In the absence of adequate and appropriate actions, hazards often result in disaster. Oil spills across any environment are very hazardous; thus, oil spill contingency planning is pertinent, supported by Environmental Sensitivity Index (ESI) mapping. However, a significant data gap exists across many low- and middle-income countries in aspect of environmental monitoring. This study developed a geographic information system (GIS)-based expert system (ES) for shoreline sensitivity to oiling. It focused on the biophysical attributes of the shoreline with Rivers State as a case study. Data on elevation, soil, relative wave exposure and satellite imageries were collated and used for the development of ES decision rules within GIS. Results show that about 70% of the shoreline are lined with swamp forest/mangroves/nympa palm, and 97% have silt and clay as dominant sediment type. From the ES, six ranks were identified; 61% of the shoreline has a rank of 9 and 19% has a rank of 3 for shoreline sensitivity. A total of 568 km out of the 728 km shoreline is highly sensitive (ranks 7–10). There is a clear indication that the study area is a complex mixture of sensitive environments to oil spill. GIS-based ES with classification rules for shoreline sensitivity represents a rapid and flexible framework for automatic ranking of shoreline sensitivity to oiling. It is expected that this approach would kick-start sensitivity index mapping which is comprehensive and openly available to support disaster risk management around the oil producing regions of the country.
Nigeria discovered crude oil in 1956. Instead of making sustainable economic progress since, the country spiraled into serious economic waste and loss, due to pollution from crude oil, corruption, neglect of the oil producing regions and high handedness of the IOCs/NOCs. Today, not only are legitimate oil exploration pipelines leaking oil into the environment, illegal artisanal refineries are contributing to pollution problems and by extension economic and health effects. This study thus investigated, effects of artisanal refinery on the environment, public health and socio-economic development of communities in the Niger Delta Region. The cross-sectional research design was used in this study. The target population comprised of illegal bunkering/artisanal refining sites and households that dwell within the artisanal refinery sites. The Taro Yamane formula was used to determine the sample sizes for state and 400 was realized for each state. 1324 artisanal refining sites were determined and using Taro Yamane equation 313 sites were derived. The Kruskal-Wallis H test was used for data analysis. The study found that, locals complained about how artisanal refineries affected their environment, health and economics. These effects varied spatially based on the result of the Kruskal Wallis test at P<0.05. However, some of the locals identified that, despite the environmental pollution because of illegal artisanal refining in the area, some economic gains abound. It is therefore the position of this study that artisanal refining be improved, so that the environmental and health effects be reduced, while making room for sustainable economic development.
The influence of the seasons of the year on beach changes is well documented in the literature. One generalization which has emerged is that beaches are 'combed down' in winter and 'built up' in summer. Some workers have disagreed with this dictum because field evidence does not necessarily support the assertion.This study, located in the humid tropics, shows, with the aid of graduated pegs emplaced perpendicularly to the shoreline, that the magnitude and frequency of beach changes are greater in the wet, than in the dry season. Furthermore, there is a net loss of beach materials in the wet season and a net gain in the dry season, even though erosion and accretion occur throughout the year with no statistically significant difference in their magnitudes.Erosion prevails at the northern half of the beach while accretion is dominant to the south. The upper and lower foreshore zones are more prone to changes than the mid-tide level.
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