dc.contributor.author | Daugėla, Ignas | |
dc.contributor.author | Sužiedelytė Visockienė, Jūratė | |
dc.contributor.author | Skeivalas, Jonas | |
dc.date.accessioned | 2023-09-18T20:36:14Z | |
dc.date.available | 2023-09-18T20:36:14Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 1898-6196 | |
dc.identifier.other | (WOS_ID)000603409900005 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/151252 | |
dc.description.abstract | The paper analyses the intensity changes of three pollution parameter vectors in space and time. The RGB raster pollution data of the Lithuanian territory used for the research were prepared according to the digital images of the Sentinel-2 Earth satellites. The numerical vectors of environmental pollution parameters CH4 (methane), NO2 (nitrogen dioxide) and for direct comparison O-2 (oxygen gas) were used for the calculations. The covariance function theory was used to perform the analysis of intensity changes in digital vectors. Estimates of the covariance functions of the numerical vectors of pollution parameters and O-2 or the auto-covariance functions of single vectors are calculated from random functions consisting of arrays of measurement parameters of all parameters vectors. Correlation between parameters vectors depends on the density of parameters and their structure. Estimates of covariance functions were calculated by changing the quantization interval on a time scale and using a compiled computer program using the Matlab procedure package. The probability dependence between the environmental pollution parameter vectors and trace gas of the territory in Lithuania and their change in time scale was determined. | eng |
dc.format | PDF | |
dc.format.extent | p. 555-565 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | INSPEC | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | CABI - CAB Abstracts | |
dc.relation.isreferencedby | J-Gate | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://doi.org/10.2478/eces-2020-0034 | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:81636277/datastreams/MAIN/content | |
dc.subject | H100 - Bendroji inžinerija / General engineering | |
dc.title | Analysis of air pollution parameters using covariance function theory | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 23 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Aplinkos inžinerijos fakultetas / Faculty of Environmental Engineering | |
dc.subject.researchfield | T 004 - Aplinkos inžinerija / Environmental engineering | |
dc.subject.researchfield | T 010 - Matavimų inžinerija / Measurement engineering | |
dc.subject.vgtuprioritizedfields | SD05 - Geodezinės technologijos / Geodetic technologies | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | air pollution | |
dc.subject.en | methane | |
dc.subject.en | nitrogen dioxide | |
dc.subject.en | oxygen | |
dc.subject.en | correlation coefficients | |
dc.subject.en | covariance functions | |
dcterms.sourcetitle | Ecological chemistry and engineering S-Chemia i inzynieria ekologiczna S | |
dc.description.issue | iss. 4 | |
dc.description.volume | vol. 27 | |
dc.publisher.name | Society of Ecological Chemistry and Engineering | |
dc.publisher.city | Opole | |
dc.identifier.doi | 000603409900005 | |
dc.identifier.doi | 10.2478/eces-2020-0034 | |
dc.identifier.elaba | 81636277 | |