Abstract
Urban environments are significant contributors to environmental pollution through surface discharge and atmospheric deposition. These emissions originate from diverse sources, including transportation, industrial brownfields, wastewater treatment facilities, and contaminated air masses. This pollution encompasses a wide range of anthropogenic contaminants such as organic chemicals, petroleum hydrocarbons, solvents, toxic metals, and metalloids, making it a complex global issue. We address this challenge by focusing on the quantification and analysis of urban pollution fluxes in both spatial and temporal contexts. Specifically, the project targets urban, near-coastal, and industrial sites, aiming to develop advanced solutions for data-driven environmental modeling, which are crucial for effective green infrastructure planning. A critical aspect of study is the concept of the "urban halo" effect, wherein pollutants originating within cities extend beyond their boundaries, impacting surrounding ecosystems. This phenomenon is influenced by the nature of the contaminants and their mode of entry into the environment. The project employs two primary approaches to urban hydrological modeling: one examines the influence of urbanization within a defined catchment area, while the other constructs hydrological models with specific boundary settings. Both approaches facilitate a deeper understanding of pollution dynamics and their interactions with climate variables.
The overarching objective is to achieve a comprehensive assessment of the interactions between urban pollutants and climate dynamics, thereby advancing our understanding of geochemical fluxes under changing climate conditions. By leveraging this knowledge, the project aims to develop data-driven predictive environmental models, supporting the design and implementation of resilient green infrastructure strategies. These outcomes will not only enhance pollution management but also promote sustainable urban development in vulnerable regions.