Quantitative evaluation of structural complexity in Shengquan minefield based on improved local linear embedding algorithm
Author:
Affiliation:
1. College of Earth Sciences and Engineering, Shandong University of Science and Technology, Qingdao, China
2. Shandong Land Development Group Co., Ltd, Jinan, China
3. Huafeng Coal Mine of Xinwen Mining Group Co., Ltd, Taian, China
Abstract
Funder
Natural Science Foundation of Shandong Province
National Natural Science Foundation of China
Publisher
SAGE Publications
Subject
Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Link
http://journals.sagepub.com/doi/pdf/10.1177/01445987231157124
Reference19 articles.
1. The impact of structural complexity, fault segmentation, and reactivation on seismotectonics: Constraints from the upper crust of the 2016–2017 Central Italy seismic sequence area
2. Scaling relationships in intraplate fracture systems related to Red Sea rifting
3. Prediction of Water Inrush Areas Under an Unconsolidated, Confined Aquifer: The Application of Multi-information Superposition Based on GIS and AHP in the Qidong Coal Mine, China
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