Model Library

Annualized agricultural non-point source pollution (AnnAGNPS)

Model name: Annualized agricultural non-point source pollution (AnnAGNPS)

Developed by: U.S. Department of Agriculture's Agricultural Research Service (USDA-ARS) collaborated with the Minnesota Pollution Control Agency and the National Resources Conservation Service (NRCS) (Last update: 2024)

Model type: Semi-distributed, deterministic, process-based, event-driven, continuous-simulation, hydrological watershed model

History: The AnnAGNPS model was created to extend and enhance the functionalities of the single-event AGNPS model.

Computational requirements: Windows (preferred older Windows versions)

Software requirements: ArcGIS, QGIS, MapWindow, MapInfo

Link to download model

Capabilities and Limitations:

Capabilities

  • Flexibility in configuring parameters to match specific watershed characteristics;
  • Simulating event-based, seasonal and long-term water quality and hydrological impacts;
  • Compatible with various GIS platforms;
  • Supported by many documentations;
  • The model was designed to account for different sediment source areas and sinks, and considers the impacts of conservation practices;
  • The model can distinguish between erosion processes and streamed and bank sources;
  • It was enhanced with a riparian buffer component to assess the role of riparian vegetation in reducing sediment transport;
  • The model is spatially distributed;
  • AnnAGNPS simulates water quality, many pesticides, water yield, and sediment yield by particle-size class and source (Borah et al., 2018).

Limitations

  • It is manually calibrated (Abdelwahab et al., 2018);
  • It does not simulate the baseflow (Abdelwahab et al., 2018).
  • For days far from storm events, simulated daily streamflow results are underestimated. (Abdelwahab et al., 2018);
  • It does not account for the deposition of sediment and sediment connectivity (Lim et al., 2017);
  • The estimated soil loss of extreme events by the model was inaccurate (Yuan et al., 2001);
  • Restricted application to agricultural areas and limited developer and community support (Neumann et al., 2021);
  • Does not track nutrients and pesticides attached to sediment in-stream from one event to the next event (Rhomad et al., 2023);
  • Data-intensive (Rhomad et al., 2023);
  • Point source loads are limited to constant loading rates for the entire simulation period (Yuan et al., 2020).

Model Inputs and Outputs:

Inputs

Topography, LULC data, Soil data, Meteorological data, Hydrological data, Water quality data, Management data.

Outputs

Surface flow, sediment, nutrients (N, P, COD, pesticides, and organic carbon), soil moisture, soil erosion.

Examples:

References

Locke MA, et al. Surface runoff in Beasley Lake Watershed: Effect of land management practices in a lower Mississippi River Basin watershed. Journal of Soil and Water Conservation, 2020, 75(3):278–290. https://doi.org/10.2489/jswc.75.3.278

Liu C, Qu L, Clausen J, Lei T, Yang X. Impact of riparian buffer zone design on surface water quality at the watershed scale, a case study in the Jinghe Watershed in China. Water, 2023, 15:2696. https://doi.org/10.3390/w15152696

Objectives

The objectives of the study were to assess the impacts of land management practices in Beasley Lake Watershed on surface runoff, sediment, and nutrients using measured data and simulations with the AnnAGNPS watershed model, focusing on the Conservation Reserve Program (CRP) and row crop areas with edge-of-field riparian buffer conservation practices, compared to row crop subdrainages with no buffers.

The objectives of the study are: (1) to evaluate the reduction of water, sediments, and nitrogen of a standard riparian buffer, (2) to assess the impact of reducing sediments and nutrients of narrower riparian buffers by reducing zones width, and (3) to estimate the effect of vegetation types on reducing sediments and pollutants

Other resources: It is possible to run AnnAGNPS on Linux and MacOS systems using Windows emulation or virtualization tools such as: Wine, VirtualBox, Boot Camp (Intel-based Macs), Parallels Desktop, and VMware Fusion.