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  "author": "[\"Furrer, Viviane\", \"Mutzner, Lena\", \"Ort, 
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  "author": "[\"Furrer, Viviane\", \"Mutzner, Lena\", \"Ort, 
            
3
Christoph\", \"Singer, Heinz\"]",
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Christoph\", \"Singer, Heinz\"]",
            
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  "author_email": null,
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  "author_email": null,
            
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      "key": "citation",
            
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      "value": "Furrer, V., Mutzner, L., Ort, C., & Singer, H. 
            
10
(2023). Data for: Micropollutant concentration fluctuations in 
            
11
combined sewer overflows require short sampling intervals (Version 
            
12
1.0) [Data set]. Eawag: Swiss Federal Institute of Aquatic Science and 
            
13
Technology. https://doi.org/10.25678/0009A2"
            
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    },
            
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      "key": "citation_publication",
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      "value": "Furrer, V., Mutzner, L., Singer, H., & Ort, C. (2023). 
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      "value": "Furrer, V., Mutzner, L., Singer, H., & Ort, C. (2023). 
            
10
Micropollutant concentration fluctuations in combined sewer overflows 
18
Micropollutant concentration fluctuations in combined sewer overflows 
            
11
require short sampling intervals. Water Research X, 100202. 
19
require short sampling intervals. Water Research X, 100202. 
            
12
https://doi.org/10.1016/j.wroa.2023.100202\n"
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https://doi.org/10.1016/j.wroa.2023.100202\n"
            
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    {
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    {
            
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      "key": "substances_generic",
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      "key": "substances_generic",
            
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      "value": "[\"micropollutants\", \"pharmaceuticals\", 
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      "value": "[\"micropollutants\", \"pharmaceuticals\", 
            
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      "value": "[\"sewage system\"]"
            
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    {
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    {
            
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      "key": "tags_string",
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      "key": "tags_string",
            
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      "value": "combined sewer overflow,sampling,dynamics,polar 
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      "value": "combined sewer overflow,sampling,dynamics,polar 
            
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organic pollutants,high temporal resolution measurements"
139
organic pollutants,high temporal resolution measurements"
            
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    {
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    {
            
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      "key": "taxa",
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      "key": "taxa",
            
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      "value": "[]"
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      "value": "[]"
            
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      "value": "[]"
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      "value": "[]"
            
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    {
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    {
            
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      "key": "timerange",
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      "key": "timerange",
            
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      "value": "[\"2022-04\", \"2022-08\"]"
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      "value": "[\"2022-04\", \"2022-08\"]"
            
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    },
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    },
            
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    {
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    {
            
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      "key": "variables",
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      "key": "variables",
            
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      "value": "[\"discharge\", \"concentration\", \"waterlevel\"]"
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      "value": "[\"discharge\", \"concentration\", \"waterlevel\"]"
            
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    }
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    }
            
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  ],
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  "groups": [],
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  "id": "a8d7f88f-9541-4b08-af3b-ce3193a2c4ff",
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  "id": "a8d7f88f-9541-4b08-af3b-ce3193a2c4ff",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": null,
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  "license_id": null,
            
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  "license_title": null,
162
  "license_title": null,
            
155
  "maintainer": "Furrer, Viviane",
163
  "maintainer": "Furrer, Viviane",
            
156
  "maintainer_email": "Ort, Christoph <Christoph.Ort@eawag.ch>",
164
  "maintainer_email": "Ort, Christoph <Christoph.Ort@eawag.ch>",
            
157
  "metadata_created": "2023-09-18T12:04:17.057895",
165
  "metadata_created": "2023-09-18T12:04:17.057895",
            
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  "metadata_modified": "2023-09-18T12:04:17.057903",
166
  "metadata_modified": "2023-09-18T12:04:17.057903",
            
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  "name": 
167
  "name": 
            
160
t-concentration-fluctuations-in-cso-require-short-sampling-intervals",
168
t-concentration-fluctuations-in-cso-require-short-sampling-intervals",
            
161
  "notes": "Combined sewer overflows (CSOs) are an important pathway 
169
  "notes": "Combined sewer overflows (CSOs) are an important pathway 
            
162
of organic micropollutants from urban areas to open water bodies. 
170
of organic micropollutants from urban areas to open water bodies. 
            
163
Understanding the temporal dynamics of these micropollutants during 
171
Understanding the temporal dynamics of these micropollutants during 
            
164
overflow events is crucial for applying appropriate sampling methods 
172
overflow events is crucial for applying appropriate sampling methods 
            
165
and implementing effective management strategies. Yet, little is known 
173
and implementing effective management strategies. Yet, little is known 
            
166
about the dynamics of micropollutants in CSOs, because most studies 
174
about the dynamics of micropollutants in CSOs, because most studies 
            
167
report concentrations from single grab samples or event mean 
175
report concentrations from single grab samples or event mean 
            
168
concentrations (EMCs). With unique high temporal resolution 
176
concentrations (EMCs). With unique high temporal resolution 
            
169
measurements (3 minutes), we show the real dynamics of polar organic 
177
measurements (3 minutes), we show the real dynamics of polar organic 
            
170
micropollutants in CSOs of one small (2,700 people: P) and one large 
178
micropollutants in CSOs of one small (2,700 people: P) and one large 
            
171
(159,000 P) urban catchment, for two micropollutant categories: (i) 33 
179
(159,000 P) urban catchment, for two micropollutant categories: (i) 33 
            
172
micropollutants in municipal wastewater and (ii) 13 micropollutants 
180
micropollutants in municipal wastewater and (ii) 13 micropollutants 
            
173
from urban surface runoff. The concentration dynamics depend on the 
181
from urban surface runoff. The concentration dynamics depend on the 
            
174
substance source and the catchment size. Indoor substances such as 
182
substance source and the catchment size. Indoor substances such as 
            
175
pharmaceuticals show high temporal dynamics with changes of 1\u20132 
183
pharmaceuticals show high temporal dynamics with changes of 1\u20132 
            
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orders of magnitude within 9 minutes in the CSO of the small 
184
orders of magnitude within 9 minutes in the CSO of the small 
            
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catchment. In contrast, outdoor substances at the small catchment and 
185
catchment. In contrast, outdoor substances at the small catchment and 
            
178
all substances at the large catchment display considerably lower 
186
all substances at the large catchment display considerably lower 
            
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variation. We tested various time-proportional sampling strategies to 
187
variation. We tested various time-proportional sampling strategies to 
            
180
assess the range of error when estimating EMCs. We recommend an 
188
assess the range of error when estimating EMCs. We recommend an 
            
181
interval of 3 minutes to capture the dynamics of indoor substances in 
189
interval of 3 minutes to capture the dynamics of indoor substances in 
            
182
CSOs from small catchments. The results highlight that both future 
190
CSOs from small catchments. The results highlight that both future 
            
183
monitoring campaigns and the planning and management of urban 
191
monitoring campaigns and the planning and management of urban 
            
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wet-weather treatment systems will benefit from high temporal sampling 
192
wet-weather treatment systems will benefit from high temporal sampling 
            
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resolutions, not only to understand dynamics but also to minimize 
193
resolutions, not only to understand dynamics but also to minimize 
            
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errors of estimated EMCs. ",
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combined sewer overflows require short sampling intervals. Eawag: 
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  "title": "Data for: Micropollutant concentration fluctuations in 
316
  "title": "Data for: Micropollutant concentration fluctuations in 
            
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combined sewer overflows require short sampling intervals",
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combined sewer overflows require short sampling intervals",
            
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