Ammonia emissions in Europe, part I: Development of a dynamical ammonia emission inventory

被引：54
作者：
Backes, Anna [1 ]
Aulinger, Armin [1 ]
Bieser, Johannes [1 ,2 ]
Matthias, Volker [1 ]
Quante, Markus [1 ]
机构：
[1] Helmholtz Zentrum Geesthacht, Inst Coastal Res, Max Planck Str 1, D-21502 Geesthacht, Germany
[2] Deutsch Zentrum Luft & Raumfahrt DLR, Inst Phys Atmosphare, D-82234 Oberpfaffenhofen, Wessling, Germany
来源：
ATMOSPHERIC ENVIRONMENT | 2016年 / 131卷
关键词：
PARTICULATE MATTER; AIR-QUALITY; MODEL; AGRICULTURE; NITROGEN; PARAMETERIZATION;
D O I：
10.1016/j.atmosenv.2016.01.041
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Nitrogen input from agricultural ammonia emissions into the environment causes numerous environmental and health problems. The purpose of this study is to present and evaluate an improved ammonia emission inventory based on a dynamical temporal parameterization suitable to compare and assess ammonia abatement strategies. The setup of the dynamical time profile (DTP) consists of individual temporal profiles for ammonia emissions, calculated for each model grid cell, depending on temperature, crop type, fertilizer and manure application, as well as on local legislation. It is based on the method of Skjoth et al., 2004 and Gyldenkaerne et al., 2005. The method has been modified to cover the study area and to improve the performance of the emission model. To compare the results of the dynamical approach with the results of the static time profile (STP) the ammonia emission parameterizations have been implemented in the SMOKE for Europe emission model. Furthermore, the influence on secondary aerosol formation in the North Sea region and possible changes triggered through the use of a modified temporal distribution of ammonia emissions were analysed with the CMAQ chemistry transport model. The results were evaluated with observations of the European Monitoring and Evaluation Programme (EMEP). The correlation coefficient of NH3 improved significantly for 12 out of 16 EMEP measurement stations and an improvement in predicting the Normalized Mean Error can be seen for particulate NH4+ and NO3-. The prediction of the 95th percentile of the daily average concentrations has improved for NH3, NH4+ and NO3- The NH3 concentration modelled with the STP is 157% higher in winter, and about 22% lower in early summer than the one modelled with the new DTP. Consequently, the influence of the DTP on the formation of secondary aerosols is particularly noticeable in winter, when the PM2,5 concentration is 25% lower in comparison to the use of STP for temporal disaggregation. Besides, the formation of particulate SO42- is not influenced by the use of the DTP. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：55 / 66
页数：12
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