Subscriber access provided by UNIV OF LOUISIANA
Characterization of Natural and Affected Environments
Dynamics of wastewater effluent contributions in streams and impacts on drinking water supply via riverbank filtration in Germany – A national reconnaissance Sema Karakurt, Ludwig Schmid, Uwe Huebner, and Jörg E. Drewes Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.8b07216 • Publication Date (Web): 02 May 2019 Downloaded from http://pubs.acs.org on May 3, 2019
Just Accepted “Just Accepted” manuscripts have been peer-reviewed and accepted for publication. They are posted online prior to technical editing, formatting for publication and author proofing. The American Chemical Society provides “Just Accepted” as a service to the research community to expedite the dissemination of scientific material as soon as possible after acceptance. “Just Accepted” manuscripts appear in full in PDF format accompanied by an HTML abstract. “Just Accepted” manuscripts have been fully peer reviewed, but should not be considered the official version of record. They are citable by the Digital Object Identifier (DOI®). “Just Accepted” is an optional service offered to authors. Therefore, the “Just Accepted” Web site may not include all articles that will be published in the journal. After a manuscript is technically edited and formatted, it will be removed from the “Just Accepted” Web site and published as an ASAP article. Note that technical editing may introduce minor changes to the manuscript text and/or graphics which could affect content, and all legal disclaimers and ethical guidelines that apply to the journal pertain. ACS cannot be held responsible for errors or consequences arising from the use of information contained in these “Just Accepted” manuscripts.
is published by the American Chemical Society. 1155 Sixteenth Street N.W., Washington, DC 20036 Published by American Chemical Society. Copyright © American Chemical Society. However, no copyright claim is made to original U.S. Government works, or works produced by employees of any Commonwealth realm Crown government in the course of their duties.
Page 1 of 22
Environmental Science & Technology
1
Dynamics of wastewater effluent contributions in streams and impacts on
2
drinking water supply via riverbank filtration in Germany – A national
3
reconnaissance
4
Sema Karakurt, Ludwig Schmid, Uwe Hübner, Jörg E. Drewes*
5
Chair of Urban Water Systems Engineering, Technical University of Munich, Garching, Germany
6
Abstract
7
The discharge of wastewater effluents to a stream that is subsequently used for drinking
8
water abstraction has been previously referred to as de facto water reuse. Where the abstraction
9
of surface water for drinking water production occurs via induced bank filtration or aquifer
10
additional site-specific factors should be considered to assess the impact of wastewater effluents
11
on bank-filtered water. This study represents the first national reconnaissance to quantify
12
wastewater effluent contributions in streams across Germany and consequences for indirect
13
drinking water abstraction from these streams. An automated assessment using ArcGIS was
14
conducted for river basins considering minimum and mean average discharge conditions of
15
streams as well as discharge from more than 7,500 wastewater facilities. In urban areas, where
16
the natural base discharge is low, wastewater effluent contributions greater than 30-50% were
17
determined under mean minimum discharge conditions, which commonly prevail from May to
18
September. A conceptual model was proposed to estimate critical bank filtrate shares resulting
19
in exceedances of monitoring trigger levels for health-relevant chemicals as a universal
20
qualitative assessment regarding the relevance of de facto reuse conditions in surface waters used
21
for drinking water abstraction. This approach was validated using chemical monitoring data for
22
three case study locations.
23
1. Introduction
24
Drinking water supply in many countries in central and western Europe heavily relies on
25
indirect use of surface water via induced bank filtration (IBF) and aquifer recharge (AR).1,2 In
26
Germany, production from IBF and AR accounts on average for 15% of the drinking water
27
supplied nationwide3, but at the individual utility level this contribution can be in excess of 70%.4
28
While relying on natural treatment processes during IBF and AR, microbial and chemical
29
contaminants in surface water can be effectively attenuated during travel through the
30
subsurface.1 In highly populated areas and where substantial natural base discharge is lacking,
31
the quality of surface water can be highly affected by discharge of effluents of municipal
32
wastewater treatment plants (WWTPs), industrial dischargers, as well as contributions from
33
various non-point sources (e.g., drainage from agricultural areas, stormwater runoff, urban 1 ACS Paragon Plus Environment
Environmental Science & Technology
Page 2 of 22
34
seepage). Increasing contributions of wastewater effluents to stream discharge will also result in
35
an increase of the relative portion of wastewater-derived contaminants, such as pathogens and
36
trace organic chemicals (TOrCs) in the water cycle.5–9 This is particularly relevant regarding
37
persistent pathogens but also for poorly degradable and polar wastewater-derived chemicals,
38
which could potentially make their way into drinking water wells.7,9 This situation will likely
39
become more prevalent considering impacts from climate change resulting in more frequent or
40
long-lasting low-discharge conditions in streams. Climate change not only adversely affects
41
stream discharge and the relative contribution of wastewater effluents, but also impacts IBF
42
performance as travel times and redox conditions in the subsurface can change with varying
43
discharge conditions and temperatures.10–12
44
The discharge of wastewater effluents to a stream that is subsequently used for drinking
45
water abstraction has been previously referred to as unintended or de facto water reuse.13,14 In a
46
US-wide study, Rice and Westerhoff (2015)13 revealed wastewater effluent impact on half of
47
1,210 targeted drinking water treatment plants (DWTP) practicing surface water treatment and
48
serving more than 10,000 inhabitants under mean annual discharge (MAD) conditions. The
49
effects of mean minimum annual discharge (MMAD) conditions were investigated for an
50
additional 80 DWTPs, where 40% of the utilities were characterized by more than 50%
51
wastewater effluent in their raw water supply.13 Switzerland engaged in a nationwide study to
52
assess the presence of wastewater-derived chemicals in receiving streams, and revealed
53
wastewater effluent contributions of more than 10-50% under low discharge conditions,
54
particularly in small and medium-sized rivers.15 In order to minimize impacts on aquatic life and
55
downstream drinking water abstraction, this situation recently triggered upgrades with either
56
activated carbon filtration or ozone for 100 out of 700 conventional WWTPs across
57
Switzerland.15,16 A regional study in Catalonia, Spain, analyzed wastewater effluent contributions
58
to the River Llobregat, a source of drinking water supply for the metropolitan area of Barcelona,
59
and reported between 12 to 25 % wastewater effluent contributions in raw water supplies for
60
three different years with varying annual discharges.17 Wang et al. (2017) conducted the first
61
assessment on wastewater effluent discharges at 11 gauging stations within the Yangtze River
62
watershed, China, supporting more than 1/15th of the world’s population.18 The wastewater
63
effluent contributions under low discharge conditions increased from 8% to 14% nearby
64
Shanghai between 1998 and 2014 due to an increase in wastewater discharges and decrease in
65
streamflow.18 A similar study at regional scale have been reported, which commonly quantify the
66
degree of impact from wastewater effluent discharge on stream water quality by simple flow
67
balances.19 While these studies point to the need to understanding the relevance of discharge of
68
municipal wastewater effluents on drinking water supplies, quantifying what degree of de facto
69
reuse actually constitutes a potential threat to human health is lacking. In addition, these studies 2 ACS Paragon Plus Environment
Page 3 of 22
Environmental Science & Technology
70
did not consider the efficacy of water treatment processes employed at a drinking water utility
71
or attenuation processes occurring during IBF or AR, where surface water is used indirectly.
