Published January 2021 | Version v1
Journal article

Subsidence prediction versus observation in Australia: A short comment

  • 1. CSIRO Minerals, 1 Technology Court, Pullenvale, QLD, 4069 (Australia)

Description

Over-prediction of subsidence levels of mined land may be an issue for getting mining approval and tighter conditions in some places can be imposed to better inform mining operations and planning. Under-prediction of subsidence, present safety, social and environmental consequences during or after longwall extractions have occurred. In this study we collected subsidence data from reports related to underground coal mining environmental impact statements (EIS) and end of panel reports, and compared predicted subsidence data with the observed data to compare the accuracy of prediction. From the limited data, while it was difficult to substantiate a strong relationship between the predicted and observed subsidence data and mining characteristics, we found that where mining is less than 220 m below the surface subsidence prediction generally matches well with the observed subsidence and the ratio is closer to 1 than those mined at greater depths. Subsidence prediction analysed for mines in the Gunnedah Basin are found to be generally better than those in the Sydney Basin.

sp0020>The results presented here are based on limited data available in the public domain and while more data is needed to prove or disprove the discussed hypotheses, we consider there to be value in extending EIS requirements. Importantly, publication of both prediction and observed subsidence measurements would provide suitable transparency for improved, future predictions, and to provide social and stakeholder assurances that would meet growing legislative requirements.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.eiar.2020.106479

Additional details

Identifiers

DOI
10.1016/j.eiar.2020.106479;
PII
S0195925520303590;

Publishing Information

Journal Title
Environmental Impact Assessment Review
Journal Volume
86
Journal Page Range
vp.
ISSN
0195-9255
CODEN
EIARDK

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54012545
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
ACCURACY; AUSTRALIA; COAL MINING; ENVIRONMENTAL IMPACT STATEMENTS; ENVIRONMENTAL IMPACTS; FORECASTING; MINES; PLANNING; SAFETY; SURFACES
Descriptors DEC
AUSTRALASIA; DEVELOPED COUNTRIES; DOCUMENT TYPES; MINING; UNDERGROUND FACILITIES

Optional Information

Copyright
Copyright (c) 2020 Elsevier Inc. All rights reserved.