Publications by authors named "Mohit Malu"
Environ Sci Technol
November 2024
Article Synopsis
- Accurately assessing risks from inorganic pollutants in groundwater is crucial, but existing water quality databases often lack sufficient data due to budget constraints and sample collection challenges.
- Two advanced data imputation techniques, AMELIA and MICE, were compared, with AMELIA proving more effective in managing missing values without creating excessive outliers.
- The use of imputed data revealed significantly more potential health risks in groundwater samples, helping state agencies better allocate resources for monitoring and analysis, thus enhancing decision-making and prioritization for future sampling efforts.
