应用WRF-CMAQ模型评估保加利亚2016年和2017年的硫和氮沉积

IF 0.5 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
D. Syrakov, M. Prodanova, E. Georgieva, E. Hristova
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引用次数: 2

摘要

使用WRF-CMAQ(9公里网格分辨率),对2016年和2017年保加利亚的硫(S)和氮(N)的湿、干和总沉积进行了年度和季节性模拟。湿沉积的年平均值约为1,300公斤。km-2时,S的干沉积量略低,N的干沉积量显著低(180 kg.km-2)。最高的模拟湿沉积在该国的西部和西南部,最高的模拟干沉积在北部和东部。三个地点的湿沉积与降水化学数据的比较表明高估了。应用于模拟沉积的降水偏差调整导致归一化平均偏差减少3倍。还提供了与该国该地区文献中模拟沉积数据的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying WRF-CMAQ models for assessment of sulphur and nitrogen deposition in Bulgaria for the years 2016 and 2017
Wet, dry and total depositions of sulphur (S) and nitrogen (N) in Bulgaria are simulated on an annual and seasonal basis for the years 2016 and 2017 using WRF-CMAQ (9 km grid resolution). The mean annual values for wet depositions are about 1,300 kg.km–2, the dry depositions are slightly lower for S and significantly lower for N (180 kg.km–2). The highest modelled wet depositions are in the western and south-western parts of the country, the highest dry depositions – in the northern and eastern parts. The comparison for the wet depositions at three sites with precipitation chemistry data indicates overestimation. A precipitation bias adjustment applied to the modelled depositions results in decrease of the normalised mean bias by a factor of 3. Comparison to modelled deposition data from literature for this region of the country is also provided.
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
3
审稿时长
4.5 months
期刊介绍: IJEP provides an international forum in the field of environment and pollution and addresses early and medium-term challenges involving scientific prediction, modelling and assessment. It focuses on ground-breaking research in the science of environmental pollution, at the early scientific stage. It is one of three key journals which together offer complete coverage of environmental issues: IJETM focuses on technical/engineering, policy and management solutions for environmental problems, and IJGEnvI focuses on future, longer-term environmental scenarios, ecological economics, climate change and biodiversity.
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