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Updated: Jul 2, 2026

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff
Published on: May 15, 2017
Modeling effluent distribution and nitrate transport through an on-site wastewater system
G Hassan1, R B Reneau, C Hagedorn
1Crop and Soil Environmental Sciences Dep., Virginia Polytechnic Inst. and State Univ., Blacksburg, VA 24061-0404, USA. ghassan@vt.edu
Simulation models can predict on-site wastewater system (OWS) performance. This study used HYDRUS-3D to simulate wastewater flow and nitrate transport, confirming its accuracy in predicting soil conditions and reducing environmental impact.
Area of Science:
- Environmental Engineering
- Soil Science
- Hydrology
Background:
- On-site wastewater systems (OWS) are crucial for wastewater treatment before environmental release.
- OWS performance depends on soil properties, effluent quality, and system design.
- Simulation models can enhance the evaluation of OWS impacts on subsurface environments.
Purpose of the Study:
- To evaluate the efficacy of a subsurface drip irrigation system (SDIS) using sequential batch reactor effluent (SBRE).
- To simulate soil water potentials (Psi(s)) and nitrate (NO(3)) migration within and downslope of the SDIS.
- To validate the HYDRUS-3D model's capability in simulating wastewater transport in soil.
Main Methods:
- Utilized an existing SDIS dosed with SBRE.
- Employed a two-dimensional HYDRUS-3D code for simulations.
- Measured and simulated Psi(s) and NO(3) concentrations at 55-cm and 120-cm depths.
Main Results:
- Simulated and measured Psi(s) indicated consistently unsaturated soil conditions.
- Simulated and measured NO(3) concentrations were comparable at both depths.
- High agreement (R² ≈ 0.97) between measured and simulated data validated the model's performance.
- Unsaturated conditions limited the migration of concentrated nitrate plumes.
Conclusions:
- HYDRUS-3D accurately simulates SBRE flow and nitrate transport in soil.
- SDIS with SBRE shows potential for mitigating soil and site limitations in OWS.
- The model's accuracy supports its use in assessing OWS impacts and reducing environmental degradation.
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