Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Quantification methods and management of hydrogeochemistry in decommissioned collieries of the Mpumalanga Coalfields

Thesis (PhD)--University of Pretoria, 2017.

Saved in:
Bibliographic Details
Other Authors: Dippenaar, Matthys Alois
Format: Thesis
Language:English
Published: University of Pretoria 2017
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613672971436032
access_status_str Open Access
author2 Dippenaar, Matthys Alois
author_browse Dippenaar, Matthys Alois
author_facet Dippenaar, Matthys Alois
collection Thesis
dc_rights_str_mv © 2017 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD)--University of Pretoria, 2017.
format Thesis
id oai:repository.up.ac.za:2263/63215
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:52.674Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/63215 Quantification methods and management of hydrogeochemistry in decommissioned collieries of the Mpumalanga Coalfields Dippenaar, Matthys Alois altus@gptglobal.com Wolkersdorfer, Christian Huisamen, Altus UCTD Hydrogeochemistry Acid mine drainage Mpumalanga Coalfields Mine rehabilitation Geochemical modelling Natural and agricultural sciences theses SDG-06 Natural and agricultural sciences theses SDG-09 Natural and agricultural sciences theses SDG-12 Thesis (PhD)--University of Pretoria, 2017. Mine water chemistry and its evolution has been the focus of various studies. However, these studies were primarily based on data from underground mines, pit lakes and mining waste dumps. Backfilled opencast mines have received limited attention in this regard and were postulated to undergo an initial flush, in a similar fashion to underground mines. Previous work in the prediction of mine water quality focussed on the fitting of an idealised decay rate curve to existing mine water chemistry data, analytical calculations, simplified geochemical modelling approaches and numerical transport models. This study has taken components from these approaches to predict the evolution of mine water quality from backfilled opencast mines, during the initial flush, but with an additional component, defining it as a new approach. This component is calibration of geochemical modelling data and numerical flow and transport modelling data, with existing groundwater monitoring data over a short term, relative to the duration of the initial flush. Laboratory analyses were further used to augment the calibration process in various steps. Results obtained show that the initial flush in backfilled opencast mines is likely to last 20 to 100 years, depending on site specific conditions. To further understand this duration, speciation modelling and statistical analysis was undertaken to determine controlling mineral phases in solution at backfilled opencast coal mines. Pyrite, gypsum, calcite, kaolinite and possible smectite were identified as the major controlling mineral phases in mine water chemistry of backfilled opencast coal mines at the study sites used for this thesis. Based on the understanding of the controlling mineral phases in solution and the calibrated mine water quality predictions made, the study also proposed the maximisation of water addition to backfilled opencast coal mines as a means to accelerate the initial flush, potentially turning contaminated mine water into a resource. bs2026 Geology PhD Unrestricted SDG-06: Clean water and sanitation SDG-09: Industry, innovation and infrastructure SDG-12: Responsible consumption and production 2017-11-20T10:11:08Z 2017-11-20T10:11:08Z 2017 2017 Thesis Huisamen, A 2017, Quantification methods and management of hydrogeochemistry in decommissioned collieries of the Mpumalanga Coalfields, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/63215> S2017 http://hdl.handle.net/2263/63215 en © 2017 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Hydrogeochemistry
Acid mine drainage
Mpumalanga Coalfields
Mine rehabilitation
Geochemical modelling
Natural and agricultural sciences theses SDG-06
Natural and agricultural sciences theses SDG-09
Natural and agricultural sciences theses SDG-12
Quantification methods and management of hydrogeochemistry in decommissioned collieries of the Mpumalanga Coalfields
title Quantification methods and management of hydrogeochemistry in decommissioned collieries of the Mpumalanga Coalfields
title_full Quantification methods and management of hydrogeochemistry in decommissioned collieries of the Mpumalanga Coalfields
title_fullStr Quantification methods and management of hydrogeochemistry in decommissioned collieries of the Mpumalanga Coalfields
title_full_unstemmed Quantification methods and management of hydrogeochemistry in decommissioned collieries of the Mpumalanga Coalfields
title_short Quantification methods and management of hydrogeochemistry in decommissioned collieries of the Mpumalanga Coalfields
title_sort quantification methods and management of hydrogeochemistry in decommissioned collieries of the mpumalanga coalfields
topic UCTD
Hydrogeochemistry
Acid mine drainage
Mpumalanga Coalfields
Mine rehabilitation
Geochemical modelling
Natural and agricultural sciences theses SDG-06
Natural and agricultural sciences theses SDG-09
Natural and agricultural sciences theses SDG-12
url http://hdl.handle.net/2263/63215