Exploring Input Parameter Effects on Air Pollution Dispersion Models: Uncertainty and Implications for Environmental Assessments in Urban Infrastructures

• DOI: 10.20944/preprints202401.1230.v1
• Publication Date: 2024-01-17T04:18:56Z
• Authors: Alexandros G. Kou...; Athena G. Progiou; Ioannis Sebos; Andreas G. Boudouvis

Air pollution poses a significant risk to public health and ecosystems. The use of sophisticated models simulate the transformation dispersion pollutants in atmosphere is recognized method assess air levels its sources inform policy decisions for effective mitigation strategies urban industrial environments. reliability depends, part, on sensitivity variance input parameters, which can introduce uncertainty into model's predictions. This especially challenging when parameters exhibit inherent variability. In this study, we analyse an integrated emission/dispersion model by evaluating relationship between outcomes. We uncover new aspects while clarifying some previously known dependencies. Wind speed was found have most effect calculated concentrations, with small differences leading substantial concentration variations. time day, reflects prevailing vertical turbulence conditions, also notable impact whereas ambient temperature significantly influence model’s results. Based these findings, offer specific recommendations regulators scientists involved environmental assessment improve accuracy modelling.