NUMERICAL PROGNOSIS OF DISPERSION AND TRANSPORT OF POLLUTANTS IN ROMANIA, BASED ON EMISSIONS OF POLLUTANTS

被引:0
|
作者
Maco, Bogdan Alexandru [1 ,2 ]
Ionac, Nicoleta [1 ]
Tudorache, George [1 ,2 ]
机构
[1] Univ Bucharest, Fac Geog, Bucharest, Romania
[2] Natl Meteorol Adm, Bucharest, Romania
关键词
numerical prognosis; pollutants; emissions; Romania; WRF-CHEM;
D O I
10.2478/pesd-2019-0015
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Air pollution is one of the major problems of mankind, transport of pollutants extending far beyond the borders of the countries where they were produced, causing unpredictable, direct and indirect changes of the environment. The main tool for the study of this phenomenon consists of mathematical modeling of complex physical and chemical phenomena involved. In practice, air emissions are estimated on basis of measurements taken from selected sources being representative of the major categories and types. At national level, the Air Quality Evaluation Center (CECA) provides regular reports to the European Environment Agency (EEA) or the European Commission as requirements of Romania's lawful duties in air quality domain. The registry of emissions TNO/MACC (Netherlands Organisation for Applied Scientific Research/Monitoring Atmospheric Composition and Climate) contains emissions inventories which have been homogenized and checked in advance and obtained from emissions officially reported at sectoral level for each country. In this study, for the analysis of the weather numerical dispersion and transport of pollutants, it has been used the numerical air quality model WRF-CHEM version 3.5, centered over Romania, at the spatial resolution of 10 km, using as input data the TNO emission database for 2009. By interpolating values from the regular grid of the TNO database with the WRF-CHEM model 3.5 grid, monthly average values were obtained for each day of the week, for any parameter considered. Preliminary results obtained for different pollutants (for example: PM10, O-3) confirm the need to validate these results by implementing and integrating air quality forecasting model by assimilating different types of measurements (data model, gravimetric data observations, etc.).
引用
收藏
页码:191 / 200
页数:10
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