随着工业增长和人口增长迫在眉睫,尼日利亚将继续经历水质的重大变化,随着新兴污染物的增加。这将增加水质信息的不规则性和复杂性。因此,使用PRISMA荟萃分析方法,这篇综述系统地确定了尼日利亚常用的水质评价技术,这些技术应用的缺点以及2003年至2023年在水质评估和监测领域的差距。还根据对新研究方向的评估提出了建议;通过审查尼日利亚监测水质的先进技术的有效性。选择了68篇已发表的文章进行荟萃分析,而VOSviewer程序用于进行书目耦合和可视化。该综述显示,机器学习在水质预测中的应用在尼日利亚尚未得到很好的探索。这归因于数据可用性有限和政府资金不足。研究发现,与其他地区相比,尼日利亚西南部对地下水质量监测和评估的研究更多。这种变异性是由潜在地质的变化来解释的,含水层特征;人为活动的变异性,以及各个地缘政治地区的文化水平。进一步的研究应侧重于软计算和集成生物监测技术的应用,以有效预测和监测新兴污染物,以改善水质。建议环境利益相关者与政府机构之间进行有效合作,以实现有效的水资源可持续性。
With the imminent industrial growth and population increase, Nigeria will continue to experience significant shifts in the quality of water, with a rise in emerging contaminants. This will increase the irregularity and complexity of the water quality information. Therefore, using the PRISMA meta-analysis approach, this
review systematically identified the commonly used water quality assessment techniques in Nigeria, the drawback in the application of these techniques as well as the gaps in the area of water quality assessment and monitoring from 2003 to 2023. Recommendations were also made based on the evaluation of a new research direction; through the
review of the effectiveness of advanced techniques for monitoring water quality in Nigeria. Sixty-eight published articles were chosen for the meta-analysis while the VOSviewer program was used to perform bibliographic coupling and visualization. The
review revealed that the application of machine learning in water quality prediction has not been well explored in Nigeria. This is attributed to limited data availability and poor funding by the government. It was found that southwestern Nigeria has a greater amount of research on groundwater quality monitoring and evaluation than other regions. The variability was explained by variations in the underlying geology, aquifer features; variability in anthropogenic activities, and level of literacy among various geopolitical zones. Further studies should focus on the application of soft-computing and integrated biomonitoring techniques for effective prediction and monitoring of emerging contaminants for improved water quality. Effective collaboration between environmental stakeholders and government agencies is recommended for effective water resource sustainability.