in practical equilibrium with conventionally treated groundwater (G1) in the distribution systems. Representative optical micrographs showing reddish brown corrosion products are presented in Fig. 1. There were no Fig. 1. Micrograph pictures of interior corrosion products on aged (a) unlined cast iron; (b) galvanized steel; (c) lined ductile iron; (d) PVC pipes taken from distribution systems receiving conventional groundwater. Z. Tang et al. / Corrosion Science 48 (2006) 322–342 327 significant visual differences among coupons of the same material. The UCI coupons exhibited very thick corrosion layers, while thinner corrosion layers were found for G coupons. As expected, the corrosion deposits were significantly less on LDI and PVC coupons. The XRD patterns of the corrosion products on cast iron, galvanized steel, and lined ductile iron is shown in Fig. 2. a-FeOOH, b-FeOOH, c-Fe2O3, Fe3O4, FeCO3 and SiO2 crystalline compounds were found on the cast iron coupons. The primary crystalline compounds on the G coupon were a-FeOOH, b-FeOOH, c-Fe2O3, Fe3O4, and ZnO as shown in Fig. 2(b). Major peaks for b-FeOOH and ZnO were observed in Fig. 2(b). No clear crystalline phase was found on the internal pipe surface of the LDI coupons because only small iron corrosion deposits were found on the internal pipe surfaces. These deposits probably were deposited prior to extraction and came from unlined metal surfaces in the actual distribution system. The XPS survey spectra showed the primary UCI scale elements were C, O, Fe, Si, and N. A significant amount of Zn was found in the G scale by the XPS survey scan. High resolution scan of Zn(2p3/2) peak indicated the presence of ZnO and Zn(OH)2 on the surface of the corrosion products, verifying the XRD results shown in Fig. 2(b). As expected, for LDI and PVC coupons, no significant iron signals were observed in the XPS scan spectra. 3.2. Iron release from aged pipe materials The average water quality of G1, S1 and RO for one year (12/15/01 to 12/14/02) is summarized in Table 1. G1 had the highest alkalinity, while S1 and RO exhibited the highest sulfate and chloride, respectively. The high S1 sulfate was due to ferric sulfate coagulation. The high RO chlorides came from the addition of inorganic sea salt, which simulate Cl concentrations in RO permeate produced from sea water and match the finished water quality of the desalination plant in Tampa, Florida. The average values of total iron in the PDSs receiving G1, S1 and RO finished waters were 0.06 mg/L, 0.63 mg/L and 0.44 mg/L respectively. More than 90% of the total iron released was in the particulate form. As shown by these and other results, iron release from UCI and G pipe increased significantly with decreasing alkalinity [1,2]. Effluent PDS total iron concentration from single material lines were monitored over one year in four 3-month phases. The blend of influent PDS finished waters was changed every three months to vary PDS water quality. Table 2 shows the average water quality for each phase. The hydraulic retention time (HRT) was 5 days during Phases 1 to 3, and 2 days from the end of Phase 3 to the end of the project. The HRT was changed to maintain residual above 25 C. The source water was a blend of G1/S1/RO, specifically 23/45/32% for Phases 1 and 3, and 60/30/10% for Phases 2 and 4. The results are presented in Fig. 3 as a function of PDS material for each phase. As shown, the order of PDS effluent total iron release by material was UCI > G > LDI > PVC, which was expected. The greater iron release from cast iron pipes in Phases 1 and 3, relative to Phases 2 and 4, was attributed to low alkalinity and was caused by a smaller G1 percentage in the PDS feed water and decreased HRT. 328 Z. Tang et al. / Corrosion Science 48 (2006) 322–342 Fe 3 O4 γ -Fe 2 O3 Fe 3 O 4 FeCO 3 300 α -Fe γ-Fe 2O 3 Fe3O 4 FeCO 3 400 SiO 2 α -FeOOH Intensity (counts) 500 ∋ 600 -Fe β -FeOOH 700 200 100 0 10 20 30 40 (a) 50 60 80 β -FeOOH 1600 ZnO 1400 Fe3 O4 Fe-C Fe2 O3 ZnO γ -Fe O 2 3 400 CaCO 3 600 α -FeOOH Zn5(CO 3) 2(OH)6 800 Fe-C α -Fe 1000 γ -Fe 2 O3 /ZnO/Fe 3 O4 1200 Intensity (counts) 70 2-Theta (deg.) 200 0 10 20 30 40 (b) 50 60 70 80 60 70 80 2-Theta (deg.) 140 Intensity (counts) 120 100 80 60 Fe-C 20 γ -Fe 2 O3 CaCO 3 40 0 10 (c) 20 30 40 50 2-Theta (deg.) Fig. 2. Representative XRD patterns of corrosion products on the interior of aged (a) unlined cast iron; (b) galvanized steel; (c) lined ductile iron pipes exposed to conventionally treated groundwater. Z. Tang et al. / Corrosion Science 48 (2006) 322–342 329 Table 1 Average water quality of primary water sources Water quality parameter G1 S1 RO Alkalinity (mg/L as CaCO3) pH Chloride (mg/L) Sulfate (mg/L) Sodium (mg/L) Calcium (mg/L) SiO2 (mg/L) Total dissolved solids (mg/L) Dissolved oxygen (mg/L) Temperature (C) UV-254 (cm1) 207 7.87 28.9 26.1 18.0 84.8 13.7 421 6.53 24.2 0.060 60 7.92 37.1 190.2 48.7 56.5 10.0 423 6.31 24.0 0.024 69 8.06 91.7 5.8 52.3 28.7 3.5 267 5.15 24.1 0.028 G1 is conventional groundwater treated by aeration, S1 is surface water treated by enhance ferric sulfate coagulation, and RO is saline water desalted by RO membrane. Water quality data were collected from 12/ 15/01 to 12/14/02. Table 2 Operating conditions and water quality for single material PDSs Phase Phase Phase Phase Phase 1 2 3 4 Blending (G1/S1/RO%) HRT (days) pH Alkalinity (mg/L as CaCO3) Chloride (mg/L) Sulfate (mg/L) Temperature (C) 23/45/32 60/30/10 23/45/32 60/30/10 5 5 5 2 8.06 7.94 7.82 7.89 110 158 96 125 56 42 59 39 109 76 77 56 18.8 26.1 26.7 18.5 The pilot study was conducted in four three-month phases (12/15/01–12/14/02). Note that water quality varied slightly under the identical blending ratios (e.g. Phases 1 and 3 or Phases 2 and 4) because of the seasonal changes in raw source water qualities. Phase 1: 12/15/01–03/14/02, Phase 2: 03/15/02–06/14/02, Phase 3: 06/15/02–09/14/02, Phase 4: 09/15/02–12/ 14/02. Fig. 4(a) shows the XRD patterns of the corrosion products on UCI coupons after a 3-month exposure to G1/S1/RO (23/45/32%). The crystalline compounds on the UCI coupons were a-FeOOH, b-FeOOH, c-Fe2O3, Fe3O4, FeCO3, and SiO2. The c-Fe2O3, Fe3O4 and FeCO3 on the UCI coupons increased during incubation. More background noise was noticeable in these scans, which implied more amorphous phases were in the corrosion scales following a 3-month exposure to new water. In other words, the corrosion process was ongoing. The XRD pattern of corrosion products on G coupons is presented in Fig. 4(b) and shows a-FeOOH, b-FeOOH, Fe2O3, Fe3O4, ZnO and Zn5(CO3)2(OH)6 were the primary corrosion products. As seen in Fig. 4(b), a-FeOOH and b-FeOOH decreased, and Fe2O3 and Fe3O4 became the major corrosion products after a 3-month exposure to G1/S1/RO water. Unlike UCI, FeCO3 was not found in the XRD analysis of G, and ZnO and Zn5(CO3)2(OH)6 were observed. The XRD analyses of LDI and PVC coupons showed no obvious crystalline compounds, with exception of small amounts of Ca and Fe precipitates such as CaCO3 and c-Fe2O3. Amorphous 330 Z. Tang et al. / Corrosion Science 48 (2006) 322–342 Fig. 3. Effect of pipe materials on total iron release. The detailed operating conditions and water qualities are summarized in Table 2 for each phase. The total iron data were obtained from single material lines in order to avoid any possible contaminations caused by iron release from the different pipe materials in the upstream. phases were present in the samples. Consequently, background noises in the XRD spectra were high and covered minor iron phase peaks. The existence of these iron phases was confirmed by Raman spectroscopy (RMS). A representative Raman spectrum of a UCI coupon is presented in Fig. 5. The band 285/740/1083 revealed the existence of significant amounts of FeCO3. The a-FeOOH, b-FeOOH, c-Fe2O3 and Fe3O4 were identified by the band of 208/250/290/394 cm1, 310/390/705 cm1, 250/390/692 cm1 and 224/550/670 cm1, respectively. It is clear that RMS spectra verified the results of XRD analysis. Lastly, the XPS analysis performed on four different pipe coupons of single material lines showed the results similar to those of XRD analysis except that no FeCO3 was detected, which is due to FeCO3 instability. 