Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 5, 2025
Estuaries are nitrous oxide (N2O) emission hotspots and play an important role in the global N2O budget. However, large spatiotemporal variability of complex estuary environments is challenging for large-scale monitoring budget quantification. This study retrieved water environmental variables associated with cycling based on satellite imagery developed a machine learning model concentration estimations. The was adopted China's Pearl River Estuary to assess dynamics as well annual total diffusive emissions between 2003 2022. Results showed significant concentrations emissions. ranged from 0.76 1.09 Gg (0.95 average) over past two decades. Additionally, results seasonal highest contribution during spring (31 ± 3%) lowest autumn (21 1%). Meanwhile, peaked at river outlets decreased outward direction. Spatial contributed 43% while covering 20% area. Finally, SHapley Additive exPlanations (SHAP) adopted, which that temperature salinity, followed by dissolved inorganic nitrogen, were key input features influencing estuarine demonstrates potential remote sensing estimation
Language: Английский