Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.5
2.7
Journals
Applied Sciences
Special Issues
Geospatial Data of Energy Resources
share announcement

Geospatial Data of Energy Resources

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 3602

Special Issue Editor

Dr. Jangwon Suh

E-Mail Website
Guest Editor
Department of Energy Resources and Chemical Engineering, Kangwon National University, Samcheok 25913, Republic of Korea
Interests: GIS for energy resources; mine hazards; mine reclamation; geospatial predictive mapping; geostatistics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The distribution of energy resources is related to geospatial characteristics such as geographic location and surrounding topography. Renewable energy resources such as solar energy and wind power vary in values depending on their location and altitude. Moreover, geospatial data analysis is required to solve problems such as interpolation, potential estimation, and optimal location analysis of renewable energy. It is also used when designing an optimal pipeline network for oil and gas transportation or when evaluating risk in mining areas. Thus, geospatial data play a vital role in energy resource research by providing the means of looking at the world and tools for solving complex spatial problems. We can see that many global organizations and national data centers collect, analyze, visualize, and manage various geospatial data for energy resources research. This Special Issue (SI) aims to encourage researchers to address the geospatial and numeric data of energy resources research. This SI will cover a broad spectrum of original research contributions and reviews on all areas of energy resources, including (but not limited to):

  • Geospatial data in renewable energy;
  • Geospatial data in mining;
  • Geospatial data in oil and gas;
  • Geospatial data in utilities.

Dr. Jangwon Suh
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • GIS in renewable energy
  • GIS in mining
  • GIS in oil and gas
  • Energy resources geospatial data
  • Geospatial data analysis
  • Geospatial predictive mapping
  • Digital mapping of energy resources

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Review

23 pages, 5266 KiB  
Review
An Overview of GIS-Based Assessment and Mapping of Mining-Induced Subsidence
by Jangwon Suh
Appl. Sci. 2020, 10(21), 7845; https://doi.org/10.3390/app10217845 - 5 Nov 2020
Cited by 8 | Viewed by 3111
Abstract
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. [...] Read more.
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. Full article
(This article belongs to the Special Issue Geospatial Data of Energy Resources)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop