Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Uncertainty in the environmental modelling process - A framework and guidance
Environmental Modelling & Software
Water quality modelling for small river basins
Environmental Modelling & Software
Improving the spectral unmixing algorithm to map water turbidity Distributions
Environmental Modelling & Software
Assessment of data availability influence on integrated urban drainage modelling uncertainty
Environmental Modelling & Software
Dynamic multi-compartmental modelling of metal bioaccumulation in fish: Identifiability implications
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Technical assessment and evaluation of environmental models and software: Letter to the Editor
Environmental Modelling & Software
Hi-index | 0.00 |
In urban drainage, new computational possibilities have supported the development of new integrated approaches aimed at joint water quantity and quality analysis of the whole urban drainage system. Although the benefit of an integrated approach has been widely demonstrated, to date, several aspects prevent its applicability such as scarce availability of field data if compared with model complexity. These aspects sometimes prevent the correct estimation of parameters thus leading to large uncertainty in modelling response. This is a typical parameter identifiability problem that is discussed in the present paper evaluating the effect of identifiability procedures in increasing operator confidence in modelling results. The methodology presented has been applied to a home-made integrated urban drainage model that has been calibrated/validated considering field data collected in the Savena experimental catchment (Bologna, Italy). The results demonstrate the effectiveness of the identifiability analysis in obtaining a tool for urban integrated modelling applications and field data gathering campaigns.