Related Experiment Video
Updated: Mar 26, 2026
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Quantitative evaluation of specific vulnerability to nitrate for groundwater resource protection based on
Huan Huan1, Jinsheng Wang2, Yuanzheng Zhai2
1College of Water Sciences, Beijing Normal University, Beijing 100875, China; State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, Beijing 100875, China.
A new process-based model quantifies groundwater nitrate vulnerability using vadose zone transport. This method provides more accurate vulnerability mapping than traditional approaches, aiding groundwater protection efforts.
Area of Science:
- Environmental Science
- Hydrogeology
- Water Resource Management
Background:
- Groundwater vulnerability assessment is crucial for protection, but quantitative methods for specific contamination risks are limited.
- Understanding complex contaminant fate and transport in groundwater systems remains a challenge for accurate vulnerability assessment.
Purpose of the Study:
- To present a process-based simulation model for assessing specific groundwater vulnerability to nitrate contamination.
- To apply a 1D flow and solute transport model in the unsaturated vadose zone for groundwater resource protection.
- To compare the process-based model with traditional index-based methods for improved vulnerability mapping.
Main Methods:
- Utilized a 1D flow and solute transport model in the unsaturated vadose zone to simulate nitrate transport.
- Determined key parameters (denitrification, nitrification, adsorption constants) through laboratory experiments.
- Defined specific vulnerability using the transfer time (t50) to the groundwater table and integrated it with recharge and layer thickness.
Main Results:
- Identified vulnerable regions in Jilin City, China, primarily along river floodplains.
- Found that 76% of the study area exhibited low to moderate vulnerability to nitrate contamination.
- Sensitivity analysis indicated groundwater recharge, soil properties, and denitrification rates as key factors influencing vulnerability.
Conclusions:
- The process-based simulation model offers a more realistic and accurate approach to specific groundwater vulnerability assessment and mapping.
- The model's quantitative nature enhances groundwater protection strategies by identifying high-risk areas.
- Further research should explore the model's limitations and broader applicability in diverse hydrogeological settings.
