An Overview of GIS-Based Assessment and Mapping of Mining-Induced Subsidence

This article reviews numerous published studies on geographic information system (GIS)-based assessment and mapping of mining-induced subsidence. The various types of mine subsidence maps were first classified into susceptibility, hazard, and risk maps according to the various types of the engineeri...

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Main Author: Jangwon Suh
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/21/7845
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author Jangwon Suh
author_facet Jangwon Suh
author_sort Jangwon Suh
collection DOAJ
description This article reviews numerous published studies on geographic information system (GIS)-based assessment and mapping of mining-induced subsidence. The various types of mine subsidence maps were first classified into susceptibility, hazard, and risk maps according to the various types of the engineering geology maps. Subsequently, the mapping studies were also reclassified into several groups according to the analytic methods used in the correlation derivation or elements of the risk of interest. Data uncertainty, analytic methods and techniques, and usability of the prediction map were considered in the discussion of the limitations and future perspectives of mining subsidence zonation studies. Because GIS can process geospatial data in relation to mining subsidence, the application and feasibility of exploiting GIS-assisted geospatial predictive mapping may be expanded further. GIS-based subsidence predictive maps are helpful for both engineers and for planners responsible for the design and implementation of risk mitigation and management strategies in mining areas.
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spelling doaj.art-df294497fb90499ca49abbda3313f6622023-11-20T19:53:01ZengMDPI AGApplied Sciences2076-34172020-11-011021784510.3390/app10217845An Overview of GIS-Based Assessment and Mapping of Mining-Induced SubsidenceJangwon Suh0Department of Energy and Mineral Resources Engineering, Kangwon National University, Samcheok 25913, KoreaThis article reviews numerous published studies on geographic information system (GIS)-based assessment and mapping of mining-induced subsidence. The various types of mine subsidence maps were first classified into susceptibility, hazard, and risk maps according to the various types of the engineering geology maps. Subsequently, the mapping studies were also reclassified into several groups according to the analytic methods used in the correlation derivation or elements of the risk of interest. Data uncertainty, analytic methods and techniques, and usability of the prediction map were considered in the discussion of the limitations and future perspectives of mining subsidence zonation studies. Because GIS can process geospatial data in relation to mining subsidence, the application and feasibility of exploiting GIS-assisted geospatial predictive mapping may be expanded further. GIS-based subsidence predictive maps are helpful for both engineers and for planners responsible for the design and implementation of risk mitigation and management strategies in mining areas.https://www.mdpi.com/2076-3417/10/21/7845mine subsidencemine hazardsmine reclamationGISgeospatial predictive mapping
spellingShingle Jangwon Suh
An Overview of GIS-Based Assessment and Mapping of Mining-Induced Subsidence
Applied Sciences
mine subsidence
mine hazards
mine reclamation
GIS
geospatial predictive mapping
title An Overview of GIS-Based Assessment and Mapping of Mining-Induced Subsidence
title_full An Overview of GIS-Based Assessment and Mapping of Mining-Induced Subsidence
title_fullStr An Overview of GIS-Based Assessment and Mapping of Mining-Induced Subsidence
title_full_unstemmed An Overview of GIS-Based Assessment and Mapping of Mining-Induced Subsidence
title_short An Overview of GIS-Based Assessment and Mapping of Mining-Induced Subsidence
title_sort overview of gis based assessment and mapping of mining induced subsidence
topic mine subsidence
mine hazards
mine reclamation
GIS
geospatial predictive mapping
url https://www.mdpi.com/2076-3417/10/21/7845
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