PREDICTION OF FINE PARTICULATE MATTER IN LOW-EMISSION ZONES USING A MODIFIED NUMERICAL METHOD FOR A SYSTEM OF ORDINARY DIFFERENTIAL EQUATIONS

IF 0.5 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Transport Problems Pub Date : 2022-09-30 DOI:10.20858/tp.2022.17.3.17
A. Asenov, I. Georgiev, V. Pencheva, Kremena Mineva
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引用次数: 1

Abstract

Currently, many European cities have severely exceeded the EU air quality standards and are struggling with high concentrations of fine particulate matter PM10 and PM2.5 in the air, with road transport often being one of the major polluters. One of the forms for correction of the problem that many cities in the EU are currently using is the construction of low-emission zones. For the prediction of PM10 and PM2.5, a modified numerical method for a system of ordinary differential equations has been proposed. In the right part of this system, in addition to the main trend and the periodicity of PM10 and PM2.5, their correlation is taken into account. Against the background of the best solution obtained, a forecast is made for the emission levels in a period of one week in the town of Ruse.
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用常微分方程组的修正数值方法预测低排放区细颗粒物
目前,欧洲许多城市的空气质量严重超过欧盟标准,空气中存在高浓度的细颗粒物PM10和PM2.5,而道路运输往往是主要污染源之一。欧盟许多城市目前正在采用的一种纠正这一问题的形式是建设低排放区。针对PM10和PM2.5的预测,提出了一种常微分方程组的修正数值方法。在该系统的右侧,除了PM10和PM2.5的主要趋势和周期性外,还考虑了它们的相关性。在获得最佳解决方案的背景下,对Ruse镇一周内的排放水平进行了预测。
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来源期刊
Transport Problems
Transport Problems TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
1.90
自引率
14.30%
发文量
55
审稿时长
48 weeks
期刊介绍: Journal Transport Problems is a peer-reviewed open-access scientific journal, owned by Silesian University of Technology and has more than 10 years of experience. The editorial staff includes mainly employees of the Faculty of Transport. Editorial Board performs the functions of current work related to the publication of the next issues of the journal. The International Programming Council coordinates the long-term editorial policy the journal. The Council consists of leading scientists of the world, who deal with the problems of transport. This Journal is a source of information and research results in the transportation and communications science: transport research, transport technology, transport economics, transport logistics, transport law.
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