Micropollutants in Urban Stormwater Runoff of Different Land Uses
Open accessAbstract
The main aim of this study was a survey of micropollutants in stormwater runoff of Berlin (Germany) and its dependence on land-use types. In a one-year monitoring program, event mean concentrations were measured for a set of 106 parameters, including 85 organic micropollutants (e.g., flame retardants, phthalates, pesticides/biocides, polycyclic aromatic hydrocarbons (PAH)), heavy metals and standard parameters. Monitoring points were selected in five catchments of different urban land-use types, and at one urban river. We detected 77 of the 106 parameters at least once in stormwater runoff of the investigated catchment types. On average, stormwater runoff contained a mix of 24 µg L−1 organic micropollutants and 1.3 mg L−1 heavy metals. For organic micropollutants, concentrations were highest in all catchments for the plasticizer diisodecyl phthalate. Concentrations of all but five parameters showed significant differences among the five land-use types. While major roads were the dominant source of traffic-related substances such as PAH, each of the other land-use types showed the highest concentrations for some substances (e.g., flame retardants in commercial area, pesticides in catchment dominated by one family homes). Comparison with environmental quality standards (EQS) for surface waters shows that 13 micropollutants in stormwater runoff and 8 micropollutants in the receiving river exceeded German quality standards for receiving surface waters during storm events, highlighting the relevance of stormwater inputs for urban surface waters.
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Written from the paper’s full text.
TL;DR
This one-year Berlin monitoring study measured event mean concentrations of 106 micropollutants in stormwater runoff from five urban land-use types and in one receiving urban river. It found widespread micropollutant mixtures, land-use-specific concentration patterns, and exceedances of surface-water quality standards for 13 compounds in runoff and 8 in the river during storm events.
Key findings
- Of 106 parameters, 77 were detected at least once in stormwater runoff; average runoff contained a mix of 24 ± 2.6 µg L⁻¹ organic micropollutants and 1.3 mg L⁻¹ heavy metals.
- Concentrations differed significantly among the five land-use types for all but five parameters; major roads dominated traffic-related substances such as PAH, while other land uses had highest concentrations for some substances (e.g., flame retardants in commercial areas, pesticides in one-family-home catchments).
- 13 micropollutants in stormwater runoff and 8 micropollutants in the receiving river exceeded German quality standards for receiving surface waters during storm events.
- Heavy metals were dominated by zinc (overall mean 954 µg L⁻¹; max 10,000 µg L⁻¹), copper (253 µg L⁻¹; max 5,300 µg L⁻¹), and lead (68 µg L⁻¹; max 780 µg L⁻¹).
Methods
- One-year monitoring program (May 2014–June 2015) in five Berlin catchments representing old building areas (OLD), new building areas (NEW), one-family houses (OFH), commercial areas (COM), and large streets (STR), plus one urban river station on the Panke.
- Stormwater runoff was sampled using fixed time interval and variable sampling volume proportional to runoff volume (method 3); 143 volume-proportional composite samples were collected, of which 93 were analyzed for the complete set of chemical parameters.
- Samples were analyzed for 106 parameters including standard parameters, organic micropollutants, and heavy metals; statistical differences among land-use types were tested with Kruskal-Wallis and Dunn tests.
Limitations
- Stated: comparing stormwater concentrations directly to EQS neglects dilution with river water and other point sources; EQS are developed for long exposure times, and it remains unclear how short, high concentration peaks during storm events should be assessed.
- Stated: stormwater runoff contains a mixture of >50 micropollutants, and mixture effects could amplify or reduce impacts of single compounds; the authors state it is impossible to make a final judgment on the relevance of stormwater pollution for urban surface-water ecology.
- Stated: no extreme rainfall (>20 mm) occurred during the sampling period; for some organic micropollutants such as TBP, 2-phenylphenol, or 4-tert-butylphenol, dominant sources are unclear and concentration patterns could not be explained by known land-use differences.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
2 of 31 cited sources checked · 0 supported · 0 flagged · accuracy not yet measured
- Findingown data
Biocides of interest (average concentrations >0.05 μg L-1) found in this study include mecoprop, carbendazim, diuron, glyphosate, AMPA, terbutryn and terbuthylazin.
“Generally, biocides of interest (average concentrations >0.05 µg L -1 ) that were found in this study include mecoprop, carbendazim, diuron, glyphosate, AMPA, terbutryn and terbuthylazin.”
Quote in the paperNot a substantial claim - Findingown data
Only for PCB, PBDE, organotin compounds, MTBE and four biocides/pesticides (imidacloprid, thiacloprid, simazine, dichlorbenzamide [DCBA]) all analyzed samples were below the respective LOQ.
“Only for PCB, PBDE, organotin compounds, MTBE and four biocides/pesticides (imidacloprid, thiacloprid, simazine, dichlorbenzamide [DCBA]) all analyzed samples were below the respective LOQ (see Supplementary Table S1 for LOQs).”
Quote in the paperNot a substantial claim - Findingown data
For 6 parameters of organic micropollutants (DIDP + DINP, DEHP, TBEP, sum of the 16 PAH, caffeine and nicotine), average concentrations >1 μg L-1 were determined over all samples and land-use types.
“For 6 parameters of organic micropollutants, the phthalates DIDP + DINP and DEHP, the flame-retardant TBEP, the sum of the 16 PAH and the stimulants caffeine and nicotine, average concentrations >1 µg L -1 were determined over all the samples and land-use types (see Table 4).”
Quote in the paperNot a substantial claim - Findingnone given
STR stands out with significantly higher values for a number of heavy metals (Ni, Cr, Ti, V).
“Similarly, STR stands out with significantly higher values for a number of heavy metals (Ni, Cr, Ti, V).”
Quote in the paperNot a substantial claim - Findingown data
In Berlin, each year 70% or 48 million m3 of stormwater is discharged mostly untreated into Berlin's surface waters via the separated sewer system.
“For example, in Berlin (Germany) each year 70% or 48 million m 3 of stormwater is discharged mostly untreated into Berlin's surface waters via the separated sewer system (own estimate based on urban drainage data).”
Quote in the paperNot a substantial claim
- Findingown data
For all heavy metals and standard parameters, except BOD5, significant differences were found among land-use types based on the Kruskal-Wallis test.
“For all heavy metals and standard parameters, except BOD 5 , significant differences were found among land-use types, based on the Kruskal-Wallis test (see Supplementary Table S4).”
Quote in the paperSubstantial claim - Findingown data
We detected 77 of 106 parameters above LOQ in stormwater runoff.
“We detected 77 of 106 parameters in Table 3 above LOQ in stormwater runoff.”
- Also stated in: § Abstract · plain
“We detected 77 of the 106 parameters at least once in stormwater runoff of the investigated catchment types.”
Quote in the paperNot a substantial claim - Also stated in: § Abstract · plain
- Findingown data
Overall, 38% of all possible land-use pairs showed significant differences in pair-wise Dunn tests.
“Overall, 38% of all the possible land-use pairs showed significant differences in pair-wise Dunn tests.”
Quote in the paperNot a substantial claim - Findingown data
Differences between wet and dry weather concentrations for Zn and Cu were more than one order of magnitude.
“Differences between wet and dry weather concentrations for Zn and Cu were more than one order of magnitude.”
Quote in the paperNot a substantial claim - Findingown data
The five selected land-use types represent approximately 83% of Berlin's impervious area connected to the sewer network.
“Together, the five selected land-use types represent ~83% of Berlin's impervious area connected to the sewer network (see Figure 1).”
Quote in the paperNot a substantial claim - Findingown data
TSS and COD concentrations for land-use type STR were significantly higher than concentrations of all other land-use types.
“Pronounced differences between land-use types could be seen in the concentrations of TSS and COD for land-use type STR, which were significantly higher than concentrations of all other land-use types (significant difference for 88% of land use pairs with STR for TSS and COD, see Supplementary Table S4).”
Quote in the paperSubstantial claim - Findingown data
Most investigated standard parameters and heavy metals showed clear peaks in the River Panke during stormwater impacts.
“Most investigated standard parameters and heavy metals also showed clear peaks in the River Panke during stormwater impacts.”
