Dynamic evolution of water conducting fracture zones and roof water hazard early warning based on 3d spatial clustering.

ABSTRACT: Roof water inrush, induced by upward-developing water-conducting fracture zones (WCFZ) into aquifers, poses significant risks in coal mining. Conventional monitoring methods struggle with accurately capturing the complex 3D spatial structure and dynamic evolution of WCFZs. To address this, we propose an integrated early-warning framework combining microseismic spatial clustering and dynamic multi-indicator risk assessment. Our improved volume-corrected DBSCAN algorithm incorporates the spatial energy influence radius (apparent volume) of microseismic events, substantially enhancing dominant cluster identification. This improvement enables dynamic segmentation of WCFZ development into slow-growth, rapid-growth, and stable stages. We developed a Water-Risk Prediction Index (WRPI) model using

SUBMITTER: Cui M 

PROVIDER: S-EPMC12511448 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature