Water quality modelling under unsteady state analysis: Strategies for planning and management

Area of Science:

• Environmental Science
• Hydrology
• Water Resource Management

Background:

• Effective water resource management requires evaluating risks and variable inputs, especially with diverse water uses, land use changes, and climate change.
• River discharge and contaminant transport modeling are crucial for predicting environmental scenarios in complex water systems.

Purpose of the Study:

• To propose an integrated modeling framework for river flow and contaminant transport.
• To enhance water resource planning by accurately simulating dynamic riverine conditions.

Main Methods:

• Integrated analysis combining hydrodynamic, time series, and water quality simulations.
• Generation of synthetic pollutographs from historical data to match temporal scales of boundary conditions.
• Solving the advection-dispersion-reaction equation using various synthetic input series.

Main Results:

• The study highlights the significant impact of input pollutographs on substance transport simulations in unsteady river states.
• Synthetic pollutographs, often overlooked, play a key role in improving the accuracy of contaminant transport models.
• The integrated approach provides better estimates for planning strategies sensitive to temporal dynamics.

Conclusions:

• The developed modeling approach enhances the assessment of riverine systems and watershed dynamics.
• This research provides a foundation for future studies considering varied data availability and input conditions.
• Accurate modeling of temporal dynamics is essential for robust water resource planning and management.