Citation:

PANGAEA.984513

Name: Water chemistry of Lagrangian samplings of Inland Elbe 2024 (MOSES Hydrological Extremes)
Published: 2025-09-09
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Greenhouse gases; MOSES; nutrients; river

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Published: 2025-09-09 • DOI registered: 2025-10-08

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Abstract:

Within the framework of MOSES (Modular Observation Solutions for Earth Systems) and ElbeXtreme, we performed three longitudinal sampling campaigns in the Elbe catchment in 2024. The campaigns covered the German freshwater part, the tidal Elbe river, and the German Bight. Here we present the results of the freshwater river where the sampling was conducted in a Langrangian way according to flow velocity. Physico-chemical and biological parameters were measured along the Elbe from bridges between Bad Schandau (km 12, Czech-German border) and Lauenburg (km 570, close to Hamburg). A particular scientific focus was on (1) nutrients and eutrophication, (2) composition of dissolved organic matter measured by high-resolution mass spectrometry, (3) greenhouse gas measurements, and (4) micropollutants. This was done during a winter flood event in January, a summer drought in July, and a second smaller flood in September 2024.

Keyword(s):

Greenhouse gases; MOSES; nutrients; river

Project(s):

DAM mareXtreme - ElbeXtreme: Monitoring and modelling of extreme events in the Elbe estuary and the German Bight (ElbeXtreme)

Modular Observation Solutions for Earth Systems (MOSES)

Research Mission of the German Marine Research Alliance (DAM): Paths to improved risk management in the area of marine extreme events and natural hazards (mareXtreme)

Funding:

Federal Ministry of Research, Technology and Space (BMFTR), grant/award no. 03F0954E : DAM mareXtreme - ElbeXtreme, UFZ

Coverage:

Median Latitude: 52.055208 * Median Longitude: 12.567407 * South-bound Latitude: 50.922112 * West-bound Longitude: 10.561073 * North-bound Latitude: 53.366497 * East-bound Longitude: 18.658829

Date/Time Start: 2023-12-28T08:15:00 * Date/Time End: 2024-09-26T07:35:00

Event(s):

2024ELBE-1_el1200 (Bad Schandau) * Latitude: 50.922112 * Longitude: 14.135750 * Date/Time: 2023-12-28T08:15:00 * Location: Elbe * Campaign: (MOSES_2024_Elbe-NorthSea1, Elbe flood) * Basis: Sampling on land * Method/Device: Multiple investigations (MULT)

2024ELBE-1_el5450 (Dresden) * Latitude: 51.057208 * Longitude: 13.754443 * Date/Time: 2023-12-28T12:10:00 * Location: Elbe * Campaign: (MOSES_2024_Elbe-NorthSea1, Elbe flood) * Basis: Sampling on land * Method/Device: Multiple investigations (MULT)

2024ELBE-1_el10700 (Riesa) * Latitude: 51.310640 * Longitude: 13.295469 * Date/Time: 2023-12-29T09:25:00 * Location: Elbe * Campaign: (MOSES_2024_Elbe-NorthSea1, Elbe flood) * Basis: Sampling on land * Method/Device: Multiple investigations (MULT)