Quote in the paperSubstantial claim - Findingreasoning
Orthophosphate was significantly higher in OFH.
“In contrast, orthophosphate was significantly higher in OFH, potentially due to fertilizer application in private gardens.”
Quote in the paperNot a substantial claim - Findingown data
We detected 63 of 92 analyzed organic micropollutants in at least one sample of stormwater runoff of the investigated catchment types.
“We detected 63 of 92 analyzed organic micropollutants in at least one sample of stormwater runoff of the investigated catchment types.”
Quote in the paperNot a substantial claim - Findingown data
The average stormwater sample contained a total of >20 μg L-1 in organic micropollutants (average sum of all analyzed organic micropollutants is 24 ± 2.6 μg L-1).
“Figure 3 also indicates that the average stormwater sample contained a total of >20 µg L -1 in organic micropollutants (average sum of all analyzed organic micropollutants is 24 ± 2.6 µg L -1 ), with significantly higher concentrations for single events.”
Quote in the paperNot a substantial claim - Findingown data
All land-use types contained dominant sources for some micropollutants.
“all land-use types contained dominant sources for some micropollutants”
Quote in the paperSubstantial claim - Findingown data
Catchment-specific average concentrations in stormwater runoff exceeded EQS for 13 compounds: one phthalate (DEHP), four biocides (carbendazim, mecoprop, diuron, terbutryn), four PAH (fluoranthene, benzo[a]pyrene, benzo[b]fluoranthene, benzo[ghi]perylene) and four heavy metals (Zn, Cu, Pb, Cd).
“EQS for surface waters were exceeded by catchment-specific average concentrations for one phthalate (DEHP), four biocides (carbendazim, mecoprop, diuron, terbutryn), four PAH (fluoranthene, benzo[a]pyrene, benzo[b]fluoranthene, benzo[ghi]perylene) and four heavy metals (Zn, Cu, Pb, Cd).”
- Also stated in: § • · plain
“For 13 compounds (including 4 heavy metals) average concentrations in stormwater runoff exceeded EQS”
Quote in the paperSubstantial claim - Also stated in: § • · plain
- Findingown data
Each of the five land-use types showed highest mean concentrations for some organic micropollutants.
“Surprisingly, each of the five land-use types showed highest mean concentrations for some organic micropollutants; i.e., the biocide mecoprop was highest in OLD, the pesticide isoproturon in OFH, the flame-retardant TBP in NEW, the phthalate DINP + DIDP in COM and PAH16 in STR.”
Quote in the paperNot a substantial claim - Findingown data
Event mean concentrations showed significant differences between land use types for about 90% of tested substances.
“Event mean concentrations showed significant differences between land use types for ~90% of tested substances.”
Quote in the paperSubstantial claim - Findingown data
Biocides of interest with average concentrations greater than 0.05 μg L -1 found in this study include mecoprop, carbendazim, diuron, glyphosate, AMPA, terbutryn and terbuthylazin.
“Generally, biocides of interest (average concentrations >0.05 µg L -1 ) that were found in this study include mecoprop, carbendazim, diuron, glyphosate, AMPA, terbutryn and terbuthylazin.”
Quote in the paperNot a substantial claim - Findingown data
Estimated area of plastered walls/facades with potential connection to storm sewers correlated with land-use medians of carbendazim and diuron with R2 of 0.85 and 0.68, respectively.
“To test this hypothesis, we estimated the area of plastered walls/facades with potential connection to storm sewers (direct connection to impervious surfaces, no front gardens or similar below facade) in all the monitoring catchments and found correlation coefficients R 2 for land-use medians of carbendazim and diuron of 0.85 and 0.68, respectively.”
Quote in the paperSubstantial claim - Findingown data
In general, reported concentrations are well within 95% prediction intervals of the presented data.
“In general, reported concentrations are well within 95%prediction intervals of the presented data.”
Quote in the paperNot a substantial claim - Findingown data
Of the organic micropollutants with significant differences, 52% of all possible land-use pairs showed significant differences in pair-wise Dunn tests.
“Of the organic micropollutants with significant differences, 52% of all the possible land-use pairs showed significant differences in pair-wise Dunn tests.”
Quote in the paperSubstantial claim - Findingown data
The flame retardant and plasticizer TBEP shows significant differences between three groups from highest concentrations in COM and NEW to medium ones in OLD to lowest concentrations in STR and OFH.
“For instance, the flame retardant and plasticizer TBEP shows significant differences between three groups from highest concentrations in COM and NEW to medium ones in OLD to lowest concentrations in STR and OFH (see Supplementary Table S3).”
Quote in the paperNot a substantial claim - Findingown data
77 of 106 organic and inorganic micropollutants of different chemical groups and sources were detected in 143 event-based samples of stormwater runoff from five different urban land use types.
“We detected 77 of 106 organic and inorganic micropollutants of different chemical groups and sources in 143 event-based samples of stormwater runoff from five different urban land use types.”
Quote in the paperSubstantial claim - Findingcitation
Concentrations slightly above the 95%-prediction interval of this study were also reported by Gasperi et al. for isoproturon and AMPA, two pesticides/biocides with a predominant source in classical weed control.
“Concentrations slightly above the 95%-prediction interval of this study were also reported by Gasperi et al.[6] for isoproturon and AMPA (metabolite of glyphosate), two pesticides/biocides, which have a predominant source in classical weed control.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [6] Gasperi, 2014, Micropollutants in urban stormwater: Occurrence, concentrations, and atmospheric contributions for a wide range of contaminants in three French catchments, Environ. Sci. Pollut. Res. source
- Findingown data
PAH ratios show that PAH emissions in all land-use types of this study are dominated by traffic (benzo[a]pyrene/benzo[ghi]perylene ratio average values of 1.6 for STR and 1.2-1.4 for all other land-use types).
“PAH ratios for source evaluation proposed by Tobiszewski and Namieśnik [38] were determined and clearly show that PAH emissions in all the land-use types of this study are dominated by traffic (e.g., benzo[a]pyrene/benzo[ghi]perylene-ratio to distinguish between traffic (>0.6) and non-traffic (<0.6) emissions resulted in average values of 1.6 for STR and 1.2-1.4 for all other land-use types).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tobiszewski and Namieśnik [38] Tobiszewski, 2012, PAH diagnostic ratios for the identification of pollution emission sources, Environ. Pollut. source
- Findingown data
Observed differences among the five land-use types were statistically significant for all but four tested organic micropollutants, based on the Kruskal-Wallis test.
“The observed differences among the five land-use types were also statistically significant for all but four tested organic micropollutants, based on the Kruskal-Wallis test (see Supplementary Table S3).”
Quote in the paperSubstantial claim - Findingown data
Road runoff was the most important source for some compounds such as polycyclic aromatic hydrocarbons or benzothiazole.
“While road runoff was the most important source for some compounds such as polycyclic aromatic hydrocarbons or benzothiazole”
Quote in the paperSubstantial claim - Findingown data
If only the sum parameter of PAH (PAH16) is considered, the five land-use types OLD, NEW, OFH, STR and COM showed the highest mean concentrations for 31%, 8%, 12%, 31% and 19% of the organic micropollutants in Table 4, respectively.
“If only the sum parameter of PAH (PAH16) is considered, the five land-use types OLD, NEW, OFH, STR and COM showed the highest mean concentrations for 31%, 8%, 12%, 31% and 19% of the organic micropollutants in Table 4, respectively.”
Quote in the paperNot a substantial claim - Findingown data
Correlating traffic estimates for the five land-use types with substance medians found expected correlations for PAH16 and benzothiazoles, with R2 of 0.83 and 0.85, respectively.
“By correlating these traffic estimates for the five land-use types with substance medians we found expected correlations for PAH16 and benzothiazoles, with R 2 of 0.83 and 0.85, respectively.”
Quote in the paperSubstantial claim - Findingcitation
The biocide diuron was reported at 5 to 16-fold higher concentrations by Gasperi et al. and Zgheib et al. for France.
