Research summary · 2020

Review Paper: Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models

A review of 14 watershed-scale water-quality and nonpoint-source pollution models and model-selection criteria.

Research snapshot

Research question

How should users select among watershed-scale water-quality and nonpoint-source pollution models?

Methods

Structured review of 14 models · complexity, inputs, scale, pollutants, calibration, and availability

Practical relevance

Helps practitioners match model capabilities and complexity to watershed-management decisions.

Research Question

How should watershed managers and model users select among watershed-scale water-quality and nonpoint-source-pollution models with different structures, data requirements, process representations, and levels of complexity?

Why It Matters

Watershed models are widely used to evaluate nitrogen, phosphorus, total suspended solids, and other nonpoint-source pollutants, but choosing an unsuitable model can lead to misinterpretation or misapplication. Clear selection criteria are essential for hydrologic assessment, nutrient management, policy development, and Total Maximum Daily Load analysis.

Methods

  • Conducted a structured review of 14 widely used models and modeling systems.
  • Compared intended use, process components, land-use suitability, input parameters, spatial and temporal scales, simulated pollutants, calibration needs, strengths, limitations, and software availability.
  • Organized the tools by complexity and application context.
  • Evaluated selection criteria including calibration and validation, uncertainty analysis, and future research needs.

Key Findings

  • Simple screening models, including L-THIA and N-SPECT/OpenNSPECT, require relatively limited data.
  • Medium-complexity models, including GWLF, LSPC, SLAMM, and WARMF, add process detail with moderate input and calibration requirements.
  • Complex process-based models, including AGNPS/AnnAGNPS, SWAT, SWMM, and HSPF, support sophisticated simulations but demand detailed data and rigorous calibration.
  • Integrated modeling systems, including AGWA, BASINS, and WMS, combine multiple tools to address hydrologic, hydraulic, and water-quality processes.
  • Appropriate selection depends on the management objective, pollutant, spatial and temporal scale, available data, user expertise, calibration evidence, and uncertainty requirements.

My Contribution

Lifeng Yuan contributed to the model review, comparative assessment, synthesis of model-selection criteria, and manuscript preparation.

Practical Relevance

The review gives watershed managers and planners a concise framework for matching model capability and complexity to decision needs, helping reduce model misuse and improve nonpoint-source-pollution assessment and watershed protection.

Publication & Resources

Keywords: watershed modeling; water quality; nonpoint source pollution; model selection; uncertainty analysis