Wullems, Bas; Brauer, Claudia; Baart, Fedor; Weerts, Albrecht (2023): Data underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21944249.v1

Version 3 - 2023-12-05 (latest) Version 2 - 2023-09-25

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Categories

• Land and Water Management
• Other Environmental Sciences
• Physical and Chemical Conditions of Water
• Other Earth Sciences
• Earth Sciences
• Environmental Sciences
• Environment

Keywords

Chloride Delta Discharge estuary forecasting Hydrology LSTM Machine learning Salt Intrusion Water level water management wind speed

Geolocation

Time coverage

2011-2020

Licence

CC0

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by Bas Wullems, Claudia Brauer, Fedor Baart , Albrecht Weerts

Raw and processed data used to build an LSTM model for salt intrusion at Krimpen aan den IJssel in the Rhine-Meuse delta.

Raw water data names are in all capitals and are formatted as VARIABLE_LOCATION_FIRSTYEAR_LASTYEAR_IDENTIFIER.csv

Variables used are:

chloride concentration (CONCTTE)

discharge (Q)

water level (WATHTE)

Locations used are:

Krimpen aan den IJssel (KRIMPADIJSL)

Lekhaven(LEKHVRTOVER)

Hagestein(HAGSBVN)

Lobith(LOBH)

Tiel(TIELWL)

Dordrecht(DORDT)

Hoek van Holland (HOEKVHLD)

Vlaardingen(VLAARDGN)

All these data can also be downloaded from https://waterinfo.rws.nl/#!/nav/expert/. This can be done efficiently with the ddlpy software: https://github.com/openearth/ddlpy.

The file etmgeg_344.txt contains meteorological data mesured in Rotterdam by KNMI (https://www.knmi.nl/nederland-nu/klimatologie/daggegevens)

Features.csv contains daily minimum, mean and maximum values of the water data from Rijkswaterstaat and the wind data from KNMI.

History

• 2023-09-08 first online, published, posted

Publisher

4TU.ResearchData

Format

csv and txt tables

Associated peer-reviewed publication

Predicting estuarine salt intrusion with an LSTM model

References

• https://www.knmi.nl/nederland-nu/klimatologie/daggegevens
• https://waterinfo.rws.nl/#!/nav/expert/

Derived from

• https://waterinfo.rws.nl/#!/nav/expert/

Funding

• NWO perspectief P18-32

Organizations

Wageningen University and Research, Hydrology and Quantitative Water Management Group
Deltares, Department of Operational Water Management & Early Warning, Unit of Inland Water Systems