“In turn, the biocide diuron was reported at 5 to 16-fold higher concentrations by Gasperi et al.[6] and Zgheib et al.[7] for France.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [6] Gasperi, 2014, Micropollutants in urban stormwater: Occurrence, concentrations, and atmospheric contributions for a wide range of contaminants in three French catchments, Environ. Sci. Pollut. Res. source
- cites [7] Zgheib, 2012, Priority pollutants in urban stormwater: Part 1—Case of separate storm sewers, Water Res. source
- Findingreasoning
The most prominent biocide in this study, mecoprop, was found at about 100 times lower concentrations in French catchments.
“The most prominent biocide in this study, mecoprop, was found at ~100 times lower concentrations in French catchments.”
Quote in the paperNot a substantial claim - Findingreasoning
Glyphosate and its metabolite AMPA were found at similar concentrations in most land-use types.
“As a result, glyphosate and its metabolite AMPA were found at similar concentrations in most land-use types (Figure 4).”
Quote in the paperSubstantial claim - Findingown data
Maximum concentrations in the Panke river during storm events exceeded MAC-EQS for eight compounds: zinc, copper, DEHP, carbendazim, mecoprop, fluoranthene, benzo[b]fluoranthene and benzo[ghi]perylene.
“In the case of the Panke river, maximum concentrations measured during storm events also exceeded the higher maximum allowable concentrations values (MAC-EQS) for eight of these compounds (zinc, copper, DEHP, carbendazim, mecoprop, fluoranthene, benzo[b]fluoranthene and benzo[ghi]perylene)”
- Also stated in: § • · plain
“For 8 compounds (including 2 heavy metals) maximum concentrations in an urban stream even exceeded maximum allowable concentrations of EQS”
Quote in the paperSubstantial claim - Also stated in: § • · plain
- Findingown data
PAH, benzothiazoles and benzotriazoles were found in significantly higher concentrations in STR than for the other land-use types.
“Also, in this study the compounds in these three groups were found in significantly higher concentrations in STR than for the other land-use types.”
Quote in the paperSubstantial claim - Findingown data
Concentrations of most compounds in river samples taken during storm events are about one order of magnitude higher than concentrations at dry weather conditions.
“As shown in Figure 5, concentrations of most compounds in river samples taken during storm events are about one order of magnitude higher compared to concentrations at dry weather conditions”
Quote in the paperSubstantial claim - Findingown data
All other substance groups showed concentration increases during stormwater impacts by factors between 5 (phthalates and benzothiazoles) and 20 (PAH) with an average of 13.
“All other substance groups showed concentration increases during stormwater impacts by factors between 5 (phthalates and benzothiazoles) and 20 (PAH) with an average of 13.”
Quote in the paperSubstantial claim - Premisecitation
Urban stormwater runoff from impervious surfaces can be an important source of diffuse pollution contributing to the degradation of urban surface waters.
“Urban stormwater runoff from impervious surfaces can be an important source of diffuse pollution contributing to the degradation of urban surface waters [1,2].”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
The first sampling method gives a composite sample that is likely to be biased since the flow is not considered in the preparation of the composite sample.
“The first method gives a composite sample that is likely to be biased since the flow is not considered in the preparation of the composite sample [30].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] Ort, 2006, Sampling for representative micropollutant loads in sewer systems, Water Sci. Tech. source
- Study design and conductcitation
Following Sandoval et al. for Berlin, the selected sampling strategy would lead to sampling uncertainties below 20%.
“Following the results of Sandoval et al. [35] obtained for stormwater runoff in Berlin, this strategy would lead to sampling uncertainties below 20%, which seems a reasonable tradeoff between sampling uncertainty and the duration of the events covered by the sampling strategy.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Sandoval et al. [35] Sandoval, 2018, Performance and uncertainties of TSS stormwater sampling strategies from online time series, Water Sci. Tech. source
- Study design and conductown data
Concentration values for each catchment type were not normally distributed, as tested by the Shapiro-Wilk test.
“As concentration values for each catchment type (n = 14-41 depending on parameter) were not normally distributed (tested by Shapiro-Wilk-test, see Supplementary Table S2 for results), an analysis of variance (ANOVA) could not be applied.”
Quote in the paperSubstantial claim - Premisereasoning
No land use-related differences were described for most trace organics and heavy metals by the same authors.
“However, no land use-related differences were described for most trace organics and heavy metals by the same authors.”
Quote in the paperSubstantial claim - Interpretationreasoning
The lack of land use-related differences for most trace organics and heavy metals may be due to consideration of large stormwater catchments of mixed land use by most existing monitoring programs.
“This may be due to consideration of large stormwater catchments of mixed land use by most existing monitoring programs (e.g., [6,7,27,28]).”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [6] Gasperi, 2014, Micropollutants in urban stormwater: Occurrence, concentrations, and atmospheric contributions for a wide range of contaminants in three French catchments, Environ. Sci. Pollut. Res. source
- cites [7] Zgheib, 2012, Priority pollutants in urban stormwater: Part 1—Case of separate storm sewers, Water Res. source
- cites [27] Koivusalo, 2017, Land-use based stormwater pollutant load estimation and monitoring system design, Urb. Water J. source
- cites [28] Pitt, R., Maestre, A., and Morquecho, R. (2021, February 15). The National Stormwater Quality Database. Available online: http://rpitt.eng.ua.edu/Research/ms4/Paper/recentpaper.htm.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Heavy metals in stormwater runoff (e.g., Zn, Cu) are of ecotoxicological concern due to much higher concentrations, their persistence and effects in aquatic biota.
“Besides trace organics, heavy metals in stormwater runoff (e.g., Zn, Cu) are also of ecotoxicological concern due to much higher concentrations, their persistence and effects in aquatic biota [25].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Kayhanian, 2008, Toxicity of urban highway runoff with respect to storm duration, Sci. Total Environ. source
- Interpretationown data
Similar values of mean/median concentrations across the five land-use types indicate that the monitoring sites in this study were representative for mixed land use.
“Thus, similar values of mean/median concentrations across the five land-use types of this data set indicate that monitoring sites in this study were representative for mixed land use.”
Quote in the paperSubstantial claim - Interpretationown data
PAH ratios for source evaluation proposed by Tobiszewski and Namieśnik clearly show that PAH emissions in all land-use types of this study are dominated by traffic.
“PAH ratios for source evaluation proposed by Tobiszewski and Namieśnik[38] were determined and clearly show that PAH emissions in all the land-use types of this study are dominated by traffic”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [38] Tobiszewski, 2012, PAH diagnostic ratios for the identification of pollution emission sources, Environ. Pollut. source
- Interpretationreasoning
Differences in naphthalene concentrations may be explained by other sources than vehicular combustion in the Paris study.
“Consequently, differences in naphthalene concentrations may be explained by other sources than vehicular combustion in the Paris study.”
Quote in the paperSubstantial claim - Interpretationown data
The exceedance of MAC-EQS by maximum concentrations in the Panke river demonstrates the relevance of stormwater inputs for urban surface waters.
“highlighting the relevance of stormwater inputs for urban surface waters.”
- Also stated in: § • · boosted
“demonstrating the relevance of stormwater inputs for urban surface waters.”
Quote in the paperSubstantial claim - Also stated in: § • · boosted
- Interpretationown data
Stormwater runoff is responsible for concentration peaks of these and many other substances during storm events.
“strongly suggesting that stormwater runoff is responsible for concentration peaks of these and many of the other substances during storm events.”
Quote in the paperSubstantial claim - Interpretationreasoning
Observed differences between the five monitoring catchments can be explained plausibly by sources closely associated with the investigated five land-use types.
“The above examples show that observed differences between the five monitoring catchments can be explained plausibly by sources, which are closely associated with the investigated five land-use types.”
Quote in the paperSubstantial claim - Interpretationown data
The maximum dissolved zinc and copper concentrations are remarkable in regard to EQS of 33 μg L -1 for zinc and 2.4 μg L -1 for copper recommended by the German EPA as maximum allowable concentrations.
