ARTICLE IN PRESS
WAT E R R E S E A R C H
42 (2008) 714– 722
Available at www.sciencedirect.com
journal homepage: www.elsevier.com/locate/watres
Removal of natural organic matter and THM formation
potential by ultra- and nanofiltration of surface water
Ángeles de la Rubia, Manuel Rodrı́guez, Vı́ctor M. León, Daniel Prats
Water and Environmental Science Institute, University of Alicante, PO Box 99, 03080 Alicante, Spain
ar t ic l e i n f o
abs tra ct
Article history:
Natural organic matter (NOM) and trihalomethane formation potential (THMFP) removal
Received 31 January 2007
were evaluated by ultrafiltration (UF) and nanofiltration (NF). Ten different raw water
Received in revised form
sources in Alicante province (SE Spain) were analysed.
27 July 2007
Accepted 31 July 2007
Five types of membranes of different materials were tested with a dead-end-type stirred
UF cell. Additional measurements, such as dissolved organic carbon, ultraviolet absorbance
(254 nm), THMFP, ion concentration, pH, conductivity, etc. were made on raw water,
Keywords:
Natural organic matter
Size exclusion chromatography
Surface water
Trihalomethane formation potential
Ultrafiltration/nanofiltration
permeates and concentrates. The SUVA value was used to determine the hydrophobicity of
the water analysed. The elimination of NOM and THMFP is correlated with the molecular
weight (MW) of NOM determined by size exclusion chromatography (SEC).
The flux decline trends were correlated with cation concentration. NOM removal by UF
is low, which correlates with the average MW determined by SEC with an average value of
922 g/mol (between 833 and 1031 g/mol). However, the NOM removal obtained with the
NF90 and NF270 NF membranes for all water sources is almost complete (90%). THMFP
removal is related to hydrophobicity and permeability of membrane. The NFT50 membrane
removes almost 100% of the THMFP of more hydrophobic waters.
& 2007 Elsevier Ltd. All rights reserved.
1.
Introduction
Natural organic matter (NOM) is a complex matrix of organic
compounds present in natural surface water sources. Not
only does it affect the odour, colour and taste of water but it
also affects several processes in drinking water treatment
(Aoustin et al., 2001). It is a precursor of trihalomethanes
(THMs) after chlorination of drinking water (Park et al., 2005;
Zhang and Minear, 2006). Chlorination has been the main
means for disinfecting municipal drinking water in many
countries, including Spain, for many decades and it will
continue to be the most common disinfection process. The
added chlorine reacts with naturally occurring organic matter
to form a wide range of undesired halogenated organic
compounds, often referred to as disinfection by-products
(DBPs). Among the most widely occurring by-products are
THMs, haloacetic acids, haloacetonitriles and haloketones.
Corresponding author. Tel.: +34 965903400x2920; fax: +34 965903826.
E-mail address: angeles.rubia@ua.es (A. de la Rubia).
0043-1354/$ - see front matter & 2007 Elsevier Ltd. All rights reserved.
doi:10.1016/j.watres.2007.07.049
Several treatment processes or their combinations are
capable of removing NOM from water. Coagulation has often
been used as a pretreatment for the removal of NOM to meet
water quality requirements and in some cases where microfiltration alone is inadequate (Lahoussine-Turcaud et al., 1990;
Wiesner et al., 1992; Vickers et al., 1995). The application of
advanced oxidation processes for the removal of organics
from water is gaining importance in water treatment (Murray
and Parsons, 2004). Matilainen et al. (2006) evaluated the
utilisation of active carbon to adsorb NOM in the final stages
of surface water treatment.
NOM can be effectively rejected during filtration by ultrafiltration (UF) and nanofiltration (NF) membranes, requiring
relatively low pressure (Yoon et al., 2005). In fact, during the
last decade the removal of NOM from ground and surface
water for drinking water production was increasingly carried
out by NF (Gorenflo et al., 2002). UF membranes remove NOM
ARTICLE IN PRESS
WAT E R R E S E A R C H
715
42 (2008) 714 – 722
by a sieving mechanism, and a previous coagulation treatment could improve NOM removal and decrease the resistance of membranes (Lahoussine-Turcaud et al., 1990). NF
membranes are able to effectively remove NOM through a
combination of size exclusion and physical–chemical interactions such as electrostatic repulsion and adsorption
(Teixeira and Rosa, 2006). This process combines the advantages of a continuous production of quality water: almost
total NOM rejection (490%) achieved with NF membranes
having a 300 g/mol molecular weight cut-off (MWCO), high
recovery (85–90%) and a low demand for chemicals. NF
membrane water treatment processes not only remove NOM
from surface water but also remove multivalent ions and
small hazardous microcontaminants (e.g., pesticides, toxins,
endocrine disruptors, etc.) (Gorenflo et al., 2002).
