Simulation of Air Pollution by Carbon Monoxide in Kislovodsk: Effects of Orography and Vehicle Emission Correction

IF 0.7 Q4 OPTICS
M. I. Nakhaev, V. A. Semenov, A. V. Chernokulsky, I. B. Belikov, V. A. Belousov, A. Yu. Artamonov
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Abstract

Simulation of air pollution in mountainous regions is difficult due to the complex interaction of orography with atmospheric dynamics and uncertainty in anthropogenic emission. This paper discusses simulation of atmospheric pollution by carbon monoxide (CO) in complex mountainous terrain for the case of Kislovodsk region with the use of the mesoscale meteorological model WRF and the chemical transport model CHIMERE. The results are validated against instrumental measurements at the High-Mountain Scientific Station of A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences. It is shown that refining the EMEP emission database by incorporating local features of the road network (density and road types) and their daily/weekly dynamics enables the spatial distribution of pollution sources to more closely approximate the actual layout of the regional road network and improves the accuracy of reproducing the daily cycle of CO concentrations. The contribution of orographic factors to the total pollution has been assessed. It is ascertained that the complex terrain of the region accounts for 20–50% of the average CO concentration level and creates zones of pollutant accumulation and dispersion. The statistical analysis shows satisfactory agreement between the simulation results and observations. The study confirms the feasibility and efficiency of the WRF-CHIMERE system in monitoring and analyzing atmospheric air quality in resort regions with complex orography. The results can serve a foundation for fundamental and applied scientific research aimed at studying the causes of periods with adverse environmental conditions. The air quality simulation can be used by local government authorities for urban planning, road network optimizing, developing recreational areas with allowance for orography, and improving regional environmental monitoring systems.

Abstract Image

基斯洛沃茨克一氧化碳空气污染模拟:地形和车辆排放校正的影响
由于地形与大气动力学的复杂相互作用以及人为排放的不确定性,山区大气污染的模拟是困难的。本文利用中尺度气象模式WRF和化学输运模式CHIMERE,讨论了以基斯洛沃茨克地区为例的复杂山区大气CO污染的模拟。结果与高山站的仪器测量结果进行了对比验证俄罗斯科学院奥布霍夫大气物理研究所。结果表明,通过纳入路网的局部特征(密度和道路类型)及其日/周动态来细化EMEP排放数据库,可以使污染源的空间分布更接近区域路网的实际布局,提高了CO浓度日循环的再现精度。评价了地形因子对总污染的贡献。确定了该地区复杂的地形占平均CO浓度水平的20-50%,并形成了污染物积聚和分散的区域。统计分析表明,模拟结果与观测值吻合较好。研究证实了WRF-CHIMERE系统在复杂地形度假区大气质量监测分析中的可行性和有效性。该结果可为旨在研究不利环境条件时期成因的基础和应用科学研究奠定基础。空气质量模拟可以被地方政府当局用于城市规划、优化道路网络、开发考虑地形因素的休闲区,以及改进区域环境监测系统。
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来源期刊
CiteScore
2.40
自引率
42.90%
发文量
84
期刊介绍: Atmospheric and Oceanic Optics  is an international peer reviewed journal that presents experimental and theoretical articles relevant to a wide range of problems of atmospheric and oceanic optics, ecology, and climate. The journal coverage includes: scattering and transfer of optical waves, spectroscopy of atmospheric gases, turbulent and nonlinear optical phenomena, adaptive optics, remote (ground-based, airborne, and spaceborne) sensing of the atmosphere and the surface, methods for solving of inverse problems, new equipment for optical investigations, development of computer programs and databases for optical studies. Thematic issues are devoted to the studies of atmospheric ozone, adaptive, nonlinear, and coherent optics, regional climate and environmental monitoring, and other subjects.
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