Nitrification and me–A subjective review
W Gujer - Water research, 2010 - Elsevier
Based on the subjective experience of the author it is discussed how the nitrification
processes served as an important basis for the development of today's understanding and …
processes served as an important basis for the development of today's understanding and …
Methodology maps for model-based sensor-data interpretation to support civil-infrastructure management
With increasing urbanization and depleting reserves of raw materials for construction,
sustainable management of existing infrastructure will be an important challenge in this …
sustainable management of existing infrastructure will be an important challenge in this …
Uncertainty analysis in WWTP model applications: a critical discussion using an example from design
This study focuses on uncertainty analysis of WWTP models and analyzes the issue of
framing and how it affects the interpretation of uncertainty analysis results. As a case study …
framing and how it affects the interpretation of uncertainty analysis results. As a case study …
Improving uncertainty estimation in urban hydrological modeling by statistically describing bias
Hydrodynamic models are useful tools for urban water management. Unfortunately, it is still
challenging to obtain accurate results and plausible uncertainty estimates when using these …
challenging to obtain accurate results and plausible uncertainty estimates when using these …
Parameter uncertainty analysis of non-point source pollution from different land use types
Z Shen, Q Hong, H Yu, J Niu - Science of the total environment, 2010 - Elsevier
Land use type is one of the most important factors that affect the uncertainty in non-point
source (NPS) pollution simulation. In this study, seventeen sensitive parameters were …
source (NPS) pollution simulation. In this study, seventeen sensitive parameters were …
Robust system identification and model predictions in the presence of systematic uncertainty
R Pasquier, IFC Smith - Advanced Engineering Informatics, 2015 - Elsevier
Context Model-based data-interpretation techniques are increasingly used to improve the
knowledge of complex system behavior. Physics-based models that are identified using …
knowledge of complex system behavior. Physics-based models that are identified using …
Wastewater treatment modelling: dealing with uncertainties
E Belia, Y Amerlinck, L Benedetti… - Water Science and …, 2009 - iwaponline.com
This paper serves as a problem statement of the issues surrounding uncertainty in
wastewater treatment modelling. The paper proposes a structure for identifying the sources …
wastewater treatment modelling. The paper proposes a structure for identifying the sources …
Consensus versus individual QSARs in classification: comparison on a large-scale case study
Consensus strategies have been widely applied in many different scientific fields, based on
the assumption that the fusion of several sources of information increases the outcome …
the assumption that the fusion of several sources of information increases the outcome …
Parsimonious rainfall–runoff model construction supported by time series processing and validation of hydrological extremes–Part 1: Step-wise model-structure …
P Willems - Journal of Hydrology, 2014 - Elsevier
Common problems faced by rainfall–runoff modellers are data limitation, model
overparameterization and related problems of parameter identifiability. Depending on the …
overparameterization and related problems of parameter identifiability. Depending on the …
Approaches of high-level data fusion, also known as consensus, combine predictions of
individual models to increase reliability and overcome limitations of single models …
individual models to increase reliability and overcome limitations of single models …