Development of a method for weight determination of disaster-causing factors and quantitative risk assessment for tailings dams based on causal coupling relationships-Reference-Cited by-同舟云学术

Development of a method for weight determination of disaster-causing factors and quantitative risk assessment for tailings dams based on causal coupling relationships

Published:2022-10-07 Issue:2 Volume:37 Page:749-775
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Hao Tengteng,Zheng Xin,Wang Huiyu,Xu Kaili,Yu Yanwu

Funder

National Key Research and Development Program of China

Key Laboratory fund of the Ministry of Public Security of the People’s Republic of China

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00477-022-02316-w.pdf

Reference64 articles.

1. Ahmadi O, Mortazavi SB, Mahabadi HA, Hosseinpouri M (2020) Development of a dynamic quantitative risk assessment methodology using fuzzy DEMATEL-BN and leading indicators. Process Saf Environ Prot 142:15–44. https://doi.org/10.1016/j.psep.2020.04.038

2. Ak MF, Gul M (2019) AHP–TOPSIS integration extended with Pythagorean fuzzy sets for information security risk analysis. Complex Intell Syst 5:113–126. https://doi.org/10.1007/s40747-018-0087-7

3. Arancibia GV, Bustamante OP, Vigneau GH, Allende-Cid H, Fuentelaba GS, Nieto VA (2021) Estimation of moisture content in thickened tailings dams: machine learning techniques applied to remote sensing images. IEEE Access 9:16988–16998

4. Cao Y, Bian Y (2021) Improving the ecological environmental performance to achieve carbon neutrality: the application of DPSIR-Improved matter-element extension cloud model. J Environ Manag 293:112887. https://doi.org/10.1016/j.jenvman.2021

5. Che D, Liang A, Li X, Ma B (2018) Remote sensing assessment of safety risk of iron tailings pond based on runoff coefficient. Sensors 18(12):4373. https://doi.org/10.3390/s18124373

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