Yang Wen

Mr. Yang Wen


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2026 in Earth Science-Journal of China University of Geosciences
Verified
Journal Article
Closed access
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YWYang Wen
Yang Wen
OJOu Jian
Ou Jian
LZLiu Zhou
Liu Zhou
YQYu Qixuan
Yu Qixuan
HYHuang Ying
Huang Ying
CYCen Yi
Cen Yi
《地球科学》(ISSN 1000-2383;CN42-1874/P) (原刊名《地球科学——中国地质大学学报》ISSN 1000-2383;CN42-1233/P),创刊于1957年,是由教育部主管、中国地质大学主办的综合性地学学术理论期刊,月刊,2015年改名为《地球科学》,她以反映中国地质大学教学与科研最新的、高水平的基础地质、应用地质、资源与环境地质及地学工程技术研究成果为主要任务。

17 May 2026 in Water
Verified
Journal Article
Open access
PDF file
RLRong Liu
Rong Liu
GYGaofeng Yang
Gaofeng Yang
YHYuqi Huang
Yuqi Huang
YWYang Wen
Yang Wen
JOJian Ou
Jian Ou
YHYing Huang
Ying Huang
Hidden disaster-causing factor investigation is a fundamental task for safety production in mines. Water hazards in karst metal underground mines are characterized by complex disaster-forming mechanisms, strong suddenness, and high risk, while traditional assessment methods are prone to expert subjective bias and cannot meet the demand for precise prevention and control. This study proposes an improved fuzzy comprehensive evaluation model by integrating the analytic hierarchy process (AHP) and normal distribution-based expert confidence weighting. A three-level assessment index system consisting of 3 first-level indicators and 11 s-level indicators is established for karst metal mine water hazard risk. The normal distribution function is used to quantify expert confidence weights so as to reduce subjective deviation. A three-level fuzzy comprehensive evaluation is performed to achieve quantitative risk grading, and the model robustness is verified through sensitivity analysis. Furthermore, three-dimensional geological modeling and seepage–stress coupling numerical simulation are conducted using COMSOL 6.0 software to validate the reliability of assessment results. The Mao’erling Gold Mine in Hunan Province is taken as a case study. The evaluation yields a comprehensive membership vector of (0.103, 0.130, 0.184, 0.351, 0.232), which is strongly consistent with numerical simulation results and field water inrush records. The results demonstrate that the improved model features strong objectivity and favorable robustness, and can provide a scientific basis for water hazard investigation, risk assessment, and prevention engineering in karst metal underground mines.