72
Quantifying the impact of wastewater effluents on streams that are subsequently used indirectly
73
via IBF or AR may become complex as it requires a site-specific assessment of stream discharge
74
dynamics, relative contributions of augmented groundwater in a production well, and a
75
quantitative assessment of attenuation processes in the subsurface. Given these challenges, water
76
utilities and health officials are looking for guidance on how indirect drinking water abstraction
77
from impaired surface waters via IBF or AR can be adequately managed under shifting climate
78
and discharge conditions.
79
De facto potable reuse becomes relevant when health relevant chemicals exceed their
80
toxicologically relevant values, defined as monitoring trigger levels (MTLs), in bank filtrate where
81
subsequent drinking water treatment only utilizes conventional treatment processes (i.e.,
82
aeration, filtration, disinfection). We hypothesize that the exceedance of MTLs in bank filtered
83
raw water supplies occurs in several river basins in Germany due to high wastewater effluent
84
contributions during extended time periods. This nation-wide, comprehensive study is the first
85
to quantify the relative contribution of wastewater effluents to streams across Germany under
86
varying discharge conditions. It also provides a conceptual impact assessment for downstream
87
drinking water abstraction via IBF or AR, validated by three case studies. The developed approach
88
can guide water utilities and regulators in assessing the relevance of de facto reuse and identifying
89
sites where comprehensive follow-up monitoring programs as well as potential mitigation
90
actions are warranted.
91
2. Materials and methods
92 93
2.1. Data acquisition and calculation of treated effluent contribution in rivers Modeling approach
94
Within the framework of the European Directive 91/271/EEC, the federal states of Germany
95
are required to report operational and spatial data of WWTPs with a population equivalent (PE)
96
capacity of more than 2,000 to the German Environment Agency (Thru.de), which subsequently
97
reports this information to the European Commission’s data base ‘Waterbase – Urban wastewater
98
treatment directive (UWWTD)’.20,21 In addition, discharge volumes of WWTPs with a capacity of
99
50-2,000 PE were provided by individual federal states including the states of Baden-
100
Württemberg, Berlin, Brandenburg, Hesse, North Rhine-Westphalia, Rhineland-Palatinate, and
101
Saxony. Year and source of WWTPs discharge data as well as the capacity of WWTPs included for
102
different federal states can be found in SI-Table 1. For the federal state of Bavaria, instead of direct
103
discharge volumes of WWTPs with capacities of 50-2,000 PE, discharge volumes derived from 3 ACS Paragon Plus Environment
Environmental Science & Technology
Page 4 of 22
104
reported design capacities were considered in this study. For rivers with cross-boundary
105
catchments (i.e., Danube, Rhine, Maas, Issel, Elbe and Oder rivers), data from WWTPs >2,000 PE
106
of neighboring countries were considered in the model using the Waterbase – UWWTD
107
database.21 Through this extensive data collection, a comprehensive database considering
108
wastewater contributions from 7,550 WWTPs across Germany was compiled for this study.
109
Long-term MAD and MMAD from gauging stations over multiple decades were gathered to
110
assess the dynamics of WWTP effluent contributions under MAD and MMAD conditions.22–24
111
Discharge data from two years (2003 and 2005) were chosen to illustrate representative dry and
112
average years.
113
An ArcGIS model (Esri, Kranzberg, Germany) using spatial and operational WWTP data (i.e.,
114
location of the WWTP, point and amount of discharge, capacity and level of treatment) and stream
115
gauging station runoff data was generated to perform automated assessments of relative
116
contributions from treated wastewater effluents to rivers. The locations of WWTP discharge and
117
gauging station (i.e. nodes) were spatially linked to hydrological data of the German river network
118
at a scale of 1:250,000 (DLM250).25 Flow direction estimation and network analysis for the
119
streams were performed using a geometric network. The wastewater effluents upstream of a
120
river segment were cumulatively calculated and assigned to a specific gauging station. The
121
percentage of wastewater effluent contributions (𝑊𝑊𝑒𝑓𝑓𝑙𝑢𝑒𝑛𝑡 [%]) at each individual gauging
122
station was subsequently determined by calculating the ratio of the total discharge rate of
123
upstream WWTPs (∑QWW effluent) to the MAD and MMAD data at the respective gauging station
124
(Qgauging station) using equation 1, which was coded into GIS using Python scripts. For rivers of
125
stream order 1-5 (indicating level of branching in a river stream) with more than two gauging
126
stations, the MAD or MMAD along a river were first determined by linear interpolation, and the
127
relative wastewater effluent contributions were subsequently calculated for these fictitious
128
gauging stations with varying discharge conditions in an automated assessment using equation 1.