“which is remarkable in regard to environmental quality standards of 33 µg L -1 for zinc and 2.4 µg L -1 for copper recommended by the German EPA as maximum allowable concentrations [43].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] Wenzel, A., Schlich, K., Shemotyuk, L., and Nendza, M. (2021, May 07). Revision der Umweltqualitätsnormen der Bundes-Oberflächengewässerverordnung nach Ende der Übergangsfrist für Richtlinie 2006/11/EG und Fortschreibung der europäischen Umweltqualitätsziele für prioritäre Stoffe, Texte 47/2015, Available online: https://www.umweltbundesamt.de/publikationen/revision-der-umweltqualitaetsnormen-der-bundes.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Given the limitations, it is impossible to make a final judgment on the relevance of pollution from stormwater runoff for the ecology of urban surface waters.
“Given these limitations, it is impossible to make a final judgment on the relevance of pollution from stormwater runoff for the ecology of urban surface waters.”
Quote in the paperNot a substantial claim - Interpretationcitation
PNEC values from literature indicated potentially low relevance for aquatic organisms from TBEP.
“which indicated potentially low relevance for aquatic organisms from TBEP”
Quote in the paperNot a substantial claim- Rests on an assumption: PNEC values from the literature are valid for assessing the potential relevance of TBEP and nicotine to aquatic organisms.
- Interpretationreasoning
The two exceptions acesulfame and nicotine indicate that littering seems to be equally distributed in Berlin.
“Two exceptions were the artificial sweetener acesulfame (possibly from littered consumables such as chewing gums or soft drink bottles) and nicotine (from littered cigarette butts), indicating that littering seems to be equally distributed in Berlin.”
Quote in the paperNot a substantial claim
- May combine two claims. 35
- Classified as probably not a substantial claim. 10
May combine two claims.
InterpretationreasoningMost PAH compounds reported in the US study by Masoner et al. were clearly above the 97.5% quantile of the concentrations in this study, probably due to higher traffic volumes in the US.
“In contrast, most PAH compounds reported in the US study by Masoner et al.[9] were clearly above the 97.5% quantile of the concentrations in this study, probably due to higher traffic volumes in the US.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [9] Masoner, 2019, Urban Stormwater: An Overlooked Pathway of Extensive Mixed Contaminants to Surface and Groundwaters in the United States, Environ. Sci. Tech. source
The Results and Discussion section (Organic Chemical Mixtures in Urban Stormwater Runoff; page unavailable) reports high concentrations for several PAHs in US stormwater samples. Masoner et al. do not compare those concentrations with the citing study’s 97.5% quantile or establish that higher US traffic volumes explain the difference; those are the citing authors’ comparison and proposed explanation. (LLM, conf=0.83)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome studies indicated that a mixture of micropollutants could either amplify or reduce the impact of single compounds.
“Some studies indicated that such a mixture could either amplify or reduce the impact of single compounds [44].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [44] Carvalho, 2014, Mixtures of chemical pollutants at European legislation safety concentrations: How safe are they?, Toxicol. Sci. source
The Discussion reports combined toxicity and describes mechanisms that can potentiate the toxicity of other chemicals. It also says a difference between estimated and experimental estrogenic activity may reflect a mixture antagonistic effect, but says this requires further investigation. Thus the paper supports possible amplification and reduction of expected effects, not an established finding that mixtures reduce the impact of single compounds. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataIn stormwater runoff, zinc, nickel and copper compounds were present to a high extent in dissolved form (Zn: 48%, Ni: 44%, Cu: 33%), whereas lead and titanium showed a predominant particulate fraction >85%.
“Results indicated that especially zinc, nickel and copper compounds were present to a high extent in dissolved form in stormwater runoff (Zn: 48%, Ni: 44% and Cu: 33%), whereas lead and titanium showed a predominant particulate fraction > 85%.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningZn was significantly higher in OLD and COM than STR, which in turn was significantly higher than NEW and OFH.
“Surprisingly, Zn was significantly higher in OLD and COM than STR, which in turn was significantly higher than NEW and OFH.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown data68 substances were also detected in wet weather grab samples from the Panke river.
“68 substances were also detected in wet weather grab samples from the Panke river.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOn average, wet weather concentrations exceeded dry weather concentrations by a factor of 7 for standard parameters and 15 for heavy metals.
“On average, wet weather concentrations exceeded those during dry weather by a factor of 7 and 15, for standard parameters and heavy metals, respectively.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataConcentrations of organic micropollutants were highest for phthalates, dominated by diisodecyl + diisononyl phthalate (DIDP + DINP), with an average concentration for all samples of 12 ± 2.1 μg L-1.
“As shown in Figure 3, concentrations of organic micropollutants were highest for phthalates, dominated by diisodecyl + diisononyl phthalate (DIDP + DINP, technical mixture of phthalates replacing DEHP) with an average concentration for all samples of 12 ± 2.1 µg L -1 .”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOverall, STR was the dominant land use for 22 out of 48 parameters in Table 4, including 14 PAH.
“Overall, STR was the dominant land use for 22 out of 48 parameters in Table 4.However, this included 14 PAH.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPAH concentrations in this study (mean of ∑PAH16: 1.7 μg L -1) were dominated by fluoranthene and pyrene with maximum concentrations of 3.2 and 2.9 μg L -1, respectively.
“PAH concentrations in this study (mean of ∑PAH16: 1.7 µg L -1 ) were dominated by fluoranthene and pyrene with maximum concentrations of 3.2 and 2.9 µg L -1 , respectively.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor zinc and copper, dissolved fractions were 48% and 33%, respectively, resulting in maximum dissolved concentrations of 3000 μg L -1 and 150 μg L -1.
“For zinc and copper, dissolved fractions were 48% and 33%, respectively, resulting in maximum dissolved concentrations of 3000 µg L -1 and 150 µg L -1”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWe detected 54 organic micropollutants in the Panke river, including all substances which were found in >30% of stormwater runoff samples in Table 3.
“We detected 54 organic micropollutants also in the Panke river, including all substances which were found in >30% of stormwater runoff samples in Table 3.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningDEHP was detected at significantly lower concentrations than in the US by Pitt et al. and in France by Zgheib et al.
“The phthalate DEHP was detected at significantly lower concentrations than in the US by Pitt et al. (2004), as well as in France by Zgheib et al. [7].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Zgheib et al. [7] Zgheib, 2012, Priority pollutants in urban stormwater: Part 1—Case of separate storm sewers, Water Res. source
May combine two claims.
Findingown dataTraffic estimates found the highest traffic volumes in STR, followed by COM, the two inner city land uses OLD and NEW, down to lowest traffic volumes in OFH.
“Since smaller roads are not covered by the official traffic counts we did traffic estimates by following official counting protocols and found the highest traffic volumes in STR, followed by COM (due to deliveries and store costumers), the two inner city land uses OLD and NEW down to lowest traffic volumes in OFH.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTraffic counts showed even higher correlations for phthalates DINP + DIDP (R2 of 0.89) and DEHP (R2 of 0.98).
“Surprisingly, traffic counts showed even higher correlations for phthalates DINP + DIDP (R 2 of 0.89) and DEHP (R 2 of 0.98).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMaximum detected dissolved copper EMC of 150 μg L -1 (dissolved fraction: 33%) is more than 60-fold higher than the EQS of 2.4 μg L -1 proposed by the German EPA, but only occurs for a few hours.
“For instance, maximum detected dissolved copper EMC of 150 µg L -1 (dissolved fraction: 33%) is more than 60-fold higher than the EQS of 2.4 µg L -1 proposed by the German EPA, but only occurs for a few hours.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] Wenzel, A., Schlich, K., Shemotyuk, L., and Nendza, M. (2021, May 07). Revision der Umweltqualitätsnormen der Bundes-Oberflächengewässerverordnung nach Ende der Übergangsfrist für Richtlinie 2006/11/EG und Fortschreibung der europäischen Umweltqualitätsziele für prioritäre Stoffe, Texte 47/2015, Available online: https://www.umweltbundesamt.de/publikationen/revision-der-umweltqualitaetsnormen-der-bundes.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
FindingcitationAll PAH compounds reported in the French study by Zgheib et al. are well within the 95%-bounds of this study, with the exception of naphthalene, which was found at 20-fold higher concentrations in Parisian stormwater.
“All PAH compounds reported in the French study by Zgheib et al.[7] are well within the 95%-bounds of this study, with the exception of naphthalene, which was found at 20-fold higher concentrations in Parisian stormwater.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Zgheib, 2012, Priority pollutants in urban stormwater: Part 1—Case of separate storm sewers, Water Res. source
May combine two claims.
