Castrillo María, Aguilar Fernando, García-Díaz Daniel
Institute of Physics of Cantabria (IFCA-(CSIC-UC)), Avda. Los Castros s/n, 39005 Santander, Cantabria, Spain.
Data Brief. 2024 Aug 14;57:110839. doi: 10.1016/j.dib.2024.110839. eCollection 2024 Dec.
The dataset addressed in this article contains parameters about El Val reservoir (province of Zaragoza, Spain). It includes physicochemical variables, the water level, the stored water volume, its meteorological conditions and the flow rate of its effluent, the Queiles River, a few metres downstream of the dam. The El Val reservoir stores water from the Val River, but it also receives water from the Queiles River through a pipeline and from several ravines. The dam releases on the Queiles River, which is a tributary of the Ebro River (the second one in Spain in length and discharge rate). A multiparametric probe (aquaDam, Adasa Systems), hanging from a structure located in the dam, every 6 h makes a vertical profile taking the measurements at each metre of depth from the surface to approximately 573 m above sea level (m.a.s.l.), in other words, between 2 and 3 m above the bottom outlet. This probe collects data of water temperature, pH, ORP, conductivity, dissolved oxygen, turbidity and chlorophyll concentration. Meteorological data are collected in the nearest weather station, located in the municipality of Los Fayos which is about 500 m downstream of the dam. These include daily accumulated precipitation, daily maximum and average solar irradiance, daily maximum, minimum and average air temperature and daily average wind speed. The water level and volume of stored water and the flow rate of the Queiles River are collected in the El Val monitoring station and the Queiles River gauge station respectively, and are also provided on a daily basis. These data are useful to feed deterministic, data driven or hybrid hydrological models with different purposes, like the identification of the impact of meteorological conditions on the physicochemical properties of the reservoir as well as the assessment of different management strategies in the reservoir. This is a data article that additionally supports the work published in Ecological Informatics [1] where the use of common and readily available open data is promoted through its use to feed data driven models, in particular to infer the depth of the thermocline in reservoirs that are periodically or permanently thermally stratified. In that article a dataset derived from the one presented in this article is used.
本文所涉及的数据集包含有关埃尔瓦尔水库（西班牙萨拉戈萨省）的参数。它包括物理化学变量、水位、蓄水量、气象条件以及大坝下游几米处其泄流河流奎莱斯河的流量。埃尔瓦尔水库储存来自瓦尔河的水，但它也通过管道从奎莱斯河以及几条峡谷接收水。大坝向奎莱斯河放水，奎莱斯河是埃布罗河的一条支流（西班牙第二长且流量第二大的河流）。一个多参数探头（aquaDam，阿达萨系统公司）悬挂在大坝中的一个结构上，每6小时进行一次垂直剖面测量，从水面到海拔约573米（即底部出水口上方2至3米之间）每隔一米深度进行测量。该探头收集水温、pH值、氧化还原电位、电导率、溶解氧、浊度和叶绿素浓度的数据。气象数据在距离大坝下游约500米的洛斯法约斯市最近的气象站收集。这些数据包括日累计降水量、日最大和平均太阳辐照度、日最高、最低和平均气温以及日平均风速。水位、蓄水量和奎莱斯河的流量分别在埃尔瓦尔监测站和奎莱斯河测量站收集，并且也是每天提供。这些数据对于为不同目的的确定性、数据驱动或混合水文模型提供数据很有用，例如确定气象条件对水库物理化学性质的影响以及评估水库中的不同管理策略。这是一篇数据文章，额外支持了发表在《生态信息学》[1]上的工作，该文章通过将常用且易于获取的开放数据用于为数据驱动模型提供数据，特别是用于推断周期性或永久性热分层水库的温跃层深度，来推广其使用。在那篇文章中使用了源自本文所呈现数据集的一个数据集。
