Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR021240 |
Multiscale Characterization and Quantification of Arsenic Mobilization and Attenuation During Injection of Treated Coal Seam Gas Coproduced Water into Deep Aquifers | |
Rathi, Bhasker1,2; Siade, Adam J.1,2,3; Donn, Michael J.3; Helm, Lauren4; Morris, Ryan4; Davis, James A.5; Berg, Michael6; Prommer, Henning1,2,3 | |
2017-12-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:12 |
文章类型 | Article |
语种 | 英语 |
国家 | Australia; USA; Switzerland |
英文摘要 | Coal seam gas production involves generation and management of large amounts of coproduced water. One of the most suitable methods of management is injection into deep aquifers. Field injection trials may be used to support the predictions of anticipated hydrological and geochemical impacts of injection. The present work employs reactive transport modeling (RTM) for a comprehensive analysis of data collected from a trial where arsenic mobilization was observed. Arsenic sorption behavior was studied through laboratory experiments, accompanied by the development of a surface complexation model (SCM). A field-scale RTM that incorporated the laboratory-derived SCM was used to simulate the data collected during the field injection trial and then to predict the long-term fate of arsenic. We propose a new practical procedure which integrates laboratory and field-scale models using a Monte Carlo type uncertainty analysis and alleviates a significant proportion of the computational effort required for predictive uncertainty quantification. The results illustrate that both arsenic desorption under alkaline conditions and pyrite oxidation have likely contributed to the arsenic mobilization that was observed during the field trial. The predictive simulations show that arsenic concentrations would likely remain very low if the potential for pyrite oxidation is minimized through complete deoxygenation of the injectant. The proposed modeling and predictive uncertainty quantification method can be implemented for a wide range of groundwater studies that investigate the risks of metal(loid) or radionuclide contamination. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000423299000043 |
WOS关键词 | SURFACE COMPLEXATION ; REACTIVE TRANSPORT ; GROUND-WATER ; URANIUM(VI) ADSORPTION ; CARBONATE AQUIFER ; WEST-BENGAL ; MOBILITY ; SEDIMENTS ; RECHARGE ; MODEL |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21337 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Western Australia, Sch Earth Sci, Nedlands, WA, Australia; 2.CSIRO Land & Water, Private Bag 5, Wembley, WA, Australia; 3.Natl Ctr Groundwater Res & Training, Bedford Pk, SA, Australia; 4.Origin Energy, 339 Coronat Dr, Milton, Qld, Australia; 5.Lawrence Berkeley Natl Lab, Earth Sci Div, Berkeley, CA USA; 6.Eawag, Swiss Fed Inst Aquat Sci & Technol, Dubendorf, Switzerland |
推荐引用方式 GB/T 7714 | Rathi, Bhasker,Siade, Adam J.,Donn, Michael J.,et al. Multiscale Characterization and Quantification of Arsenic Mobilization and Attenuation During Injection of Treated Coal Seam Gas Coproduced Water into Deep Aquifers[J]. WATER RESOURCES RESEARCH,2017,53(12). |
APA | Rathi, Bhasker.,Siade, Adam J..,Donn, Michael J..,Helm, Lauren.,Morris, Ryan.,...&Prommer, Henning.(2017).Multiscale Characterization and Quantification of Arsenic Mobilization and Attenuation During Injection of Treated Coal Seam Gas Coproduced Water into Deep Aquifers.WATER RESOURCES RESEARCH,53(12). |
MLA | Rathi, Bhasker,et al."Multiscale Characterization and Quantification of Arsenic Mobilization and Attenuation During Injection of Treated Coal Seam Gas Coproduced Water into Deep Aquifers".WATER RESOURCES RESEARCH 53.12(2017). |
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