Therefore, a membrane is a physical barrier that rejects
macromolecules larger than the membrane pore size. This
explains only the steric exclusion mechanism. However, NOM
comprises a wide variety of macromolecules having several
functional groups influencing NOM charge and hydrophobicity. Thus, to optimise the operation of NF and UF membranes, for the minimisation of the aforementioned adverse
aspects, not only the quantitative amount of NOM removed
by the membranes but also the qualitative changes in the
NOM characteristics (molecular weight (MW) and hydrophobicity) from the feed to the permeate water should be
rigorously considered (Lee et al., 2005; Yoon et al., 2005).
MW and MW distributions are important factors in NOM
characterisation because they relate to DBP formation potential (Amy et al., 1987).
This paper focuses on the filtration of NOM from natural
water using UF and NF membranes. The objective of this
study was to investigate the UF and NF of natural surface
water with different physicochemical properties. The work
focused on characterising the MW distribution of surface
waters in the province of Alicante, the flux evolution, the
rejection of NOM and ions (Ca2+, Mg2+ and others), the quality
of the NOM in the permeate and the reactivity of THM
formation potential (THMFP).
2.
Materials and methods
2.1.
Source water
Ten sources of water, including water reservoirs (Crevillente,
Guadalest, La Pedrera, Tibi and Villajoyosa), different water
channels (Taibilla, Mayayo, Reguerón and Reina) and the
Segura River, were used to perform dead-end stirred-cell
membrane tests. The samples were collected during the
winter of 2006. All membrane filtration tests were performed
with source water that was prefiltered using a 0.45 mm filter,
corresponding to the specification for dissolved organic
carbon (DOC).
Several analytical methods were utilised to quantify
NOM content: DOC, ultraviolet absorbance (UVA) at
254 nm (UVA254) and specific UVA (SUVA ¼ UVA254/DOC).
The UVA of NOM is attributed exclusively to aromatic
chromophores. In a drinking water treatment area, UVA254
is widely used as an indicator of the overall NOM concentration (Chin et al., 1994). In addition, the SUVA has been widely
used as an index representing the relatively aromatic content
of the colloidal carbon and therefore the NOM (Yoon et al.,
2005).
For this study, DOC, UVA254, SUVA, pH and conductivity
were measured for each water source. The DOC (mg/L), SUVA
(L/mg m), pH and ionic strength (mol/L) values of each water
source are shown in Fig. 1.
In addition, the concentration of the following anions:
chloride, nitrate, sulphate and bicarbonate, and cations:
calcium, sodium, magnesium and potassium, were measured. These data, together with conductivity, are tabulated
in Table 1.
All the water samples used in these filtration measurements were stored at 4 1C prior to their use after they had
been prefiltered by 0.45 mm filtration. The raw water analysis
(except for ion concentration) was always repeated at the
same time the filtration measurements were taken. No
significant change in composition over the period of this
DOC
pH
SUVA
Ionic strength
0.1
0.08
6
0.06
4.5
0.04
3
0.02
1.5
0
a
ua
da
le
st
G
jo
yo
s
vi
lla
dr
er
a
Pe
ib
illa
La
Ta
bi
Ti
e
vi
lle
nt
ra
re
C
ío
R
R
eg
Se
ue
gu
ró
o
n
0
M
ay
ay
R
Ionic strength (mol/L)
7.5
ei
na
DOC (mg/l), SUVA (L/mg·m), pH
9
Fig. 1 – Raw water values of DOC (mg/L), SUVA (L/mg m), ionic strength (mol/L) and pH.
ARTICLE IN PRESS
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WA T E R R E S E A R C H
42 (2008) 714– 722
Table 1 – Ion concentration and conductivity of the raw water
Surface waters
K+
Ca2+
Na+
Mg2+
HCO
3
Reservoirs
Crevillente
Guadalest
La Pedrera
Tibi
Villajoyosa
7.7
1.9
4.7
16.9
4.3
143.6
72.7
128.8
243.8
157.7
149.7
10.1
75.6
300.1
65.2
108.4
12.1
77.4
82.8
43.9
16.0
17.8
18.6
29.8
19.0
Water channels
Mayayo
Reguerón
Reina
Taibilla
20.1
22.6
23.2
4.1
416.7
373.1
399.2
149.7
769.0
547.7
713.9
69.8
327.0
246.7
308.1
76.7
River
Segura
23.3
209.2
325.1
132.2
NO
3
SO2
4
Conductivity (mS/cm)
192.9
10.8
102.1
397.7
83.4
2.9
3.1
1.0
0.8
5.8
501.9
31.6
381.1
594.6
297.5
1675
370
1180
2470
1040
40.2
24.5
40.6
19.9
1047.7
694.0
1000.8
93.5
79.8
77.8
69.9
2.4
1522.3
1257.8
1353.6
394.8
5730
4430
5400
1200
26.1
412.7
22.4
753.7
4070
Cl
Table 2 – Properties of ultra- and nanofiltration membranes tested
Manufacturer
Millipore
Millipore
Dow-Filmtec
Dow-Filmtec
Alfa laval
a
b
c
d
e
f
g
h
Membrane type
Material, filtration type
MWCO (Da)
Clean water flux (mL/min cm2)
YM1
YC05
NF270
NF90
NFT50
Regenerated cellulose acetate
Cellulose acetate
Polypiperazine-based
Polyamide thin-film composite
Polypiperazine
1000a
500a
150b 200c 430d
200f 300g
150h
0.03–0.04a
0.02–0.04a
0.167e
0.006f
0.01h
According to supplier, Millipore.
