Journal of Science, Technology and Environment Informatics |
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RESEARCH ARTICLE:
GIS and MATLAB modeling of criteria pollutants: a study of lower onitsha basin during rains
Anyika L. C. (1), Alisa, C. O. (1), Nkwoada A. U. (1), Opara A. I. (2), Ejike E. N. (1) and Onuoha G. N. (1)
1Dept. of Chemistry, Federal University of Technology Owerri, Nigeria
2Dept. of Geology, Federal University of Technology Owerri, Nigeria.
Article info.
Received: 10.06.18, Revised: 19.09.18, Date of Publication: 14 Octyober 2018.
J. Sci. Technol. Environ. Inform. | Volume 06, Issue 01, pp. 443-457
Crossref: https://doi.org/10.18801/jstei.060118.47
GIS and MATLAB modeling of criteria pollutants: a study of lower onitsha basin during rains
Anyika L. C. (1), Alisa, C. O. (1), Nkwoada A. U. (1), Opara A. I. (2), Ejike E. N. (1) and Onuoha G. N. (1)
1Dept. of Chemistry, Federal University of Technology Owerri, Nigeria
2Dept. of Geology, Federal University of Technology Owerri, Nigeria.
Article info.
Received: 10.06.18, Revised: 19.09.18, Date of Publication: 14 Octyober 2018.
J. Sci. Technol. Environ. Inform. | Volume 06, Issue 01, pp. 443-457
Crossref: https://doi.org/10.18801/jstei.060118.47
FULL TEXT PDF:
| 47.06.01.18_gis_and_matlab_modeling_of_criteria_pollutants_a_study_of_lower_onitsha_basin_during_rains.pdf |
GIS and MATLAB modeling of criteria pollutants: a study of lower onitsha basin during rains
Abstract
The study of air pollutants SO2, NO2 and PM10 in lower Onitsha basin, a densely populated city was performed using GPS and Matlab modeling. The pollutants were studied in nine specific locations for 3 months of rains over 3 consecutive years with each georeferenced. The Matlab pollution model was generated by integrating the spatial database and measured pollution attributes database using a polynomial expression. SO2 highest concentration (141 µg/m3) peaked in Upper Iweka at sampling point 1 before dispersing to lower concentrated regions in Awada and Resthouse. NO2 peaked at 207 µg/m3 in Upper Iweka at sampling point 3 and driven by wind towards Borromeo area to very low concentration of 38 ug/m3. The PM10 peaked in Upper Iweka (180 µg/m3) and driven by rains towards Borromeo before increasing again in concentration levels at Awada. The AQI showed that SO2 pollutants had acceptable air quality at all sampling points while NO2 and PM10 air quality affected sensitive groups. SO2 concentration levels exceeded the National air quality standard in Nigeria (NAQS) while NO2 and PM10 were below the NAQS standard. The GIS plot showed that 3 metrological forces were driving pollutants from Upper Iweka and Awada to other sampling areas in the order of SO2> NO2> PM10. The Matlab wind speed plot showed that there was an upward wind in upper Iweka driving the pollutants towards dispersal at some other region. Thus, Upper Iweka is an active point source pollution area and dispersed to Borromeo and Awada by scavenging rains under prevailing wind speed, wind direction and humidity. Hence calls for improved monitoring and regulation to address pollution.
