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Python version of the Source Load Apportionment Model (SLAM)

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Source Load Apportionment Model in Python (SLAMpy)

The Source Load Apportionment Model (SLAM), developed by Ireland's Environmental Protection Agency (EPA), estimates the phosphorus (P) and nitrogen (N) loads that reach a river from all major sources in a sub-catchment e.g. agriculture, forestry and industry.

SLAMpy is the implementation of SLAM in Python. SLAMpy can both be used as an ArcMap Toolbox and as a Python package with its Application Programming Interface (API).

Disclaimer: SLAM makes use of national datasets available for Ireland and, therefore, it is only readily applicable to an Irish context.

Documentation

A tutorial in the form of a Jupyter notebook is available to get started with the usage of SLAMpy's Python API. All the technical details are provided in the Technical Document.

References

Mockler, E.M., Deakin, J., Archbold, M., Daly, D., Bruen, M.: Nutrient Load Apportionment to Support the Identification of Appropriate Water Framework Directive Measures, Biology and Environment, 116B(3), 245-263. doi:10.3318/bioe.2016.22, 2016.

Acknowledgment

This package was developed with the financial support of Ireland's Environmental Protection Agency.