3.3. Correlation between surface characteristics and iron release Blended finished waters were also fed to the hybrid PDSs which consisted of PVC, LDI, UCI and G pipes in series, and coupons cradles identical to the single material PDSs. The coupons were incubated for three months, harvested before phase changes and analyzed by XRD and XPS. Ninety percent of the iron found in the coupon scales came from the UCI pipes. The remaining 10% of the iron came from Z. Tang et al. / Corrosion Science 48 (2006) 322–342 331 γ -Fe2 O3 Fe3O4 150 Fe3O4 FeCO3 FeCO3 200 Fe-C FeCO3 250 γ -Fe2 O3 FeCO 3 α -FeOOH 300 CaCO3 Intensity (counts) 350 FeCO 3 400 β -FeOOH 450 100 50 0 10 20 30 40 50 60 80 Fe 2 O3 1600 ZnO Fe3O4 ZnO ZnO Fe-C Fe3O4 Fe-C β -FeOOH 600 α -FeOOH 800 Zn5 (CO3)2(OH)6 1000 Fe3 O4 CaCO 3 1200 α -FeOOH β -FeOOH ZnO 1400 Intensity (counts) 70 2-Theta (deg.) (a) 400 200 0 10 (b) 20 30 40 50 60 70 80 2-Theta (deg.) Fig. 4. Representative XRD patterns of corrosion products on (a) unlined cast iron; (b) galvanized steel pipe coupons following three months of exposure to G1/S1/RO (23/45/32%) water in single material lines. the G pipes [2]. Thus, iron release from UCI and G pipes was investigated using PDS influent water quality created by blends of G1 (100%), S1 (100%), RO (100%), G1/S1 (55/45%), G1/RO (68/32%) and G1/S1/RO (62/27/11%). The UCI XRD patterns of coupons exposed to these six different blended waters showed little difference, except that G1 exhibited the lowest FeCO3 content as indicated by the relative FeCO3 peak intensity. The XRD spectra of the G coupons also showed no significant variation. Since the XRD was done on powdered samples, the change following three-months of incubation might have occurred only in the first 1– 3 lm of the surface scale and was masked by sample preparation. 332 Z. Tang et al. / Corrosion Science 48 (2006) 322–342 FeCO3 FeCO3 Intensity α -FeOOH,γ -Fe2O3 Fe3O4 FeCO3 Fe3O4 Fe3O4 γ -Fe2O3, β -FeOOH β -FeOOH α -FeOOH 150 350 550 750 950 -1 Raman Shift (cm ) Fig. 5. Representative RMS patterns of corrosion products on unlined cast iron pipe coupons following three months of exposure to G1/S1 (55/45%) water. The XPS technique is very surface sensitive and provided information on chemical changes that occurred at the interface between water and inorganic film on pipe surface due to dissolution and precipitation of corrosion products caused by changes in water quality. Standard peak positions (i.e., 710.4 eV for Fe3O4, 710.8 eV for Fe2O3, and 711.8 eV for FeOOH) and FWHM (i.e., 3.6 eV for Fe3O4, 3.8 eV for Fe2O3 and FeOOH) of iron species were determined by scanning pure samples and comparison to the NIST XPS Database. The differences of binding energy of various iron phases are significant (>0.3 eV) and can be differentiated. Any samples charging shifts were carefully removed by using a BE scale referred to as C(1s) BE of the hydrocarbon part of the adventitious carbon line at 284.6 eV. Non-linear regression based on minimization of least squares of the error was used to correlate the iron content in the solid phases of the iron corrosion products to a Gaussian/Lorentzian curve for peak shape. Following this procedure, the content accuracy was within a ±0.1a (a is the peak area percentage given by Fe peak deconvolution). Fig. 6(a) presents the detailed scan and the deconvolution of Fe2p3/2 peak of unlined cast iron aged coupon exposed to G1(100%). The deconvolution of Fe(2p3/2) peak revealed four separate peaks, which