Nigerian Coastal Environments

Zabbey, Nenibarini; Giadom, Ferdinand D.; Babatunde, B. B.

doi:10.1016/b978-0-12-805068-2.00042-5

Cited by 21 publications

(12 citation statements)

References 26 publications

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“…This value provides an indication of the confidence level for the neural network predictions. The typical occurrence times of the minimum and maximum surface air temperatures at dawn (between 03:00 and 05:00 LT) and in late afternoon (between 13:00 and 16:00 LT) are also replicated by the neural network predictions [24] , confirming the fidelity of this method for surface air temperature measurements.…”

Section: Methodssupporting

confidence: 60%

A median absolute deviation-neural network (MAD-NN) method for atmospheric temperature data cleaning

et al. 2021

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Some of the biggest challenges in climate change arise from bad dataset. To address this issue, we have developed a novel method for cleaning coarse atmospheric dataset; the median absolute deviation-neural network (MAD-NN) method. By combining the median absolute deviation (MAD) technique with neural network training, this method uses a sequence of steps to clean coarse atmospheric dataset and to predict high accuracy dataset for periods when measurements are not available. To demonstrate this method, we used atmospheric temperature data for 17 different observational weather stations across Nigeria. In brief: We developed a novel method for generating consistent data stream from coarse dataset. The MAD-NN method can be used to fill observational data gaps and remove spikes in data. This method is specifically useful for weather observatories with coarse atmospheric data, as well as increasing the credibility of scientific findings.

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Section: Methodssupporting

confidence: 60%

A median absolute deviation-neural network (MAD-NN) method for atmospheric temperature data cleaning

et al. 2021

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“…This is made possible by the rising tide which keeps the estuarine salinity high enough and shallow hydrology which creates an oxygen-rich environment, both of which are essential for their survivals ( Adey and Loveland, 2007 ). The Niger Delta Estuary makes up about 60 % of the estuaries in Nigeria; the largest of these estuaries is the Bonny Estuary ( Zabbey et al., 2019 ). The physicochemical and hydrological characteristics of estuaries provide essential habitat for birds, fish, amphibians, insects, invertebrates and other wildlife; this makes estuarine ecosystems economically important ( NOAA, 2020b ).…”

Section: Introductionmentioning

confidence: 99%

Ecological and human health risk assessment of total petroleum hydrocarbons in surface water and sediment from Woji Creek in the Niger Delta Estuary of Rivers State, Nigeria

Ihunwo

Onyema

Wekpe

et al. 2021

Heliyon

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This study was designed to assess total petroleum hydrocarbon (THP) concentrations in the surface water and sediment sampled from Woji Creek and to assess potential ecological and human health risk due to petroleum hydrocarbons along the creek. Physicochemical parameters [pH, temperature (T), electrical conductivity (EC), dissolved oxygen (DO), total dissolved solids (TDS)] were in-situ measured from sediment and surface water; hydrological parameters (width, depth and volume) were used to calculate the flow rate (discharge) at different stations of the creek. Trend of TPH in the surface water samples along the creek were as follows: St4 (3.639 AE 1.121 mg/L) > St3 (2.449 AE 0.623 mg/L) > St1 (1.457 AE 0.244 mg/L) > St2 (1.069 AE 0.228 mg/L) > St5 (1.010 AE 0.120 mg/L) Trend of TPH concentration across the creek was as follows: St1 -8.758 AE 0.697 mg/kg > St3 -7.675 AE 0.541 mg/kg > St5 -5.515 AE 0.401 mg/kg > St4 -5.075 AE 0.363 mg/kg > St2 -3.162 AE 0.307 mg/kg. Diagnostic indices indicate that the hydrocarbon in the creek was from petrogenic source. Estimation of ecological risk indicated risk in the surface water but not in the sediment. However, human health risk assessment indicated no risk due to human ingestion of the sediment or surface water.

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“…Another thing that is favouring these activities to grow in the Gulf of Guinea is the culture of these people and how some of them view this act of piracy. It is a fact that those conducting piracy activities are known by those living in their local communities and even their family members (Zabbey, Giadom, & Babatunde, 2019). However, no one is willing to mention their names to the relevant authorities about the criminal activities that those people do in society.…”

Section: Source: Tradingeconomiccom | Bureau Of Statistics Nigeriamentioning

confidence: 99%

A Pestle Analysis of Maritime Piracy and Maritime Security in the Gulf of Guinea

Ofosu-Boateng

Jiping²

2020

ASSRJ

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The Gulf of Guinea is a region that that draws a lot of interest to many nations in Latin America, Europe and West Africa. It is because these countries depend on this region for conducting their business. Most of the countries export their products and import other goods through the Atlantic Ocean (Ali, 2017). The discovery of oil in Nigeria led to increased business transaction in this region and thus, the development of the economy. However, it also led to the rise of piracy, which affected the maritime security of the area. Many ships and other sea vessels have been affected by the acts of pirates who attack the ships and steal the content being transported. Sometimes they could also hijack these vessels and demand for ransom for them to be released. The ability to counterattack the pirates and robberies in this region is affected by factors which range from political, economic, social, technological, legal, and environmental. Matters such weak governments and poor implementation of the laws and conventions make the countries in the region to lack ability to tackle pirates in the sea and thus have to rely on the international security agencies like Interpol policing and other forces to help in providing security in the sea (Hasan, & Hassan, 2016). Increase in population, lack of unemployment, and poverty are also some of the things which makes many youths in the region to participate in these criminal activities because they lack something constructive, which can generate income.

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Nigerian Coastal Environments

Cited by 21 publications

References 26 publications

A median absolute deviation-neural network (MAD-NN) method for atmospheric temperature data cleaning

A median absolute deviation-neural network (MAD-NN) method for atmospheric temperature data cleaning

Ecological and human health risk assessment of total petroleum hydrocarbons in surface water and sediment from Woji Creek in the Niger Delta Estuary of Rivers State, Nigeria

A Pestle Analysis of Maritime Piracy and Maritime Security in the Gulf of Guinea

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