five

Hydrochemical analysis thermal water Balmatt, Belgium

收藏
DataCite Commons2025-12-10 更新2025-04-15 收录
下载链接:
https://dataservices.gfz.de/panmetaworks/showshort.php?id=94af005a-f095-11ec-9531-ca1f3ed77ce8
下载链接
链接失效反馈
官方服务:
资源简介:
The main objective of the work package 2 of the REFLECT project is to characterise relevant fluid properties and their reactions for saline fluids (type C). One of the specific goals was to collect fluid samples from several saline fluids from geothermal sites across Europe, determine their properties, and thus contribute to the Fluid Atlas (WP3). Additionally, the REFLECT team will compare those field data with data from lab experiments performed at near natural conditions. Samples of type C fluids were taken from several sites in Germany, Austria, Belgium and the Netherlands. The samples were analysed for major and minor ions, dissolved gases and isotopes. One sample of thermal water was taken from the production well at Balmatt, Belgium on May 17th 2021 and sent to Hydroisotop for analysis of main cations and anions and heavy metals. It can be seen that the nitrate content is remarkably high. However, all meaurements had to be conducted from the same sample bottle, which had been acidified, presumably with HNO3 which can be expected to be the source of the high nitrate content. The dataset contains analysis results associated with the research project REFLECT. It is a comma separated file (csv) containing the following columns: Location,Country,Description,Laboratory (Lab.),Lab. No.,Sampling date,Sodium (mg/l),Potassium (mg/l),Calcium (mg/l),Magnesium (mg/l),Chloride (mg/l),Sulphate (mg/l),Nitrate (mg/l),Antimony (mg/l),Barium (mg/l),Iodide (mg/l),Lithium (mg/l),Silicon (mg/l),Strontium (mg/l),Aluminium (mg/l),Arsenic (mg/l),Lead (mg/l),Iron total (mg/l),Copper (mg/l),Manganese total (mg/l),Nickel (mg/l),Uranium (mg/l),Zinc (mg/l) Methods are described in the accompanying deliverable Fluid data of geothermal sites (type C).
提供机构:
GFZ Data Services
创建时间:
2023-02-09
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作