Automatic Model Structure Identification for Conceptual Hydrologic Models

Conceptual Microarchitectures for Hydrologic Simulation Models

Application of a Conceptual Hydrologic Model in Teaching Hydrologic Processes*

In this study, a hands-on modeling tool is developed for students in civil engineering and earth science disciplines to help them learn the fundamentals of hydrologic processes and basic concepts of model calibration and sensitivity analysis, and practice conceptual thinking in solving and analysis of engineering problems. This modeling tool aims to provide an interdisciplinary application-orie...

Automatic improvement of conceptual models

Modeling dynamic processes can be a complex task. This paper presents a method for automated assistance during a conceptual modeling proces. The assistance consists of one or more suggested improvements to a model. It uses a search algorithm to search the space of possible models. The algorithm can traverse the search space by modifying the current model following a set of strict modification r...

Automatic Knowledge Retrieval from Conceptual Models

Conceptual models are an important repository for knowledge in companies and public institutions. The retrieval of this knowledge can prepare reorganisations projects and support IT investment decisions. However, so far this information source has hardly been utilized in automated analyses. We argue that if modelling languages are endowed with specific characteristics the resulting models can b...

On the optimal design of experiments for conceptual and predictive discrimination of hydrologic system models

Experimental design and data collection constitute two main steps of the iterative research cycle (aka the scientific method). To help evaluate competing hypotheses, it is critical to ensure that the experimental design is appropriate and maximizes information retrieval from the system of interest. Scientific hypothesis testing is implemented by comparing plausible model structures (conceptual ...