http://archive.conscientiabeam.com/index.php/80 Conscientia Beam en-US Review of Environment and Earth Sciences 2409-2150 http://archive.conscientiabeam.com/index.php/80/article/view/3359 <p>The drainage system is more than a building saving venture, but of life and environment. Inadequacy of drainage system characterised every nook and cranny of major parts in Nigeria, including the Federal Capital Territory, though, it is more pronounced in slums, rural and suburban areas, which accommodate the larger populace. Lack/Inadequacy of drainage system has resulted into improper disposal of greywater, as drainage system is designed to convey waste water to safer place for proper disposal are not available. The consequence of this is seen in a stream of household greywater flow out of the house to the main street. The sight of pipe conveying greywater from bathroom and laundry is a common view in most part of Nigeria, especially in a suburban area, where there is a high dense population. Different severe environmental consequences have resulted from this act, which might be a threat to public health. Also, the practice can also act as a precursor to other ailments in the society. Therefore, there is a need to create awareness on the negative impact of indiscrimate discharge of waste water on the environment.&nbsp; Hence, this paper seeks to review the improper greywater discharge on the street and its possible environmental consequences.</p> Joshua Ayodeji Gidigbi Copyright (c) 2023 2023-05-09 2023-05-09 10 1 1 7 10.18488/80.v10i1.3359 http://archive.conscientiabeam.com/index.php/80/article/view/3390 <p>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 &nbsp;3 &nbsp;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 NDVI_450-60)_min 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 (NDVI_450-60m) in the 4 cardinal directions. Pairwise linear and multiple regression statistical analyses were adopted to investigate the relationships between each of the (NDVI_450-60)_mN, (NDVI_450-60)_mE, (NDVI_450-60)_mS and (NDVI_450-60)_mW and facility size, stack height and time. The results show that only 12 &nbsp;of the variance in (NDVI_450-60)_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 &nbsp;of the results. Further researches using the rate and volume of flared gas data, and the vegetation species is required to achieve better results.</p> Barnabas O Morakinyo Copyright (c) 2023 2023-06-05 2023-06-05 10 1 8 18 10.18488/80.v10i1.3390