Matches in SemOpenAlex for { <https://semopenalex.org/work/W3097338787> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W3097338787 abstract "Zenica is on the list of cities with the highly polluted air. In addition to gaseous air pollutants, there are also solid or liquid particles called aerosols. (text{PM}_{2.5}) is a group of aerosols and represents particles with a diameter of less than (2.5,upmumathrm{m}). These particles are hazardous to human health and affect air quality. Due to their small size, they are inhaled and cause a variety of diseases of the cardiovascular, respiratory and overall human health. A low cost prediction model based on multiple linear regression will be presented in this paper. The prediction model will analyze the impact of the other air pollutants on the concentration of (text{PM}_{2.5}) particles in the city of Zenica. Parameters included in testing are (mathrm{CO}), ({mathrm{SO}}_{2}), ({mathrm{NO}}_{2}), ({mathrm{O}}_{3}) and (text{PM}_{10}). The test samples are data from the meteorological station Zenica Centar. The parameters are displayed on the World Air Quality Index page, which, in cooperation with the Federal Hydrometeorological Institute, collects information on the concentration of these parameters. The results indicated that the regression model had (({R}^{2}= 0.658)) goodness-of-fit. Significance values of all parameters are (<0.05), beside ({mathrm{O}}_{3}) with significance value of 0.162. In this research we have proven correlation between (text{PM}_{2.5}) and other pollutants in the city of Zenica, beside ({mathrm{O}}_{3})." @default.
- W3097338787 created "2020-11-09" @default.
- W3097338787 creator A5081775385 @default.
- W3097338787 date "2020-11-05" @default.
- W3097338787 modified "2023-09-23" @default.
- W3097338787 title "Multiple Linear Regression Model for Predicting PM2.5 Concentration in Zenica" @default.
- W3097338787 cites W1862882637 @default.
- W3097338787 cites W2127919322 @default.
- W3097338787 cites W2146536104 @default.
- W3097338787 cites W2569446471 @default.
- W3097338787 cites W2794372206 @default.
- W3097338787 cites W2883612219 @default.
- W3097338787 cites W2891220458 @default.
- W3097338787 cites W2891917648 @default.
- W3097338787 cites W2944895237 @default.
- W3097338787 cites W2980588293 @default.
- W3097338787 doi "https://doi.org/10.1007/978-3-030-54765-3_23" @default.
- W3097338787 hasPublicationYear "2020" @default.
- W3097338787 type Work @default.
- W3097338787 sameAs 3097338787 @default.
- W3097338787 citedByCount "0" @default.
- W3097338787 crossrefType "book-chapter" @default.
- W3097338787 hasAuthorship W3097338787A5081775385 @default.
- W3097338787 hasConcept C105795698 @default.
- W3097338787 hasConcept C121332964 @default.
- W3097338787 hasConcept C126314574 @default.
- W3097338787 hasConcept C152877465 @default.
- W3097338787 hasConcept C153294291 @default.
- W3097338787 hasConcept C178790620 @default.
- W3097338787 hasConcept C185592680 @default.
- W3097338787 hasConcept C205649164 @default.
- W3097338787 hasConcept C2987853052 @default.
- W3097338787 hasConcept C2987857752 @default.
- W3097338787 hasConcept C33923547 @default.
- W3097338787 hasConcept C48921125 @default.
- W3097338787 hasConcept C559116025 @default.
- W3097338787 hasConcept C71924100 @default.
- W3097338787 hasConcept C82685317 @default.
- W3097338787 hasConcept C91586092 @default.
- W3097338787 hasConcept C99454951 @default.
- W3097338787 hasConceptScore W3097338787C105795698 @default.
- W3097338787 hasConceptScore W3097338787C121332964 @default.
- W3097338787 hasConceptScore W3097338787C126314574 @default.
- W3097338787 hasConceptScore W3097338787C152877465 @default.
- W3097338787 hasConceptScore W3097338787C153294291 @default.
- W3097338787 hasConceptScore W3097338787C178790620 @default.
- W3097338787 hasConceptScore W3097338787C185592680 @default.
- W3097338787 hasConceptScore W3097338787C205649164 @default.
- W3097338787 hasConceptScore W3097338787C2987853052 @default.
- W3097338787 hasConceptScore W3097338787C2987857752 @default.
- W3097338787 hasConceptScore W3097338787C33923547 @default.
- W3097338787 hasConceptScore W3097338787C48921125 @default.
- W3097338787 hasConceptScore W3097338787C559116025 @default.
- W3097338787 hasConceptScore W3097338787C71924100 @default.
- W3097338787 hasConceptScore W3097338787C82685317 @default.
- W3097338787 hasConceptScore W3097338787C91586092 @default.
- W3097338787 hasConceptScore W3097338787C99454951 @default.
- W3097338787 hasLocation W30973387871 @default.
- W3097338787 hasOpenAccess W3097338787 @default.
- W3097338787 hasPrimaryLocation W30973387871 @default.
- W3097338787 hasRelatedWork W13634083 @default.
- W3097338787 hasRelatedWork W13696353 @default.
- W3097338787 hasRelatedWork W14554088 @default.
- W3097338787 hasRelatedWork W20447187 @default.
- W3097338787 hasRelatedWork W21628316 @default.
- W3097338787 hasRelatedWork W22420340 @default.
- W3097338787 hasRelatedWork W27785464 @default.
- W3097338787 hasRelatedWork W3332763 @default.
- W3097338787 hasRelatedWork W8330250 @default.
- W3097338787 hasRelatedWork W9019371 @default.
- W3097338787 isParatext "false" @default.
- W3097338787 isRetracted "false" @default.
- W3097338787 magId "3097338787" @default.
- W3097338787 workType "book-chapter" @default.