corresponded to Fe3O4, Fe2O3, FeOOH and the minor peak. Minor peaks shown here were in the range from 713 eV to 715.5 eV. It might have two sources: (1) the minor Fe2+(2p3/2) peaks from FeSO4 and/or the Fe2+ portion of Fe3O4; and (2) the Fe3+(2p3/2) peak of Fe2(SO4)3. FeSO4 and Fe2(SO4)3 came from the deposition of soluble iron sulfate species after the UCI coupons were taken from the high sulfate finished waters produced by Fe2(SO4)3 coagulation. The deconvolution of Fe(2p3/2) peak of G coupons is presented in Fig. 6(b) and also shows the presence of Fe2O3, Fe3O4, and FeOOH. The curve fit summary of the deconvolution of Fe(2p3/2) peak is listed in Table 3 for UCI and G coupons exposed to these six Z. Tang et al. / Corrosion Science 48 (2006) 322–342 333 Min: 0 Max: 2345 Fe3O4 N(E) Minor Peak Fe2O3 FeOOH 740 736 732 728 724 720 716 712 708 704 700 Binding Energy (eV) (a) Min: 0 Max: 4127 Fe2O3 N(E) Minor Peak Fe3O4 FeOOH 740 (b) 736 732 728 724 720 716 712 708 704 700 Binding Energy (eV) Fig. 6. Representative high-resolution XPS scan and the deconvolution of Fe(2p3/2) peak of corrosion products formed on (a) cast iron; (b) galvanized steel pipe coupons following 3-month exposure to conventionally treated groundwater. water environments. As shown, the peak area percentage, which stands for the relative amount of corrosion products in the scale, varied with water quality. The correlation (R2) between Fe(2p3/2) peak area percentage of UCI coupons and the total and dissolved iron levels from the hybrid lines are schematically presented in Fig. 7. A linear relationship between Fe3O4 and total and dissolved iron release from the hybrid PDS is shown in Fig. 7(a). The slopes are negative, which means iron release decreased as Fe3O4 in the corrosion scale increased. Stability of Fe3O4 in the scale reduces iron release. Another correlation was found between peak area percentages of Fe2O3 and pilot iron release data. Fig. 7(b) showed that dissolved and total iron release increased with increasing Fe2O3. Fe2O3 plays an important role on iron release in water. But Fe2O3 solubility is very low and actual dissolved iron concentration was much higher than predicted by Fe2O3 equilibrium, which indicates that Fe2O3 should not be the controlling solid phase of iron release. 334 Z. Tang et al. / Corrosion Science 48 (2006) 322–342 Table 3 Curve fit summary of the deconvolution of Fe(2p3/2) peak of cast iron and galvanized steel coupons exposed to six different blended water environments for 3 months Cast iron Galvanized steel G1 (100%) Fe3O4 Fe2O3 FeOOH Minor peak 58.3% 22.5% 6.2% 13.0% Fe3O4 Fe2O3 FeOOH Minor peak 23.9% 56.3% 3.4% 16.4% S1 (100%) Fe3O4 Fe2O3 FeOOH Minor peak 0.0% 47.3% 30.9% 21.8% Fe3O4 Fe2O3 FeOOH Minor peak 19.5% 51.9% 10.4% 18.2% RO (100%) Fe3O4 Fe2O3 FeOOH Minor peak 47.1% 32.1% 4.6% 16.2% Fe3O4 Fe2O3 FeOOH Minor peak 39.0% 44.7% 4.3% 12.0% G1/S1 (55/45%) Fe3O4 Fe2O3 FeOOH Minor peak 29.8% 45.1% 8.8% 16.4% Fe3O4 Fe2O3 FeOOH Minor peak 24.4% 24.4% 34.6% 16.6% G1/RO (68/32%) Fe3O4 Fe2O3 FeOOH Minor peak 41.6% 34.9% 7.0% 16.5% Fe3O4 Fe2O3 FeOOH Minor peak 46.0% 32.4% 0.7% 20.9% G1/RO/S1 (62/27/11%) Fe3O4 Fe2O3 FeOOH Minor peak 45.5% 29.6% 12.4% 12.5% Fe3O4 Fe2O3 FeOOH Minor peak 11.8% 66.2% 6.9% 15.1% In this study, FeCO3 was detected by XRD and RMS, but not by XPS. HeuerÕs study [17] showed that FeCO3 transformed to Fe2O3 completely after exposure to air at room temperature for 4 h. In our study, iron coupons were taken from pilot distribution systems, stored in dessicators for 2 weeks, prepared for analysis and analyzed. In the long storage period, FeCO3 transformation to Fe2O3 occurred in the surface layer prior to XPS analysis as shown by the Fe2O3 peak area found by XPS. The positive linear correlation between FeCO3 in the surface layer and iron concentration indicates FeCO3 is the controlling solid phase for iron release in UCI in drinking water