Data underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model

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.

本数据集用于构建莱茵-默兹三角洲克赖彭阿登艾瑟尔（Krimpen aan den IJssel）区域的盐度入侵长短期记忆网络（Long Short-Term Memory, LSTM）模型，包含所需的原始与预处理数据。原始水文数据的文件名均采用全大写格式，命名规则为VARIABLE_LOCATION_FIRSTYEAR_LASTYEAR_IDENTIFIER.csv。所用变量包括：氯化物浓度（CONCTTE）、流量（Q）、水位（WATHTE）。所用监测站点包括：克赖彭阿登艾瑟尔（KRIMPADIJSL）、莱克港（LEKHVRTOVER）、哈赫斯泰因（HAGSBVN）、洛比茨（LOBH）、蒂尔（TIELWL）、多德雷赫特（DORDT）、胡克范荷兰（HOEKVHLD）、弗拉丁根（VLAARDGN）。所有上述数据均可从https://waterinfo.rws.nl/#!/nav/expert/ 下载，且可通过ddlpy软件高效获取，该软件的开源仓库地址为https://github.com/openearth/ddlpy。文件etmgeg_344.txt包含荷兰皇家气象研究所（Koninklijk Nederlands Meteorologisch Instituut, KNMI）在鹿特丹测得的气象数据，相关数据公开页面为https://www.knmi.nl/nederland-nu/klimatologie/daggegevens。Features.csv包含来自荷兰国家水利工程与水资源管理局（Rijkswaterstaat）的水文数据每日最小值、均值与最大值，以及荷兰皇家气象研究所（KNMI）提供的风数据。