Near‐Equal Agricultural and Non‐Agricultural Contributions to Atmospheric Ammonia in the Erhai Lake Basin, China: Evidence From δ 15 N Isotope‐Based Source Apportionment

环境科学 分摊 农业 生物量(生态学) 生态系统 沉积(地质) 水生生态系统 构造盆地 排放清单 生物质燃烧 大气科学 水文学(农业) 航程(航空) 硝酸盐 肥料 流域 非点源污染 陆地生态系统 污染 稳定同位素比值 空气污染 湿地 牲畜
作者
Jiahui Kang,Yuepeng Pan,Sijie Feng,Chenxi Yao,Xiaoyun Du,Qikun Shen,Bowen Tang,Mathew R. Heal,Xuejun Liu,Wen Hai Xu
出处
期刊:Journal of Geophysical Research [American Geophysical Union]
卷期号:131 (12) 被引量:1
标识
DOI:10.1029/2025jd045536
摘要

Abstract Atmospheric ammonia (NH 3 ) deposition poses a threat to aquatic ecosystems by contributing to eutrophication, particularly in vulnerable alpine lakes. While emission inventories prioritize agricultural sources, the role of non‐agricultural emissions remains poorly quantified in many regions. We present a high‐resolution source apportionment of atmospheric NH 3 in the Erhai Lake Basin in China, integrating a dense monitoring network (45 sites across six land‐use types) with δ 15 N isotope signatures and Bayesian mixing modeling. A localized δ 15 N‐NH 3 source fingerprint library was established from seven specific sources and grouped into five end‐member categories: agricultural (fertilizer and livestock) and non‐agricultural (waste, transportation, and biomass burning). The results reveal strong spatiotemporal variability with NH 3 concentrations peaking in farmland (13.58 ± 6.92 μg m −3 ) and a wide δ 15 N range (−26.84‰ to +3.86‰) that enabled clear source discrimination. The model quantified near‐equal contributions from agricultural (approximately 51%) and non‐agricultural (approximately 49%) sources at the basin scale. Fertilizer was the largest individual source (31 ± 4%), followed by livestock (20 ± 4%), waste (19 ± 4%), transportation (16 ± 2%), and biomass burning (14 ± 2%). The overall source structure remained robust across different isotopic fractionation scenarios. This study indicates that non‐agricultural emissions are a co‐dominant source of atmospheric NH 3 , suggesting that conventional inventories may underestimate their contributions and underscoring the need for integrated, cross‐sectoral mitigation strategies in sensitive lake basins.
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