distribution systems. Correlations between surface characteristics of aged G pipes and iron release were also examined. Table 4 summarizes the coefficients of determination (R2) for regression XPS and pilot iron data. No clear relationship was found between different iron species and iron release levels. All R2 values were less than 0.4. This is not surprising since elevated iron levels were primarily due to the disruption and releases of chemical films formed on cast iron pipes. Z. Tang et al. / Corrosion Science 48 (2006) 322–342 0.7 Fe3O4 vs. Dissolved Iron 0.05 0.6 0.04 0.5 R2 = 0.68 0.4 0.03 0.3 0.02 0.2 2 R = 0.75 0.01 0.1 0 0 (a) 5 10 20 25 30 35 40 45 50 55 0 65 60 Fe3O4 (%) 0.8 0.06 Fe2O3 vs. Total Iron 0.7 Total Iron (mg/L) 15 Fe2O3 vs. Dissolved Iron 0.05 0.6 0.04 0.5 R2 = 0.47 0.4 0.03 0.3 0.02 0.2 R2 = 0.88 0.1 Dissolved Iron (mg/L) Total Iron (mg/L) 0.06 Fe3O4 vs. Total Iron Dissolved Iron (mg/L) 0.8 335 0.01 0 0 20 25 30 (b) 35 40 45 50 Fe2O3 (%) Fig. 7. Fe3O4 and Fe2O3 versus actual total and dissolved iron released from hybrid pilot distribution lines receiving various blended waters (Phase 3). Table 4 Correlation (R2) between total and dissolved iron release from hybrids lines and relative peak areas of different iron corrosion products on galvanized steel pipe internal surfaces determined by XPS iron peak analysis R2 Total iron Dissolved iron Fe3O4 Fe2O3 FeOOH Minor peak 0.002 +0.005 0.001 +0.002 0.318 0.001 +0.353 +0.328 Note that + and signs stand for positive and negative correlations, respectively. 3.4. Kinetic effects on iron release and surface characterization The change of scale formation and iron release with respect to time was investigated in this work. Mutoti et al. [26] found that iron release from UCI pipe came from the interior wall of the pipe and hence, could be accurately described by a zero order kinetic model. Imran et al. [26] found that iron release from UCI and G pipe over a five day HRT was accurately predicted by a steady state water quality model. 336 Z. Tang et al. / Corrosion Science 48 (2006) 322–342 The models developed by Mutoti and Imran were published in the AwwaRF Final Report ‘‘Effects of Blending on Distribution System Water Quality’’, Taylor et al. [26] and showed total iron release was dependent on pipe material, water quality, geometry, and velocity. Dietz [27] found that the time to reach steady state total iron in the bulk water following a change in water quality was approximately one month and was accurately described by a first order model, which was dependent on pipe material, water quality and time. These results found total iron release came from the interior pipe wall and steady state total iron release was dependent on pipe material, geometry and water quality; however the concentration of total iron released in the bulk water decreased with velocity. The change in surface characterization over time was investigated by exposing coupons to G1, S1, RO and a G1/S1/RO blend for one, three and six month periods and analyzing the coupons by XPS. As shown in Fig. 6, the results indicate FeOOH, Fe2O3, and Fe3O4, were the major corrosion products in the top surface layer. Previously, Fe2O3 was shown to correlate well with total and dissolved iron. Because the detected Fe2O3 might have been transformed from FeCO3, and the observed dissolved iron concentrations were much higher than Fe2O3 solubility, the correlation of Fe2O3 with iron release might imply the correlation of FeCO3 with iron release. Fig. 8 shows that Fe2O3 peak area percentage does not significantly change for a one, three, or six months incubation time, which implies the Fe2O3 (FeCO3) content in the surface layer reached equilibrium in one month, which was consistent with Dietz [27]. The results also show that even though the Fe2O3 peak area % changed to some degree with time and source waters, all of them follow the trend: S1 > RO > G1/S1/RO > G1. Higher percentages of Fe2O3 (FeCO3) area corresponded to higher iron release. 