Monitoring and Modeling of Atmospheric Change Indices In Parts of Imo State Using GIS, MATLAB and ANN.

[{“box”:0,”content”:”[if 992 equals=”Open Access”]n

n

n

n

Open Access

nn

n

n[/if 992]n

n

Year : May 30, 2024 at 11:48 am | [if 1553 equals=””] Volume : [else] Volume :[/if 1553] | [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] : | Page : –

n

n

n

n

n

n

By

n

[foreach 286]n

n

n

UU Egereonu, J.C.Ike, C.K.Enebeaku, C.O.Akalezi, A.A.Bilar, M.C.Igbomezie, J.C.Egereonu, N.C.Okoro, M.O.Ezekoye, I.C.Obiagwu

n

    n t

  • n

n

n[/foreach]

n

n[if 2099 not_equal=”Yes”]n

    [foreach 286] [if 1175 not_equal=””]n t

  1. Professor, Lecturer, Professor, Reader, Lecturer, Lecturer, Asst Lecturer, Asst Lecturer, Asst Lecturer, Asst Lecturer Federal University of Technology, Federal University of Technology, Federal University of Technology, Federal University of Technology, Federal University of Technology, Federal University of Technology, Federal University of Technology, University of Agriculture and Environmental Sciences, Umuagwo, Federal University of Technology, Federal University of Technology Owerri, Owerri, Owerri, Owerri, Owerri, Owerri, Owerri, Imo State, Owerri, Owerri Nigeria, Nigeria, Nigeria, Nigeria, Nigeria, Nigeria, Nigeria, Nigeria, Nigeria, Nigeria
  2. n[/if 1175][/foreach]

n[/if 2099][if 2099 equals=”Yes”][/if 2099]n

n

Abstract

nGeographic 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 SO2, PM10, in the dry seasons while the average concentration of COshowed the same trend with NO2with 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.

n

n

n

Keywords: Air Pollutants, Heavy metals, GIS, MATLAB, ANN.

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Modern Chemistry & Chemical Technology(jomcct)]

n

[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Modern Chemistry & Chemical Technology(jomcct)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

n

n

n

How to cite this article: UU Egereonu, J.C.Ike, C.K.Enebeaku, C.O.Akalezi, A.A.Bilar, M.C.Igbomezie, J.C.Egereonu, N.C.Okoro, M.O.Ezekoye, I.C.Obiagwu. Monitoring and Modeling of Atmospheric Change Indices In Parts of Imo State Using GIS, MATLAB and ANN.. Journal of Modern Chemistry & Chemical Technology. May 30, 2024; ():-.

n

How to cite this URL: UU Egereonu, J.C.Ike, C.K.Enebeaku, C.O.Akalezi, A.A.Bilar, M.C.Igbomezie, J.C.Egereonu, N.C.Okoro, M.O.Ezekoye, I.C.Obiagwu. Monitoring and Modeling of Atmospheric Change Indices In Parts of Imo State Using GIS, MATLAB and ANN.. Journal of Modern Chemistry & Chemical Technology. May 30, 2024; ():-. Available from: https://journals.stmjournals.com/jomcct/article=May 30, 2024/view=0

nn[if 992 equals=”Open Access”] Full Text PDF Download[/if 992] n[if 992 not_equal=”Open Access”]

[/if 992]n[if 992 not_equal=”Open Access”]


