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Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water
10:34

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Published on: August 3, 2016

Assessing water pollution by micropollutants using passive sampling and forensic intelligence.

Naomi Reymond1, Vick Glanzmann1, Sofie Huisman2

  • 1School of Criminal Justice, University of Lausanne, Batochime building, Lausanne 1015, Switzerland.

Forensic Science International
|May 26, 2026
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Summary

Forensic operational monitoring using passive sampling effectively tracks river pollution. This method identifies spatial and temporal patterns of micropollutants, aiding source detection and water quality management.

Keywords:
ContaminationEnvironmentMonitoringPolicyTraceWater quality

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Forensic Science

Background:

  • Water pollution from agriculture, industry, and urban areas threatens ecosystems and health.
  • Traditional water monitoring methods have limitations in temporal and spatial resolution.
  • Passive sampling offers an alternative for comprehensive water quality assessment.

Purpose of the Study:

  • To explore passive sampling within a forensic operational monitoring framework for river pollution assessment.
  • To detect spatial and temporal pollution patterns and identify contamination sources.
  • To provide actionable intelligence for water quality management and policy interventions.

Main Methods:

  • Deployment of passive samplers across three Swiss rivers with diverse land-use profiles.
  • Collection of time-weighted average concentrations of micropollutants (pesticides, pharmaceuticals, industrial chemicals).
  • Integration of data into a 'memory' for pattern detection and hypothesis formulation.

Main Results:

  • Successful collection of time-weighted average micropollutant concentrations.
  • Detection of distinct spatial and temporal pollution patterns linked to land-use types.
  • Demonstration of the framework's ability to support hypothesis testing and source identification.

Conclusions:

  • Passive sampling integrated into a forensic framework provides a dynamic tool for river pollution monitoring.
  • The methodology enables in-depth spatio-temporal assessment and source attribution of micropollutants.
  • This approach offers actionable intelligence for enhanced water quality management and adaptive environmental policies.