EMISSION INVENTORY OF TSP, SOx, NOx AND CO2 IN AN INDUSTRIAL AREA OF NIGER-DELTA, NIGERIA
The developments of reliable anthropogenic emission inventories are essential for the understanding of air pollution sources and designing effective air pollution control measures in rural and urban areas. In this study, emission inventory of total suspended particulate (TSP), SOx, NOx and CO2 were...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Bologna
2020-01-01
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| Series: | EQA |
| Subjects: | |
| Online Access: | https://eqa.unibo.it/article/view/8955 |
| Summary: | The developments of reliable anthropogenic emission inventories are essential for the understanding of air pollution sources and designing effective air pollution control measures in rural and urban areas. In this study, emission inventory of total suspended particulate (TSP), SOx, NOx and CO2 were investigated within the neighborhoods of an industrial area in Niger-Delta region of Nigeria with the aim of determining the source strengths. The activity data were sourced from the data bases of the major sources (industrial, residential, road transport and electricity generators) as well as from structured questionnaire to reduce uncertainties related to activity data and technology mix. Results revealed that the total emissions in the transport were 2597512 (CO2), 36225 (SOx), 25071 (NOx) and 6551 kg /day (TSP) while industrial sector contributed 217698 (CO2), 30856 (NOx), 8727 (SOx) and 5549 (TSP) kg /day. The residential sector stood at 9617 (CO2), 8975 (NOx), 1202 (TSP) and 16 kg/day while total emissions from electricity generators had 9617 (CO2), 8976 (NOx), 16 (SOx) and 1202 kg/day (TSP). Overall, road transport is the largest contributor of emissions of TSP (44 %), SOx (78 %) and CO2 (90 %) while industrial emissions are the largest contributor of NOx (43 %). Based on the land area of the study site, the total emission rate estimates were: 0.57, 1.80, 2.76, and 110.30 tons / km2, for total suspended particulate, SOx, NOx and CO2 respectively. Results could provide an input to the national emissions data system being proposed as cost-effectiveness analysis tool for the control of these toxic gaseous air pollutants. |
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| ISSN: | 2039-9898 2281-4485 |