Minimizing the exposure risk from groundwater pollution by optimizing the temporal extraction patterns

Area of Science:

• Environmental Science
• Hydrogeology
• Risk Assessment

Background:

• Economic constraints limit access to complex optimization models for groundwater pollution management.
• Developing simplified strategies is crucial for communities facing resource limitations and uncertainty.

Purpose of the Study:

• To establish a practical
• rule of thumb
• approach for minimizing pollutant exposure from groundwater resources under uncertainty.
• To evaluate the impact of various factors on groundwater contamination risk.

Main Methods:

• Monte Carlo analysis was employed on a simplified groundwater system.
• Investigated the influence of temporal extraction patterns, distance to pollution source, dispersivity, pollutant pulse period, pore water velocity, and decay.

Main Results:

• Frequent temporal extraction patterns are effective in reducing high pollutant exposure.
• Mixing water from multiple, spatially distributed wells significantly mitigates contamination risk.
• These strategies are particularly beneficial in high uncertainty scenarios.

Conclusions:

• A simplified, accessible approach using frequent, multi-well extraction can manage groundwater contamination risks.
• This provides a viable alternative for communities lacking resources for advanced modeling.
• The findings offer practical guidance for safeguarding drinking water supplies.