Nitrogen deposition in the UK at 1 km resolution from 1990 to 2017
Autor: | Ulrike Dragosits, Sam Tomlinson, Anthony J. Dore, E.J. Carnell |
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Rok vydání: | 2021 |
Předmět: |
Nitrogen deposition
QE1-996.5 Resolution (electron density) Geology Atmospheric sciences Atmospheric Sciences Environmental sciences Human health chemistry.chemical_compound Deposition (aerosol physics) chemistry Full data Atmospheric chemistry Data and Information General Earth and Planetary Sciences Environmental science GE1-350 Nitrogen oxide Image resolution |
Zdroj: | Earth System Science Data, Vol 13, Pp 4677-4692 (2021) |
ISSN: | 1866-3516 |
DOI: | 10.5194/essd-13-4677-2021 |
Popis: | An atmospheric chemistry transport model (FRAME) is used here to calculate annual UK N deposition for the years 1990–2017, at a 1 km × 1 km resolution. Reactive nitrogen (N) deposition is a threat that can lead to adverse effects on the environment and human health. In Europe, substantial reductions in N deposition from nitrogen oxide emissions have been achieved in recent decades. This paper quantifies reductions in UK N deposition following the N emissions peak in 1990. In the UK, estimates of N deposition are typically available at a coarse spatial resolution (typically 5 km × 5 km grid resolution), and it is often difficult to compare estimates between years due to methodological changes in emission estimates. Through efforts to reduce emissions of N from industry, traffic, and agriculture, this study predicts that UK N deposition has reduced from 465 kt N in 1990 to 278 kt N in 2017. However, as part of this overall reduction, there are non-uniform changes for wet and dry deposition of reduced N (NHx) and oxidised N (NOy). In 2017, it is estimated 59 % of all N deposition is in the form of reduced N, a change from 35 % in 1990. This dataset uses 28 years of emissions data from 1990 to 2017 to produce the first long-term dataset of 28 years of N deposition at 1 km × 1 km resolution in the UK. Full data are available at https://doi.org/10.5285/9b203324-6b37-4e91-b028-e073b197fb9f (Tomlinson et al., 2020). |
Databáze: | OpenAIRE |
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