Findingown dataStormwater runoff does not contain single substances but a mix of more than 50 micropollutants with a total concentration of about 24 μg L -1 for organic micropollutants and about 1.3 mg L -1 for heavy metals.
“Another important aspect is the fact that stormwater runoff does not contain single substances but a mix of >50 micropollutants with a total concentration of ~24 µg L -1 for organic micropollutants and of ~1.3 mg L -1 for heavy metals.”
- Also stated in: § • · plain
“The average stormwater runoff contained a mix of >50 micropollutants with a total concentration in the order of 10 µg L -1 for organic micropollutants and of 1 mg L -1 for heavy metals.”
Quote in the paperNot a substantial claim- Also stated in: § • · plain
May combine two claims.
Findingown dataPAH concentrations in this study (mean of ∑PAH16: 1.7 μg L-1) were dominated by fluoranthene and pyrene with maximum concentrations of 3.2 and 2.9 μg L-1, respectively.
“PAH concentrations in this study (mean of ∑PAH16: 1.7 µg L -1 ) were dominated by fluoranthene and pyrene with maximum concentrations of 3.2 and 2.9 µg L -1 , respectively.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data54 organic micropollutants were detected in the Panke river, including all substances found in more than 30% of stormwater runoff samples in Table 3.
“We detected 54 organic micropollutants also in the Panke river, including all substances which were found in >30% of stormwater runoff samples in Table 3.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe benzo[a]pyrene/benzo[ghi]perylene ratio resulted in average values of 1.6 for STR and 1.2-1.4 for all other land-use types.
“(e.g., benzo[a]pyrene/benzo[ghi]perylene-ratio to distinguish between traffic (>0.6) and non-traffic (<0.6) emissions resulted in average values of 1.6 for STR and 1.2-1.4 for all other land-use types).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFluoranthene maximum concentrations in stormwater runoff of 3.2 μg L -1 are more than 25-fold higher than the MAC EQS (0.12 μg L -1) as set in the European Water Framework Directive and more than 500-fold higher compared to the annual average (AA) EQS (0.0063 μg L -1).
“An example for organic micropollutants is fluoranthene with maximum concentrations in stormwater runoff of 3.2 µg L -1 , which is more than 25-fold higher than the maximum allowable concentration (MAC) EQS (0.12 µg L -1 ) as set in the European Water Framework Directive and more than 500-fold higher compared to the annual average (AA) EQS (0.0063 µg L -1 ).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningOrganophosphates TCPP and TBEP were highest in the commercial area, followed by the other densely built-up land use types NEW and OLD.
“As a consequence, they were highest in the commercial area, potentially due to more extensive application of insulation materials to the larger industrial buildings, ware houses and large retail stores, followed by the other densely built-up land use types NEW and OLD.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataOn average, about one third of all rain events at each monitoring site was sampled and analyzed in the laboratory (24-41%).
“On average, about one third of all rain events at each monitoring site was sampled and analyzed in the laboratory (24-41%).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSeveral authors recommend a strategy of variable sampling volume methods 2 or 3 with mixing of the composite sample in the laboratory.
“Several authors recommend a strategy of variable sampling volume-methods 2 or 3 [30]-with the mixing of the composite sample in the laboratory [29,33,34].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [30] Ort, 2006, Sampling for representative micropollutant loads in sewer systems, Water Sci. Tech. source
- cites [29] Rossi, L. (1998). Qualité des eaux de ruissellement urbaines, EPFL. source
- cites [33] Becouze, C. (2010). Caractérisation et estimation des flux de substances prioritaires dans les rejets urbains par temps de pluie sur deux bassins versants expérimentaux, INSA.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [34] Dembélé, A. (2010). MES, DCO et polluants prioritaires des rejets urbains de temps de plui: Mesure et modélisation des flux événementiels, INSA. source
May combine two claims.
PremisecitationSandoval et al. estimated the uncertainties of different sampling strategies and confirmed that method 3 delivers the most accurate estimation of EMC, independently of the selected sampling interval or the size of the catchment.
“The results confirm that method 3 delivers the most accurate estimation of EMC, independently of the selected sampling interval or the size of the catchment.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sandoval et al. [35] Sandoval, 2018, Performance and uncertainties of TSS stormwater sampling strategies from online time series, Water Sci. Tech. source
May combine two claims.
PremisecitationThe systematic error increases when the sampling frequency decreases but remains below 20% for time intervals of less than 30 min.
“The systematic error increases when the sampling frequency decreases but remains below 20% for time intervals of less than 30 min.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Shelley, P.E. (1977). Sampling of Water and Wastwater.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataSampled events cover a wide range of rain events with local event frequencies between 20 and 1 yr-1, although no extreme rainfall (>20 mm) occurred during the sampling period.
“Sampled events cover a wide range of rain events with local event frequencies between 20 and 1 yr -1 , although no extreme rainfall (>20 mm) occurred during the sampling period.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe error of method 1 is systematic and cannot be reduced by increasing the sampling frequency.
“The error is systematic and cannot be reduced by increasing the sampling frequency [31].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] Rossi, 2011, Samplinghelper a web-based tool to assess the reliability of sampling strategies in sewers and receiving waters, Water Sci. Tech. source
May combine two claims.
PremisecitationConcentrations were found to be higher in stormwater catchments with high traffic volumes for PAH by Gasperi et al. and for some heavy metals and standard parameters by Järveläinen et al.
“Indeed, concentrations were found to be higher in stormwater catchments with high traffic volumes for PAH by Gasperi et al. [6] and for some heavy metals and standard parameters by Järveläinen et al. [27].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Gasperi et al. [6] Gasperi, 2014, Micropollutants in urban stormwater: Occurrence, concentrations, and atmospheric contributions for a wide range of contaminants in three French catchments, Environ. Sci. Pollut. Res. source
- cites Järveläinen et al. [27]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBiocides from building materials can lead to higher loads than agricultural pesticide runoff for a Swiss peri-urban catchment.
“Wittmer et al. [24] who showed that biocides from building materials can lead to higher loads than agricultural pesticide runoff for a Swiss peri-urban catchment.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wittmer et al. [24] Wittmer, 2010, Significance of urban and agricultural land use for biocide and pesticide dynamics in surface waters, Water Res. source
May combine two claims.
PremisecitationShelley demonstrated that major errors can be expected by estimating EMCs using method 1 and that the other methods provide similar accuracy, with a trend to underestimate the real EMC.
“Shelley [32] demonstrated that major errors can be expected by estimating EMCs using method 1 and that the other methods provide similar accuracy, with a trend to underestimate the real EMC.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shelley [32] Shelley, P.E. (1977). Sampling of Water and Wastwater.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Study design and conductown dataBlank results of tap water cycled five times through one of the applied automatic samplers indicated no particular contamination from sampling devices and/or sample pre-treatment procedure for most pollutants monitored; a low contamination by phthalates was detected but values were below or at limit of quantification and far less than levels found in stormwater.
“Blank results of tap water cycled five times through one of the applied automatic samplers indicated no particular contamination from sampling devices and/or sample pre-treatment procedure for most pollutants monitored.A low contamination by phthalates could, however, be detected, but values were below or at limit of quantification and far less than levels found in stormwater.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataDuring 13 months of monitoring, a total of 143 volume-proportional composite samples were taken at all monitoring sites.
“During 13 months of monitoring (May 2014 to June 2015), a total of 143 volume-proportional composite samples were taken at all monitoring sites (OLD: 36, NEW: 31, OFH: 18, COM: 40, STR: 18), covering a total rain depth of 135”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningIsoproturon is mostly found in OFH, probably from use in private gardens by individual home owners.
“Consequently, isoproturon is mostly found in OFH, probably from use in private gardens by individual home owners.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenWhether toxicity thresholds are violated in receiving rivers depends on the mixing ratio between storm water runoff and stream flow.
“However, whether toxicity thresholds are violated in receiving rivers depends on the mixing ratio between storm water runoff and stream flow.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningDifferent regional use patterns could possibly explain the observation of higher isoproturon and AMPA concentrations.
