Browsing by Author "Shucksmith, James"

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    Briefing: Negotiating value at the research–practice interface in the water sector
    (Thomas Telford (ICE Publishing), 2015-09-01) Jeffrey, Paul; McAdam, Ewan J.; Templeton, Michael R.; Savic, Dragan; Shucksmith, James; Amezaga, Jaime; Gormey-Gallagher, Aine
    Lessons from experiences of managing an engineering doctorate programme are delineated in this paper, with particular emphasis on the relationship between research and practice. The paper reports on applied, practice-oriented research at the UK's industrial doctoral centre for the water sector. A descriptive account of the negotiating value at the research–practice interface is presented based on decades of collective practice, during which the engineering doctorate model has matured and grown. Conclusions focus on recommendations pertaining to project management, knowledge transfer and the effective and consistent translation of academic and practitioner project details.
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    Recent insights on uncertainties present in integrated catchment water quality modelling
    (Elsevier, 2018-12-05) Tscheikner-Gratl, Franz; Bellos, Vasilis; Schellart, Alma; Moreno-Rodenas, Antonio; Muthusamy, Manoranjan; Langeveld, Jeroen; Clemens, Francois; Benedetti, Lorenzo; Rico-Ramirez, Miguel Angel; Fernandes de Carvalho, Rita; Breuer, Lutz; Shucksmith, James; Heuvelink, Gerard B. M.; Tait, Simon
    This paper aims to stimulate discussion based on the experiences derived from the QUICS project (Quantifying Uncertainty in Integrated Catchment Studies). First it briefly discusses the current state of knowledge on uncertainties in sub-models of integrated catchment models and the existing frameworks for analysing uncertainty. Furthermore, it compares the relative approaches of both building and calibrating fully integrated models or linking separate sub-models. It also discusses the implications of model linkage on overall uncertainty and how to define an acceptable level of model complexity. This discussion includes, whether we should shift our attention from uncertainties due to linkage, when using linked models, to uncertainties in model structure by necessary simplification or by using more parameters. This discussion attempts to address the question as to whether there is an increase in uncertainty by linking these models or if a compensation effect could take place and that overall uncertainty in key water quality parameters actually decreases. Finally, challenges in the application of uncertainty analysis in integrated catchment water quality modelling, as encountered in this project, are discussed and recommendations for future research areas are highlighted.