n


n

n[/if 992]nn[if 379 not_equal=””]n

Browse Figures

n

n

[foreach 379]n

n[/foreach]n

n

n

n[/if 379]n

n

References

n[if 1104 equals=””]n

  1. Pope C. A., Thun M. J., Namboodira M., Dockery D. W., Evans J. S., Speizer F. E. & Wealth Jr. C. W. (1995). “Particulate air pollution as a predictor of mortality in a prospective study of U.S adults”. Am. J. Respir. Crit. Care Med. 151, 669-674.
  2. Laden F., Neas L. M., Dockery D. W. & Schwartz J. (2000). “Association of fine particulate matter from different sources with daily mortality in six U.S Cities”. Environ. Health Perspect., 108: 941-947.
  3. Ngele S. O. & Onwu F. K. (2015). “Measurements of ambient air fine and coarse particulate matter in ten South-East Nigerian cities”. Research Journal of Chemical Sciences. 5(1): 71–77. http://www.isca.in/rjcs/Archives/v5/i1/12.ISCA-RJCS-2015-004.pdf as accessed on 13th June, 2016.
  4. Pope C. A., Burnett R. T., Thun M. J., Calle E. E., Krewski D., Ito K. & Thurston G. D. (2002). “Lung cancer, cardiopulmonary mortality and long-term exposure to fine particulate air pollution”. J. Am. Med. Assoc., 287, 1132-1141.
  5. WHO Regional Office for Europe (2000). “Air Quality Guidelines”. 2nd edition, Copenhagen.
  6. Murshed M, Dao NTT (2020) Revisiting the CO2 emission-induced EKC hypothesis in South Asia: the role of Export Quality Improvement. GeoJournal. https://doi.org/10.1007/s10708-020-10270-9
  7. Hussain M, Butt AR, Uzma F, Ahmed R, Irshad S, Rehman A, Yousaf B (2020). A comprehensive review of climate change impacts, adaptation, and mitigation on environmental and natural calamities in Pakistan. Environ Monit Assess 192(1):48. Article Google Scholar
  8. Sovacool BK, Griffiths S, Kim J, Bazilian M (2021) Climate change and industrial F-gases: a critical and systematic review of developments, sociotechnical systems and policy options for reducing synthetic greenhouse gas emissions. Renew Sustain Energy Rev 141:110759
  9. Usman M, Balsalobre-Lorente D (2022). Environmental concern in the era of industrialization: Can financial development, renewable energy and natural resources alleviate some load? Ene Policy 162:112780
  10. Murshed M, Abbass K, Rashid S (2021). Modelling renewable energy adoption across south Asian economies: Empirical evidence from Bangladesh, India, Pakistan and Sri Lanka. Int J Finan Eco 26(4):5425–5450. Article Google Scholar
  11. Anon (2016). “The Little Green Data Book”. The World Bank, Washington D. C., USA. http://data.worldbank.org/sites/default/fies/ldb-green-2016-with cover.pdf as accessed.
  12. APMA (Air Pollution in the Megacities of Asia project) (2002). “Benchmarking urban air quality management and practice in major and mega cities of Asia”. Stage 1. Prepared and published in the framework of the APMA Project by Haq G., Han W., Kim C. & Vallack H. Korea Environment Institute, Seoul. 6-108.
  13. Molina M. J., Ivanor A. V., Trakhtenberg S. & Molina L. T. (2004). “Atmospheric evolution of organic aerosol”. Geophysical Research Letters 31: 1-5.
  14. Grutter M., Arellano J., Bezanilla H., Friedrich M., Plaza E., Rivera C. & Stremme W. (2014). “Characterization of air pollution in Mexico City by remote sensing”. Geophysical Research Abstracts 16: 1.
  15. Abaje I. B., Bello Y. and Ahmad S. A. (2020). A Review of Air Quality and Concentrations of Air Pollutants in Nigeria. J Appl Sci Environ Manag 24(2):373-379.
  16. Núñez-Alonso D., Perez-Arribas L. V., Manzoor S., Caceres J. O. (2019). Statistical Tools for air Pollution assessment: Multivariate ans Spatial Analysis Studies in the Madrid Region. J Anal Methods Chem. https://doi.org/10.1155/2019/9753927.

17.Wang X. C., Klemes, J. J., Dong X., Fan W., Xu Z., Wang Y., Varbanov P., (2020). Reviews, S. E. Air Pollution Terrain Nexus: A review Considering energy Generation and Consumption. Renew Sust. Energy Rev. 105, 71-85. [Google Scholar].

 

18.Ma Y., He W., Zhao H., Zhao J., Wu X., Wu W., Li X. and Yin C (2019). Influence of Low Impact Development Practices on Urban Diuse Pollutant Transport Process at Catchment Scale. J. Clean Prod. 213, 357-364. [Google Scholar].

 

19.Rai R., Rajput M., Agrawal M. & Agrawal S. B. (2011). “Gaseous air pollutants: Review of current and future trends of emissions and impact on agriculture”. J. Scientific Res., 55, 77-102.

 

20.Olowoporoku A. O., Longhurst J. W. S. & Barnes J. H. (2012). “Framing air pollution as a major health risk in Lagos, Nigeria”. WIT Transactions on Ecology and the Environment, 1(12): 147-157.

 

21.Komolafe Akinola A., Suleiman Abdul-Azeez A., Adeleye Anifowose B., Francis Omowonuola A. & Dauda Rotimi A. (2014), “Air pollution and Climate change in Lagos, Nigeria: Need for proactive approaches to risk management and adaptation”. American Journal of Environmental Sciences 10(4): 412-423.

  1. Fagbeja M. A., Chatterton T. J., Longhurst J. W. S., Akinyede J. O. & Adegoke J. O. (2008). “Air pollution and management in the Niger Delta –Emerging issues”. WIT Transactions on Ecology and Management, 116, 2008 WIT Press.
  2. Mohtar Anis Asma Ahmad, Mohd Talib Latif, Nor Hafizah Baharundin, Fatimah Ahamad, Jing Xiang Chung, Murnira Othman & Liew Juneng (2018). “Variation of major air pollutants in different seasonal conditions in an urban environment in Malaysia”. Geoscience letters 5(21): 67-73.

24.Balogun V. S. & Orimoogunje O. O. I. (2015). “An assessment of seasonal variation of air pollution in Benin City, Southern Nigeria”. Atmospheric and Climate Sciences, 5: 209-218.

