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Comparison of Ammonia Emission Estimation between Passive Sampler and Chamber System in Paddy Soil after Fertilizer Application

Ammonia (NH(3)) is an important precursor for particulate secondary aerosol formation. This study was conducted to evaluate the applicability of a passive sampler (PAS) for estimating the NH(3) emission from chemical fertilizer application (85 kg-N·ha(−1)) at field scale and to compare the results w...

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Detalles Bibliográficos
Autores principales: Kim, Min-Suk, Koo, Namin, Hyun, Seunghun, Kim, Jeong-Gyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504389/
https://www.ncbi.nlm.nih.gov/pubmed/32887283
http://dx.doi.org/10.3390/ijerph17176387
Descripción
Sumario:Ammonia (NH(3)) is an important precursor for particulate secondary aerosol formation. This study was conducted to evaluate the applicability of a passive sampler (PAS) for estimating the NH(3) emission from chemical fertilizer application (85 kg-N·ha(−1)) at field scale and to compare the results with a chamber system for the calculation of NH(3) emission flux at lab scale. The application of chemical fertilizer increased the ambient NH(3) concentration from 7.11 to 16.87 μg·m(−3). Also, the ambient NH(3) concentration measured by the PAS was found to be highly influenced by not only the chemical fertilizer application but also the weather (temperature and rainfall). Wind rose diagram data can be useful for understanding the distribution of ambient NH(3) concentration. In the case of a chamber with few environmental variables, NH(3) was emitted very quickly in the early stages and gradually decreased, whereas it was delayed at intervals of about one week at the site. It was found that daily temperature range, atmospheric disturbance by wind and rainfall, changes in soil moisture, and the presence of a flooded water table were the main influencing factors. The PAS data and the chamber system data were observed to have significant differences in spatial-temporal scale. In order to reduce the gap, it seems to be necessary to further develop a chamber system, in order to improve the precision of field analysis and to strengthen the connection between experimental results.