five

Stochastic Modelling Approach to identify Uncertainties of Karst Conduit Networks in Carbonate Aquifers - Data

收藏
DataCite Commons2026-03-18 更新2024-07-13 收录
下载链接:
https://depositonce.tu-berlin.de/handle/11303/17242
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset contains (1) The realizations for the five hundred 3D conduit networks (.vtk output files) generated using the SKS algorithm (Borghi et al., 2012), which form the basis for the Karst Probability Map. (2) An overview and further explanations of the parameters assigned to the Fast-Marching-Algorithm in the SKS. (3) Climate data (Precipitation, Tmin & Tmax) from 1990 to 2018 over the recharge area of the Western Mountain Aquifer (Israel & Palestinian Territories). Information on each station can be found in the file "stations". It includes data for research paper: "Banusch, S., Somogyvari, M., Sauter, M., Renard, P., Engelhardt, I. (2022). Stochastic Modelling Approach to identify Uncertainties of Karst Conduit Networks in Carbonate Aquifers" published in Water Resources Research
提供机构:
Technische Universität Berlin
创建时间:
2022-07-20
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