Long et al. (2005).
Braeken et al. (2006).
Park et al. (2005).
Mänttäri et al. (2004).
Krieg et al. (2004).
Reardon et al. (2005).
Teixeira and Rosa (2006).
study was observed and since the feed water was prefiltered
by nominal 0.45 mm microfilters, biological organisms were
not considered to be a significant part of the membrane
challenge.
2.2.
Experimental set-up
All UF and NF experiments were performed in an Amicon
dead-end-type stirred UF cell; the membrane diameter was
63.5 mm (nominal 62 mm) and the feed volume used was
200 mL. All tests were performed running the unit at a
constant stirring speed of 200 rpm. The applied pressure
(DP) was regulated using N2 gas. After installing in the test cell
one of the many membranes utilised, the membrane was
precompacted: pure water was permeated through it at
4 105 Pa for about 120 min and then the pure water flux at
3 105 Pa was measured. After precompaction, the water to be
analysed was passed through the membrane to obtain 130 mL
of permeate. The permeate flux was measured continuously.
After the water sample had been passed through, the
membrane was washed thoroughly with deionised water
and its pure water permeability was measured in order to
determine the difference before and after the assay.
The permeate flux was measured gravimetrically using a
Cobos CB Complet laboratory scale that was connected to and
monitored via a computer.
2.3.
Membranes
The NOM rejection and flux-decline measurements were
performed on three NF and two UF membranes. General
information about the membranes is given in Table 2,
including the manufacturer, material, MWCO and the clean
water flux.
2.3.1.
Ultrafiltration membranes
YM1 is a regenerated cellulose acetate membrane and YC05 is
a cellulose acetate membrane; both are hydrophilic membranes (Millipore; Kekki et al., 1997). These UF membranes
exhibit a high removal of low-concentration non-specific
proteins. Furthermore, the YC05 membrane yields a high
solute rejection of NaCl.
ARTICLE IN PRESS
WAT E R R E S E A R C H
2.3.2.
r ¼ Mw =Mn ,
Nanofiltration membranes
The FILMTECTM NF270 is a membrane designed to remove
42 (2008) 714 – 722
high percentages of total organic carbon (TOC) and THM
precursors while having a medium to high salt passage
and medium hardness passage (supplier). This membrane
is relatively hydrophilic. The NF270 membrane thus shows
an exceptionally high retention of uncharged compounds
(e.g., glucose), and at the same time permits a relatively
high flux. The membrane surface is negatively charged.
This suggests the possibility of electrostatic repulsion of
negatively charged NOM components by the membrane.
The pure water permeability of the NF270 is especially
high compared with other NF membranes (Mänttäri et al.,
2004).
The FILMTECTM NF90 is a NF membrane designed to
remove a high percentage of salts, nitrates, iron and
organic compounds such as pesticides, herbicides and
THM precursors. The membrane surface charge is slightly
negative (Reardon et al., 2005).
The DSS NFT-50 (Alfa Laval) NF membrane is a polymeric
three-layer thin-film membrane with an active layer of
aromatic/aliphatic polyamide. The surface of this membrane is negatively charged in the 4.4–8.3 pH range and its
negative charge increases with the pH (Teixeira et al.,
2005).
A Shimazdu high-performance liquid chromatography system consisting of an injector (SIL-IOA), a pump (LC-7A) and
diode-array detector (SPD-M6A) has been used for HPSEC
analysis. Separation by size exclusion was performed using a
G3000SW column (7.5 mm 30 cm, Tosoh Bioscience Gmbh,
10 mm silica). A precolumn of the same packing material
(7.5 mm 7.5 cm, Tosoh Bioscience Gmbh, 10 mm silica) was
used after the injection valve. Samples (40 mL) were injected
into the HPSEC column at a flow-rate of 1 mL/min (Chin et al.,
1994). The mobile phase was a phosphate buffer at pH 6.8 and
0.1 N NaCl that was previously filtered (0.45 mm) and degassed
with ultrasound. The detection was performed measuring
absorbances at 224 and 254 nm simultaneously. The response
at 224 nm is higher than at 254 nm. Therefore, these results
were used in this study. Sodium polystyrene sulfonates (MWs
of 210, 1400, 4300, 13,000 and 32,000 g/mol) were used as
standards. A linear calibration curve (r240.99) was used to
calculate MWs. The baseline of the chromatograms was
changed due to tailing and was set as 0 at 2% of the
maximum chromatogram height, based on the approach of
Zhou et al. (2000). Mn, Mw and r (number-averaged MW,
weight-averaged MW and polydispersivity, respectively) were
determined using the following equations:
Pn
i¼1 ðhi Mi Þ
,
(1)
Mw ¼ P
n
i¼1 hi
Pn
h
Mn ¼ Pn i¼1 i ,
i¼1 ðhi =Mi Þ
(2)
(3)
where hi and Mi are the height of the HPSEC chromatogram
and the MW at eluted volume i, respectively.
