five

Permeabilities of the Ore Mountains.xlsx

收藏
DataCite Commons2020-09-02 更新2024-07-27 收录
下载链接:
https://figshare.com/articles/dataset/Permeabilities_of_the_Ore_Mountains_xlsx/4789261/1
下载链接
链接失效反馈
官方服务:
资源简介:
An outstanding legacy dataset has been compiled from underground excavations mostly prospected and mined by the former Soviet (-German) Stock Company Wismut describing the hydrology of faulted basement rocks in the Ore Mountains (SE Germany). It consists of more than 5000 detailed descriptions of groundwater inflows to about 660 km of tunnels and 57 km of drillings measured during or shortly after excavation. Inflow measurements (recorded between 1E-8 to 4E-2 m<sup>3</sup>/s) have been converted to fracture transmissivities using a simplified analytical solution. Discarding site specific effects, the median log transmissivity decreases from 1E-7 to 1E-10 m<sup>2</sup>/s within the studied depth interval of 0-2000 mbgs and the spacing of conductive fracture increases from 0.1 to 2500 m. This general trend is overprinted at three mining sites by a clear reversal of fracture transmissivity which correlates with contact metamorphic aureoles around Variscan granite intrusions (327-295 Ma). We hypothesize that this transmissivity increase is caused by processes accompanying granite intrusion and contact metamorphism. The thickness of these hydraulically active aureoles is greater in lower grade metamorphic schist than in higher grade metamorphic gneisses. Rock mass equivalent continuum conductivities have been estimated by arithmetic averaging of fracture and matrix transmissivities over 100 m intervals and have been converted to permeabilities. The median equivalent continuum permeability decreases with depth according to (k in m<sup>2</sup> and increasing depth z in km being positive). Matrix conductivity controls the bulk conductivity below about 1000 mbgs and is less sensitive to the occurrence of contact metamorphic aureoles.
提供机构:
figshare
创建时间:
2017-03-27
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