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Review

Analysis on the Spatial-Temporal Distribution Patterns of Major Mine Debris Flows in China

1
Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China
2
Yunnan International Technology Transfer Center for Mineral Resources Development and Solid Waste Resource Utilization, Kunming 650093, China
3
School of Energy and Mining, China University of Mining and Technology Beijing, Beijing 100083, China
4
College of Geology and Mining Engineering, Xinjiang University, Urumqi 830046, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(8), 4744; https://doi.org/10.3390/app13084744
Submission received: 15 February 2023 / Revised: 18 March 2023 / Accepted: 21 March 2023 / Published: 10 April 2023

Abstract

In order to provide more accurate data support for the prevention and control of geological disasters in mines, the article counts the major mine debris flow accidents in China from 1954 to 2019; studies the distribution of debris flow disasters in each province; reveals the intra-annual and inter-annual variation patterns of the number of mine debris flow disasters; analyzes the distribution of mine debris flows under different geoenvironmental backgrounds; and combines AHP hierarchical analysis with a comprehensive regional evaluation of the likelihood of mine debris flows. The results of the study show that from 1954 to 2019, the number of major mine debris flow disasters first increased and then decreased. The proportion of mine debris flow disasters to the total number of debris flow disasters also showed a trend of first increasing and then decreasing, with the southwestern region being the area of high occurrence of mine debris flow, and the geoenvironmental areas of middle and low hills and middle and high mountains being the topographic areas of high occurrence of mine debris flow. More than 90% of the major mine debris flow disasters occurred from May to September, with the largest number of disasters occurring in July. A comprehensive evaluation of the regional nature of mine debris flow distribution based on the regional evaluation score is derived.
Keywords: mine debris flow; spatial-temporal distribution; variation patterns; hierarchical analysis; comprehensive evaluation mine debris flow; spatial-temporal distribution; variation patterns; hierarchical analysis; comprehensive evaluation

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MDPI and ACS Style

Ye, T.; Wang, G.; Wang, C.; Chen, H.; Xin, Y. Analysis on the Spatial-Temporal Distribution Patterns of Major Mine Debris Flows in China. Appl. Sci. 2023, 13, 4744. https://doi.org/10.3390/app13084744

AMA Style

Ye T, Wang G, Wang C, Chen H, Xin Y. Analysis on the Spatial-Temporal Distribution Patterns of Major Mine Debris Flows in China. Applied Sciences. 2023; 13(8):4744. https://doi.org/10.3390/app13084744

Chicago/Turabian Style

Ye, Tianhao, Guangjin Wang, Chunlai Wang, Hui Chen, and Yingming Xin. 2023. "Analysis on the Spatial-Temporal Distribution Patterns of Major Mine Debris Flows in China" Applied Sciences 13, no. 8: 4744. https://doi.org/10.3390/app13084744

APA Style

Ye, T., Wang, G., Wang, C., Chen, H., & Xin, Y. (2023). Analysis on the Spatial-Temporal Distribution Patterns of Major Mine Debris Flows in China. Applied Sciences, 13(8), 4744. https://doi.org/10.3390/app13084744

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