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Reports scientific research results on arsenic remobilization and contamination in groundwater aquifer to the technical and user communities for better management of aquifer storage and recovery practice to combat water availability problems. Predicting arsenic mobility in groundwater during aquifer storage and recovery (ASR) and aquifer recharge (AR) is complicated by site-specific factors such as the arsenic-bearing mineral, mobilization mechanism, transit and steady-state groundwater geochemistry. A better understanding of these factors and how they influence arsenic mobilization is vital in developing safe and sustainable ASR and AR operations. This study compiles and further analyzes available kinetic data on arsenic mobilization from arsenopyrite under different aqueous conditions. Based on the results, more robust and widely applicable rate laws are developed for a set of geochemical conditions. When incorporated as the inputs for reactive transport modeling, arsenic mobilization in ASR operations can be better predicted to guide groundwater monitoring and specification of the water pretreatment engineering prior to injection. Furthermore, sensitivity analysis gives additional insight into controlling factors over arsenic mobilization in groundwater.

Description:

Predicting arsenic mobility in groundwater during aquifer storage and recovery (ASR) and aquifer recharge (AR) is complicated by site-specific factors such as the arsenic-bearing mineral, mobilization mechanism, transit and steady-state groundwater geochemistry. A better understanding of these factors and how they influence arsenic mobilization is vital in developing safe and sustainable ASR and AR operations. This study compiles and further analyzes available kinetic data on arsenic mobilization from arsenopyrite under different aqueous conditions. Based on the results, more robust and widely applicable rate laws are developed for a set of geochemical conditions. When incorporated as the inputs for reactive transport modeling, arsenic mobilization in ASR operations can be better predicted to guide groundwater monitoring and specification of the water pretreatment engineering prior to injection. Furthermore, sensitivity analysis gives additional insight into controlling factors over arsenic mobilization in groundwater.

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