Model
INCA–Pathogens (Integrated Catchments Model – Pathogens)

INCA-Pathogens is a processed based dynamic model representation of terrestrial system for pathogen dynamics and instream pathogen dynamics and interactions with bed sediment stores. It is spatially semi-distributed.

Version
1.0.1
Contact
Paul Whitehead, University of Oxford
Keywords
Release Date
1/1/2016
License
Freely available executable free for researchers License fee for commercial use
Operating Requirements
Windows system, limited storage
Application Type
Provided as compiled exe version
User Interface
Windows plus automatic built in graphics
Support Available
Contact developer, Paul Whitehead
Application Scale
catchment
Geographical Restrictions
None
Temporal Resolution
Daily
Spatial Resolution
Multibranch so can represent complex networks of streams if required
Primary Purpose
Research on Pathogen distribution in Catchments and assessing impacts climate and land use change
Key Output Variables
Flows, pathogens concentrations in river water, sediments and soils
Key Input Variables
DTM, river boundaries, land use %, climate data
Calibration Required
Yes needs observed flow and pathogens data for calibration
Model Structure
Conceptual process representation
Model Parameterisation
Parameters general from literature or experiments on pathogen decay if available
Input Data Available on CaMMP Catalogue
Yes
Documentation
http://www.reading.ac.uk/geographyandenvironmentalscience/Research/INCA/ges-INCA.aspx

Key References

  • Whitehead P G , Leckie H, Rankinen K , Butterfield D, Futter M.N. and Bussi G. 2016 An INCA Model for Pathogens in Rivers and Catchments: Model Structure, Sensitivity Analysis and Application to the River Thames Catchment in the UK, Science of the Total Environment, doi:10.1016/j.scitotenv.2016.01.128. available at http://www.sciencedirect.com/science/article/pii/S0048969716301267

Input Data

  • Timeseries of hydrological and meteorological driving data: Soil moisture deficit (SMD), hydrologically effective rainfall (HER), rainfall, air temperature. SMD and HER can be derived via a simple spreadsheet-based hydrology model, or from models such as MORECS
  • For model calibration and validation: observed pathogens eg Total Coliforms and hydrology timeseries
  • Land use
  • Fertilizer and manure inputs to different land use types
  • Net plant uptake from different land use types
  • Effluent inputs to river reaches
  • Water abstraction from river reaches
  • GIS-derived sub-catchment characteristics, e.g. stream length, sub-catchment area

Output Data

  • Discharge
  • Time series of flow and pathogens concentrations of river waters, sediments and soils.

Quality Assurance

Developer Testing
Yes
Internal Peer Review
Yes
External Peer Review
Yes
Use of Version Control
Yes
Internal Model Audit
Unknown
External Model Audit
Unknown
Quality Assurance Guidelines and Checklists
Unknown
Governance
Unknown
Transparency
Unknown
Periodic Review
Yes