129
𝑊𝑊𝑒𝑓𝑓𝑙𝑢𝑒𝑛𝑡 [%] =
𝑄 𝑊𝑊 𝑒𝑓𝑓𝑙𝑢𝑒𝑛𝑡 𝑄 𝑔𝑎𝑢𝑔𝑖𝑛𝑔 𝑠𝑡𝑎𝑡𝑖𝑜𝑛
∙ 100%
[1]
130
This nationwide study was limited to the arithmetic mean of annual discharges from
131
municipal WWTPs and did not include other anthropogenic sources of contamination, such as
132
direct discharge of industrial WWTPs, agricultural drainage, and combined sewer and
133
stormwater overflows. However, it has to be noted that the vast majority of industrial complexes
134
in Germany is included into our study, since they discharge their wastewater after partial
135
treatment onsite into a public sewer (indirect industrial discharge), which then is subject to
136
municipal wastewater treatment prior to discharge to a stream. An assessment on the relevance
137
of direct industrial discharges can be found in the supplementary information. To enable the 4 ACS Paragon Plus Environment
Page 5 of 22
Environmental Science & Technology
138
consideration of the chemical loads (i.e. herbicides) from agricultural drainages, more spatio-
139
temporal water quality data as well as models for accurate predictions are needed.26 In addition,
140
complete mixing at the point of discharge of the treated wastewater into the receiving river was
141
assumed.
142
The relative wastewater effluent contributions of the ArcGIS model determined for a given
143
gauging station were validated using water quality monitoring data of the wastewater-derived
144
conservative indicator chemical for select sites at the river Main (equation 2). Where the
145
𝐶𝑟𝑖𝑣𝑒𝑟 𝑖𝑛𝑑𝑖𝑐𝑎𝑡𝑜𝑟 and the 𝐶𝑊𝑊 𝑒𝑓𝑓𝑙𝑢𝑒𝑛𝑡 𝑖𝑛𝑑𝑖𝑐𝑎𝑡𝑜𝑟 are the indicator chemical concentrations at the
146
gauging stations and the wastewater effluent, respectively. These sites and indicator chemical
147
carbamazepine were chosen for this assessment due to data availability provided by local water
148
utilities and regulatory agencies.27
149
𝑊𝑊𝑒𝑓𝑓𝑙𝑢𝑒𝑛𝑡 [%] =
𝐶𝑟𝑖𝑣𝑒𝑟 𝑖𝑛𝑑𝑖𝑐𝑎𝑡𝑜𝑟 𝐶𝑊𝑊 𝑒𝑓𝑓𝑙𝑢𝑒𝑛𝑡 𝑖𝑛𝑑𝑖𝑐𝑎𝑡𝑜𝑟
∙ 100%
[2]
150
If the secondary effluent is subject to advanced wastewater treatment prior to discharge (i.e.,
151
activated carbon or ozone treatment), indicator chemicals may no longer be present at levels
152
enabling them to serve as wastewater tracers.28 For this reason, WWTPs employing advanced
153
wastewater treatment processes were indicated in the model, to avoid any bias while examining
154
the feasibility of our method. As only 24 WWTPs out of 7,550 facilities across Germany are
155
currently employing advanced wastewater treatment processes, their discharge did not result in
156
a substantial effect on validation of the predicted wastewater contributions.
157
Between 2014 and 2016, carbamazepine exhibited consistent average (70-80 ng/L) and
158
maximum concentrations (110-140 ng/L) across the entire stretch of the river Main.29 Monitoring
159
data of the indicator chemicals, however, represent grab samples from river streams at different
160
times of the year. Thus, samples did not hydraulically correspond with wastewater effluent
161
samples taken.
162
2.2. Determination of the degree of impact on drinking water abstraction
163
A nationwide assessment of the impact of wastewater derived compounds on drinking water
164
supply is hindered by the fact that national or federal state DWTP databases on the origin and
165
quality of the raw water in Germany are lacking. Thus, a conceptual approach to estimate the
166
relevance of elevated wastewater effluent contributions in rivers, coupled with the percent bank
167
filtrate in raw water was developed. Conservative wastewater-derived chemicals, present at
168
elevated concentrations in European wastewater effluents, characterized by a relatively high
169
subsurface mobility and exhibiting persistent behavior under aerobic-anoxic conditions, were
170
selected as indicator chemicals for this assessment.30,31 Among the conservative wastewater 5 ACS Paragon Plus Environment
Environmental Science & Technology
Page 6 of 22
171
indicator chemicals, potentially health relevant compounds were chosen if their measured
172
environmental concentrations (MEC) in wastewater effluent was greater than their MTL32, i.e.
173
MEC/MTL>1, (carbamazepine, valsartanic acid and oxypurinol) referring to the concept adopted
174
by the State of California for monitoring purpose.33 For wastewater effluent contribution
175
scenarios ranging from 0-100%, critical bank filtrate contributions (% 𝐵𝐹𝑐𝑟𝑖𝑡𝑖𝑐𝑎𝑙) in drinking
176
water wells (i.e. raw water) were determined where MTLs of indicator chemicals (
177
𝑀𝑇𝐿𝑖𝑛𝑑𝑖𝑐𝑎𝑡𝑜𝑟 𝑐ℎ𝑒𝑚𝑖𝑐𝑎𝑙) in raw water could be exceeded using equation 3. The critical bank filtrate
178
contribution is assuming that the subsequent DWTP is relying only on conventional treatment
179
processes (i.e., subsurface passage followed by aeration and granular media filtration). At
180
locations where advanced treatment processes are employed at a DWTP (e.g., ozonation,
181
activated carbon filtration), these processes might provide additional barriers to health-relevant
182
chemicals and therefore additional margins of safety.
