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Predicting the postmortem submersion interval for human remains recovered from U.K. waterways
Vivienne Heaton1, Abigail Lagden, Colin Moffatt
1School of Forensic and Investigative Sciences, University of Central Lancashire, Preston PR1 2HE, UK.
Journal of Forensic Sciences
|January 28, 2010
Summary
Estimating the postmortem submersion interval (PMSI) is crucial for riverine recoveries. This study developed a model using decomposition levels and accumulated degree days (ADD) to improve PMSI accuracy in UK waterways.
Area of Science:
- Forensic Science
- Environmental Science
- Toxicology
Background:
- Accurate estimation of the postmortem submersion interval (PMSI) is vital in forensic investigations, particularly for bodies recovered from aquatic environments.
- Existing methods for PMSI estimation in riverine settings, especially in the UK, require refinement for improved accuracy.
- Decomposition rates are influenced by environmental factors such as water temperature and submersion duration.
Purpose of the Study:
- To enhance the accuracy of postmortem submersion interval (PMSI) estimation for human remains recovered from rivers in the United Kingdom.
- To investigate the relationship between decomposition levels, water temperature (accumulated degree days - ADD), and submersion duration.
- To develop a predictive model for PMSI based on observed decomposition and environmental data.
Main Methods:
- Data were retrospectively collected from 187 cases over 15 years involving bodies recovered from the River Clyde, River Mersey, and associated canals.
- Decomposition was quantified by scoring the overall observed decomposition in each case.
- Statistical analysis, including linear regression, was used to correlate decomposition levels with accumulated degree days (ADD) and submersion duration.
Main Results:
- Both the duration of submersion and accumulated degree days (ADD) significantly influenced the rate of decomposition.
- No significant differences in decomposition patterns were observed between the different waterways studied (River Clyde, River Mersey, canals).
- A single linear regression model was successfully developed to predict ADD from observed decomposition, enabling improved PMSI estimation.
Conclusions:
- The developed linear regression model provides a more accurate method for estimating the postmortem submersion interval (PMSI) in UK riverine environments.
- Decomposition is a reliable indicator for estimating submersion duration when combined with temperature data (ADD).
- This research offers a valuable tool for forensic investigators working with aquatic recovery cases in the United Kingdom.

