Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a...

Area of Science:

• Environmental science
• Hydrology
• Computational modeling

Background:

• Fully distributed hydrologic models offer high-resolution simulations but are computationally intensive.
• This computational cost limits their application to smaller watershed domains.
• Targeted analysis within a larger watershed often requires efficient simulation methods.

Purpose of the Study:

• To introduce and evaluate a nested-discretization modeling strategy for enhancing the computational efficiency of distributed hydrologic simulations.
• To assess the effectiveness of this strategy in capturing fine-resolution hydrologic states, specifically groundwater dynamics, within a defined target area.
• To demonstrate significant computational savings compared to traditional fine-resolution simulations.

Main Methods:

• Implementation of a nested-discretization approach within a distributed hydrologic modeling framework.
• Application of the nested model to two case studies focusing on groundwater dynamics in specific target areas.
• Comparison of simulation results (groundwater table) from the nested approach against a fully fine-resolution simulation.

Main Results:

• The nested simulation strategy accurately replicated groundwater table estimates in the target areas compared to the fine simulation.
• Significant computational savings were achieved using the nested discretization method.
• The efficiency gains were particularly notable for applications requiring detailed hydrologic states in only a portion of the watershed.

Conclusions:

• Nested discretization offers a viable solution for computationally efficient, high-resolution hydrologic simulations in targeted areas.
• This strategy balances the need for detailed local estimates with overall computational resource management.
• The approach holds potential for broader applications in watershed management and hydrological research requiring localized detailed analysis.