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Spatial Assessment of Nitrogen Dioxide (NO 2 ) in Lithuania’s Coastal Zones: A Remote Sensing Approach for Sustainable Urban Planning

Author

Listed:
  • Aistė Andriulė

    (Marine Research Institute, Klaipeda University, H. Manto Str. 84, 92294 Klaipeda, Lithuania)

  • Erika Vasiliauskienė

    (Marine Research Institute, Klaipeda University, H. Manto Str. 84, 92294 Klaipeda, Lithuania
    Business Faculty, Klaipėdos Valstybinė Kolegija/Higher Education Institution, 91274 Klaipeda, Lithuania)

  • Remigijus Dailidė

    (Marine Research Institute, Klaipeda University, H. Manto Str. 84, 92294 Klaipeda, Lithuania)

  • Inga Dailidienė

    (Marine Research Institute, Klaipeda University, H. Manto Str. 84, 92294 Klaipeda, Lithuania
    Technology Department, Lithuanian Business College, 91249 Klaipeda, Lithuania)

Abstract

Nitrogen dioxide (NO 2 ) is a short-lived atmospheric pollutant primarily emitted by road traffic, maritime shipping, and industrial combustion. It is a key indicator of anthropogenic air pollution due to its harmful health effects, its role in the formation of secondary particulate matter, and its strong association with other traffic-related pollutants. Elevated NO 2 concentrations are closely linked to respiratory and cardiovascular diseases, with children and elderly populations being particularly vulnerable due to physiological susceptibility and exposure patterns. This study uses satellite-based remote sensing data to assess the spatial and temporal variability of NO 2 concentrations in the Lithuanian coastal zone and adjacent marine areas. The analysis focuses on identifying spatial patterns of NO 2 concentration distribution, localized pollution hotspots, and their relationships with population distribution. Correlation analysis for the 2022–2024 period revealed a statistically significant negative relationship between NO 2 concentrations and distance from the coastline in inland areas, whereas no statistically significant relationship was observed offshore. NO 2 concentrations at 0 m and 50 m were strongly positively correlated across all spatial domains and seasons (r > 0.98, p < 0.001), indicating consistent vertical spatial patterns. Annual mean NO 2 concentrations were also strongly positively associated with population density (r = 0.81).

Suggested Citation

  • Aistė Andriulė & Erika Vasiliauskienė & Remigijus Dailidė & Inga Dailidienė, 2026. "Spatial Assessment of Nitrogen Dioxide (NO 2 ) in Lithuania’s Coastal Zones: A Remote Sensing Approach for Sustainable Urban Planning," Sustainability, MDPI, vol. 18(6), pages 1-21, March.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:6:p:2839-:d:1892725
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