Abstract
Atmospheric deposition of phosphorus (P) has multitudes of environmental implications, but quantifying and validating its spatial and temporal patterns remain highly challenging. Here, we integrated a detailed P emission inventory with atmospheric chemistry transport modeling and a temporally augmented mass-conserving downscaling approach to estimate terrestrial P deposition at 0.1° resolution during 2000–2019. The results reveal a 16.5% increase in global terrestrial P deposition, from 174.6 g ha–1 yr–1 (2.31 Tg yr–1) in 2000 to 202.6 g ha–1 yr–1 (2.69 Tg yr–1) in 2019. Among the natural sources, mineral dust predominated with emissions ranging from 1.31 to 1.50 Tg P yr–1, followed by primary biological aerosol particles (0.14–0.15 Tg P yr–1). Among anthropogenic sources, emissions were led by fossil fuel (1.12–1.62 Tg P yr–1) and biofuel combustion (0.39–0.52 Tg P yr–1), which significantly exceeded contributions from agricultural activities (0.07–0.10 Tg P yr–1). Spatially, the net global increase in P deposition was primarily driven by increased anthropogenic emissions in China (+4.09% per year) and India (+2.98% per year), which outpaced concurrent P emission reductions in the US (−0.40% per year) and Europe (−0.04% per year). Despite the implementation of a series of clean air policies in the two countries, anthropogenic P emissions continued to climb or level off, underscoring the need for systematic monitoring to mitigate potential environmental risks.
| Original language | English |
|---|---|
| Pages (from-to) | 10850-10860 |
| Number of pages | 11 |
| Journal | Environmental Science and Technology |
| Volume | 60 |
| Issue number | 14 |
| DOIs | |
| State | Published - 14 Apr 2026 |
Keywords
- GEOS-chem
- anthropogenic activities
- downscaling
- machine learning
- phosphorus deposition
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