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	Event label	Event
2	DATE/TIME	Date/Time		Kamjunke, Norbert		Geocode
3	Area/locality	Area		Kamjunke, Norbert
4	Distance	Distance	km	Kamjunke, Norbert		Elbe river kilometer from origin
5	LATITUDE	Latitude		Kamjunke, Norbert		Geocode
6	LONGITUDE	Longitude		Kamjunke, Norbert		Geocode
7	Temperature, water	Temp	°C	Kamjunke, Norbert	Multiparameter probe, YSI Xylem Inc., EXO2
8	Oxygen saturation	O2 sat	%	Kamjunke, Norbert	Multiparameter probe, YSI Xylem Inc., EXO2
9	Oxygen saturation	O2 sat	mg/l	Kamjunke, Norbert	Multiparameter probe, YSI Xylem Inc., EXO2
10	Conductivity, electrical	EC	µS/cm	Kamjunke, Norbert	Multiparameter probe, YSI Xylem Inc., EXO2
11	pH	pH		Kamjunke, Norbert	Multiparameter probe, YSI Xylem Inc., EXO2
12	Turbidity (Nephelometric turbidity unit)	Turbidity	NTU	Kamjunke, Norbert	Multiparameter probe, YSI Xylem Inc., EXO2
13	Chlorophyll a	Chl a	µg/l	Kamjunke, Norbert	Multiparameter probe, YSI Xylem Inc., EXO2
14	Base capacity 8.2	Base cap 8.2	mmol/l	Kamjunke, Norbert
15	Base capacity 4.3	Base cap 4.3	mmol/l	Kamjunke, Norbert
16	Carbon, organic, dissolved	DOC	mg/l	Kamjunke, Norbert	InfraRed sensor detection according to DIN EN 1484:1997 DE
17	Carbon, organic, particulate	POC	mg/l	Kamjunke, Norbert	InfraRed sensor detection according to DIN EN 1484:1997 DE
18	Nitrogen in ammonium	N-[NH4]+	mg/l	Kamjunke, Norbert	Continuous Flow Analysis (CFA)
19	Phosphorus, total	TP	mg/l	Kamjunke, Norbert	Ammonium molybdate spectrometric method
20	Nitrogen in nitrite	N-[NO2]-	mg/l	Kamjunke, Norbert	Segmented flow analysis according to DIN EN ISO 13395:1996-12
21	Nitrogen in nitrate	N-[NO3]-	mg/l	Kamjunke, Norbert	Segmented flow analysis according to DIN EN ISO 13395:1996-12
22	Nitrogen, organic, particulate	PON	mg/l	Kamjunke, Norbert
23	Silicon	Si	mg/l	Kamjunke, Norbert	Segmented flow analysis according to DIN EN ISO 13395:1996-12
24	Phosphorus, reactive soluble	SRP	mg/l	Kamjunke, Norbert	Ammonium molybdate spectrometric method
25	Chlorophyll a	Chl a	µg/l	Kamjunke, Norbert	Pigments analysis by HPLC (UV and FLD) (HPLCO)
26	Arsenic, dissolved	As diss	µg/l	Kamjunke, Norbert
27	Arsenic, total	As tot	µg/l	Kamjunke, Norbert
28	Iron, dissolved	Fe diss	mg/l	Kamjunke, Norbert	Inductively coupled plasma-optical emission spectrometer, ICP-OES
29	Iron, total	Fe tot	mg/l	Kamjunke, Norbert	Inductively coupled plasma-optical emission spectrometer, ICP-OES
30	Mercury, total	Hg tot	µg/l	Kamjunke, Norbert
31	Manganese, dissolved	Mn diss	mg/l	Kamjunke, Norbert	Inductively coupled plasma-optical emission spectrometer, ICP-OES
32	Manganese, total	Mn tot	mg/l	Kamjunke, Norbert	Inductively coupled plasma-optical emission spectrometer, ICP-OES
33	Lead, dissolved	Pb diss	µg/l	Kamjunke, Norbert	Inductively coupled plasma-optical emission spectrometer, ICP-OES
34	Lead, total	Pb tot	µg/l	Kamjunke, Norbert	Inductively coupled plasma-optical emission spectrometer, ICP-OES
35	Carbon dioxide	CO2	µmol/l	Koschorreck, Matthias	Gas chromatograph (8610C, SRI Instruments, Torrance, USA)
36	Methane	CH4	µmol/l	Koschorreck, Matthias	Gas chromatograph (8610C, SRI Instruments, Torrance, USA)
37	Nitrous oxide	N2O	µmol/l	Koschorreck, Matthias	Gas chromatograph (8610C, SRI Instruments, Torrance, USA)

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Size:

1346 data points

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