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GIS-APPLICATION FOR ENVIRONMENTAL MANAGEMENT IN MINING AREAS ON THE EXAMPLE OF THE MOLTENO COAL FIELD, INDWE, EASTERN CAPE

Afsoon Moatari-Kazerouni

First published: 2017-06-20https://doi.org/10.5593/sgem2017/23/s11.066View metrics

Abstract

Responsible and successful environmental management is necessary for protecting and restoring the natural environment. The interdependency of the earthпїЅs ecosystems and the human impact on the environment present complex challenges to governments and businesses as well as scientists and environmentalists in every discipline. Environmental contamination due to mining in South Africa gradually draws consideration from decision makers and local residents. Ecological awareness within the mining companies also rises as they realize the essential of environmental measures and sustainable development strategies. Many efforts are made to combat environmental pollution. Along this path, it became clear that decision makers in the mining companies face a severe absence of evidence. Geographical Information Systems (GIS) are a likely solution as they deliver not only tools for storage and management of data but also tools for assessment and visualization. This study aims at contributing to close the information gap by developing methods of collecting, managing and reporting environmental information. The developed methods are tested in one of the Molteno coal mining areas. Combination of data and their visualization in a map based environmental report lets decision makers to estimate the significance of procedures and their impacts. Thus, environmental protection investments can be introduced on concrete data and science-based estimates of impacts.

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Publication details

Title
GIS-APPLICATION FOR ENVIRONMENTAL MANAGEMENT IN MINING AREAS ON THE EXAMPLE OF THE MOLTENO COAL FIELD, INDWE, EASTERN CAPE
Authors
Afsoon Moatari-Kazerouni
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
535-540
SWS Citekey
Kazerouni201711535540
ISSN
1314-2704
ISBN
978-619-7408-03-4
Language
en
Publication type
Conference Paper
Keywords
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