NOM MW estimation by HPSEC can be influenced by
numerous factors such as calibration standards, undesirable
column packing/resin interactions, unsuitable data handling
of chromatograms and detection methods (Zhou et al., 2000).
Although HPSEC with UVA detection is not the most adequate
detector for quantitative analysis of MW estimation (Her
et al., 2002), it is useful for qualitative analysis and for
determining MWs using a proper mobile phase and calibration standard (Zhou et al., 2000).
2.5.
Analytical methods
Samples were analysed for DOC (Shimadzu TOC 5000A
analyser), UV254 nm absorbance (Shimadzu UV-1601 UV–VIS
spectrophotometer), pH (Crison 2000/6657 pH meter) and
conductivity (Crison Micro CM 2200 conductivity meter) these
analyses and THMFP, were performed according to standard
methods (APHA, AWWA, WPCF, 1995). DOC, UVA254, pH and
conductivity in raw water, concentrates and permeates were
characterised.
DOC and UVA rejection are defined as the observed
rejection:
R¼
2.4.
High-performance size exclusion chromatography
(HPSEC)
717
cb cp
100%,
cb
where cb and cp are the concentrations in the bulk solution
(concentrate) and the permeate, respectively.
Metal content was determined by atomic absorption
spectrometry (Perkin-Elmer 2100 Flame AAS and HGA-700
graphite furnace). Anion concentrations were measured with
an IC chromatographic system (DIONEX DX5OO).
THMFP was determined using a gas chromatograph with a
mass spectroscopy detector (HP/AGILENT TECHNOLOGIES
6890N) with purge and trap injection (TEKMAR DOHRMANN),
3100 Sample Concentrator.
3.
Results and discussion
3.1.
NOM and ion removal by NF and UF
The efficiencies of the NF and UF membranes in removing
NOM, with respect to UVA254 and DOC for the 10 water
samples analysed, are summarised in Table 3.
As listed in Table 3, the NOM was removed more efficiently
by the NF than by the UF membranes. In fact, the NF90 and
the NF270 membranes yield almost total DOC rejection
(90%). Although the NFT50 membrane has lower MWCO
than the rest of the NF membranes, it is less efficient for low
DOC and ionic strength samples (Villajoyosa, Taibilla and
Guadalest). However, the NFT50 membrane shows higher
removal efficiency for higher DOC samples. This membrane is
also less efficient in the removal of anions (Cl, NO
3 , HCO3 )
+
+
and cations (K , Na ) than the rest of NF membranes (Table 4).
The NF90 membrane is the most efficient in the removal of
ions, being higher than 60% in the majority of cases except for
2+
or Mg2+. The
nitrates, and is close to 100% for SO2
4 , Ca
ARTICLE IN PRESS
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WA T E R R E S E A R C H
42 (2008) 714– 722
Table 3 – NOM removal by NF and UF membranes using DOC and UVA254 nm measurements for all tested water
Surface water
Raw water DOC (mg/L)
Removal (%)
YM1
Crevillente
Guadalest
La Pedrera
Tibi
Villajoyosa
Mayayo
Reguerón
Reina
Segura
Taibilla
6.21
1.44
2.62
5.41
1.88
6.50
6.32
7.06
6.28
1.56
YC05
NF270
NF90
NFT50
DOC
UVA
DOC
UVA
DOC
UVA
DOC
UVA
DOC
UVA
62.85
22.01
45.50
35.97
50.90
58.05
38.48
65.47
67.52
32.05
65.93
64.85
64.86
72.27
77.97
69.42
65.34
65.07
63.25
67.90
85.35
56.67
66.18
89.80
70.74
84.55
65.24
93.16
87.32
73.90
88.43
74.06
85.62
93.19
79.71
89.86
83.81
86.71
83.41
72.15
95.72
68.61
85.50
90.68
76.54
87.25
83.50
92.03
99.16
84.84
91.28
83.26
88.82
92.44
90.14
91.43
89.70
90.98
93.15
93.10
94.73
70.00
74.92
99.09
93.62
88.51
88.96
90.33
94.41
84.20
90.33
76.15
85.30
93.61
90.14
89.86
91.66
84.48
89.64
88.86
87.15
67.89
88.63
84.29
34.84
93.20
95.87
100
98.49
73.64
92.23
58.58
87.54
92.94
63.48
85.83
94.60
93.69
94.56
76.39
Table 4 – Ion percentage removal for each membrane tested
Ion
Cl
NO
3
SO2
4
HCO
3
K+
Na+
Ca2+
Mg2+
Removal (%)
YM1
YC05
NF270
NF90
NFT50
6.3473.39
15.6676.04
22.19710.10
11.3979.86
3.6474.20
5.8373.12
11.17710.34
16.91712.66
20.19710.52
32.34723.39
96.2971.32
37.37716.63
12.1976.18
16.4077.79
82.49711.40
86.7079.60
12.2178.13
26.97729.41
93.0471.81
37.04714.68
31.24716.52
35.12713.97
56.6979.84
57.26726.65
73.57718.13
46.13728.08
98.4670.79
88.5077.79
62.44715.79
68.41715.16
97.3971.00
93.65711.97
8.5476.04
10.86712.44
81.60730.44
24.12719.74
27.5179.02
30.0178.42
50.05718.86
52.78724.39
higher efficiency of this membrane is probably due to their
specific material filtration (slightly negative charge) that
permits to improve the results obtained with other NF
membranes.
