Skip to main content

Advertisement

Log in

Potential risk assessment of the large hydropower station dumpsite using numerical simulation: a case study in Shanxi Province, China

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

Engineering construction (such as water conservancy project, road engineering, and so on) in mountain areas bring mass of waste soil and rock fragment, whose stability is critical to the ecological environment and the safe operation of engineering facilities. The biggest waste dump of the Pumped Storage Power Station Project in Hunyuan County, Shanxi Province, China, with a volume of 7 million m³ and a maximum height of 240 m, is to be located at the origin of Mahua Valley. To assess the potential risk of the waste dump, reconnaissance, geomorphological analysis was undertaken to provide basic data. The potential failure area and volume was determined utilizing Flac3D depending on strength reduction method. The kinematic process and the potential hazards after failure was presented by Particle flow code. The results showed that the factor of safety of the waste dump under heavy precipitation was 1.15, less than the stability requirement of slope in hydropower station, and the potential failure volume was about 4.8 million m³. The scenario-based debris mass run-out paths indicated that, considering the worst cases scenario, the ground ventilation platform and ventilation tunnel exit on the right bank of the gully might be destroyed rapidly by landslide debris. Besides, the debris flow would accumulate at the gully mouth, and even run into the lower reservoir. Thus, more attention should be taken to increase the stability of the waste dump. These results are useful information for decision support and future hazard assessment of such engineering project.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

Download references

Acknowledgements

This study is supported by the National Key R & D Projects (NO. 2019YFC1509704), National Natural Science Foundation of China (NO. U1704243), Key scientific research project of colleges and universities in Henan Province (23A410002), The Project of High-level talents in North China University of Water Resource and Electric Power (NO.202010013), Postgraduate Education Reform and Quality Improvement Project of Henan Province(YJS2022JD02, YJS2022AL006).

Funding

This study is supported by the National Key R & D Projects (NO. 2019YFC1509704), National Natural Science Foundation of China (NO. U1704243), Key scientific research project of colleges and universities in Henan Province(23A410002), The Project of High-level talents in North China University of Water Resource and Electric Power (NO.202010013), Postgraduate Education Reform and Quality Improvement Project of Henan Province(YJS2022JD02、YJS2022AL006).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dong-dong Li.

Ethics declarations

Conflict of interest

No conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors for publication. I would like to declare on behalf of my co-authors that the work described was original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part. All the authors listed have approved the manuscript that is enclosed.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Dd., Liu, Hd., Wang, Zf. et al. Potential risk assessment of the large hydropower station dumpsite using numerical simulation: a case study in Shanxi Province, China. Nat Hazards (2024). https://doi.org/10.1007/s11069-024-06505-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11069-024-06505-4

Keywords

Navigation