| SYS | | 0325205 |
|---|
| LBL | | -----naa--22--------450- |
|---|
| 005 | | 20240131101435.1 |
|---|
| 014 | | $a 001130846300001 $2 CCC |
|---|
| 014 | | $a 001130846300001 $2 WOS CC. SCIE |
|---|
| 014 | | $a 001130846300001 $2 WOS CC. SSCI |
|---|
| 017 | 70 | $a 10.3390/su152416735 $2 DOI |
|---|
| 035 | | $a biblio/1116281 $2 CREPC2 |
|---|
| 100 | | $a 20231215d2023 m y slo 03 ba |
|---|
| 101 | 0- | $a eng |
|---|
| 102 | | $a CH |
|---|
| 200 | 1- | $a A multi-country statistical analysis covering Turkey, Slovakia, and Romania in an educational framework $f Tugce Pekdogan ... [et al.] |
|---|
| 215 | | $9 0,34 |
|---|
| 330 | | $a This paper uses hierarchical regression analysis, a statistically robust method, to explore the correlations between two meteorological parameters and three particulate matter concentrations. The dataset is provided by six sensors located in three cities from three countries, and the measure- ments were taken simultaneously for three months at each minute. Analyses and calculations were performed with the Statistical Package for the Social Sciences (SPSS). The results underscore that the complexity of air pollution dynamics is affected by the location even when the same type of sensors is used, and emphasize that a one-size-fits-all approach cannot effectively address air pollution. The findings are helpful from three perspectives: for education, to show how to handle and communicate a solution for local communities’ issues about air pollution; for research, to understand how easy a university can generate and analyze open-source data; and for policymakers, to design targeted interventions addressing each country’s challenges. |
|---|
| 463 | -1 | $1 001 umb_un_cat*0325596 $1 011 $a 2071-1050 $1 200 1 $a Sustainability $v Vol. 15, no. 24 (2023), pp. [1-16] $1 210 $a Basel $c Multidisciplinary Digital Publishing Institute $d 2023 |
|---|
| 606 | 0- | $3 umb_un_auth*0197850 $a meteorologické prvky |
|---|
| 606 | 0- | $3 umb_un_auth*0092581 $a regresná analýza $X regression analysis |
|---|
| 606 | 0- | $3 umb_un_auth*0110555 $a zdravie človeka |
|---|
| 606 | 0- | $3 umb_un_auth*0134376 $a častice (fyzika) |
|---|
| 606 | 0- | $3 umb_un_auth*0226986 $a znečistenie ovzdušia $X air pollution |
|---|
| 607 | -1 | $3 umb_un_auth*0036119 $a Slovensko $X Slovakia $X Slovak Republic |
|---|
| 607 | -1 | $3 umb_un_auth*0100335 $a Turecko $X Turkey |
|---|
| 607 | -1 | $3 umb_un_auth*0099560 $a Rumunsko $X Romania |
|---|
| 608 | | $3 umb_un_auth*0273282 $a články $X journal articles |
|---|
| 700 | -1 | $3 umb_un_auth*0302374 $a Pekdogan $b Tugce $4 070 $9 20 |
|---|
| 701 | -1 | $3 umb_un_auth*0302375 $a Tinca Udriştioiu $b Mihaela $9 20 $4 070 |
|---|
| 701 | -1 | $3 umb_un_auth*0302348 $a Puiu $b Silvia $4 070 $9 20 |
|---|
| 701 | -1 | $3 umb_un_auth*0302376 $a Yildizhan $b Hasan $4 070 $9 20 |
|---|
| 701 | -0 | $3 umb_un_auth*0007371 $a Hruška $b Martin $f 1974- $p UMBFP06 $4 070 $9 20 $T Katedra fyziky |
|---|
| 801 | | $a SK $b BB301 $g AACR2 $9 unimarc sk |
|---|
| 856 | | $u https://www.mdpi.com/2071-1050/15/24/16735 $a Link na plný text |
|---|
| T85 | | $x existuji fulltexy |
|---|