Key Words: Pollutants, Air quality, Model, Rains and Onitsha Nigeria
Abstract
The study of air pollutants SO2, NO2 and PM10 in lower Onitsha basin, a densely populated city was performed using GPS and Matlab modeling. The pollutants were studied in nine specific locations for 3 months of rains over 3 consecutive years with each georeferenced. The Matlab pollution model was generated by integrating the spatial database and measured pollution attributes database using a polynomial expression. SO2 highest concentration (141 µg/m3) peaked in Upper Iweka at sampling point 1 before dispersing to lower concentrated regions in Awada and Resthouse. NO2 peaked at 207 µg/m3 in Upper Iweka at sampling point 3 and driven by wind towards Borromeo area to very low concentration of 38 ug/m3. The PM10 peaked in Upper Iweka (180 µg/m3) and driven by rains towards Borromeo before increasing again in concentration levels at Awada. The AQI showed that SO2 pollutants had acceptable air quality at all sampling points while NO2 and PM10 air quality affected sensitive groups. SO2 concentration levels exceeded the National air quality standard in Nigeria (NAQS) while NO2 and PM10 were below the NAQS standard. The GIS plot showed that 3 metrological forces were driving pollutants from Upper Iweka and Awada to other sampling areas in the order of SO2> NO2> PM10. The Matlab wind speed plot showed that there was an upward wind in upper Iweka driving the pollutants towards dispersal at some other region. Thus, Upper Iweka is an active point source pollution area and dispersed to Borromeo and Awada by scavenging rains under prevailing wind speed, wind direction and humidity. Hence calls for improved monitoring and regulation to address pollution.
Key Words: Pollutants, Air quality, Model, Rains and Onitsha Nigeria
HOW TO CITE THIS ARTICLE
MLA
Anyika et al. “GIS and MATLAB modeling of criteria pollutants: a study of lower Onitsha basin during rains”. Journal of Science, Technology and Environment Informatics 06(01) (2018): 443-457.
APA
Anyika, L. C. Alisa, C. O. Nkwoada, A. U. Opara, A. I. Ejike, E. N. and Onuoha, G. N. (2018). GIS and MATLAB modeling of criteria pollutants: a study of lower Onitsha basin during rains. Journal of Science, Technology and Environment Informatics, 06(01), 443-457.
Chicago
Anyika, L. C. Alisa, C. O. Nkwoada, A. U. Opara, A. I. Ejike, E. N. and Onuoha, G. N. “GIS and MATLAB modeling of criteria pollutants: a study of lower Onitsha basin during rains.” Journal of Science, Technology and Environment Informatics 06(01) (2018): 443-457.
Harvard
Anyika, L. C. Alisa, C. O. Nkwoada, A. U. Opara, A. I. Ejike, E. N. and Onuoha, G. N. 2018. GIS and MATLAB modeling of criteria pollutants: a study of lower Onitsha basin during rains. Journal of Science, Technology and Environment Informatics, 06(01), pp. 443-457.
Vancouver
Anyika, LC, Alisa, CO, Nkwoada, AU, Opara, AI, Ejike, EN and Onuoha, GN. GIS and MATLAB modeling of criteria pollutants: a study of lower Onitsha basin during rains. Journal of Science, Technology and Environment Informatics. 2018 October 06(01): 443-457.
MLA
Anyika et al. “GIS and MATLAB modeling of criteria pollutants: a study of lower Onitsha basin during rains”. Journal of Science, Technology and Environment Informatics 06(01) (2018): 443-457.
APA
Anyika, L. C. Alisa, C. O. Nkwoada, A. U. Opara, A. I. Ejike, E. N. and Onuoha, G. N. (2018). GIS and MATLAB modeling of criteria pollutants: a study of lower Onitsha basin during rains. Journal of Science, Technology and Environment Informatics, 06(01), 443-457.
Chicago
Anyika, L. C. Alisa, C. O. Nkwoada, A. U. Opara, A. I. Ejike, E. N. and Onuoha, G. N. “GIS and MATLAB modeling of criteria pollutants: a study of lower Onitsha basin during rains.” Journal of Science, Technology and Environment Informatics 06(01) (2018): 443-457.
Harvard
Anyika, L. C. Alisa, C. O. Nkwoada, A. U. Opara, A. I. Ejike, E. N. and Onuoha, G. N. 2018. GIS and MATLAB modeling of criteria pollutants: a study of lower Onitsha basin during rains. Journal of Science, Technology and Environment Informatics, 06(01), pp. 443-457.
Vancouver
Anyika, LC, Alisa, CO, Nkwoada, AU, Opara, AI, Ejike, EN and Onuoha, GN. GIS and MATLAB modeling of criteria pollutants: a study of lower Onitsha basin during rains. Journal of Science, Technology and Environment Informatics. 2018 October 06(01): 443-457.
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