“Again, different regional use patterns could possibly explain the observation.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataConcentrations of most compounds in river samples taken during storm events are about one order of magnitude higher than at dry weather conditions, strongly suggesting that stormwater runoff is responsible for concentration peaks of these and many other substances during storm events.
“As shown in Figure 5, concentrations of most compounds in river samples taken during storm events are about one order of magnitude higher compared to concentrations at dry weather conditions, strongly suggesting that stormwater runoff is responsible for concentration peaks of these and many of the other substances during storm events.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningSince both mecoprop and diuron are primarily used for algal/plant control on building materials, the difference may be due to regional use patterns of French and German roof/paint suppliers.
“Since both biocides are primarily used for algal/plant control on building materials, the difference may be due to regional use patterns of French and German roof/paint suppliers.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataResults show that stormwater runoff from very different urban land uses contains a large mix of substances, some of which are known to have detrimental effects on aquatic organisms.
“However, results show that stormwater runoff from very different urban land uses contains a large mix of substances, some of which are known to have detrimental effects on aquatic organisms.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningComparing stormwater concentrations directly to EQS neglects dilution with river water as well as other point sources of pollution.
“Comparing the stormwater concentrations directly to EQS neglects dilution with river water as well as other (point) sources of pollution.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningFor a number of organic micropollutants in Table 4, such as TBP, 2-Phenylphenol or 4-tert-butylphenol, dominant sources are unclear and concentration patterns cannot be explained by known land-use differences.
“However, for a number of organic micropollutants in Table 4, such as TBP, 2-Phenylphenol or 4-tert-butylphenol, (dominant) sources are unclear and therefore concentration patterns cannot be explained by known land-use differences”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataPNEC values from literature indicated high relevance from nicotine because PNEC values were exceeded both in stormwater runoff and in surface water of the Panke river during rain events.
“but high relevance from nicotine as PNEC values were exceeded both in stormwater runoff as well as in surface water of the Panke river during rain events.”
Quote in the paperSubstantial claim- Rests on an assumption: PNEC values from the literature are valid for assessing the potential relevance of TBEP and nicotine to aquatic organisms.
May combine two claims.
InterpretationreasoningSewage-based tracer substances and benzotriazoles are present in the river due to minor upstream inlets of WWTP effluents and are consequently diluted by storm water.
“Exceptions are sewage-based tracer substances and benzotriazoles, which are present in the river due to minor upstream inlets of WWTP effluents and consequently are diluted by storm water.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
For most micropollutants, the availability of measurement data in receiving rivers during stormwater influence is not sufficient to evaluate their ecotoxicological relevance.
“However, for most micropollutants the availability of measurement data in receiving rivers during stormwater influence is not sufficient to evaluate their ecotoxicological relevance.”
The paper relies on this without support.
Concentration data of trace organics in stormwater runoff are generally sparse and for many substances there are no datasets for catchments of different land uses.
“Moreover, concentration data of trace organics in stormwater runoff are generally sparse and for many substances there are no datasets for catchments of different land uses.”
The authors state this as an assumption.
Differences in the selected land-use types (e.g., traffic density, roof area and type, building materials) will result in different concentration patterns of micropollutants in stormwater runoff.
“The selection was based on the assumption that differences in the selected land-use types (e.g., traffic density, roof area and type, building materials) will result in different concentration patterns of micropollutants in stormwater runoff.”
The paper relies on this without support.
The five selected urban land-use types represent the main city structure types of Berlin and other large European cities.
“Based on geographic information system (GIS) data of the Berlin Senate, five different urban land-use types were defined that represent the main city structure types of Berlin and other large European cities as summarized in Table 1.”
The paper relies on this without support.
PNEC values from the literature are valid for assessing the potential relevance of TBEP and nicotine to aquatic organisms.
“PNEC (predicted no effect concentration) values from literature could be compared, which indicated potentially low relevance for aquatic organisms from TBEP but high relevance from nicotine as PNEC values were exceeded both in stormwater runoff as well as in surface water of the Panke river during rain events.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Wicke et al. (2021) showed commercial areas having the highest concentrations of flame-retardants.
“Opposite results were found by Wicke et al. (2021), who showed commercial areas having the highest concentrations of flame-retardants.”
From Review of trace organic chemicals in urban stormwater: Concentrations, distributions, risks, and drivers (2024) · cites this paper as Wicke et al. (2021)
Section 3.2.2 (page unavailable) places the flame retardant TBEP among the highest concentrations in both commercial (COM) and new residential (NEW) catchments. It also reports that another flame retardant, TBP, was highest in NEW, so the claim overgeneralizes the finding to flame retardants as a group. (LLM, conf=0.85)
Experimental — accuracy not yet measuredCommercial areas contribute to elevated concentrations of flame retardants.
“Wicke et al. (2021) found that commercial areas contribute to elevated concentrations of flame retardants.”
From Review of trace organic chemicals in urban stormwater: Concentrations, distributions, risks, and drivers (2024) · cites this paper as Wicke et al., 2021
Tris(2-butoxyethyl) phosphate (TBEP) had the highest concentration (40 μg/L) among organophosphate flame retardants, as reported in Wicke et al. (2021).
“There are also many organophosphate flame retardants frequently detected in stormwater runoff (Burant et al., 2018;Fairbairn et al., 2018), with the highest concentration detected for Tris(2-butoxyethyl) phosphate (TBEP) -a maximum concentration of 40 μg/L reported in Wicke et al. (2021).”
From Review of trace organic chemicals in urban stormwater: Concentrations, distributions, risks, and drivers (2024) · cites this paper as Wicke et al., 2021
Traffic volumes correlate with concentrations of PAHs and phthalates.
“Specifically, for TrOCs, traffic volumes were often found to correlate with concentrations of PAHs (Gasperi et al., 2014;Gunawardena et al., 2018;Wicke et al., 2021), and phthalates (Wicke et al., 2021).”
From Review of trace organic chemicals in urban stormwater: Concentrations, distributions, risks, and drivers (2024) · cites this paper as Wicke et al., 2021
Mecoprop and diuron exhibited higher concentrations in residential blocks with 4-6 storeys old buildings, classified as high-density in this study.
“Mecoprop (commonly used in roof materials) and diuron (typical additives to exterior paints) exhibited higher concentrations in residential blocks with 4-6 storeys old buildings (classified as high-density in this study)”
From Review of trace organic chemicals in urban stormwater: Concentrations, distributions, risks, and drivers (2024) · cites this paper as Wicke et al. (2021)
Wicke et al. (2021) found the highest isoproturon concentration in catchments dominated by one-family homes (low-density residential), likely from use in private gardens.
“Wicke et al. (2021) found the highest isoproturon concentration in catchments dominated by one-family homes (e.g., low-density residential), which was likely from the use in private gardens.”
From Review of trace organic chemicals in urban stormwater: Concentrations, distributions, risks, and drivers (2024) · cites this paper as Wicke et al. (2021)
Glyphosate/AMPA appeared in most land uses at similar concentrations.
“glyphosate/AMPA (used to control weed at sidewalks) appeared in most land uses at similar concentrations.”
From Review of trace organic chemicals in urban stormwater: Concentrations, distributions, risks, and drivers (2024) · cites this paper as Wicke et al. (2021)
The paper's findings generally have good agreement with monitoring studies, with the source of contaminant usage being a plausible predictor for their presence in stormwater.
“Our findings generally have good agreement with the monitoring studies, with the source of contaminant usage being a plausible predictor for their presence in stormwater (Wicke et al., 2021).”
From Review of trace organic chemicals in urban stormwater: Concentrations, distributions, risks, and drivers (2024) · cites this paper as Wicke et al., 2021
Wicke et al. (2021) showed high correlations between phthalates including DEHP and traffic counts based on data from five different sites.
“the study done by Wicke et al. (2021) showed high correlations between phthalates (including DEHP) and traffic counts based on data from five different sites (versus 63 sites analyzed in this study, including 11 sites with transportation land use).”
From Review of trace organic chemicals in urban stormwater: Concentrations, distributions, risks, and drivers (2024) · cites this paper as Wicke et al. (2021)
Wicke et al. (2021) also found that densely built-up land use types, such as high-density residential, contributed to higher TBEP concentrations than low-density areas and road catchments.