3.5. Thermodynamic equilibrium iron release model The soluble iron release from aged pipe surfaces may be predicted using thermodynamic calculations based on equilibrium constants associated with solid phases in 60 G1 S1 RO G1/S1/RO Fe2O3 Peak Area (%) 50 40 30 20 10 0 1 2 3 4 5 6 7 Elapsed Time (Months) Fig. 8. Effect of incubation time on surface characteristics (Fe2O3 peak area %). Z. Tang et al. / Corrosion Science 48 (2006) 322–342 337 corrosion scales. Such models are inherently flawed as particle release is not considered; however these models may provide insight into release mechanisms. Based on XRD and XPS analyses of UCI coupons following incubation, siderite (FeCO3) was assumed to be the controlling solid phase for soluble iron. Pourbaix (potential–pH) diagrams were created and also suggested that FeCO3, Fe(OH)2 or Fe(OH)3 existed within the free energy and pH conditions of our pilot study. The thermodynamic model assumes all soluble iron is in equilibrium with all solid phases considered for model development. Concentrations of dissolved complexes (e.g. carbonate, chloride and sulfate) were estimated after consideration of related reactions. The summation of all dissolved iron species is total bulk water iron and is shown in following equation. FeT ¼ ½Fe2þ þ ½FeOHþ þ ½FeðOHÞ02 þ ½FeðOHÞ 3 þ 0 0 þ ½FeHCOþ 3 þ ½FeCO3 þ ½FeSO4 þ ½FeCl 1010:89 ½Hþ 109:5 1020:6 1032 1 þ þ þ 102 Alka þ ½Hþ Alka 1010:3 ½Hþ 2 ½Hþ 3 ! 1010:3 4:38 2:25 2 0:9 þ 10 Alka þ 10 ½SO4 þ 10 ½Cl ½Hþ ¼ Table 5 Chemical reactions used for thermodynamic modeling [24,25] Reactions 2+ pK + + Fe + H2O M FeOH + H Fe2þ þ 2H2 O $ FeðOHÞ02 þ 2Hþ þ Fe2þ þ 3H2 O $ FeðOHÞ 3 þ 3H þ $ FeHCO Fe2þ þ HCO 3 3 0 Fe2þ þ CO2 3 $ FeCO3 2 2þ Fe þ CO3 $ FeCO3ðSÞ Fe2+ + 2H2O M Fe(OH)2(S) + 2H+ FeCO3ðSÞ þ 2H2 O $ FeðOHÞ2ðSÞ þ 2Hþ þ CO2 3 0 Fe2þ þ SO2 4 $ FeSO4 2+ + Fe + Cl M FeCl Fe3+ + H2O M Fe(OH)2+ + H+ þ Fe3þ þ 2H2 O $ FeðOHÞþ 2 þ 2H 4þ 3þ 2Fe þ 2H2 O $ Fe2 ðOHÞ2 þ 2Hþ Fe3þ þ 3H2 O $ FeðOHÞ03 þ 3Hþ þ Fe3þ þ 4H2 O $ FeðOHÞ 4 þ 4H þ 3Fe3þ þ 4H2 O $ Fe3 ðOHÞ5þ þ 4H 4 3+ Fe + 3H2O M (am) Fe(OH)3(S) + 3H+ þ Fe3þ þ SO2 4 $ FeSO4 2 3þ Fe þ 2SO4 $ FeðSO4 Þ 2 Fe3+ + Cl M FeCl2+ Fe3þ þ 2Cl $ FeClþ 2 Fe3þ þ 3Cl $ FeCl03 9.50 20.60 32.00 2.00 4.38 10.89 12.90 23.79 2.25 0.90 3.05 6.31 2.91 13.80 22.7 5.77 3.20 4.04 5.38 1.48 2.13 1.13 338 Z. Tang et al. / Corrosion Science 48 (2006) 322–342 Alka is an abbreviation for alkalinity, which is in mol/L. Note that the model is developed based on 0.38 V and 25 C. These are reference conditions for waters in the pilot study. The chemical reactions involved in the model development are summarized in Table 5. According to the ORP values measured in field, Fe2+ exceeded Fe3+. Thus ferric species were ignored in the model development. The siderite model was used to predict the iron release for the expected distribution system water quality. Fig. 9 shows the predicted and actual iron concentrations as a function of pH and alkalinity for a two and five day HRT. The actual total iron release exceeds the predicted total iron release and the actual total iron release for five day HRT exceeds the total iron release for a two day HRT, as predicted by Fig. 9. Actual and predicted total and dissolved iron versus pH and alkalinity using the siderite model. Data taken from hybrid pilot distribution lines receiving blended waters over one year. Z. Tang et al. / Corrosion Science 48 (2006) 322–342 1.0 Total Iron 339 Predicted Iron (mg/L) 0.8 0.6 0.4 0.2 0.0 0 50 100 150 200 250 Alkalinity (mg/L as CaCO3) Fig. 10. Predicted and actual total iron versus alkalinity. Mutoti et al. model [26]. As ninety percent or more of the average total released iron was in the particulate form, the equilibrium model would not be expected to accurately predict total iron release. Dissolved iron release as predicted