Results 61 to 70 of about 1,143 (179)
Deep Underground Science and Engineering, Volume 5, Issue 2, Page 331-349, June 2026.A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan +6 more
wiley +1 more source
Energy Science &Engineering, Volume 14, Issue 6, Page 2941-2960, June 2026.Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen +4 more
wiley +1 more source
Water and Artisanal and Small‐Scale Gold Mining: A Review of the Literature
WIREs Water, Volume 13, Issue 3, May/June 2026.This paper reviews the relationships between artisanal and small‐scale gold mining (ASGM) and water. We show the variegated impacts ASGM has on water and, thus, socio‐ecological systems and health. We conclude by identifying gaps in the scholarship.
Heidi Hausermann +3 more
wiley +1 more source
Distribution Law of Spontaneous Combustion Hazard of Coal in Lower Goaf of Close Distance Coal Seams
Meikuang Anquan, 2020 In view of the objective conditions of high sulfur content and local enrichment, large amount of residual coal and closing to upper goaf of coal seams in the 8104 fully mechanized coal mining face of Xinwei Coal Mine, the distribution law of coal ...
JIAO Gengxin, BAI Chengwu, QI Xuyao, QIAO Shi, CHEN Liangzhou, LI Xuewen, JI Youcang, CHEN Liang, SONG Runquan
doaj +1 more source
Design of Initial Mining Pressure Relief Scheme for Large‐Size Mining Face: A Case Study
Engineering Reports, Volume 8, Issue 4, April 2026.The numerical simulation analysis method is used to compare the actual mining face (315 m) with the designed mining face (200 m). The results show that the large mining height working face has larger abutment pressure peak and stress concentration factor than the general mining height working face.
Qinghu Wei +3 more
wiley +1 more source
Energy Science &Engineering, Volume 14, Issue 4, Page 1808-1821, April 2026.Aiming at the difficulties in accurately calculating the movement and deformation of small‐sized, deep‐buried dams with a significant height‐to‐depth ratio in deep fully mechanized caving mining, this study proposes to separate the analysis of surface and dam deformation.
Zhang Feng +7 more
wiley +1 more source
Review of automation technology for fully mechanized coal face of thin seam
Gong-kuang zidonghua, 2013 The paper analyzed development status of automation technology for fully mechanized coal face of thin seam at home and abroad, introduced structure of automation system of fully mechanized coal face of thin seam, and automation control technology for ...
YU Yue-sen +4 more
doaj
Geo-Resources Environment and Engineering, 2017 Aiming at characteristics of the soft coal roadway engineering geology and deformation, the exposure research of the soft coal seam, theoretical analysis, numerical calculation and program design were carried out. First of all, according to the disclosure, soft coal seam engineering characteristics and geological conditions in Xinxing coal mine were ...
Genshui Wu +3 more
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Energy Science &Engineering, Volume 14, Issue 4, Page 1851-1863, April 2026.With the advancement of coal mining technology driving the development of working faces toward increased mining heights and extended lengths, the enlargement of face dimensions has led to expanded overlying strata failure zones and intensified ground pressure manifestations. Consequently, traditional methods for determining hydraulic support resistance
Chen Gong +5 more
wiley +1 more source
Gas concentration prediction model for fully mechanized coal mining face
Gong-kuang zidonghua, 2018 In view of problems of gas concentration prediction method based on least squares support vector machine (LS-SVM) such as easy to fall into local optimal solution, low search efficiency and easy to occur premature convergence during parameter optimization process, a gas concentration prediction model based on ACO-LS-SVM was proposed.
LI Huan +3 more
openaire +1 more source