English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The influence of meteorological parameters on air pollutants over Port Harcourt and its environs in the dry season was modeled using multiple linear regressions model. Results indicated that meteorological parameters significantly influenced pollutant concentrations; results also showed poor linear relationships between meteorological parameters and pollutant concentrations, and that meteorological parameters are poor predictor variables of concentrations of air pollutants in the area. Pollution roses of pollutants dispersion pattern in the study area showed that pollutant concentrations increase with increased wind speed. Result also showed that wind speed exerts positive influence on the concentration levels of pollutants in the study area. The yearly prediction of air pollutants was also carried out using a ten-year data from previous studies conducted in the study area. The prediction was done using regression analysis and year as the predictor variable to develop a model. The relationship between air pollutants and year was therefore established for the annual prediction of the future pollutant concentrations in the dry seasons for period of the next fifteen years.

international journal of environment, agriculture and biotechnology

Prediction and Modeling of Dry Seasons Air pollution changes using multiple linear Regression Model: A Case Study of Port Harcourt and its Environs, Niger Delta, Nigeria