Graph-Derived and Geometric Drivers of Pollutant Dispersion in Urban Environments: Learning from Water Distribution Networks
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 directly account for sp...