Use this URL to cite or link to this record in EThOS:
Title: Modelling stream phosphorus in rural areas : improving on current approaches
Author: Jackson-Blake, Leah A.
ISNI:       0000 0004 6499 1878
Awarding Body: University of Reading
Current Institution: University of Reading
Date of Award: 2016
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Restricted access.
Access from Institution:
Process-based, catchment-scale water quality models are important tools to help answer key questions facing water managers today. However, for model results to be useful models must capture the dominant processes, it must be possible to calibrate them using available data and good modelling practice guidelines must be followed. The work presented here contributes to the development of robust phosphorus (P) modelling tools, starting with a detailed examination of one popular and representative model, INCA-P. INCA-P was applied in a Scottish agricultural catchment, where manual calibration and sensitivity testing were combined with auto-calibration and uncertainty analyses to investigate: (J) the suitability ofthe process-representation; (2) whether model parameters could be constrained using available data; and (3) uncertainty in model output. Problems were identified with the particulate P and soil dissolved P processes, leading to the development of a new version of INCA-P, and suggestions were made for simplifications to the model structure. Model calibration using routine regulatory monitoring data led to highly uncertain output, suggesting that the model is (00 complex given the data availability in most areas, reducing its usefulness for water management. The same is likely to be true for other popular water quality models. To investigate issues of over complexity, a new simple model was developed, SimplyP. SimplyP performed as INCA-P in the study catchment, despite substantially simpler process-representation (e.g. 28 parameters, compared to INCA-P's 148), supporting the hypothesis that the current generation of dynamic water quality models are too complex. Simpler models, such as SimplyP, have the potential to be more useful water management and research tools, building blocks for future model development, or performance benchmarks against which more complex models could be evaluated.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available