Abstract
Accurate modeling of pollutant transport during storm events is critical for watershed management and pollution mitigation. This study extends Diskin’s Cell Model, originally developed for rainfall–runoff simulations, to incorporate pollutant transport dynamics. By integrating an Instantaneous Unit Hydrograph (IUH), the model transforms pollutant loads into effective mass transport predictions while ensuring mass conservation. The framework accounts for contamination mobilized by rainfall, including agricultural runoff and industrial discharges, and applies convolution-based routing to capture pollutant dispersion. Calibrations using single-cell, two-cell, and fifteen-cell watersheds validate the model’s predictive capability and demonstrate its effectiveness in estimating pollutant accumulation at downstream locations. The results highlight the model’s potential for scalable water quality assessments, stormwater pollution control, and data-driven watershed management strategies.
| Original language | English |
|---|---|
| Article number | 1693 |
| Journal | Water (Switzerland) |
| Volume | 17 |
| Issue number | 11 |
| DOIs | |
| State | Published - Jun 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
Keywords
- Diskin’s Cell Model
- Instantaneous Unit Hydrograph (IUH)
- pollutant transport
- rainfall–runoff modeling
- water quality modeling
All Science Journal Classification (ASJC) codes
- Biochemistry
- Geography, Planning and Development
- Aquatic Science
- Water Science and Technology
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