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.

本数据集为构建莱茵-默兹三角洲克兰彭安登艾瑟尔（Krimpen aan den IJssel）地区盐水入侵长短期记忆网络（LSTM）预测模型所用的原始与预处理后数据。原始水文数据文件名均采用大写字母，命名格式为VARIABLE_LOCATION_FIRSTYEAR_LASTYEAR_IDENTIFIER.csv。所用变量包括：氯化物浓度（CONCTTE）、流量（Q）、水位（WATHTE）。所用监测点位如下：克兰彭安登艾瑟尔（KRIMPADIJSL）、莱克港（LEKHVRTOVER）、哈赫斯泰因（HAGSBVN）、洛比特（LOBH）、蒂尔（TIELWL）、多德雷赫特（DORDT）、胡克范荷兰（HOEKVHLD）、弗拉尔丁根（VLAARDGN）。所有数据均可从https://waterinfo.rws.nl/#!/nav/expert/ 下载，可通过ddlpy软件高效获取该数据集，其开源仓库地址为https://github.com/openearth/ddlpy。文件etmgeg_344.txt包含荷兰皇家气象研究所（KNMI，https://www.knmi.nl/nederland-nu/klimatologie/daggegevens）在鹿特丹测得的气象数据。Features.csv文件包含荷兰国家公共工程与水管理总局（Rijkswaterstaat）提供的水文数据每日最小值、均值与最大值，以及KNMI提供的风数据。