  1. Wei Chen, Lei Yan & Haimeng Zhao (2015). “Seasonal variations of atmospheric pollution and air quality in Beijing”. 6: 1753-1770.
  2. 27. Eswal S. & Verma V. (2016). “Annual and seasonal variations in air quality index of the National Capital Region, India”.
  3. Liu Jane & Siliang Cui (2014). “Metrological influences of seasonal variations on fine particulate matter in cities over Southern Ontario, Canada”. Research Article published in Hindawi Publishing Corporation Advances in Meteorology, 2014 (169476): 15-30. http://dx.doi.org/10.1155/2014/169476.
  4. George M. P., Kaur B., Sharma A. & Mishra S. (2013). “Seasonal variations of air pollutants of Delhi and its health effects”. NeBIO J. Environ., Biodivers, 4(4): 42-46.

30.Karar K., & Gupta A. (2006). “Seasonal variations and chemical characterization of ambient PM10 at residential and industrial sites of an urban region of Kolkata (Culcatta)”, India. Atmosphere Res., 81: 36-53.

  1. Ibe F. C., Njoku P. C., Alinnor J. l. & Opara A. l. (2015). “Evaluation of ambient air quality in parts of Imo State, Nigeria”.

32.Chasant M. (2019). “Nigeria leads Africa in air pollution –Related deaths: Updated estimates”. ATCMASK, April 04, 2019.

33.Kayode S. John, & Kamson Feyisayo (2013). “Air pollution by Carbon Monoxide (CO) poisonous gas in Lagos Area, Southwestern Nigeria”. Atmospheric and Climate Sciences, 3: 510-514.

34.Cunningham A. (2018). “Amid pollution and political indifference, Nigeriansstruggle to catch their breath”. Undark, 22 October, 2018.

  1. WHO (2021). WHO Global Air Quality guidelines; Particulate Matter (PM 2.5 and PM 10), Ozone, Nitrogen dioxide, Sulphur dioxide and Carbon monoxide, https://www.who.int/publications/item/978920034228. Accessed 23 Dec 2021.
  2. FEPA (1991). National guidelines and standards for environmental pollution control in Nigeria. https://searchworks.stanford.edu/view/29822780. Accessed 14 Jan 2021.

37.USEPA (United States Environmental Protection Agency) NAAQS (2022) Table. https://www.epa.gov/criteria-air-pollutants/naaqs-table. Accessed 22 Sept 2022.

  1. Irogbulem, I. U., Egereonu, U. U., Ogukwe, C. E., Akalezi C. O., Egereonu J. C., Duru, C. E., and Okoro, N. J. (2022). Assessment of Seasonal Variations in Air Quality from Lagos Metropolis and Suburban using Chemometrics Models. The Tunisian Chemical Society and Springer Journal Nature Switzerland AG. https://doi.org/10.1007/s42250-022-00537-8.

 

nn[/if 1104][if 1104 not_equal=””]n

    [foreach 1102]n t

  1. [if 1106 equals=””], [/if 1106][if 1106 not_equal=””],[/if 1106]
  2. n[/foreach]

n[/if 1104]

nn


nn[if 1114 equals=”Yes”]n

n[/if 1114]

n

n

[if 424 not_equal=””][else]Ahead of Print[/if 424] Subscription Original Research

n

n

n

n

n

Journal of Modern Chemistry & Chemical Technology

n

[if 344 not_equal=””]ISSN: 2229-6999[/if 344]

n

n

n

n

n

[if 2146 equals=”Yes”][/if 2146][if 2146 not_equal=”Yes”][/if 2146]n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n[if 1748 not_equal=””]

[else]

[/if 1748]n

n

n

Volume
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424]
Received February 1, 2024
Accepted April 3, 2024
Published May 30, 2024

n

n

n

n

n

n function myFunction2() {n var x = document.getElementById(“browsefigure”);n if (x.style.display === “block”) {n x.style.display = “none”;n }n else { x.style.display = “Block”; }n }n document.querySelector(“.prevBtn”).addEventListener(“click”, () => {n changeSlides(-1);n });n document.querySelector(“.nextBtn”).addEventListener(“click”, () => {n changeSlides(1);n });n var slideIndex = 1;n showSlides(slideIndex);n function changeSlides(n) {n showSlides((slideIndex += n));n }n function currentSlide(n) {n showSlides((slideIndex = n));n }n function showSlides(n) {n var i;n var slides = document.getElementsByClassName(“Slide”);n var dots = document.getElementsByClassName(“Navdot”);n if (n > slides.length) { slideIndex = 1; }n if (n (item.style.display = “none”));n Array.from(dots).forEach(n item => (item.className = item.className.replace(” selected”, “”))n );n slides[slideIndex – 1].style.display = “block”;n dots[slideIndex – 1].className += ” selected”;n }n”}]