Research on Efficient Detection and Monitoring Methods for Microplastic Pollution in Water
This study aims to develop an efficient method for monitoring microplastic pollution in water bodies.By integrating advanced technologies and analytical methods,an efficient and accurate system for detecting microplastic particles was established.The method includes steps such as sample collection,particle extraction and enrichment,characterization,and identification,with optimized instrument parameters.A classification model based on machine learning algorithms was developed to achieve rapid and reliable monitoring of microplastic pollution.Validation results demonstrated that the method exhibits high sensitivity,selectivity and stability,with excellent performance in microplastic particle identification and monitoring.
microplastic pollution in waterdetection methodmonitoringadvanced technologiesmachine learning
万方数据
维普
