{"title":"Assessments of the impacts of environmental factors on vegetation cover at gas flaring sites in the Niger Delta, Nigeria","authors":"Barnabas O Morakinyo","doi":"10.18488/80.v10i1.3390","DOIUrl":"https://doi.org/10.18488/80.v10i1.3390","url":null,"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.","PeriodicalId":286208,"journal":{"name":"Review of Environment and Earth Sciences","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128393513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Nigeria’s drainage challenges: An opinion paper on the in-street waste water and its environmental consequences","authors":"J. A. Gidigbi","doi":"10.18488/80.v10i1.3359","DOIUrl":"https://doi.org/10.18488/80.v10i1.3359","url":null,"abstract":"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. Hence, this paper seeks to review the improper greywater discharge on the street and its possible environmental consequences.","PeriodicalId":286208,"journal":{"name":"Review of Environment and Earth Sciences","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132187407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Survey of Aquatic Macrophytes in the Akassa Axis of the River Nun, Niger Delta, Nigeria","authors":"Gijo Ah, Alagoa Kj","doi":"10.18488/80.v9i1.3218","DOIUrl":"https://doi.org/10.18488/80.v9i1.3218","url":null,"abstract":"An ecological study was conducted to measure the diversity of aquatic macrophytes and nutrient levels of the River Nun estuary around Akassa, Niger Delta, Nigeria. This was done to ascertain the current ecological status of the estuary and gauge the ecological health of the water body as a result of anthropogenic additions into the water body. Macrophye and Subsurface samples were collected from three sampling points on the estuary. Macrophyte samples were identified using standard keys while water samples were investigated for pH, Salinity, Nitrates, Phosphates, and Sulphates. Result from the study reveals the presence of 17 species of aquatic macrophytes from 8 families. All nutrient parameters were within the permissible levels. There is no significant difference (P>0.05) in pH, salinity and sulphate between stations. There is a significant difference (P<0.05) in nitrate and phosphate between stations. The diversity of macrophytes was also uniformly high in all stations. The preponderance of macrophytes in this study agrees with the aphorism that marine ecosystems contain a high diversity of living organisms. The River Nun is therefore not under any immediate ecological threat.","PeriodicalId":286208,"journal":{"name":"Review of Environment and Earth Sciences","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122003027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Habitat Selection and Threats of Red Fox (Vulpes Vulpes) in Rara National Park, Nepal","authors":"Suresh Kumar Thapa Magar, M. Dhamala","doi":"10.18488/JOURNAL.80.2019.61.1.13","DOIUrl":"https://doi.org/10.18488/JOURNAL.80.2019.61.1.13","url":null,"abstract":"","PeriodicalId":286208,"journal":{"name":"Review of Environment and Earth Sciences","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125114445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kelechi Friday Nkwocha, A. Akanwa, M. Jimme, Samuel Oji Iheukwumere, Ngozi Joe-Nkechebelu
{"title":"Perception and Impacts to Climate Emergency in Maiduguri Urban, North-East Nigeria: A Case for Community Based Adaptation Approach","authors":"Kelechi Friday Nkwocha, A. Akanwa, M. Jimme, Samuel Oji Iheukwumere, Ngozi Joe-Nkechebelu","doi":"10.18488/journal.80.2019.62.24.33","DOIUrl":"https://doi.org/10.18488/journal.80.2019.62.24.33","url":null,"abstract":"Article History Received: 3 October 2019 Revised: 6 November 2019 Accepted: 10 December 2019 Published: 20 January 2020","PeriodicalId":286208,"journal":{"name":"Review of Environment and Earth Sciences","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123009682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Phytoremediation: An Environmental Detoxification Technology using Plants","authors":"Awotedu Olamilekan Lanre, Ogunbamowo Paul Oluwatimilehin, Ariwoola Oluwole Sesan, Chukwudebe Eccepacem, Awotedu Bolajoko Folake","doi":"10.18488/journal.80.2020.71.15.26","DOIUrl":"https://doi.org/10.18488/journal.80.2020.71.15.26","url":null,"abstract":"Phytoremediation is a green technology that uses plant to remove, detoxify and clean up some selected environmental contaminations inside the soil, waste water, ground water and sludge that are contaminated through human, economic, agricultural and industrial activities. Excessive contaminations of the soil usually pose significant health hazard to human and plants life, hence it is imperative to adequately and carefully remove all these toxic substances from the soil leaving the soil free of contaminations. They are usually less expensive and eco-friendly. These pollutants are usually remediated using five different applications; Phyto-extraction, phyto-stabilization, phyto-filtration (Rhizo-filtration), phyto-volatization, phyto-transformation (Phyto-degradation). Different plants have been identified as phyto-remediators and are capable of bio-accumulating shallow contaminants, toxic metals, organic and nutrients pollutants into their different harvestable body parts; like the leaves, root, shoot and stem thereby stabilizing the soil of variety of pollutions. The plants that are efficient in remediating the soil are also called ‘Hyper-accumulators’ they thrive well in a toxic environment. They concentrate heavy metals like; Pb,","PeriodicalId":286208,"journal":{"name":"Review of Environment and Earth Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122690212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Post Disaster Recovery Process of Landslides in Developing Countries: A Case Study of Aranayake Landslide - Sri Lanka","authors":"E. Perera, D. Jayawardana, M. Ranagalage","doi":"10.18488/journal.80.2019.61.14.23","DOIUrl":"https://doi.org/10.18488/journal.80.2019.61.14.23","url":null,"abstract":"The basic principle for the recovery of residential area from a landslide disaster is restoring the damaged area to its condition before the disaster. This study focuses on evaluates the recovery process and reinstallation of pre-disaster economic functions after the landslide occurred in the year 2016 at Aranayake, Sri Lanka. Estimated values of the collapsed infrastructure is 7,806 USD, and the affected region generates 200 000 USD for the annual country GDP. In contrast, 887 families directly or indirectly affected by the landslide. The primary data were obtained from comprehensive questioner survey of affected household (n=120), semi-structured focused group discussions, and key informant discussions. Recovery was assumed as a function of emergency recovery (ER), infrastructure resettlement (IR) and long-term recovery (LtR). Correlation analysis and multiple regression analysis were used to model the association between dependent variable Recovery and independent variables ER, IR and LtR. The findings revealed that, there is no systematic procedure used to monitor the progress of recovery programme. LtR has a profoundly positive effect on recovery with compared to IR and ER. Results suggest that ER and IR are individually insignificant but they effect on recovery jointly. Multiple regression model can be expressed as Recovery = 0.205+ 0.640ER + 0.124IR + 0.249LtR. The finding of this study is recommended to establish an institutional framework to monitor, evaluate and rectify the disaster recovery process with standardized indicators, procedures, and guidelines. Further, it is recommended to adopt a community based long-term recovery approach for sustainable landslide disaster recovery.","PeriodicalId":286208,"journal":{"name":"Review of Environment and Earth Sciences","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115920824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}