Groundwater-climate relationships, Ranger uranium mine, Australia: 1. Time series statistical analyses

Mobashwera Kabir; Kais Hamza; Gavin M. Mudd; Anthony R. Ladson

Groundwater-climate relationships, Ranger uranium mine, Australia: 1. Time series statistical analyses

Mobashwera Kabir, Kais Hamza, Gavin M. Mudd, Anthony R. Ladson

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

This paper presents the results of applying specific time series statistical techniques to observed historical groundwater-climate data at the Ranger uranium project. By developing and applying existing statistical techniques, rarely used in mining studies, improved confidence about the understanding of the groundwaterclimate relationship at the Ranger uranium project is obtained. This forms a sound basis upon which future climate scenarios can be used to predict the response of the groundwater after rehabilitation and into the long-term, especially with respect to potential climate change impacts.

Original language	English
Title of host publication	Uranium, Mining and Hydrogeology
Subtitle of host publication	5th International Conference on Uranium Mining and Hydrogeology, UMH 2008; Freiberg; Germany; 1 September 2008 through 1 September 2008; Code 103342
Pages	343-352
Number of pages	10
Publication status	Published - 1 Jan 2008
Event	International Conference on Uranium Mining and Hydrogeology (UMH 2008) - Freiberg, Germany Duration: 1 Sept 2008 → 1 Sept 2008 Conference number: 5th

Conference

Conference	International Conference on Uranium Mining and Hydrogeology (UMH 2008)
Abbreviated title	UMH 2008
Country/Territory	Germany
City	Freiberg
Period	1/09/08 → 1/09/08

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Groundwater-climate relationships, Ranger uranium mine, Australia: 1. Time series statistical analyses",

abstract = "This paper presents the results of applying specific time series statistical techniques to observed historical groundwater-climate data at the Ranger uranium project. By developing and applying existing statistical techniques, rarely used in mining studies, improved confidence about the understanding of the groundwaterclimate relationship at the Ranger uranium project is obtained. This forms a sound basis upon which future climate scenarios can be used to predict the response of the groundwater after rehabilitation and into the long-term, especially with respect to potential climate change impacts.",

author = "Mobashwera Kabir and Kais Hamza and Mudd, {Gavin M.} and Ladson, {Anthony R.}",

year = "2008",

month = jan,

day = "1",

language = "English",

pages = "343--352",

booktitle = "Uranium, Mining and Hydrogeology",

note = "International Conference on Uranium Mining and Hydrogeology (UMH 2008), UMH 2008 ; Conference date: 01-09-2008 Through 01-09-2008",

}

Kabir, M, Hamza, K, Mudd, GM & Ladson, AR 2008, Groundwater-climate relationships, Ranger uranium mine, Australia: 1. Time series statistical analyses. in Uranium, Mining and Hydrogeology: 5th International Conference on Uranium Mining and Hydrogeology, UMH 2008; Freiberg; Germany; 1 September 2008 through 1 September 2008; Code 103342. pp. 343-352, International Conference on Uranium Mining and Hydrogeology (UMH 2008), Freiberg, Germany, 1/09/08.

Groundwater-climate relationships, Ranger uranium mine, Australia: 1. Time series statistical analyses. / Kabir, Mobashwera; Hamza, Kais; Mudd, Gavin M. et al.
Uranium, Mining and Hydrogeology: 5th International Conference on Uranium Mining and Hydrogeology, UMH 2008; Freiberg; Germany; 1 September 2008 through 1 September 2008; Code 103342. 2008. p. 343-352.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Hamza, Kais

AU - Mudd, Gavin M.

AU - Ladson, Anthony R.

N1 - Conference code: 5th

PY - 2008/1/1

Y1 - 2008/1/1

N2 - This paper presents the results of applying specific time series statistical techniques to observed historical groundwater-climate data at the Ranger uranium project. By developing and applying existing statistical techniques, rarely used in mining studies, improved confidence about the understanding of the groundwaterclimate relationship at the Ranger uranium project is obtained. This forms a sound basis upon which future climate scenarios can be used to predict the response of the groundwater after rehabilitation and into the long-term, especially with respect to potential climate change impacts.

AB - This paper presents the results of applying specific time series statistical techniques to observed historical groundwater-climate data at the Ranger uranium project. By developing and applying existing statistical techniques, rarely used in mining studies, improved confidence about the understanding of the groundwaterclimate relationship at the Ranger uranium project is obtained. This forms a sound basis upon which future climate scenarios can be used to predict the response of the groundwater after rehabilitation and into the long-term, especially with respect to potential climate change impacts.

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M3 - Conference Paper

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BT - Uranium, Mining and Hydrogeology

Y2 - 1 September 2008 through 1 September 2008

ER -

Groundwater-climate relationships, Ranger uranium mine, Australia: 1. Time series statistical analyses

Abstract

Conference

UN SDGs

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