International Conference on

Microplastics in Wastewater Treatment Plants (ICMWWTP-26)

Conference Date

17th Aug - 18th Aug 2026

Conference Venue

Cannes, France

Conference Mode

Hybrid Conference
Proudly organized by:- Science Leagues

"Join global experts in Microplastics in Wastewater Treatment Plants"

Registration Options

View all registration categories and choose the best fit.

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 6
SDG 6 Clean Water and Sanitation
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
SDG 14
SDG 14 Life Below Water
SDG 15
SDG 15 Life on Land
SDG 16
SDG 16 Peace, Justice and Strong Institutions
Track 01

Microplastics Removal Techniques in Wastewater Treatment

This session will explore innovative methodologies for the effective removal of microplastics in wastewater treatment plants. Emphasis will be placed on the efficiency of various physical and chemical treatment processes.

Track 02

Advancements in Filtration Technologies for Microplastics

This track will focus on the latest developments in filtration technologies aimed at capturing microplastics from wastewater. Participants will discuss the performance and scalability of these technologies in real-world applications.

Track 03

Membrane Bioreactors: A Solution for Microplastic Contamination

This session will delve into the role of membrane bioreactors in enhancing microplastic removal from wastewater. Discussions will include operational challenges and optimization strategies for these systems.

Track 04

Sedimentation and Coagulation Processes for Microplastics

This track will examine the effectiveness of sedimentation and coagulation processes in the removal of microplastics from wastewater. Participants will share insights on process optimization and performance metrics.

Track 05

Analytical Methods for Microplastic Characterization

This session will highlight cutting-edge analytical techniques for the characterization of microplastics in wastewater. Emphasis will be placed on the accuracy and reliability of these methods in various environmental contexts.

Track 06

Water Quality Monitoring and Microplastics

This track will address the significance of water quality monitoring in the context of microplastic pollution. Participants will discuss methodologies for assessing the impact of microplastics on water quality and ecosystem health.

Track 07

Sludge Management Strategies for Microplastic Reduction

This session will focus on effective sludge management practices that minimize the release of microplastics. Discussions will include treatment options and their implications for environmental sustainability.

Track 08

Contaminant Tracking and Microplastics in Wastewater

This track will explore the methodologies for tracking contaminants, including microplastics, throughout wastewater treatment processes. Participants will discuss the implications of these findings for regulatory compliance.

Track 09

Wastewater Reuse and Microplastic Concerns

This session will investigate the challenges and opportunities associated with wastewater reuse in the presence of microplastics. Emphasis will be placed on treatment efficacy and public health implications.

Track 10

Environmental Impact of Microplastics in Aquatic Systems

This track will examine the broader environmental implications of microplastic pollution in aquatic ecosystems. Participants will discuss research findings on the effects of microplastics on aquatic life and water quality.

Track 11

Process Modeling and Optimization for Microplastic Treatment

This session will focus on the application of process modeling techniques to optimize microplastic treatment in wastewater plants. Discussions will include case studies and predictive modeling approaches.