The NOM removal efficiencies, as determined by UVA254,
were higher than those obtained by DOC (Table 3), except
in the case of the Reina irrigation water channel and
Segura River. This indicates that aromatic/hydrophobic
compounds (UV absorbance at 254 nm is attributed mainly
to the absorption of these compounds) can be preferentially
removed over the entire range of membrane pore size
(Schäfer et al., 2000; Lee et al., 2005). The SUVA values of
the Reina irrigation water channel and Segura River are
about 3 L/mg m (Fig. 1). The DOC of these water sources is
probably composed largely of humic substances and relatively hydrophobic and aromatic compounds (Edzwald and
Van Benschoten, 1990).
3.2.
Changes in NOM size from feed to permeate
The MW and distribution of four NOM types: Guadalest (water
reservoir), Segura (river), Taibilla (water channel) and Mayayo
(irrigation water channel), included in the feed and permeates
are compared in Fig. 2. The weight average (Mw) and the
number average (Mn) of all the feed water and permeates
obtained from the membranes are compared in Table 5.
The MW of the NOM was lower in the permeates than in the
feed water, as can be seen in Table 5 and Fig. 2. This result
indicates that the membranes reject relatively large molecules more, showing that the hydrophilic NOM is preferentially transmitted through the membrane pores, as its
molecular size is relatively small compared with that of its
hydrophobic counterpart. However, in some samples an
increase of the lower MW NOM in permeates of UF (Segura
River, Reina and Reguerón) and NF (Mayayo, Reina, Reguerón
and Segura River) is observed. This could be due to a
fractionisation of some high MW compounds that reduces
the molecular volume and permits them to cross membranes
and consequently an increase in the low MW portion is
detected in permeates.
The small r (Mw:Mn ratio) indicates low NOM heterogeneity
in the 10 raw water samples analysed. The MWs of the NOM
analysed are of the same order of magnitude; the Mw varied
from 833 for Reguerón to 1031 for Crevillente, and because of
this the NOM was removed efficiently. It was found that the
Mw of the NOM in permeates was also of similar value;
ARTICLE IN PRESS
WAT E R R E S E A R C H
Response UVA224nm
a
MAYAYO
6.E+05
4.E+05
SEGURA RIVER
GUADALEST
2.E+05
b
Response UVA224nm
FEED WATER
TAIBILLA
0.E+00
2000
1500
1000
500
Molecular Weight (daltons)
MAYAYO
6.E+05
0
PERMEATE YM1
SEGURA RIVER
TAIBILLA
4.E+05
GUADALEST
2.E+05
0.E+00
2000
c
Response UVA224nm
719
42 (2008) 714 – 722
6.E+05
1500
1000
500
Molecular Weight (daltons)
0
PERMEATE NF90
MAYAYO
SEGURA RIVER
TAIBILLA
4.E+05
GUADALEST
2.E+05
0.E+00
2000
1500
1000
500
Molecular Weight (daltons)
0
Fig. 2 – Molecular weight distribution of the NOM contained in the feed (a), UF permeate (b) and NF permeate (c) of Mayayo
irrigation water channel, Segura river, Taibilla water channel and Guadalest water reservoir.
electrostatic repulsion rather than size exclusion is the more
dominant mechanism for the removal of NOM by all
membranes. In fact, the NFT50 membrane, with the lower
theoretical MWCO, reduces the Mw of samples with low DOC
and ionic strength (e.g., Guadalest and Taibilla) less than the
rest of the NF membranes. Nonetheless, as can be seen in
Fig. 2, the MW distribution of Guadalest evolves in such a way
that the MW decreases, as is apparent from the shifting of the
maximum of the Guadalest curve to lower MW values. The
efficiency of the NF90 membrane was better than that of the
other membranes tested for the rest of the surface water
samples.
In general, all the source water analysed has the same or
smaller Mw than MWCO; therefore, all the NOM does not pass
through the membrane pores, but not only average MW and
MWCO should be considered: NOM rejection was governed by
electrostatic repulsion and hydrophobic adsorption for the
negatively charged membranes.
3.3.
