Lead mobilization and speciation in mining waste : experiments and modeling
- Drapeau, Clementine, Argane, Rabei, Delolme, Cecile, Blanc, Denise, Baumgartl, Thomas
- Authors: Drapeau, Clementine , Argane, Rabei , Delolme, Cecile , Blanc, Denise , Baumgartl, Thomas
- Date: 2021
- Type: Text , Journal article
- Relation: Minerals Vol. 11, no. 6 (2021), p.
- Full Text:
- Reviewed:
- Description: Mining produces significant amounts of solid mineral waste. Mine waste storage facilities are often challenging to manage and may cause environmental problems. Mining waste is often linked to contaminated mine drainage, including acidic waters with more or less elevated concentrations of trace metals such as lead. This work presents a study on the mobilization of lead from waste from two typical mining sites: Zeida and Mibladen, two now-closed former Pb–Zn mines in the Moulouya region of Morocco. Our research investigates the mobilization potential of Pb from the waste of these mines. The study involved acid–base neutralization capacity tests (ANC–BNC) combined with geochemical modeling. Experimental data allowed for the quantification of the buffering capacity of the samples and the mobilization rates of lead as a function of pH. The geochemical model was fitted to experimental results with thermodynamic considerations. The geochemical model allowed for the identification of the mineral phases involved in providing the buffering capacity of carbonated mining waste (Mibladen) and the meager buffering capacity of the silicate mining waste (Zeida). These cases are representative of contaminated neutral drainage (CND) and acid mine drainage (AMD), respectively. The results highlight the consistency between the ANC–BNC experimental data and the associated modeling in terms of geochemical behavior, validating the approach and identifying the main mechanisms involved. The modeling approach identifies the dissolution of the main solid phases, which impact the pH and the speciation of lead as a function of the pH. This innovative approach, combining ANC–BNC experiments and geochemical modeling, allowed for the accurate identification of mineral phases and surface complexation phenomena, which control the release of lead and its speciation in drainage solutions, as well as within solid phases, as a function of pH. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Thomas Baumgartl” is provided in this record**
- Authors: Drapeau, Clementine , Argane, Rabei , Delolme, Cecile , Blanc, Denise , Baumgartl, Thomas
- Date: 2021
- Type: Text , Journal article
- Relation: Minerals Vol. 11, no. 6 (2021), p.
- Full Text:
- Reviewed:
- Description: Mining produces significant amounts of solid mineral waste. Mine waste storage facilities are often challenging to manage and may cause environmental problems. Mining waste is often linked to contaminated mine drainage, including acidic waters with more or less elevated concentrations of trace metals such as lead. This work presents a study on the mobilization of lead from waste from two typical mining sites: Zeida and Mibladen, two now-closed former Pb–Zn mines in the Moulouya region of Morocco. Our research investigates the mobilization potential of Pb from the waste of these mines. The study involved acid–base neutralization capacity tests (ANC–BNC) combined with geochemical modeling. Experimental data allowed for the quantification of the buffering capacity of the samples and the mobilization rates of lead as a function of pH. The geochemical model was fitted to experimental results with thermodynamic considerations. The geochemical model allowed for the identification of the mineral phases involved in providing the buffering capacity of carbonated mining waste (Mibladen) and the meager buffering capacity of the silicate mining waste (Zeida). These cases are representative of contaminated neutral drainage (CND) and acid mine drainage (AMD), respectively. The results highlight the consistency between the ANC–BNC experimental data and the associated modeling in terms of geochemical behavior, validating the approach and identifying the main mechanisms involved. The modeling approach identifies the dissolution of the main solid phases, which impact the pH and the speciation of lead as a function of the pH. This innovative approach, combining ANC–BNC experiments and geochemical modeling, allowed for the accurate identification of mineral phases and surface complexation phenomena, which control the release of lead and its speciation in drainage solutions, as well as within solid phases, as a function of pH. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Thomas Baumgartl” is provided in this record**
Stochastic modeling of the output power of photovoltaic generators in various weather conditions
- Batool, Munira, Islam, Syed, Shahnia, Farhad
- Authors: Batool, Munira , Islam, Syed , Shahnia, Farhad
- Date: 2016
- Type: Text , Conference proceedings , Conference paper
- Relation: 2016 Australasian Universities Power Engineering Conference, AUPEC 2016; Brisbane, Australia; 25th-28th September 2016 p. 1-5
- Full Text:
- Reviewed:
- Description: The intermittency of solar-powered energy sources prompt the uncertainty of load management. The influence of shading (whatever the reason may be) directly diminishes the feasible output power of the photovoltaic (PV) generators. The major causes of shading are the weather condition changes like the clouds, storms, and rains. Thereby, the dispatchable power for a distinct weather condition at an explicit time frame needs to be quantified. The stochastic modeling of a practical PV system has been performed in this paper. A step-by-step MATLAB-based algorithm is developed for tracking of dispatchable power limit using the Monte Carlo Principle. The proposed algorithm describes the weather condition as a function of cloud presence. The prescribed characteristics consist of the solar irradiance and the ambient temperature. The impact of weather changes on the output power of a PV system is evaluated by this algorithm. The results of this research are concluded by realistic data analysis taken from the Australian bureau of meteorology.
