Development and Application of In-situ Microplastic Detection in Water Environments Using Electrical Sensing Zone Method Empowered by Machine Learning Techniques

Project Description

This collaborative research initiative aims to develop a novel and cost-effective approach for in-situ detection and monitoring of microplastic pollution in aquatic environments. The project utilizes the Electrical Sensing Zone (ESZ) method enhanced by machine learning (ML) techniques to improve accuracy, data interpretation, and real-time analysis. Ultimately, this innovation seeks to support water environment protection and sustainable development across developing countries within the Belt and Road region.

Project Objectives:

This project aims to develop a novel, cost-effective method for in-situ monitoring microplastic pollution in aquatic environments using the electrical sensing zone (ESZ) method empowered by machine learning techniques, with the goal of promoting its future application in support of water environment protection in developing countries within the Belt and Road region.

Activities to be performed:

-Joint Research on technology innovation

-Technology promotion and transfer

-Knowledge dissemination

-Regional networking