| Issue |
E3S Web Conf.
Volume 520, 2024
4th International Conference on Environment Resources and Energy Engineering (ICEREE 2024)
|
|
|---|---|---|
| Article Number | 01015 | |
| Number of page(s) | 6 | |
| Section | Multidimensional Research and Practice on Water Resources and Water Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202452001015 | |
| Published online | 03 May 2024 | |
Stochastic simulation and uncertainty analysis of karst conduit network using pyKasso
1 Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, 611756 Chengdu, China
2 SWJTU-Leeds Joint School, Southwest Jiaotong University, 611756 Chengdu, China
* Corresponding author’s email: taohuang70@126.com
Owing to the intrinsic heterogeneity and anisotropy of karst systems, traditional hydrological exploration methods face significant challenges when investigating karst conduit networks. This study employs pyKasso for the stochastic simulation of karst conduit networks in Panzhou City, focusing on uncertainty analysis through local sensitivity analysis and Monte Carlo methods. The simulation process incorporates geological, topographic, and fracture data to create a realistic representation of the karst network. We found that the spatial configuration and characteristics of the karst network are significantly influenced by various input parameters such as fracture parameters, inlets, outlets, and cost ratios. We highlight the minimal influence of fracture densities and the substantial impact of the count of inlets and outlets on crucial network metrics. The results demonstrate the critical role of parameter sensitivity and variability in modeling the intricate karst systems, providing valuable insights for hydrogeological studies and the management of karst water.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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