183
Min. % 𝐵𝐹𝑐𝑟𝑖𝑡𝑖𝑐𝑎𝑙 =
𝑀𝑇𝐿𝑖𝑛𝑑𝑖𝑐𝑎𝑡𝑜𝑟 𝑐ℎ𝑒𝑚𝑖𝑐𝑎𝑙 % 𝑊𝑊𝑒𝑓𝑓𝑙𝑢𝑒𝑛𝑡 ∗ 𝐶𝑊𝑊 𝑒𝑓𝑓𝑙𝑢𝑒𝑛𝑡 𝑖𝑛𝑑𝑖𝑐𝑎𝑡𝑜𝑟
∗ 100%
[3]
184
To validate the proposed approach in order to qualify de facto reuse conditions, this concept
185
was applied at three case study locations practicing IBF for drinking water abstraction. The
186
selected watersheds of the Havel, Rhine and Main rivers are substantially affected by wastewater
187
effluent contributions.
188
3. Results and discussion
189 190
3.1. Dynamic of wastewater effluent contributions to rivers during different discharge conditions
191
A potential impairment of river stream and bank filtrate quality may occur especially during
192
low discharge regimes over a longer period, where the relative contribution from wastewater
193
effluents in surface waters increases.18,34 Thus, long-term MMAD and MAD recordings were
194
chosen after considering 2,344 gauging stations across Germany to illustrate the effect of
195
wastewater effluent contributions during changing discharge conditions on river streams. The
196
prevalence of MMAD and MAD scenarios for the Rhine, Main and Neckar rivers were compared
197
with daily discharges of years (2003 and 2005) representing typical low and average annual
198
rainfall conditions, respectively. These results are depicted in Figure 1 for one representative
199
gauging station for each river.
200
These results reveal that daily discharges were 63-83% lower than MAD values during both
201
dry and average years (2003 and 2005) and reflect MMAD conditions for each of the three gauging
202
stations. This comparison illustrates that low discharge conditions prevail for almost six months
6 ACS Paragon Plus Environment
Page 7 of 22
Environmental Science & Technology
203
from spring into the summer and fall when water demand is the highest, a situation that may
204
become more prevalent in the future considering projected climate change impacts.
205 206 207 208
Figure 1: Comparison of MMAD and MAD hydrological characteristic values with daily average discharges
209
The ArcGIS model deriving wastewater effluent contributions in the Main river was validated
210
by concentrations of the wastewater indicator chemical carbamazepine, determined both in the
211
wastewater effluent and along the river. Grab samples were taken at nine gauging stations along
212
the Main river during March 201727. Wastewater effluent contributions calculated by
213
carbamazepine concentrations more closely follow the distribution of MMAD conditions (average
214
MMAD-CBZ= 4%±4%) than MAD conditions (average CBZ-MAD= 15 %±5%) (Figure 2).
during dry (2003) and average (2005) representative years for three gauging stations of the Rhine (at R), Main (at M) and Neckar (at N) rivers.23
7 ACS Paragon Plus Environment
Environmental Science & Technology
Page 8 of 22
215 216 217 218 219
Figure 2: Comparison of wastewater effluent contribution (secondary axis) from GIS model under MMAD
220
Given the prevalence of low discharge conditions, wastewater effluent contributions during
221
MMAD conditions were determined and depicted for all rivers across Germany (Figure 3-a).
222
Based on the results of this study, wastewater effluent contributions of more than 10-20% during
223
MMAD conditions dominate in a large number of river basins (Figure 3-b). For more than 40% of
224
their gauging stations, the rivers Neckar, Ems, Main, and tributaries of the lower and middle Rhine
225
exhibit wastewater effluent contributions of more than 20-30%. During MAD conditions,
226
however, the contributions from wastewater effluents vary only between 0-5% for more than
227
50% of the gauging stations nationwide, except for the Neckar river basin (Figure 3-c).
(black dots with dashed line) and MAD conditions (black dots with solid line) with dilution calculation using carbamazepine concentrations (grey dots with dashed line). Carbamazepine point samples were measured in wastewater effluents (2010)35 and the Main river (2016)27.
228
The impact of wastewater effluent contributions can be considerably less for locations where
229
the natural discharge is high. As an example, the tributaries of the Danube river originating from
230
the alpine foreland (i.e., Iller: 8-54 m3/s, Lech: 49-113 m3/s, and Isar: 95-174 m3/s under MMAD-
231
MAD conditions) dominate the natural discharge of the Danube river and are characterized by
232
wastewater effluent contributions of less than 10-20% under MMAD conditions. Thus, the
233
confluence of the Iller river results in the dilution of wastewater effluent contributions from 30-
234
50% (at gauging station Kirchen-Hausen) to 10-20% (Neu-Ulm) in the river Danube (SI-Figure 1,
235
Supplemental Information). Another example is the watershed of the middle and lower Rhine
236
river, whose tributaries are dominated by wastewater effluent contributions of more than 50%
237
under MMAD conditions. However, wastewater effluent contributions in the receiving middle and 8 ACS Paragon Plus Environment
Page 9 of 22
Environmental Science & Technology
238
lower Rhine river vary only between 10-20% and in the upper Rhine river of less than 5-10% due
239
to a high natural discharge (for both MMAD and MAD conditions) of (SI-Figure 2). On the other
240
hand, rivers originating in the central uplands and the north German plain (such as Ems, Ruhr,
241
Havel, Neckar and Main rivers) are characterized by lower discharges of typically less than 20 to
242
90 m3/s for MMAD conditions and 80 to 240 m3/s for MAD conditions, respectively. Furthermore,
243
these rivers flow through highly urbanized areas, resulting in more than 30 % and for some in
244
more than 50% wastewater effluent contributions during MMAD conditions (SI-Figure 3, Figure
245
2 and Figure 3-a).
246
The findings of this study reveal a high degree of wastewater impact on streams, which also
247
serve as an important source water for drinking water abstraction, industrial usage or irrigation
248
purposes, particularly in many urbanized areas across Germany. Moreover, high wastewater
249
effluent contributions can impair the ecological and chemical state of surface water due to oxygen
250
consumption, discharge of hazardous substances, and elevated amounts of nutrients, which might
251
pose a higher risk to aquatic life.
9 ACS Paragon Plus Environment
Environmental Science & Technology
Page 10 of 22
252 253 254
Figure 3: Map of nationwide wastewater effluent contributions under MMAD conditions (a) and share of gauging stations with relative wastewater effluent contributions for river basins under MMAD (b) and MAD (c) conditions.