by siderite model exceeded the actual release of dissolved iron but was less than actual total iron release. Although the siderite model did not consider particulate release, the siderite model predicts iron will decrease as pH and alkalinity increase, which was observed with the actual data and illustrates the utility of equilibrium models for identification of trends. This trend is also clearly observed with actual five day HRT data with alkalinity as shown in Fig. 10. Other equilibrium models were developed assuming Fe(OH)2 or Fe(OH)3 as the controlling solid phase. The predicted values of Fe(OH)2 model were much higher (1000 times) than actual TBW pilot total iron data [2]. The Fe(OH)3 model grossly under-predicts iron release and the predicted values are 200,000 times lower than actual TBW pilot dissolved iron data. Thus, the FeCO3 model produced the least error was the best equilibrium model for predicting total iron, which indicates that total iron release was significantly affected by the FeCO3 solid phase as has been suggested by others [12]. However, these results and other references associated with this project [26,27] show that total iron release was primarily particulates and was most accurately described by empirical models based on pipe water quality, geometry, hydraulics and time. 4. Conclusions Primary inferences from this study are as follows: • A pilot pipe distribution study conducted over one year under various blended waters (i.e. blends of ground, surface and saline waters) showed that iron 340 Z. Tang et al. / Corrosion Science 48 (2006) 322–342 release from aged pipes varied with blended water qualities as well as aged pipe materials. Specifically, total iron concentration increased significantly when aged pipes were exposed to water quality that was different from historical groundwater, such as treated surface water and desalinated seawater water quality. Aged pipe materials also affected iron release: the order of aged pipe material on total iron release was unlined cast iron > galvanized steel lined ductile iron > PVC, which demonstrated the importance of pipe surface characteristics on iron release. • Based on XRD and RMS results, FeCO3, a-FeOOH, b-FeOOH, c-Fe2O3, Fe3O4 were identified as primary corrosion products of unlined cast iron pipes. Similar solid phases were identified for galvanized steel pipes except that no FeCO3 was present. Significant amounts of zinc oxides (e.g. ZnO) were detected in corrosion scales of galvanized steel. No or very small iron corrosion deposits were found on the internal surface of aged lined ductile iron and PVC pipes. • No significant FeCO3 in the corrosion scales of unlined cast iron pipes was detected by XPS analysis because FeCO3 is very unstable and would transform into Fe2O3 on contact with air. XPS showed iron release decreased as less soluble Fe3O4 increased in the corrosion scales, and that iron released increased as the percentage of the more Fe2O3 increased in scale. Dissolved iron concentrations were much higher than the predicted by Fe2O3 solubility, suggesting that iron released in distribution systems is controlled by the solubility of FeCO3 which could transform into Fe2O3 when exposed to air. • A thermodynamic siderite (FeCO3) model was developed assuming FeCO3 is the controlling solid phase for dissolved iron. The siderite model as any equilibrium model does not consider particulate iron, which accounted for more than ninety percent of total iron and did not accurately predict total iron release. However, the model did predict that total iron release decreased as alkalinity and pH decreased as observed in pilot study, which illustrated the utility of equilibrium models for identification of trends. Acknowledgments Support for this research was provided by Tampa Bay Water (TBW), and AWWA Research Foundation (AwwaRF). 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