“Their study, however, also found densely built-up land use types (e.g., high-density residential) contributed to higher TBEP concentrations than low-density areas and road catchments.”
From Review of trace organic chemicals in urban stormwater: Concentrations, distributions, risks, and drivers (2024) · cites this paper as Wicke et al. (2021)
These OPE values are similar to those reported previously in urban stormwater, including a prior study of grab samples collected from two sites in the Bay Area.
“These values are similar to those reported previously in urban stormwater, 3,[67][68][69][70] including a prior study of grab samples collected from two sites in the Bay Area.21”
From Storms mobilize organophosphate esters, bisphenols, PFASs, and vehicle-derived contaminants to San Francisco Bay watersheds (2024) · cites this paper as [69]
The Σ16 PAH concentration was within the range of EMCs values reported in the literature for urban roads and motorways.
“The Σ 16 PAH concentration was within the range of EMCs values reported in the literature for urban roads and motorways [20,22].”
From Micropollutants in Urban Runoff from Traffic Areas: Target and Non-Target Screening on Four Contrasted Sites (2022) · cites this paper as [20]
Wicke et al. [20] confirmed our results, finding TBT, MBT and DBT concentrations below 10 ng/L in their urban runoff samples.
“However, Wicke et al. [20] confirmed our results, as they found the TBT, MBT and DBT concentrations to be inferior to 10 ng/L in their urban runoff samples.”
From Micropollutants in Urban Runoff from Traffic Areas: Target and Non-Target Screening on Four Contrasted Sites (2022) · cites this paper as [20]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Reported per-catchment sample count exceeds samples collected
MinorThe statistical-analysis section gives a per-catchment sample-count range reaching 41, but the sampling section reports no more than 40 collected samples at any catchment.
“As concentration values for each catchment type (n = 14-41 depending on parameter) were not normally distributed”
“a total of 143 volume-proportional composite samples were taken at all monitoring sites (OLD: 36, NEW: 31, OFH: 18, COM: 40, STR: 18)”
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BackgroundMixtures of Chemical Pollutants at European Legislation Safety Concentrations: How Safe Are They?
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Sampling for representative micropollutant loads in sewer systems
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Storm-event-transport of urban-use pesticides to streams likely impairs invertebrate assemblages
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Stormwater runoff quality from copper roofing, Auckland, New Zealand
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Flagged first, then by citations
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A decade of monitoring micropollutants in urban wet-weather flows: What did we learn?
Mutzner, L., Furrer, V., Castebrunet, H., Dittmer, U., Fuchs, S., Gernjak, W., Gromaire, M.-C., Matzinger, A., Mikkelsen, P. S., Selbig, W. R., et al. (2022) · Water Research · doi:10.1016/j.watres.2022.118968 · Cited by 79 · see citing works
“Micropollutant concentrations vary across urban areas (Gasperi et al., 2014; Mutzner et al., 2020; Rippy et al., 2017; Wicke et al., 2021).”
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“Specifically, for TrOCs, traffic volumes were often found to correlate with concentrations of PAHs (Gasperi et al., 2014; Gunawardena et al., 2018; Wicke et al., 2021), and phthalates (Wicke et al., 2021).”
BackgroundResultInfluentialGasperi, J., Le Roux, J., Deshayes, S., Ayrault, S., Bordier, L., Boudahmane, L., Budzinski, H., Caupos, E., Caubrière, N., Flanagan, K., et al. (2022) · Water · doi:10.3390/w14030394 · Cited by 48 · see citing works
“7 μg/L for street runoff) but indicated that the patterns were dominated by diisodecyl + diisononyl phthalates (DIDP + DINP), a technical mixture of phthalates replacing DEHP with an average concentration of 17 μg/L for street runoff [20].”
BackgroundMethodResultInfluentialPollutants in urban runoff: Scientific evidence on toxicity and impacts on freshwater ecosystems
Cojoc, L.-R., Castro-Català, N. D., de Guzmán, I., González, J., Arroita, M., Besolí-Mestres, N., Cadena-Aizaga, M. I., Freixa, A., Gutiérrez, O., Larrañaga, A., et al. (2024) · Chemosphere · doi:10.1016/j.chemosphere.2024.143806 · Cited by 51 · see citing works
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Up-to-date monitoring data of wastewater and stormwater quality in Germany
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“Stationary plantstake up toxicmetals from thesoil and enrich thewater table, this water isused forcultivating terrestrial and aqueous food as well (Zheng et al. , 2023; Chaturvedi et al. , 2021; Wicke et al. , 2021).”
Urban stormwater capture for water supply: look out for persistent, mobile and toxic substances
Mutzner, L., Zhang, K., Luthy, R. G., Arp, H. P. H., & Spahr, S. (2023) · Environmental Science: Water Research & Technology · doi:10.1039/d3ew00160a · Cited by 27 · see citing works
Emissions from Building Materials—A Threat to the Environment?
Wicke, D., Tatis-Muvdi, R., Rouault, P., Baar, P. Z.-V., Dünnbier, U., Rohr, M., & Burkhardt, M. (2022) · Water · doi:10.3390/w14030303 · Cited by 22 · see citing works
“Volume-proportional composite samples were prepared based on runoff measurements (for details see [11]) to determine the event mean concentrations (EMC).”
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Goukeh, M. N., & Alamdari, N. (2024) · Journal of Environmental Engineering · doi:10.1061/joeedu.eeeng-7478 · Cited by 22 · see citing works
Monitoring organic micropollutants in stormwater runoff with the method of fingerprinting
Langeveld, J., Post, J., Makris, K. F., Palsma, B., Kuiper, M. W., & Liefting, E. (2023) · Water Research · doi:10.1016/j.watres.2023.119883 · Cited by 21 · see citing works
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Effect of Land Use on Stream Water Quality and Biological Conditions in Multi-Scale Watersheds
Lee, J.-W., Park, S.-R., & Lee, S. (2023) · Water · doi:10.3390/w15244210 · Cited by 19 · see citing works
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Gkotsis, G., Nika, M., Athanasopoulou, A. I., Vasilatos, K., Alygizakis, N. A., Boschert, M., Osterauer, R., Höpker, K.-A., & Τhomaidis, Ν. S. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2022.137092 · Cited by 16 · see citing works
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“[58] surveyed micropollutants in stormwater runoff of Berlin (Germany) and its dependence on land-use types.”
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Contaminants in Urban Stormwater: Barcelona case study
Teixidó, M., Schmidlin, D., Xu, J., Scheiber, L., Chesa, M. J., & Vázquez‐Suñé, E. (2023) · Advances in geosciences · doi:10.5194/adgeo-59-69-2023 · Cited by 13 · see citing works
Application of Mesoporous Silicas for Adsorption of Organic and Inorganic Pollutants from Rainwater
Marszałek, A., Puszczało, E., Szymańska, K., Sroka, M., Kudlek, E., & Generowicz, A. (2024) · Materials · doi:10.3390/ma17122917 · Cited by 12 · see citing works
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“Some studies report a wide range of (micro-)pollutants detected in wet-weather discharges, 5,18,27 – 29 but the number of articles is still limited compared to the availability of studies on effluents.”
BackgroundEffect-directed analysis of endocrine and neurotoxic effects in stormwater depending discharges
Baetz, N., Cunha, J. R., Itzel, F., Schmidt, T. C., & Tuerk, J. (2024) · Water Research · doi:10.1016/j.watres.2024.122169 · Cited by 11 · see citing works
Occurrence of specific pollutants in a mixture of sewage and rainwater from an urbanized area
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“They are primary and secondary in nature, and exhibit synergistic effects and durability 15,16 .”
BackgroundBardajee, G., Mahmoodian, H., Mahmoudi, N., Felegari, N., & Rouhi, M. (2025) · Journal of Environmental Chemical Engineering · doi:10.1016/j.jece.2025.117473 · Cited by 10 · see citing works
Unseen streams tracing emerging contaminants from stormwater to surface water: A brief review
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Pollutant characteristics and size distribution of trace elements during stormwater runoff events
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Dynamization of Urban Runoff Pollution and Quantity
Hornig, S., Bauerfeld, K., & Beier, M. (2022) · Water · doi:10.3390/w14030418 · Cited by 9 · see citing works
“Table 4 presents results obtained for routine water quality parameters from this study and data adapted from other databases [6,16,20,21].”
