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 …

With increasing urbanization and depleting reserves of raw materials for construction,
sustainable management of existing infrastructure will be an important challenge in this …

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 …

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 …

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 …

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 …

Context Model-based data-interpretation techniques are increasingly used to improve the
knowledge of complex system behavior. Physics-based models that are identified using …

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 …

Common problems faced by rainfall–runoff modellers are data limitation, model
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 …