LAPSE:2019.0073
Published Article
LAPSE:2019.0073
A WebGIS Decision Support System for Management of Abandoned Mines
Ranka Stanković, Nikola Vulović, Nikola Lilić, Ivan Obradović, Radule Tošović, Milica Pešić-Georgiadis
January 7, 2019
This paper presents the development of a WebGIS application aimed at providing safe and reliable data needed for reclamation of abandoned mines in national parks and other protected areas in Vojvodina in compliance with existing legal regulations. The geodatabase model for this application has been developed using UML and the CASE tool Microsoft Visio featuring an interface with ArcGIS. The WebGIS application was developed using GeoServer, an open source tool in the Java programming language, with integrated PostgreSQL DB and the possibility of generating and publishing WMS, WFS and KML services. The WebGIS application is publicly available, based on an appropriate central database, which for the first time encompasses all available data on abandoned mines in Vojvodina, and as such may serve as a model for similar databases on the territory of the Republic of Serbia.
Keywords
abandoned mines, geodatabase, mine reclamation, WebGIS
Suggested Citation
Stanković R, Vulović N, Lilić N, Obradović I, Tošović R, Pešić-Georgiadis M. A WebGIS Decision Support System for Management of Abandoned Mines. (2019). LAPSE:2019.0073
Author Affiliations
Stanković R: Faculty of Mining and Geology, University of Belgrade, Belgrade 11000, Serbia
Vulović N: Faculty of Mining and Geology, University of Belgrade, Belgrade 11000, Serbia
Lilić N: Faculty of Mining and Geology, University of Belgrade, Belgrade 11000, Serbia
Obradović I: Faculty of Mining and Geology, University of Belgrade, Belgrade 11000, Serbia
Tošović R: Faculty of Mining and Geology, University of Belgrade, Belgrade 11000, Serbia
Pešić-Georgiadis M: Faculty of Mining and Geology, University of Belgrade, Belgrade 11000, Serbia
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Journal Name
Energies
Volume
9
Issue
7
Article Number
E567
Year
2016
Publication Date
2016-07-21
Published Version
ISSN
1996-1073
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Original Submission
Other Meta
PII: en9070567, Publication Type: Journal Article
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LAPSE:2019.0073
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doi:10.3390/en9070567
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Jan 7, 2019
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CC BY 4.0
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Original Submitter
Calvin Tsay
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