DBP reactivity of the NOM included in each feed and
the permeates
The DBP reactivity in terms of THM ( ¼ THMFP/DOC (mg/mg)) for
all permeates, is listed in Table 6, compared with those of all
NOM in the feed water. THMFP removal is known to be
proportional to the NOM removed (Lee et al., 2005), resulting in
significantly reduced THMFP for the product water obtained from
the NF, and even from the UF. However, Table 6 clearly indicates
that the DBP reactivity reduction was not as high as the NOM
removal, suggesting that the reactive NOM for THM formation
was still included in both the NF and the UF permeates. These
trends were more obvious for YC05 and NF270 product water
than for the other permeates. Based on these results, it can be
suggested that even though the membrane processes must take
much of the credit for the NOM removal (in terms of THMFP
reduction), the selection of appropriate membranes and operating conditions for DBP minimisation are still rather important, as
ARTICLE IN PRESS
720
766
570
615
125
39
753
902
697
736
677
532
776
363
618
720
688
749
565
909
762
769
776
779
770
849
762
758
758
758
758
623
697
716
712
695
689
755
712
750
750
690
716
Mn
Mw
Mn
Mw
Mn
Mw
Mn
42 (2008) 714– 722
small amounts of the NOM included in the produced water may
be problematic due its high DBP reactivity.
The NOM present in irrigation water channels and rivers has
more hydrophobic character (greater SUVA) and is therefore
eliminated more easily. Hence, the THMFP reactivity for these
types of water is always low, but water with a lower SUVA value
(Fig. 1), or rather, water types with organic matter that has a
more hydrophilic character, show a greater THMFP reactivity.
Moreover, the YC05 and NF270 membranes with MWCO at
around 500 Da permits the passage of the more reactive organic
matter present in this type of water, resulting in THM reactivity
values greater than that of the feed water; the high flow-rate
that the NF270 membrane permits could also contribute to the
greater reactivity observed (Lee et al., 2005). The NF90 and NFT50
membranes with MWCO at around 200 Da, retains the hydrophilic organic matter, which diminishes the THM reactivity
substantially. The NFT50 does this particularly well, with nearly
100% removal achieved for water with greater SUVA values.
833
765
760
754
756
755
586
627
656
421
654
746
870
754
798
883
770
754
206
NA
606
644
679
670
888
NA
708
725
755
744
326
59
NA
563
746
143
Mn
Mw
Mn
Mw
Mn
Mw
3.4.
982
633
NA
945
846
796
914
588
NA
641
642
686
1016
720
NA
710
749
770
841
659
263
385
535
801
NA: not available.
927
728
662
663
659
804
950
750
653
735
740
NA
1031
798
741
748
783
NA
Feed
YM1
YC05
NF270
NF90
NFT50
Mn
Mw
Mw
Mn
Mw
Mn
Mw
Tibi
La Pedrera
Guadalest
Crevillente
Table 5 – Measured molecular weight of NOM in each feed and permeate
Villajoyosa
Mayayo
Reguerón
Reina
Segura river
Taibilla
WA T E R R E S E A R C H
Effect of ion concentration on flow-rate
It is important to note that ions interact strongly with the
membrane, especially with NF membranes.
The NF270 membrane exhibited the highest permeability
values of all the membranes tested, followed by the NF90
membrane. The NFT50 membrane shows no significant flux
decline over the running time with any of the types of water
studied. This could be so for two possible reasons: firstly, a
low pressure is applied, and secondly, minimal concentration
polarisation occurs. Thus, this membrane removes both
hydrophilic and hydrophobic NOM (Teixeira and Rosa, 2006).
The presence of dissolved Na+, Mg2+ or/and Ca2+ in the
waters of Reina, Mayayo, Reguerón (irrigation water channel)
and Segura River has a strong influence on NF membrane
performance, and the flux is lower than for water with lower
ionic strength. The Ca2+ ions can bind with the acidic
functional groups of the NOM, elevating the degree of
hydrophobicity of the NOM molecules and developing a
dense thick fouling layer on the membrane surface (Teixeira
and Rosa, 2006). As can be seen in Fig. 3, the water flux for the
NF90 and NF270 membranes shows a decrease in permeability with time (Nilsson et al., 2006).
In water with a lower ionic strength, high pH and lower
concentration of divalent ions such as the waters of Taibilla,
La Pedrera, Villajoyosa and Guadalest, a loose thin fouling
layer develops on the membrane surface and a lower flux
decline is obtained.
The SUVA value of and Ca2+ concentration in water from
Reina, Mayayo, Reguerón and Segura River is high; therefore
the flux declines rapidly. The SUVA value of Taibilla is also
high, but the Ca2+ concentration is lower than that for the
others, and in this case a lower flux decline is observed. Thus,
the presence of calcium ions is much more important for flux
than the type of NOM (Teixeira and Rosa, 2006).
4.
Conclusions
All membranes tested were well suited to eliminate NOM,
typically for raw water sources. NF removed most of the
ARTICLE IN PRESS
WAT E R R E S E A R C H
721
42 (2008) 714 – 722
Table 6 – THM reactivities of NOM in each feed and permeate
THM reactivity (mg/mg)
Feed water
YM1
YC05
NF270
NF90
NFT50
53.46
108.03
85.17
69.09
103.70
133.26
116.74
57.29
90.65
161.14
40.68
151.10
74.77
48.37
190.85
51.06
51.34
26.17
59.94
115.04
55.95
164.33
142.85
34.34
390.71
35.82
62.83
30.72
38.06
84.83
48.65
131.80
146.99
63.61
116.37
17.98
23.92
18.66
44.64
211.69
34.60
94.45
37.15
25.49
34.32
27.12
38.20
17.03
12.42
108.31
29.35
94.16
44.28
23.25
42.84
ND
8.56
ND
1.19
31.17
Crevillente
Guadalest
La Pedrera
Tibi
Villajoyosa
Mayayo
Reguerón
Reina
Segura River
Taibilla
ND: not detected.
1.E-07
YM1
YC05
NF270
NF90
NFT50
VILLAJOYOSA
1.E-07
GUADALEST
8.E-08
Flux (m/s)
8.E-08
6.E-08
4.E-08
2.E-08
6.E-08
4.E-08
2.E-08
0.E+00
0.E+00
0
2000
4000
1.E-07
6000
0
8000
2000
4000
time, s
9.E-08
LA PEDRERA
6000
8000
TAIBILLA
8.E-08
6.E-08
6.E-08
4.E-08
3.E-08
2.E-08
0.E+00
0.E+00
0
2000
4000
9.E-08
6000
0
8000
2000
4000
8.E-08
TIBI
6000
8000
CREVILLENTE
6.E-08
6.E-08
4.E-08
3.E-08
2.E-08
0.E+00
0.E+00
0
2000
4000
8.E-08
6000
0
8000
2000
4000
SEGURA RIVER
6000
8000
REGUERÓN
6.E-08
6.E-08
4.E-08
4.E-08
2.E-08
2.E-08
0.E+00
0.E+00
0
2000
4000
6.E-08
6000
0
8000
2000
4000
6000
6.E-08
MAYAYO
4.E-08
4.E-08
2.E-08
2.E-08
0.E+00
8000
REINA
0.E+00
0
2000
4000
6000
8000
0
2000
4000
Fig. 3 – Flux evolution of all the water and membranes tested.
6000
8000
ARTICLE IN PRESS
722
WA T E R R E S E A R C H
organic matter (70–95%) whereas UF rejected mainly the high
molecular refractory part (30–85%). The higher NOM removal
efficiencies were obtained with the NF90 and NF270 membranes for all the tested water; however, the NFT50 was less
efficient for low DOC and ionic strength water. The NF90
membrane was also the most efficient at anion and cation
2+
2+
removal, especially for SO2
4 , Ca , Mg and HCO3 at the
testing conditions.
NF led to a high rejection of NOM and a high reduction of
THM precursors for all the water sources, while the rejection
of NOM and THM precursors by UF was clearly lower. The
NFT50 membrane was the most efficient at reducing the THM
reactivity for all the tested water at the testing conditions.
However, the obtained permeates from the NF270 and UF
membranes showed higher THM reactivities, especially in low
DOC and ionic strength water.
Flux decreases in the presence of NOM and decreases
further in the presence of both NOM and calcium ions.
The estimation of MW is an important factor that aids in
the understanding of the physical and chemical properties of
NOM and the determination of appropriate water treatment
process selection, design and operation.
Acknowledgements
This study was financially supported by the Comisión
Interministerial de Ciencia y Tecnologı́a (CICYT) of the
Spanish Government: Plan Nacional de I+D 2004-2007
(ref. CTM2004-03056) and by a grant from the Consejerı́a de
Innovación, Tecnologı́a y Empresa de la Junta de Andalucı́a
para el Perfeccionamiento de Investigadores.
R E F E R E N C E S
Amy, G.L., Collins, M.R., Kuo, C.J., King, P.H., 1987. Comparing gel
permeation chromatography and ultrafiltration for the molecular weight characterization of aquatic organic matter. J. Am.
Water Works Assoc. 79 (1), 43–49.
Aoustin, E., Schäfer, A.I., Fane, A.G., Waite, T.D., 2001. Ultrafiltration of natural organic matter. Sep. Purif. Technol. 22–23,
63–78.
APHA, AWWA, WPCF, 1995. Standard Methods for the Examinations of Water and Wastewater, 19th ed. American Public
Health Association, Washington, DC.
Braeken, L., Bettens, B., Boussu, K., Van der Meeren, P., Cocquyt, J.,
Vermant, J., Van der Bruggen, B., 2006. Transport mechanisms
of dissolved organic compounds in aqueous solution during
nanofiltration. J. Membr. Sci. 279, 311–319.
Chin, Y., Aiken, G., O’Loughlin, E., 1994. Molecular weight,
polydispersity and spectroscopic properties of aquatic humic
substances. Environ. Sci. Technol. 28, 1853–1858.
Edzwald, J.K., Van Benschoten, J.B., 1990. Aluminium coagulation
of natural organic matter. In: Hahn, H.H., Klute, R. (Eds.),
Chemical Water and Wastewater Treatment, vol. 40. Springer,
Berlin, pp. 341–359.
Gorenflo, A., Velázquez-Padrón, D., Frimmel, F.H., 2002. Nanofiltration of a German groundwater of high hardness and NOM
content: performance and costs. Desalination 15 (1), 253–265.
Her, N., Amy, G., Foss, D., Cho, J., 2002. Variations of molecular
weight estimation by HP-size exclusion chromatography with
42 (2008) 714– 722
UVA versus online DOC detection. Environ. Sci. Technol. 36,
3393–3399.
Kekki, T., Rosenberg, R.J., Jaakkola, T., 1997. Physico-chemical
forms of radiostrontium in simulated freshwaters. J. Radioanal. Nucl. Chem. 224 (1–2), 77–81.
Krieg, H.M., Modise, S.J., Keizer, K., Neomagus, H.W.J.P., 2004. Salt
rejection in nanofiltration for single and binary salt mixtures
in view of sulphate removal. Desalination 171, 205–215.
Lahoussine-Turcaud, V., Wiesner, M.R., Bottero, J.-Y., Mallevaille,
J., 1990. Coagulation pretreatment for ultrafiltration of a
surface water. J. Am. Water Works Assoc. 82 (12), 76–81.
Lee, S., Kwon, B., Sun, M., Cho, J., 2005. Characterizations of NOM
included NF and UF membrane permeates. Desalination 173,
131–142.
Long, F., Zhu, A., Wang, X.L., Zhu, W.P., 2005. Membrane flux and
CaCO3 crystallization in the unstirred dead-end nanofiltration
of magnetic solution. Desalination 186, 243–254.
Mänttäri, M., Pekuri, T., Nyström, M., 2004. NF270, a new
membrane having promising characteristics and being suitable for treatment of dilute effluents from the paper industry.
J. Membr. Sci. 242, 107–116.
Matilainen, A., Vieno, N., Tuhkanen, T., 2006. Efficiency of the
activated carbon filtration in the natural organic matter
removal. Environ. Int. 32 (3), 324–331.
Murray, C.A., Parsons, S.A., 2004. Removal of NOM from drinking
water: Fenton’s and photo-Fenton’s processes. Chemosphere
54 (7), 1017–1023.
Nilsson, M., Trägardh, G., Östergren, K., 2006. The influence of
sodium chloride on mass transfer in a polyamide nanofiltration membrane at elevated temperatures. J. Membr. Sci. 280,
928–936.
Park, N., Kwon, B., Sun, M., Ahn, H., Kim, C., Kwoak, C., Lee, D.,
Chae, S., Hyung, H., Cho, J., 2005. Application of various
membranes to remove NOM typically occurring in Korea with
respect to DBP, AOC and transport parameters. Desalination
178, 161–169.
Reardon, R., Treadway, J., Buckley, B., Hobbs, C., 2005. Is
ultrafiltration better than microfiltration as pre-treatment for
reverse osmosis? Pilot scale results. In: Water Environment
Federation’s Technical Exhibition and Conference (WEFTEC),
November, Washington, DC, USA, pp. 3530–3546.
Schäfer, A.I., Fane, A.G., Waite, T.D., 2000. Fouling effects on
rejection in the membrane filtration of natural waters.
Desalination 131, 215–224.
Teixeira, M.R., Rosa, M.J., 2006. The impact of the water background inorganic matrix on the natural organic matter
removal by nanofiltration. J. Membr. Sci. 279, 513–520.
Teixeira, M.R., Rosa, M.J., Nyström, M., 2005. The role of
membrane charge on nanofiltration performance. J. Membr.
Sci. 265, 160–166.
Vickers, J.C., Thompson, M.A., Kelkar, U.G., 1995. The use of
membrane filtration with coagulation processes for improved
NOM removal. Desalination 102, 57–61.
Wiesner, M.R., Veerapaneni, S., Brejchová, D., 1992. Improvements
in membrane microfiltration using coagulation pre-treatment.
In: Hahn, H.H., Klute, R. (Eds.), Chemical Water and Wastewater Treatment. Springer, Berlin.
Yoon, Y., Amy, G., Cho, J., Her, N., 2005. Effects of retained natural
organic matter (NOM) on NOM rejection and membrane flux
decline with nanofiltration and ultrafiltration. Desalination
173, 209–221.
Zhang, X., Minear, R.A., 2006. Removal of low-molecular weight
DBPs and inorganic ions for characterization of high-molecular weight DBPs in drinking water. Water Res. 40, 1043–1051.
Zhou, Q., Cabaniss, S.E., Maurice, P.A., 2000. Considerations in the
use of high-pressure size exclusion chromatography (HPSEC)
for determining molecular weights of aquatic humic substances. Water Res. 34 (14), 3505–3514.