288 Integrated Assessment of Quarry-Derived Dust Dispersion Based on Atmospheric and Oceanic Transport R. Itano1, N. Okada1, Y. Ohtomo1, V. Sanchez1, H. Kuroda2, S. Arciniegas3, Y. Kawamura1 1Division of Sustainable Resources Engineering, Graduate School of Engineering, Hokkaido University, Nishi-8, Kita-13, Sapporo, 060-8628, Japan (*Presenting author: itano.riyou.g2@elms.hokudai.ac.jp) 2Institute of Low Temperature Science, Hokkaido Unniversity, Nishi-8, Kita-19, Sapporo, 060-0819, Japan 3Mining Department, Faculty of Engineering in Geology, Mining, Petroleum and Environmental, Central University of Ecuador, Av. Universitaria, Quito, 170129, Ecuador ABSTRACT The Galápagos Islands are widely recognized for their unique ecosystems, serving as a microcosm of the global environment where land-sea interactions are concentrated on a limited island scale. Historically reliant on self-sufficiency due to their remote location, the archipelago has seen non-metallic mining activities emerge on islands such as Santa Cruz and San Cristóbal to support local development and meet infrastructure needs. While Environmental Impact Assessments (EIAs) are standard practice, they often treat terrestrial or the marine domain in isolation. Consequently, a comprehensive framework for evaluating the integrated impacts of mining development on both land and sea in the Galápagos Islands has not yet been established. This study develops an integrated land–sea modeling framework to evaluate the dispersion of particulate matter (PM) from the Cerro Quemado quarry on San Cristóbal Island. Using ERA5 atmospheric reanalysis data, wind conditions were analyzed for warm (February–May) and cold (July–October) seasons from 2020 to 2024. The cold season exhibited highly stable southeasterly trade winds with a dominant transport direction centered at 344°, and wind speeds ranging primarily between 4.5–7.5 m s⁻¹. Under these conditions, theoretical atmospheric transport distances for PM₁₀ particles reached up to 62km. Furthermore, marine dispersion simulations—driven by GLORYS12 ocean current data and Lagrangian particle tracking— revealed that a portion of PM10 particles could reach the neighboring Santa Cruz Island around 24 hours after entering the marine environment. All model outputs were integrated into a 3D geospatial digital twin, enabling visualization of cross-domain transport processes. This platform supports quantitative assessment of maximum transport distances, residence times, and deposition patterns under seasonal conditions. The framework provides a reproducible basis for coupling dust emissions with marine exposure in island environments.
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