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Updated: Jan 13, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Adaptive Groundwater Management: Tiered Environmental Health Risk Assessment and Zonation at Complex Contaminated
Futian Ren1, Peng Wang1,2, Zhao Guo1
1State Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing 210023, China.
Regulations often ignore groundwater contaminant mixtures. This study introduces a framework for assessing and managing risks from multiple toxicants, identifying key pollutants and reducing high-risk areas effectively.
Area of Science:
- Environmental Science
- Toxicology
- Risk Assessment
Background:
- Current regulations often assess toxicants individually, neglecting the synergistic risks of complex mixtures in groundwater.
- Realistic coexposure scenarios necessitate a shift towards mixture-oriented risk management strategies.
Purpose of the Study:
- To develop and validate an adaptive framework for assessing and managing environmental and human health risks posed by toxicant mixtures in groundwater.
- To identify priority toxicants and high-risk zones within complex groundwater systems for targeted intervention.
Main Methods:
- Integrated 1,016,590 quarterly concentration records for 277 toxicants from 367 monitoring points.
- Quantified ecological risk using species-sensitivity distribution models (concentration addition → response addition) and human health risks via Monte Carlo simulations.
- Developed an Environmental Health Risk Index (EHRI) by merging ecological and health risk dimensions and applied spatial interpolation for grid-scale risk mapping.
Main Results:
- Identified that a small subset of toxicants (inorganics, metals, BTEXs, haloalkanes, phenols) drives over 95% of the cumulative EHRI.
- Quadrant analysis revealed four distinct coexposure patterns influencing risk.
- Demonstrated that implementing a "source-plume-buffer" treatment train based on the framework reduced high-concern zones (EHRI > 0.60) from 19 km² to <0.1 km² by targeting 45 high-leverage toxicants.
Conclusions:
- The developed framework effectively unifies deterministic and probabilistic risk assessment approaches for complex toxicant mixtures.
- Provides field-scale evidence for coupling mixture-aware risk assessment with risk-zoned management for sustainable groundwater regulation.
- Offers a transferable blueprint for managing multipollutant systems, potentially applicable to surface water and other environmental management zones.
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