MethodIn-depth characterization of sediment contamination in stormwater infiltration basins
Tedoldi, D., Couvidat, J., Gautier, M., Zhan, Q., Winiarski, T., Kouyi, G. L., Delolme, C., & Chatain, V. (2023) · Blue-Green Systems · doi:10.2166/bgs.2023.039 · Cited by 8 · see citing works
Airport Runoff Water: State-of-the-Art and Future Perspectives
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Cigarette butts enable toxigenic cyanobacteria growth by inhibiting their lethal fungal infections
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“It found significant differences in the concentrations of organic micropollutants and heavy metals among residential, commercial, and industrial areas (Wicke et al., 2021).”
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Dietary exposure of stormwater contaminants in biofilm to two freshwater macroinvertebrates
Izma, G., Ijzerman, M. M., McIsaac, D., Raby, M., Prosser, R. S., & Rooney, R. C. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.177390 · Cited by 8 · see citing works
The impact of blue-green infrastructure on trace contaminants: A catchment-wide assessment
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“2020; Wicke et al., 2021).”
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“However, even the highest concentrations measured here were in the lower range of the values reported by Wicke et al. (2021).”
InfluentialResearch green roof in Leipzig, Germany
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Biocidal substances in the Seine River: contribution from urban sources in the Paris megacity
Paijens, C., Tedoldi, D., Frère, B., et al. (2022) · Environmental Science Water Research & Technology · doi:10.1039/d2ew00253a · Cited by 6 · see citing works
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“across an event [13–16] or one composite sample representative of the entire discharge period [4,5].”
BackgroundOvercoming Matrix Effects in Non-Target Screening: A Novel Strategy for Urban Runoff Analysis
Karlsson, T. M., & Christensen, J. H. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.5c01303 · Cited by 5 · see citing works
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Discharge and fate of biocide residuals to ephemeral stormwater retention pond sediments
Linke, F., Olsson, O., Schnarr, L., et al. (2022) · Hydrology research · doi:10.2166/nh.2022.075 · Cited by 5 · see citing works
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Carbon coated Fe0.65Ni0.30Mn0.05 magnetically separable adsorbent for phenanthrene removal
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Jackson, M. E., Fender, C. L., Harper, S. L., & García-Jaramillo, M. (2025) · Science of the Total Environment · doi:10.1016/j.scitotenv.2025.181172 · Cited by 3 · see citing works
Effect-Based Assessment of Runoff Water Streams in Stormwater Manufactured Barriers
Celma, A., Mandava, G., Wiberg, K., et al. (2025) · ACS ES&T Water · doi:10.1021/acsestwater.5c00256 · Cited by 3 · see citing works
Wide-scope screening of micropollutants in stormwater ponds within Swedish urban catchments
Celma, A., Eriksson, V., Golovko, O., & Wiberg, K. (2025) · Environment International · doi:10.1016/j.envint.2025.109691 · Cited by 3 · see citing works
Impacts of urban runoff pollutants on biofilm communities
Besolí-Mestres, N., Freixa, A., Cojoc, L.-R., Cadena-Aizaga, M. I., Petrovic, M., & Sabater, S. (2025) · Environmental Chemistry and Ecotoxicology · doi:10.1016/j.enceco.2025.12.018 · Cited by 2 · see citing works
How reliable are estimates of trace contaminants in rivers based on monthly grab samples?
Weber, N., Lutterbach, J., Hufnagl, C., Saracevic, E., Kittlaus, S., Kozlica, K., Ščančar, R. M., Krampe, J., Zessner, M., & Zoboli, O. (2026) · Environmental Sciences Europe · doi:10.1186/s12302-025-01314-3 · Cited by 2 · see citing works
“Additionally, short-term inputs driven by precipitation events through erosion, as well as via combined sewer overflows and separate sewer discharges, play a significant role [25, 34, 53].”
Waldner, L., Furrer, V., Lechevallier, P., Máire, F., Singer, H., & Mutzner, L. (2025) · PLoS ONE · doi:10.1371/journal.pone.0333173 · Cited by 1 · see citing works
Leaching Assessment of Non-Metal Roofs – Comparison of Field Studies and Laboratory Leaching Tests
Udvary, J., Schwerd, R., & Helmreich, B. (2026) · Journal of Environmental Management · doi:10.1016/j.jenvman.2026.129094 · Cited by 1 · see citing works
Hu, Y., Jiang, Q., Xie, B., Zhang, Z., Zhou, J., Zhou, T., & Wang, H. (2026) · International Journal of Environmental Health Research · doi:10.1080/09603123.2026.2694041 · Cited by 1 · see citing works
Gründächer im urbanen Raum und ihre Ökosystemleistungen
Moeller, L., Knapp, S., Schmauck, S., et al. (2023) · Springer eBooks · doi:10.1007/978-3-662-66916-7_11 · Cited by 1 · see citing works
Adsorption Study for the Removal of Cadmium and Lead from Synthetic Storm Water Using Fired Clay
Yunis, K., & Jaeel, A. J. (2024) · Wasit Journal of Engineering Sciences · doi:10.31185/ejuow.vol12.iss3.468 · Cited by 1 · see citing works
“…(such as benzothiazoles from tire abrasion), and combustion processes (such as polycyclic aromatic hydrocarbons (PAH), Deposition in the atmosphere (such as the herbicide terbuthylazine) or removal of trash (such as nicotine) from butts on cigarettes are a source of pollution of stormwater [5].”
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The Geochemical Signature of Sediments from Urban Stormwater Infiltration BasinsPreprint
Chatain, V., Couvidat, J., Tedoldi, D., Gautier, M., Zhan, Q., Winiarski, T., Kouyi, G. L., & Delolme, C. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4196844
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Influence of Population Density and Land Use on Microplastics in Urban Stormwater Runoff
dos Santos, V. M. C., Alves, R. S., de Alcantara, G. C. L., Neto, V. S., Martínez, M. F. O., Ayala, A. P., Giarrizzo, T., & Viana, M. B. (2026) · Water Air & Soil Pollution · doi:10.1007/s11270-026-09814-5
“The abundance and characteristics of these particles can be influenced by both anthropogenic and environmental factors, particularly population density and land-use patterns (Ross et al., 2023; Wicke et al., 2021).”
- Authors
- Wicke, D., Matzinger, A., Sonnenberg, H., Caradot, N., Schubert, R.-L., Dick, R., Heinzmann, B., Dünnbier, U., von Seggern, D., & Rouault, P.
- Affiliations
- Berlin Centre of Competence for Water (DE)
- Berliner Wasserbetriebe (Germany) (DE)
- Senate Department for the Environment, Transport and Climate Protection, Brückenstraße 6, 10179 Berlin, Germany
- Corresponding author
- Wicke, Daniel
- Venue
- Water
- Publisher
- MDPI AG
- Published
- 2021-05-07
- Volume
- 13
- Issue
- 9
- Pages
- 1312
- ISSN
- 2073-4441 (ISSN-L)
- OpenAlex
- W3159793050
- Semantic Scholar
- 79dee4081f29f82d89cfbbcc8bb90c8e08f31331
- Cited by
- 78
- References
- 38
- Citations by year
- 2026: 8 · 2025: 20 · 2024: 21 · 2023: 16 · 2022: 11 · 2021: 2
- FWCI
- 3.99
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Water (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Berlin Environmental Relief Programme II (11409 UEPII/2)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Stormwater Management Solutions
- Physical Sciences › Environmental Science › Pollution › Pharmaceutical and Antibiotic Environmental Impacts
- Physical Sciences › Environmental Science › Water Science and Technology › Water Quality and Pollution Assessment
- Keywords
- micropollutants, urban stormwater runoff, land use, heavy metals, organic micropollutants, flame retardants, phthalates, diisodecyl phthalate, polycyclic aromatic hydrocarbons, pesticides, biocides, traffic-related pollutants, urban rivers, environmental quality standards, Berlin
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