Monitoring of SO2 and NO2 Levels around a Gas Flow Station in the Sub-Saharan Region Using Sentinel 5P Satellite Data

IF 2.2 4区 地球科学 Q3 ENVIRONMENTAL SCIENCES
Alex Enuneku, Osikemekha Anthony Anani, Chika Floyd Amaechi, Omonigho Mamuro Goodluck, Fortune Linus Nwulu
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Abstract

This research was carried out to monitor the NO2 and SO2 (Nitrogen and Sulfur IV oxides) levels around the Oben gas flow station in Edo State, Southern Nigeria, using remote sensing data. Secondary data was collected from the Sentinel 5P satellite and processed using Google Earth Pro, ArcMap, Google Earth Engine, and Microsoft Excel to determine the concentrations of the pollutants of interest in the study area for 2019 and 2020. In 2019 and 2020, the maximum mean values for SO2 were 3.99 E-5 mol/m2 and 4.26 E-5 mol/m2, respectively, and for NO2, the maximum mean values were 6.63 E-5 mol/m2 and 6.88 E-5 mol/m2, respectively. For the seasonal variations in concentrations of pollutants, there was p > 0.05 (no significant differences) in the seasonal variation between the concentrations of SO2 in 2019 (t (5) = 1.410) and 2020 (t (5) = 2.399). There was a significant difference (p < 0.05) between NO2 concentrations in the wet and dry seasons for 2019 (t (5) = 5.719) and 2020 (t (5) = 5.991). Also, there was a significant variation between the concentrations of NO2 in 2019 and 2020 at p > 0.05, but not for SO2. Based on the findings from this study, it is recommended that stricter enforcement of already existing legislation on gas flaring and finding cleaner or alternative sources of energy like biofuels and biogas, are highly needed to reduce any unforeseen health and environmental impact in this zone.

Abstract Image

利用哨兵 5P 卫星数据监测撒哈拉以南地区天然气流站周围的二氧化硫和二氧化氮水平
本研究利用遥感数据监测尼日利亚南部埃多州奥本天然气流量站周围的二氧化氮和二氧化硫(氮氧化物和硫氧化物)水平。从哨兵 5P 卫星上收集了二级数据,并使用谷歌地球专业版、ArcMap、谷歌地球引擎和 Microsoft Excel 进行了处理,以确定 2019 年和 2020 年研究区域内相关污染物的浓度。在 2019 年和 2020 年,二氧化硫的最大平均值分别为 3.99 E-5 mol/m2 和 4.26 E-5 mol/m2,二氧化氮的最大平均值分别为 6.63 E-5 mol/m2 和 6.88 E-5 mol/m2。在污染物浓度的季节变化方面,2019 年(t(5)= 1.410)和 2020 年(t(5)= 2.399)二氧化硫浓度的季节变化存在 p > 0.05(无显著差异)。2019 年(t (5) = 5.719)和 2020 年(t (5) = 5.991)雨季和旱季的二氧化氮浓度存在明显差异(p < 0.05)。此外,2019 年和 2020 年的二氧化氮浓度在 p > 0.05 时存在显著差异,而二氧化硫浓度则不存在显著差异。根据这项研究的结果,建议严格执行现有的天然气燃烧立法,并寻找更清洁或替代能源,如生物燃料和沼气,以减少对该地区任何不可预见的健康和环境影响。
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来源期刊
Journal of the Indian Society of Remote Sensing
Journal of the Indian Society of Remote Sensing ENVIRONMENTAL SCIENCES-REMOTE SENSING
CiteScore
4.80
自引率
8.00%
发文量
163
审稿时长
7 months
期刊介绍: The aims and scope of the Journal of the Indian Society of Remote Sensing are to help towards advancement, dissemination and application of the knowledge of Remote Sensing technology, which is deemed to include photo interpretation, photogrammetry, aerial photography, image processing, and other related technologies in the field of survey, planning and management of natural resources and other areas of application where the technology is considered to be appropriate, to promote interaction among all persons, bodies, institutions (private and/or state-owned) and industries interested in achieving advancement, dissemination and application of the technology, to encourage and undertake research in remote sensing and related technologies and to undertake and execute all acts which shall promote all or any of the aims and objectives of the Indian Society of Remote Sensing.
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