- Authors: Batool, Munira , Islam, Syed , Shahnia, Farhad
- Date: 2016
- Type: Text , Conference proceedings , Conference paper
- Relation: 2016 Australasian Universities Power Engineering Conference, AUPEC 2016; Brisbane, Australia; 25th-28th September 2016 p. 1-5
- Full Text:
- Reviewed:
- Description: The intermittency of solar-powered energy sources prompt the uncertainty of load management. The influence of shading (whatever the reason may be) directly diminishes the feasible output power of the photovoltaic (PV) generators. The major causes of shading are the weather condition changes like the clouds, storms, and rains. Thereby, the dispatchable power for a distinct weather condition at an explicit time frame needs to be quantified. The stochastic modeling of a practical PV system has been performed in this paper. A step-by-step MATLAB-based algorithm is developed for tracking of dispatchable power limit using the Monte Carlo Principle. The proposed algorithm describes the weather condition as a function of cloud presence. The prescribed characteristics consist of the solar irradiance and the ambient temperature. The impact of weather changes on the output power of a PV system is evaluated by this algorithm. The results of this research are concluded by realistic data analysis taken from the Australian bureau of meteorology.
VFR travel : It is underestimated
- Authors: Backer, Elisa
- Date: 2012
- Type: Text , Journal article
- Relation: Tourism Management Vol. 33, no. 1 (2012), p. 74-79
- Full Text:
- Reviewed:
- Description: Visiting Friends and Relatives (VFR) travel is a substantial form of tourism worldwide. In Australia, official data measure VFR in one of two ways - purpose of visit or type of accommodation. However, this is only a measurement of those factors; it is not a measure of the size by volume of VFR travel. Yet tourism practitioners often mistakenly use these data to state the size of VFR travel in their destination. Based on quantitative research undertaken in three contrasting destinations in Australia, estimates for the size of VFR travel in those destinations is provided. These results highlight that using official data for measuring VFR travel will underestimate this segment in any Australian destination. Using the VFR definitional model as a conceptual model, this research has estimated that VFR travel represents 48% of Australia's total overnight tourism market. © 2011 Elsevier Ltd.
- Authors: Backer, Elisa
- Date: 2012
- Type: Text , Journal article
- Relation: Tourism Management Vol. 33, no. 1 (2012), p. 74-79
- Full Text:
- Reviewed:
- Description: Visiting Friends and Relatives (VFR) travel is a substantial form of tourism worldwide. In Australia, official data measure VFR in one of two ways - purpose of visit or type of accommodation. However, this is only a measurement of those factors; it is not a measure of the size by volume of VFR travel. Yet tourism practitioners often mistakenly use these data to state the size of VFR travel in their destination. Based on quantitative research undertaken in three contrasting destinations in Australia, estimates for the size of VFR travel in those destinations is provided. These results highlight that using official data for measuring VFR travel will underestimate this segment in any Australian destination. Using the VFR definitional model as a conceptual model, this research has estimated that VFR travel represents 48% of Australia's total overnight tourism market. © 2011 Elsevier Ltd.
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