The effects of oil spills in the Niger Delta has caused unending menace to the quality of drinking water in most wells and boreholes of the area as most of the wells are shallow and are susceptible to contamination due to the nature of its Geology. The aim of this paper is to develop a database on how oil spills affects water quality which is one of the most crucial resources in the Niger Delta. The study uses existing oil spills data to show the areas and extent of oil pollution in the Niger Delta. Geospatial analysis was used to design an oil spill data base comprising the logical, physical, and conceptual data base design. Visio was used for the design of the entity relationship (ER) diagram of the study. The Kernel density and Getis-Ord G* statistic were used in GIS to map the oil spill areas in the region. Results of spatial spill distribution from the Kernel density and Getis-Ord G* statistic revealed that three states of the Niger Delta namely, Bayelsa, Rivers, and Delta states are the hottest spots for oil spill occurrences and distribution. The ER chart showed the relationships between the pollution sources, their pathways, and the receptors. The ER diagram developed could be of significance to environmentalists and other stakeholders in understanding the processes through which contaminants get to the various compartments of the earth system.
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机译：由于大多数井是浅，因此，由于大多数井，因此由于大多数井是浅，因此易于植物的饮用水和饮用水质量的饮用水的影响。本文的目的是开发一个关于石油泄漏如何影响水质的数据库，这是尼日尔三角洲最重要的资源之一。该研究使用现有的漏油数据来展示尼日尔三角洲石油污染的领域和程度。地理空间分析用于设计包含逻辑，物理和概念数据库设计的漏油数据库。 Visio用于设计研究的实体关系（ER）图。在GIS中使用内核密度和Getis-ORD G *统计来映射该区域的漏油区域。从核密度和Getis-ORD G *统计中的空间泄漏分布结果显示，尼日尔三角洲的三个州，帕斯拉，河流和三角洲国家是漏油机出现和分布的最热门点。 ER图表显示了污染源，途径和受体之间的关系。开发的ER图可能对环境主义者和其他利益相关者具有重要意义，了解污染物通过地球系统的各个隔间的过程。
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