10 ACS Paragon Plus Environment
Page 11 of 22
255 256
Environmental Science & Technology
3.2. Relevance of elevated wastewater effluent contributions in streams used for drinking water supply
257
The quality of bank filtrate at a given location depends not only on surface water quality, the
258
extent of wastewater effluent contributions, and the level of wastewater treatment, but also on a
259
large number of site-specific factors. These include location and type of wells, distance between
260
the surface water and abstraction wells, relative contributions from landside groundwater, and
261
hydro-biogeochemical factors such as hydraulic permeability, sediment conductivity, and
262
prevailing redox conditions.36,37 Due to these multiple factors, generating a nationwide
263
cumulative estimate of bank filtrate shares (i.e. contributions of bank filtrate to drinking water
264
supply) and expected water qualities in drinking water abstraction wells without detailed
265
information on the aforementioned factors or local water quality data, was not possible within
266
the scope of this study. Further research is essential to generate relevant water quality data per
267
catchment area, including the locations of DWTPs and site-specific hydrogeological factors.
268
Instead, the conceptual approach to determine critical bank filtrate contributions developed in
269
this study (see Section 2.2) was applied for three selected indicator chemicals: oxypurinol (OXY),
270
valsartanic acid (VSA), and carbamazepine (CBZ). These compounds are highly persistent in the
271
aqueous environment, originate from wastewater effluent, and occur at high concentrations in
272
German and European rivers.30,31,38–40 An assessment of their toxicological relevance regarding
273
human health protection (MTLs) has been provided by the German Environment Agency.29
274
Critical bank filtrate shares in wells, in which the MTL values for each of the three indicator
275
chemicals would be exceeded, were calculated for different wastewater effluent contributions
276
ranging from 0-100% (Figure 4-left). Based on this conceptual approach, the MTL of oxypurinol
277
exhibiting high average wastewater effluent concentrations would be exceeded in a scenario with
278
only 5% bank filtrate and 60% wastewater effluent contribution in the stream (Figure 4-left). For
279
carbamazepine, which exhibited lower wastewater effluent concentrations, MTL exceedances
280
would occur when both the effluent contribution to the stream and the bank filtrate share were
281
about 60% (Figure 4-left).
282
This assessment using suitable indicator chemicals, known toxicological information, and the
283
calculation of critical bank filtrate contributions in drinking water wells provides a universal
284
qualitative approach for any location worldwide to qualify possible de facto reuse situations. With
285
the assistance of this conceptual approach, possible hot spots of de facto reuse can be identified,
286
if the site-specific data on indicator chemical concentrations in wastewater effluent and the
287
percent wastewater effluent contribution in a river are known. A proposed workflow building
288
upon the results of the ArcGIS model developed during this study (Figure 4-right) can be used by
289
water utilities and regulators to identify sites where MTL exceedances could potentially occur, 11 ACS Paragon Plus Environment
Environmental Science & Technology
Page 12 of 22
290
reducing the need for comprehensive monitoring campaigns for a large number of drinking water
291
facilities and to engage in site-specific actions to reduce a potential impact on drinking water
292
quality.
293 294 295 296
Figure 4: Projected benchmark of MTL exceedances for indicator chemicals OXY (MTL: 300 ng/L),
297 298
1,310 ng/L38 and OXY 9,830 ng/L31) are representing mean values, taken from literature. Guidance for water
299
The conceptual approach was validated by site-specific indicator chemical measurements
300
(i.e., oxypurinol and carbamazepine) for three different case studies located along the rivers
301
Rhine, Havel and Main, which are affected by wastewater effluent contributions of 7 and 17%
302
under MAD and 42 % MMAD conditions according to the ArcGIS model, respectively (Table 1).
303
Wastewater effluent contributions were determined to be 10% based on locally measured
304
chemical data in the river Rhine close to the DWTP-A Düsseldorf, where bank filtered water
305
subsequently undergoes ozonation and activated carbon filtration. Contributions of surface water
306
in the bank filtrate were determined to be 79% on average and did not result in MTL exceedance
307
of carbamazepine. Furthermore, due to subsequent advanced treatment at the DWTP, MTL
308
exceedances for indicators even with high wastewater effluent concentrations are not expected
309
in the finished drinking water. At case study DWTP-B drinking water is abstracted at Lake Tegel,
310
Berlin via IBF, which serves drinking water with approximately 80% bank filtrate shares to 0.8
311
million inhabitants.4,41,42 MTL exceedances in their lake-impacted drinking water production
312
wells were projected for both carbamazepine (0.3 µg/L) and oxypurinol (1.8 µg/L) according to
313
site-specific measurements (Table 1). Supporting the findings of our conceptual approach, in
314
finished drinking water approximately 13-14% wastewater-derived sources were determined by
315
the Berlin Water Company for DWTP-B in 2016. Subsequently, the finished drinking water,
VSA (MTL: 300 ng/L) and CBZ (MTL: 300 ng/L) under different contributions of wastewater effluent in rivers (%) and bank filtrate in raw water scenarios (%) (left). WWTP effluent concentrations (CBZ 832 ng/L39, VSA utilities and regulators in case of indicator chemical MTL exceedance (right).
12 ACS Paragon Plus Environment
Page 13 of 22
Environmental Science & Technology
316
composed of bank filtrate and landside groundwater, from DWTP-B contained mean valsartanic
317
acid (1 µg/L) and oxypurinol (0.4 µg/L) concentrations, which were above their MTLs (0.3
318
µg/L).41 This situation has triggered actions taken by Berlin Water Company to mitigate the
319
impacts of elevated wastewater contributions in streams in Berlin. The case study area DWTP-C
320
validates a scenario characterized by high wastewater effluent contributions (42 % MMAD) but
321
low bank filtrate shares (11 %), resulting in MTL exceedance of oxypurinol in bank filtrate by 500
322
ng/L as projected by the conceptual approach ().
