Abstract
This study investigates atmospheric ammonia (NH3) and methane (CH4) concentrations in relation to biogas and biomass facilities in Izmir, Türkiye, using satellite-based remote sensing data from 2019 to 2023. NH3 levels were retrieved from IASI instrument, and CH4 from TROPOMI instrument, complemented by meteorological observations and livestock production statistics. Results showed that Izmir exhibited the highest NH3 concentrations across Türkiye, with annual mean levels rising by 43% between 2019 and 2023, and 2023 wintertime NH3 nearly doubling relative to 2019. CH4 concentrations also displayed marked increases, particularly after 2021, with maxima recorded in 2022–2023. Spatial and seasonal analyses revealed a persistent hotspot in the inland basin surrounded by the Bozdag Mountains, where intensive livestock farming and multiple biogas facilities are concentrated. Within a 12 km radius of three plants (B64, B67, B68), NH3 concentrations rised following their operating, though overlap between neighbouring facilities complicates source attribution. While livestock farming and agricultural waste remain the dominant drivers, these findings indicated that biogas and biomass plants may also contribute to elevated NH3 and CH4 concentrations in their vicinity. These results emphasized the importance of balancing the renewable energy benefits of biogas expansion with its potential atmospheric impacts in Türkiye.
| Original language | English |
|---|---|
| Pages (from-to) | 71-76 |
| Number of pages | 6 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 48 |
| Issue number | 4/W18-2025 |
| DOIs | |
| Publication status | Published - 27 Jan 2026 |
| Event | 2025 Symposium on GeoSpatial Technologies: Visions and Horizons, GeoVisions 2025 - Canakkale, Turkey Duration: 8 Oct 2025 → 10 Oct 2025 |
Bibliographical note
Publisher Copyright:© Author(s) 2026. CC BY 4.0 License.
Keywords
- ammonia
- biogas facilities
- Izmir
- methane
- Remote sensing
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