Chemometric approach in environmental pollution analysis: A critical review

环境数据 单变量 化学计量学 环境监测 环境污染 计算机科学 过程(计算) 环境分析 人口 数据挖掘 风险分析(工程) 环境科学 数据科学 多元统计 机器学习 环境工程 生态学 环境保护 操作系统 社会学 人口学 化学 生物 医学 色谱法
作者
Abel Inobeme,Vanya Nayak,Tsado John Mathew,Stanley Okonkwo,Lucky Ekwoba,Alexander Ikechukwu Ajai,Esther Bernard,Jonathan Inobeme,Marian Onwude Agbugui,Kshitij RB Singh
出处
期刊:Journal of Environmental Management [Elsevier BV]
卷期号:309: 114653-114653 被引量:19
标识
DOI:10.1016/j.jenvman.2022.114653
摘要

With the ever-increasing global population and industrialization, it has become a call of the hour to start taking care of the environment to balance the ecosystem. For this, effective monitoring and assessment are required, which involves collecting and measuring environmental details, temporal and spatial readings of environmental data, and parameters. However, assessment of the environment is very tedious as it includes monitoring target analytes, identifying their sources, and reporting, which invariably implies that detailed environmental monitoring would be an intricate and expensive process. The traditional protocols in environmental measures are often manual and time demanding, which makes it further difficult. Moreover, several changes also occur within the environment, which could be chemical, physical, or biological, and since these environmental impacts are often cumulative, it becomes difficult to measure an isolated system. Furthermore, the chances of skipping significant results and trends become high. Also, experimental data obtained from the environmental analysis are usually non-linear and multi-variant due to different associations among various contributing variables. Therefore, it is implied that accurate measurements and environment monitoring are not using traditional analytical protocols. Thus, the need for a chemometric approach in environmental pollution analysis becomes paramount due to the inherent limitations associated with the conventional approach of analyzing environmental datasets. Chemometrics has appeared as a potential technique, which enhances the particulars of the chemical datasets by using statistical and mathematical analysis methods to analyze chemical data beyond univariate analysis. Utilizing chemometrics to study the environmental data is a revolutionary idea as it helps identify the relationship between sources of contaminations, environmental drivers, and their impact on the environment. Hence, this review critically explores the concept of chemometrics and its application in environmental pollution analysis by briefly highlighting the idea of chemometrics, its types, applications, advantages, and limitations in the environmental domain. An attempt is also made to present future trends in applications of chemometrics in environmental pollution analysis.

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