Unravelling metal mobility under complex contaminant signatures

Unravelling daily human mobility motifs.

Human mobility is differentiated by time scales. While the mechanism for long time scales has been studied, the underlying mechanism on the daily scale is still unrevealed. Here, we uncover the mechanism responsible for the daily mobility patterns by analysing the temporal and spatial trajectories of thousands of persons as individual networks. Using the concept of motifs from network theory, w...

Appendix E Contaminant Persistence and Mobility Factors

Appendix E Contaminant Persistence and Mobility Factors

Systems Biology: unravelling complex networks?

In this paper we discuss the background and challenges inherent in analysing biological systems from a data driven perspective. We focus on networks arising in cell biology, which, from a mathematical viewpoint, can be studied with the tools of applied graph theory. In particular we discuss how taking a systems biology approach necessitates o the development of alternative, high level (top down...

Contaminant transport models under random sources.

While the discussion of model uncertainty has centered on spatial heterogeneity, it is possible that ground water models have not enjoyed much success as predictive tools often because the sources that were eventually imposed in the field differed from those represented in the simulations. This is because deterministic prediction of future conditions is often inaccurate due to the random nature...