INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This study was aimed at developing a predictive model based on relationship between air pollutant and meteorological parameters using hourly and daily air pollutants (VOC, CO, PM1) and meteorological parameters (Wind Speed, Air temperature, Solar Radiation, Rain fall) data from Alesa-Eleme, River State for a period of fourteen (14) months. The data was gathered using AQM 65 (Monitoring Station) strategically located at three (3) sites, in real time, spread over the study area. The was analyzed using descriptive, correlation and regression analysis., The results revealed that; at Station A, CO has weak and direct relationship with air temperature and Solar radiation, and weak and inverse (negative) relationship with wind direction and rain. VOC has weak and direct relationship with air temperature, solar radiation and rain, and weak and inverse relationship with wind direction. then PM has strong and direct relationship with air temperature and solar radiation but inverse and weak relationship with wind direction and rain. At station B, CO had strong and direct relationship with air temperature and weak and direct relationship with Solar radiation, and weak and inverse relationship with wind direction and rain. VOC had weak and inverse relationship with wind direction air temperature, solar radiation and weak and direct relationship with rain while PM1 has strong and direct (positive0 relationship with air temperature and solar radiation, weak and direct relationship with wind direction but inverse and weak relationship with rain. Finally at station C, CO has weak and direct relationship with air temperature and Solar radiation, and weak and inverse relationship with wind direction and rain. VOC was weakly and inversely related to wind direction and solar radiation, weakly and directly related to rain and strongly and inversely related to air temperature while PM was strongly and direct related with air temperature and solar radiation, weakly and directly associated with wind direction but inversely and weakly associated with rain. The model for CO and PM were significant while that of VOC was not developed because it was not significant.
Keywords:
Air pollutants, Meteorological Parameters, Correlation Analysis, Regression Analysis, Modelling, Prediction
Cite Article:
"Modelling the Relationship Between Air Pollutants and Meteorological Variables; A Case Study of Alesa-Eleme, Rivers State, Nigeria", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 7, page no.a709-a718, July-2023, Available :http://www.ijnrd.org/papers/IJNRD2307086.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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