Assessments of the impacts of environmental factors on vegetation cover at gas flaring sites in the Niger Delta, Nigeria

Barnabas O Morakinyo
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Abstract

This study aims at the assessment of the effects of environmental factors on vegetation cover at the flaring sites in Rivers State, Nigeria. Twenty one Landsat 7 Enhanced Thematic Mapper Plus (ETM) data, and four Landsat 8 Operational Land Imager and Thermal Infrared Sensor (OLI-TIRS) data dated from 21/04/2000 to 05/02/2022 with  3  cloud cover were employed to study eleven gas flaring sites. Matrix Laboratory MATLAB code was developed for data processing and analysis. Normalized Differential Vegetation Index (NDVI) was computed from the atmospherically corrected multispectral bands (1-4) for Landsat 7, and bands (2-5) for Landsat 8. Change in NDVI was computed as NDVI450-60)m in the N, E, S and W directions which is the difference between NDVI at 450 m and 60 m distance from the flare stack. The available environmental factors (Facility size, flare stack height and time i.e. year, month and day) were applied to the (NDVI450-60m) in the 4 cardinal directions. Pairwise linear and multiple regression statistical analyses were adopted to investigate the relationships between each of the (NDVI450-60)mN, (NDVI450-60)mE, (NDVI450-60)mS and (NDVI450-60)mW and facility size, stack height and time. The results show that only 12  of the variance in (NDVI450-60)mN is explained by the available data. Therefore, it can be concluded that the combination of the facility size, flare stack height and time accounted for only 12  of the results. Further researches using the rate and volume of flared gas data, and the vegetation species is required to achieve better results.
环境因素对尼日利亚尼日尔三角洲天然气燃烧地点植被覆盖的影响评估
本研究旨在评估环境因素对尼日利亚河流州燃烧地点植被覆盖的影响。在2000年4月21日至2022年2月5日期间,利用21个Landsat 7 Enhanced Thematic Mapper Plus (ETM)数据和4个Landsat 8 Operational Land Imager and Thermal Infrared Sensor (OLI-TIRS)数据,对11个天然气燃除地点进行了研究。矩阵实验室开发的MATLAB代码,用于数据处理和分析。归一化植被指数(NDVI)由Landsat 7的大气校正多光谱波段(1-4)和Landsat 8的波段(2-5)计算得到。NDVI在N、E、S、W方向的变化计算为ndvi450 ~ 60)m,即距离耀斑堆450 m和60 m处的NDVI之差。在4个基本方向(NDVI450-60m)上应用可用的环境因子(设施规模、火炬堆高度和时间,即年、月、日)。采用两两线性和多元回归统计分析研究了(NDVI450-60)mN、(NDVI450-60)mE、(NDVI450-60)mS和(NDVI450-60)mW分别与设备规模、堆高和时间的关系。结果表明,(NDVI450-60)mN中只有12个方差可以用现有数据解释。因此,可以得出设施规模、火炬堆高和时间的组合只占12个结果。为了取得更好的结果,需要进一步利用燃烧气体的速率和体积数据以及植被种类进行研究。
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