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Impacts of Built-Up Area Geometry on PM10 Levels: A Case Study in Brno, Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F20%3A00117260" target="_blank" >RIV/00216224:14310/20:00117260 - isvavai.cz</a>

  • Alternative codes found

    RIV/60162694:G42__/20:00556135

  • Result on the web

    <a href="https://doi.org/10.3390/atmos11101042" target="_blank" >https://doi.org/10.3390/atmos11101042</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/atmos11101042" target="_blank" >10.3390/atmos11101042</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Impacts of Built-Up Area Geometry on PM10 Levels: A Case Study in Brno, Czech Republic

  • Original language description

    This paper presents a statistical comparison of parallel hourly measurements of particulate matter smaller than 10 mu m (PM10) from two monitoring stations that are located 560 m from each other in the northern part of Brno City. One monitoring station is located in a park, the other in a built-up area. The authors' aim is to describe the influence of a built-up area geometry and nearby traffic intensity on modeling of PM10 pollution levels in the respective part of Brno. Furthermore, the purpose of this study is also to examine the influence of meteorological factors on the pollution levels; above all, to assess the influence of wind speed and direction, temperature change, and humidity change. In order to evaluate the obtained data, the following methods of mathematical statistics were applied: descriptive statistics, regression analysis, analysis of variance, and robust statistical tests. According to the results of the Passing-Bablok test, it can be stated that the parallel measurements of PM10 are significantly different. A regression model for PM10 pollution prediction was created and tested in terms of applicability; subsequently, it was used in order to compare measurements from both stations. It shows that in addition to the monitored meteorological factors, pollution levels are influenced mainly by traffic intensity and the geometry of the monitored built-up area.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10500 - Earth and related environmental sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Atmosphere

  • ISSN

    2073-4433

  • e-ISSN

    2073-4433

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    19

  • Pages from-to

    1-19

  • UT code for WoS article

    000584043800001

  • EID of the result in the Scopus database

    2-s2.0-85092708092