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Full Description
This book is an extensive work that provides valuable insights into the use of chemometric techniques for the analysis and interpretation of complex data from oil spill disasters. The book's main goal is to give forensic chemists, environmental scientists, and business experts cutting-edge techniques for precisely identifying, categorizing, and tracking the causes of oil spills in order to improve response plans and lessen their negative effects on the environment.
Through the use of chemometric methods to evaluate weathering effects and distinguish between possible origins, the book offers an organized method for conducting forensic examinations of oil spills. In order to support legal processes and environmental assessments, this framework improves the objectivity and effectiveness of forensic analyses. The book contains case studies that show how chemometric approaches can be successfully applied in actual oil spill situations. These real-world examples give readers insight into how the approaches described might be applied in different situations and demonstrate how beneficial they are.
Contents
1 Recognition Using Numerical Methods Approach.- 2 Classification of Similar Chemical Properties in Oil Spills.- 3 Dimensionality Reduction of Oil Spill Variables.- 4 Contaminant of Polyaromatic Hydrocarbon in Oil Spills.- 5 Solving Pattern Recognition Challenges Using Artificial Neural Networks (ANNs).- 6 Bridging Machine Learning and Oil Spill Data.