323 324
Table 1: Validation of conceptual approach for case study areas Rhine, Havel and Main by indicator chemicals measurement data both in surface waters and in bank filtration. 𝑴𝒆𝒂𝒏 River & DWTP
Indicator
WW effluent
𝑪𝑾𝑾 𝒆𝒇𝒇𝒍𝒖𝒆𝒏𝒕
contribution in
IBF shares in wells* [%]
𝑪𝑩𝑭
[ ] 𝒏𝒈 𝑳
𝒏𝒈 ] 𝑳
River (GIS)
River*
CBZ
47835
7.4 (MAD)
9.8
78.7
37
Havel
CBZ
1,80043
32.8
100
300+
DWTP-B
OXY
9,83031
17.3
100
1,800+
OXY
9,83031
45.8
11
500
[ Rhine DWTP-A
Main DWTP-C
17 (MAD)
42 (MMAD)
*Calculations of the bank filtrate shares in wells and bank filtrate concentrations in Rhine-Düsseldorf and Main DWTP-C are based on locally measured confidential data from municipal utility of Düsseldorf and Bavarian Environmental Agency, 2018. Carbamazepine and oxypurinol concentrations from Lake Tegel are taken as 590 ng/L42 and 1,700 ng/L44, respectively. +Mean carbamazepine and oxypurinol concentrations in bank filtrate of DWTP-B, Havel, are based on the data from Hellauer et al. (2018).44
325
The findings of this study might also suggest a potential impact by microbial contaminants
326
(e.g. viruses) on the quality of bank filtered water under the influence of wastewater effluent
327
discharges. Due to lack of monitoring data and in particular information on travel time in the
328
subsurface, no conclusions on occurrence of the microbial contaminants during de facto reuse can
329
be drawn. However, drinking water facilities in Germany are required to comply with a 50-day
330
hydraulic retention time in the subsurface to assure proper inactivation of pathogens, i.e. the
331
microbial safety of raw water. However, where de facto reuse conditions (i.e. exceedance of
332
MTL’s) have been identified, follow-up studies should also include a comprehensive microbial
333
risk assessment.
334
4. Associated Content
335
Supplementary data associated with this article can be found in the online version. 13 ACS Paragon Plus Environment
Environmental Science & Technology
336
5. Author Information
337
Corresponding Author:
338
*Phone: (+49) 89 289 13701; e-mail:
[email protected] 339
Notes: The authors declare no competing financial interest.
340
Page 14 of 22
6. Acknowledgements
341
We would like to thank the German Environment Agency for funding this study (grant
342
number: 91 182) and the German Ministry of Education and Research (grant number:
343
02WAV1404A). Furthermore, we would like to thank Rolf Timmermann, Simone McCurdy and
344
Peter Schätzl (DHI-WASY) and Marian Bachmaier (TUM) for their support during the ArcGIS
345
model implementation.
346
References
347
(1) Sharma, S. K.; Amy, G. Natural treatment systems. In Water Quality & Treatment, 6th;
348
Edzwald, J. K., Ed.; McGraw-Hill: New York, 2011; 15.1–15.32.
349
(2) Hannapel, S.; Scheibler, F.; Huber, A.; Sprenger, C. Characterization of European managed
350
aquifer recharge (MAR) sites: Analysis, 2014.
351
(3) German Federal Ministry of Health; German Environment Agency (UBA). Bericht des
352
Bundesministeriums für Gesundheit und des Umweltbundesamtes an die Verbraucherinnen und
353
Verbraucher über die Qualität von Wasser für den menschlichen Gebrauch (Trinkwasser)* in
354
Deutschland (2014 - 2016); Dessau-Roßlau, 2018.
355
(4) Senate Department for Urban Development and Housing Berlin. Berlin environmental atlas:
356
02.12 Groundwater levels of the main aquifer and Panke valley aquifer; Berlin, 2017.
357
(5) Schimmelpfennig, S.; Kirillin, G.; Engelhardt, C.; Nützmann, G.; Dünnbier, U. Seeking a
358
compromise between pharmaceutical pollution and phosphorus load: Management strategies
359
for Lake Tegel, Berlin. Water Res. 2012, 46, 4153–4163.
360
(6) Glassmeyer, S. T.; Furlong, E. T.; Kolpin, D. W.; Cahill, J. D.; Zaugg, S. D.; Werner, S. L.; Meyer,
361
M. T.; Kryak, D. D. Transport of chemical and microbial compounds from known wastewater
362
discharges: Potential for use as indicators of human fecal contamination. Environ. Sci. Technol.
363
2005, 39, 5157–5169.
364
(7) Reemtsma, T.; Berger, U.; Arp, H. P. H.; Gallard, H.; Knepper, T. P.; Neumann, M.; Quintana, J.
365
B.; Voogt, P. d. Mind the gap: Persistent and mobile organic compounds-Water contaminants
366
that slip through. Environ. Sci. Technol. 2016, 50, 10308–10315. 14 ACS Paragon Plus Environment
Page 15 of 22
Environmental Science & Technology
367
(8) Bradley, P. M.; Barber, L. B.; Clark, J. M.; Duris, J. W.; Foreman, W. T.; Furlong, E. T.; Givens, C.
368
E.; Hubbard, L. E.; Hutchinson, K. J.; Journey, C. A.; Keefe, S. H.; Kolpin, D. W. Pre/post-closure
369
assessment of groundwater pharmaceutical fate in a wastewater-facility-impacted stream
370
reach. Sci. Total Environ. 2016, 568, 916–925.
371
(9) Hass, U.; Duennbier, U.; Massmann, G. Occurrence and distribution of psychoactive
372
compounds and their metabolites in the urban water cycle of Berlin (Germany). Water Res.
373
2012, 46, 6013–6022.
374
(10) Sprenger, C.; Lorenzen, G.; Hülshoff, I.; Grützmacher, G.; Ronghang, M.; Pekdeger, A.
375
Vulnerability of bank filtration systems to climate change. Sci. Total Environ. 2011, 409, 655–
376
663.
377
(11) Massmann, G.; Dünnbier, U.; Heberer, T.; Taute, T. Behaviour and redox sensitivity of
378
pharmaceutical residues during bank filtration - Investigation of residues of phenazone-type
379
analgesics. Chemosphere 2008, 71, 1476–1485.
