Abstract
Millions of people around the world are affected by hazardous levels of arsenic in groundwater. Arsenic concentrations are
generally controlled by the prevailing geochemical conditions and natural hydrological changes which can be exacerbated
by anthropogenic activities. Arsenic mobility under spatially and temporally varying geochemical conditions is often difficult
to assess without the appropriate understanding and quantification of governing physical and geochemical processes. This
PhD thesis addresses this knowledge gap by developing and testing process-based numerical models that more rigorously
incorporate the variability of geochemical conditions into quantitative assessments of arsenic mobility at both the laboratory and
field-scale.
generally controlled by the prevailing geochemical conditions and natural hydrological changes which can be exacerbated
by anthropogenic activities. Arsenic mobility under spatially and temporally varying geochemical conditions is often difficult
to assess without the appropriate understanding and quantification of governing physical and geochemical processes. This
PhD thesis addresses this knowledge gap by developing and testing process-based numerical models that more rigorously
incorporate the variability of geochemical conditions into quantitative assessments of arsenic mobility at both the laboratory and
field-scale.
| Original language | English |
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| Qualification | Doctor of Philosophy |
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| Supervisors/Advisors |
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| Award date | 5 Dec 2017 |
| DOIs | |
| Publication status | Unpublished - 2017 |