21/09/2026
I’m excited to share my new open-access paper, “Graph-Derived and Geometric Drivers of Pollutant Dispersion in Urban Environments: Learning from Water Distribution Networks,” published in Computation (MDPI).
In this work, we explore whether topological properties of flow networks — originally inspired by water distribution systems — can help explain how gaseous pollutants disperse through urban environments. Using wind-tunnel data for a representative urban layout, we build a directed flow graph from local velocity fields and compute graph-based metrics such as node degree, betweenness centrality, and topological distances. We then test how well these metrics, together with geometric predictors, explain measured concentration distributions from multiple emission sources.
The paper is open access, so anyone can read it here:
Predicting air pollutant dispersion in complex urban environments traditionally relies on computationally intensive fluid dynamics simulations or empirical Gaussian models. This study explores whether topological network properties—originally derived from fluid flow concepts in pipe networks—can...