380
(12) Massmann, G.; Greskowiak, J.; Dünnbier, U.; Zuehlke, S.; Knappe, A.; Pekdeger, A. The
381
impact of variable temperatures on the redox conditions and the behaviour of pharmaceutical
382
residues during artificial recharge. J. Hydrol. 2006, 328, 141–156.
383
(13) Rice, J.; Westerhoff, P. Spatial and temporal variation in de facto wastewater reuse in
384
drinking water systems across the U.S.A. Environ. Sci. Technol. 2015, 49, 982–989.
385
(14) National Research Council. Water reuse: Potential for expanding the nations water supply
386
through reuse of municipal wastewater; The National Academies Press: Washington, DC, 2012.
387
(15) Abegglen, C.; Siegrist, H. Mikroverunreinigungen aus kommunalem Abwasser: Verfahren zur
388
weitergehenden Elimination auf Kläranlagen. Bundesamt für Umwelt BAFU; Umwelt-Wissen No.
389
1214; Bern, 2012.
390
(16) Eggen, R. I. L.; Hollender, J.; Joss, A.; Schärer, M.; Stamm, C. Reducing the discharge of
391
micropollutants in the aquatic environment: The benefits of upgrading wastewater treatment
392
plants. Environ. Sci. Technol. 2014, 48, 7683–7689.
393
(17) Mujeriego, R.; Gullón, M.; Lobato, S. Incidental potable water reuse in a Catalonian basin:
394
Living downstream. Journal of Water Reuse and Desalination 2017, 7, 253–263.
395
(18) Wang, Z.; Shao, D.; Westerhoff, P. Wastewater discharge impact on drinking water sources
396
along the Yangtze River (China). Sci. Total Environ. 2017, 599-600, 1399–1407.
397
(19) Wiener, M. J.; Jafvert, C. T.; Nies, L. F. The assessment of water use and reuse through
398
reported data: A US case study. Sci. Total Environ. 2016, 539, 70–77.
15 ACS Paragon Plus Environment
Environmental Science & Technology
Page 16 of 22
399
(20) German Environment Agency (UBA). Data - Urban waste water. https://www.thru.de/3/
400
urban-waster-water/ (accessed February 20, 2018).
401
(21) European Environment Agency (EEA). Waterbase: UWWTD: Urban waste water treatment
402
directive - reported data. https://www.eea.europa.eu/ds_resolveuid/
403
94eff864373b47efa866128df909ac48 (accessed September 24, 2017).
404
(22) Wasserstraßen- und Schifffahrtsverwaltung des Bundes (WSV). PEGELONLINE. https://
405
www.pegelonline.wsv.de/gast/start (accessed October 3, 2017).
406
(23) The Global Runoff Data Centre (GRDC). River Discharge Data. http://www.bafg.de/GRDC/
407
EN/Home/homepage_node.html (accessed October 3, 2017).
408
(24) LUBW Landesanstalt für Umwelt Baden-Württemberg. Deutsches Gewässerkundliches
409
Jahrbuch. http://www.dgj.de/ (accessed January 23, 2018).
410
(25) Bundesamt für Kartographie und Geodäsie Dienstleistungszentrum (DLZ). GeoBasis-DE /
411
BKG. http://www.geodatenzentrum.de/geodaten/gdz_rahmen.gdz_div?gdz_spr=deu&gdz_akt_
412
zeile=5&gdz_anz_zeile=1&gdz_unt_zeile=1&gdz_user_id=0 (accessed November 20, 2017).
413
(26) Moser, A.; Wemyss, D.; Scheidegger, R.; Fenicia, F.; Honti, M.; Stamm, C. Modelling biocide
414
and herbicide concentrations in catchments of the Rhine basin. Hydrol. Earth Syst. Sci. 2018, 22,
415
4229–4249.
416
(27) Fleig, M.; Brauch, H.-J.; Fink, A.; Post, B. Sonderuntersuchungen zum Vorkommen
417
organischer Spurenstoffe im Unterlauf des Mains. In 73. Jahresbericht; Geschäftsstelle der
418
Arbeitsgemeinschaft Rheinwasserwerke e.V. (ARW), Ed., 2016.
419
(28) Scheurer, M.; Storck, F. R.; Graf, C.; Brauch, H.-J.; Ruck, W.; Lev, O.; Lange, F. T. Correlation
420
of six anthropogenic markers in wastewater, surface water, bank filtrate, and soil aquifer
421
treatment. J Environ Monit 2011, 13, 966–973.
422
(29) Arbeitsgemeinschaft Rhein-Wasserwerke (ARW). 73. Jahresbericht, 2016.
423
(30) Dickenson, E. R. V.; Snyder, S. A.; Sedlak, D. L.; Drewes, J. E. Indicator compounds for
424
assessment of wastewater effluent contributions to flow and water quality. Water Res. 2011, 45,
425
1199–1212.
426
(31) Funke, J.; Prasse, C.; Lütke Eversloh, C.; Ternes, T. A. Oxypurinol - A novel marker for
427
wastewater contamination of the aquatic environment. Water Res. 2015, 74, 257–265.
428
(32) German Environment Agency (UBA). List of substances evaluated according to GOW.
429
https://www.umweltbundesamt.de/sites/default/files/medien/374/dokumente/liste_der_
430
nach_gow_bewerteten_stoffe_201802.pdf (accessed 16.12.18). 16 ACS Paragon Plus Environment
Page 17 of 22
Environmental Science & Technology
431
(33) Drewes, J. E.; Anderson, P.; Denslow, N.; Jakubowski, W.; Olivieri, A.; Schlenk, D.; Snyder, S.
432
A. Monitoring strategies for constituents of emerging concern (CECs) in recycled water:
433
Recommendations of a science advisory panel. SCCWRP Technical Report 1032. https://
434
www.waterboards.ca.gov/water_issues/programs/water_recycling_policy/docs/2018/final_
435
report_monitoring_strategies_for_cecs_in_recycled_water_april2018.pdf (accessed May 3, 2018).
