Air Quality Measures In Three Local Government Areas of Imo State, Nigeria Using Chemometric Models.

Air Quality Measures In Three Local Government Areas of Imo State, Nigeria Using Chemometric Models. | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Air Quality Measures In Three Local Government Areas of Imo State, Nigeria Using Chemometric Models. U.U. Egereonu, U.L. Onu, S.K. Egereonu, A.I. Otuonye, A.O. Emeagubor This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6802457/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Geographic Information System (GIS) and Matrix Laboratory (MATLAB) Models were used to study air quality in parts of Imo State. Primary data were obtained by conducting relevant analysis using standard instrumental methods on open-air rainwater samples collected in the dry and the rainy seasons for two consecutive years. GIS showed that the pollutants were present throughout the year. Artificial Neural Network (ANN) of MATLAB 2015 was used to represent data with regards to pollutant concentration in all the areas considered. Analysis of Variance (ANOVA) and the Multi-Comparative plots showed that all the Criteria pollutants except CO were affected by seasonal change. All the pollutants exceeded the WHO, NAAQS and FEPA Standards with the Air Quality Index (AQI) indicating poor air quality with grade E for all the areas studied. Hot spot locations appeared more for SO 2 , PM 10 , in the dry seasons while the average concentration of CO showed the same trend with NO 2 with higher levels during the rainy seasons. Therefore, the findings from this research provides knowledge of patterns and trends of air pollutant dispersion and other reliable information that could be useful to the Government, relevant pollution regulatory agencies and the general public for better proactive decision making and pollution control in Imo State. Air Pollutants Heavy metals GIS MATLAB ANN Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6802457","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":465738390,"identity":"f2d242bd-4566-4e1d-9b91-670053fc6808","order_by":0,"name":"U.U. 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Primary data were obtained by conducting relevant analysis using standard instrumental methods on open-air rainwater samples collected in the dry and the rainy seasons for two consecutive years. GIS showed that the pollutants were present throughout the year. Artificial Neural Network (ANN) of MATLAB 2015 was used to represent data with regards to pollutant concentration in all the areas considered. Analysis of Variance (ANOVA) and the Multi-Comparative plots showed that all the Criteria pollutants except CO were affected by seasonal change. All the pollutants exceeded the WHO, NAAQS and FEPA Standards with the Air Quality Index (AQI) indicating poor air quality with grade E for all the areas studied. Hot spot locations appeared more for SO\u003csub\u003e2\u003c/sub\u003e, PM\u003csub\u003e10\u003c/sub\u003e, in the dry seasons while the average concentration of CO showed the same trend with NO\u003csub\u003e2\u003c/sub\u003ewith higher levels during the rainy seasons. 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