Dispersion modeling of PM10 from selected flow stations in the Niger Delta, Nigeria: implications on soot pollution
Abstract Background Gas flaring in the Niger Delta releases particles which are dispersed over a wide area and have impacts on the environment and human health. The study aimed at assessing the extent of dispersion of PM10 emitted from gas flares in flow stations. Eight selected flow stations in Riv...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2021-01-01
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| Series: | Environmental Systems Research |
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| Online Access: | https://doi.org/10.1186/s40068-020-00207-z |
| _version_ | 1818676157152755712 |
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| author | Michael Chukwuemeka Nwosisi Olusegun Oguntoke Adewale Matthew Taiwo |
| author_facet | Michael Chukwuemeka Nwosisi Olusegun Oguntoke Adewale Matthew Taiwo |
| author_sort | Michael Chukwuemeka Nwosisi |
| collection | DOAJ |
| description | Abstract Background Gas flaring in the Niger Delta releases particles which are dispersed over a wide area and have impacts on the environment and human health. The study aimed at assessing the extent of dispersion of PM10 emitted from gas flares in flow stations. Eight selected flow stations in Rivers and Bayelsa states were investigated. The concentrations of PM10 emitted from the flare stacks were monitored 60 m away from the flare stack using a hand-held Met One AEROCET 531 combined Mass Profiler and Particle Counter. Meteorological parameters such as wind speed, ambient temperature and relative humidity were monitored during the sampling campaign. PM10 and meteorological data were analysed for simple and descriptive statistics using SPSS for Windows (version 21.0). Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT) was adopted to predict the dispersion of PM10 from the flow stations. Results Results revealed the range concentrations of PM10 from the flow stations (FS 1–8) as 19.9 µg/m3 at FS 1 to 55.4 µg/m3 at FS 8. The maximum concentration of PM10 at FS 8 was higher than the World Health organisation limit of 50 µg/m3. The dispersion of PM10 emitted from FS 1, 4 and 7 in April 2017, had a fitting spread over Port Harcourt City. Conclusions The modeling results revealed dispersion of PM10 from the flow stations to 14 states in Nigeria. This suggests possible detrimental health and environmental effects of PM10 on residents in the identified states. |
| first_indexed | 2024-12-17T08:39:00Z |
| format | Article |
| id | doaj.art-894af4ca1c55495bba1769dbd71a2c51 |
| institution | Directory Open Access Journal |
| issn | 2193-2697 |
| language | English |
| last_indexed | 2024-12-17T08:39:00Z |
| publishDate | 2021-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Environmental Systems Research |
| spelling | doaj.art-894af4ca1c55495bba1769dbd71a2c512022-12-21T21:56:24ZengSpringerOpenEnvironmental Systems Research2193-26972021-01-0110111610.1186/s40068-020-00207-zDispersion modeling of PM10 from selected flow stations in the Niger Delta, Nigeria: implications on soot pollutionMichael Chukwuemeka Nwosisi0Olusegun Oguntoke1Adewale Matthew Taiwo2Department of Environmental Management and Toxicology, Federal University of Petroleum ResourcesDepartment of Environmental Management and Toxicology, Federal University of AgricultureDepartment of Environmental Management and Toxicology, Federal University of AgricultureAbstract Background Gas flaring in the Niger Delta releases particles which are dispersed over a wide area and have impacts on the environment and human health. The study aimed at assessing the extent of dispersion of PM10 emitted from gas flares in flow stations. Eight selected flow stations in Rivers and Bayelsa states were investigated. The concentrations of PM10 emitted from the flare stacks were monitored 60 m away from the flare stack using a hand-held Met One AEROCET 531 combined Mass Profiler and Particle Counter. Meteorological parameters such as wind speed, ambient temperature and relative humidity were monitored during the sampling campaign. PM10 and meteorological data were analysed for simple and descriptive statistics using SPSS for Windows (version 21.0). Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT) was adopted to predict the dispersion of PM10 from the flow stations. Results Results revealed the range concentrations of PM10 from the flow stations (FS 1–8) as 19.9 µg/m3 at FS 1 to 55.4 µg/m3 at FS 8. The maximum concentration of PM10 at FS 8 was higher than the World Health organisation limit of 50 µg/m3. The dispersion of PM10 emitted from FS 1, 4 and 7 in April 2017, had a fitting spread over Port Harcourt City. Conclusions The modeling results revealed dispersion of PM10 from the flow stations to 14 states in Nigeria. This suggests possible detrimental health and environmental effects of PM10 on residents in the identified states.https://doi.org/10.1186/s40068-020-00207-zDispersion modelingFlare stacksGas flaringMeteorological parametersAir pollution |
| spellingShingle | Michael Chukwuemeka Nwosisi Olusegun Oguntoke Adewale Matthew Taiwo Dispersion modeling of PM10 from selected flow stations in the Niger Delta, Nigeria: implications on soot pollution Environmental Systems Research Dispersion modeling Flare stacks Gas flaring Meteorological parameters Air pollution |
| title | Dispersion modeling of PM10 from selected flow stations in the Niger Delta, Nigeria: implications on soot pollution |
| title_full | Dispersion modeling of PM10 from selected flow stations in the Niger Delta, Nigeria: implications on soot pollution |
| title_fullStr | Dispersion modeling of PM10 from selected flow stations in the Niger Delta, Nigeria: implications on soot pollution |
| title_full_unstemmed | Dispersion modeling of PM10 from selected flow stations in the Niger Delta, Nigeria: implications on soot pollution |
| title_short | Dispersion modeling of PM10 from selected flow stations in the Niger Delta, Nigeria: implications on soot pollution |
| title_sort | dispersion modeling of pm10 from selected flow stations in the niger delta nigeria implications on soot pollution |
| topic | Dispersion modeling Flare stacks Gas flaring Meteorological parameters Air pollution |
| url | https://doi.org/10.1186/s40068-020-00207-z |
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