436
(34) Rice, J.; Via, S. H.; Westerhoff, P. Extent and impacts of unplanned wastewater reuse in US
437
rivers. Am. Water Works Assoc. 2015, 107, E571-E581.
438
(35) Klasmeier, J.; Kehrein, N.; Berlekamp, J.; Matthies, M. Mikroverunreinigungen in
439
oberirdischen Gewässern: Ermittlung des Handlungsbedarfs bei kommunalen Kläranlagen -
440
Abschlussbericht. https://www.lfu.bayern.de/wasser/abwasser_anthropogene_spurenstoffe/
441
stoffflussmodell/doc/endbericht.pdf (accessed January 10, 2017).
442
(36) Storck, F. R.; Schmidt, C. K.; Lange, F. T.; Henson, J. W.; Hahn, K. Factors controlling
443
micropollutant removal during riverbank filtration. Am. Water Works Assoc. 2012, 104, E643-
444
E652.
445
(37) Regnery, J.; Gerba, C. P.; Dickenson, E. R. V.; Drewes, J. E. The importance of key attenuation
446
factors for microbial and chemical contaminants during managed aquifer recharge: A review.
447
Crit. Rev. Environ. Sci. Technol. 2017, 47, 1409–1452.
448
(38) Nödler, K.; Hillebrand, O.; Idzik, K.; Strathmann, M.; Schiperski, F.; Zirlewagen, J.; Licha, T.
449
Occurrence and fate of the angiotensin II receptor antagonist transformation product valsartan
450
acid in the water cycle-a comparative study with selected β-blockers and the persistent
451
anthropogenic wastewater indicators carbamazepine and acesulfame. Water research 2013, 47,
452
6650–6659.
453
(39) Loos, R.; Carvalho, R.; António, D. C.; Comero, S.; Locoro, G.; Tavazzi, S.; Paracchini, B.;
454
Ghiani, M.; Lettieri, T.; Blaha, L.; Jarosova, B.; Voorspoels, S.; Servaes, K.; Haglund, P.; Fick, J.;
455
Lindberg, R. H.; Schwesig, D.; Gawlik, B. M. EU-wide monitoring survey on emerging polar
456
organic contaminants in wastewater treatment plant effluents. Water Res. 2013, 47, 6475–6487.
457
(40) Loos, R.; Gawlik, B. M.; Locoro, G.; Rimaviciute, E.; Contini, S.; Bidoglio, G. EU-wide survey
458
of polar organic persistent pollutants in European river waters. Environ Pollut. 2009, 157, 561–
459
568.
460
(41) Rehfeld-Klein, M. Spurenstoffe in Oberflächengewässern und Rohwässern der
461
Trinkwassergewinnung Berlins: Rahmenbedingungen, Probenahme, Maßnahmenplanung.
462
https://www.hlnug.de/fileadmin/dokumente/wasser/Archiv_Veranstaltungen/2017/
463
Symposium_Spurenstoffe/Vortrag_Rehfeld-Klein.pdf (accessed May 15, 2017).
17 ACS Paragon Plus Environment
Environmental Science & Technology
Page 18 of 22
464
(42) Schimmelpfennig, S.; Kirillin, G.; Engelhardt, C.; Dünnbier, U.; Nützmann, G. Fate of
465
pharmaceutical micro-pollutants in Lake Tegel (Berlin, Germany): The impact of lake-specific
466
mechanisms. Environ. Earth Sci. (Environmental Earth Sciences) 2016, 75, DOI:
467
10.1007/s12665-016-5676-4.
468
(43) Altmann, J.; Ruhl, A. S.; Zietzschmann, F.; Jekel, M. Direct comparison of ozonation and
469
adsorption onto powdered activated carbon for micropollutant removal in advanced
470
wastewater treatment. Water Res. 2014, 55, 185–193.
471
(44) Hellauer, K.; Karakurt, S.; Sperlich, A.; Burke, V.; Massmann, G.; Hübner, U.; Drewes, J. E.
472
Establishing sequential managed aquifer recharge technology (SMART) for enhanced removal of
473
trace organic chemicals: Experiences from field studies in Berlin, Germany. J. Hydrol. 2018, 563,
474
1161–1168.
18 ACS Paragon Plus Environment
Page 19 of 22
Environmental Science & Technology
Figure 1: Comparison of MMAD and MAD hydrological characteristic values with daily average discharges during dry (2003) and average (2005) representative years for three gauging stations of the Rhine (at R), Main (at M) and Neckar (at N) rivers 63x34mm (300 x 300 DPI)
ACS Paragon Plus Environment
Environmental Science & Technology
Figure 2: Comparison of wastewater effluent contribution (secondary axis) from GIS model under MMAD (black dots with dashed line) and MAD conditions (black dots with solid line) with dilution calculation using carbamazepine concentrations (grey dots with dashed line). Carbamazepine point samples were measured in wastewater effluents (2010)32 and the Main river (2017). 222x127mm (150 x 150 DPI)
ACS Paragon Plus Environment
Page 20 of 22
Page 21 of 22
Environmental Science & Technology
Figure 3: Map of nationwide wastewater effluent contributions under MMAD conditions (a) and share of gauging stations with relative wastewater effluent contributions for river basins under MMAD (b) and MAD (c) conditions. 228x155mm (150 x 150 DPI)
ACS Paragon Plus Environment
Environmental Science & Technology
Figure 4: Projected benchmark of MTL exceedances for indicator chemicals OXY (MTL: 300 ng/L), VSA (MTL: 300 ng/L) and CBZ (MTL: 300 ng/L) under different contributions of wastewater effluent in rivers (%) and bank filtrate in raw water scenarios (%) (left). WWTP effluent concentrations (CBZ 832 ng/L35, VSA 1,310 ng/L34 and OXY 9,830 ng/L28) are representing mean values, taken from literature. Guidance for water utilities and regulators in case of indicator chemical MTL exceedance (right). 342x153mm (120 x 120 DPI)
ACS Paragon Plus Environment
Page 22 of 22