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This project addresses simultaneous removal of ocean carbon removal and soluble oil-in-water contaminants through the creation of a Multi-Functional Remediation Framework (MF-RF), using collected Styrofoam ocean debris to, in turn, remove carbon contaminant.

Traditional methods for quality testing of water bodies are often slow and expensive, which limits the frequency at which these tests can be performed, often leading to late detection or complete oversight of water pollution. This delay can result in severe environmental damage and costly remediation efforts.

This research introduces an autonomous system that uses a drone to collect water samples from multiple water bodies within a 10km radius at conditionally predetermined intervals and transport them to portable analytical labs for frequent, cost-effective, and autonomous water testing, and analysis.

This project specifically addresses the development of an autonomous analytical lab, where tests are conducted to analyze four indicators which characterize water quality. If the results exceed the specified regulatory threshold level (RTL) set by the user, an alert is activated.

The study explores a process that conducts quick statistical analysis of the four indicators to assess the probability of pollution of the water body. If pollution is detected, the system recommends conducting further tests in a traditional lab to determine the specific nature of the contamination.

The Gulf of California is confronted with grave perils stemming from pollution generated by the productive activities transpiring in the adjoining basins. This study posits the implementation of a source-to-sea approach, aiming to comprehensively grasp the intricate interplay between inland and marine waters. To this end, an active investigation into the ramifications of shrimp farming in Bahía de Kino, Sonora, is underway. While aquaculture furnishes substantial economic and food security advantages, it also engenders pollution and necessitates substantial water usage. Addressing this predicament necessitates a solution that contributes to enhancing production practices by means of technology adoption and the active involvement of individuals. Hence, the primary objective of this project entails the development of a demonstrative initiative concerning the utilization of biofloc technology, which serves to curtail water consumption and pollution by facilitating the establishment of a transfer program to foster the implementation of said technology. The anticipated outcomes encompass a discernible reduction in the influx of contaminants into the sea, thereby safeguarding the marine ecosystems within the Gulf of California.

What is known as the aftermath of intensified flood events has similar impact on life below water. This increases the entry of fine sediment particles into streams as well as periodically dried soil due to a higher erosion and sediment mobility, combined with extensive agricultural land use along the water edges. This endangers key-stone species especially the brown trout salmo trutta fario due to clogged gravel-gap-systems they need to spawn. Within this study, a sediment trap was developed as a method for long-term sampling during spawning time and tested in five Bavarian streams. Furthermore, the impact of these sediment compositions on the development of brown trout eggs was determined to improve the success of in-situ-floating incubators to restore their populations.

Our project is nested in the water-food-energy nexus. Water quality monitoring is crucial, especially in communities dealing with water scarcity. However, current state-of-the-art systems are expensive and complex, thus unsuitable for developing countries and enthusiasts. Our innovation offers a modular, accessible, and affordable solution.
We developed a water control and monitoring unit combining the ESP-32 and Raspberry Pi microcontrollers with cloud-based databases, using well-established frameworks and industry-standard MQTT IoT protocols to ensure reliable communications and management of sensors. The system is intuitive for end-users and can be easily customized by adding sensors and switches. By using free, open-source software and custom hardware, we significantly reduced costs, making water monitoring more attainable and sustainable for communities passionate about environmental stewardship.

Water police action project originated from a continuous water wastage around the community of Galeshwe where our learners reside. The project implementation reached the school, car wash and hair salon, within the community of the learners. Learners observed, conducted interviews and implemented awareness campaigns to turn around the challenges that were presented from observations and interviews. The results of the awareness were observed from the reduced school water bill, reduced water wastage from the car wash and water use efficiency application at the hair salon. Furthermore, social media accounts for this project are gaining an active audience. It is recommended that this project is replicated in other communities so that its positive impact can be realised.

The project aimed to address the salinity and arsenic contamination of water sources in Bangladesh through a solar-powered distillation system and activated carbon treatment. The study found that the treated water samples demonstrated significant improvements in various parameters, including pH, TDS, EC, DO, BOD, COD, salinity, and arsenic levels, making them safe for consumption. The solar-powered distillation system effectively removed impurities and dissolved solids, while the activated carbon treatment eliminated additional harmful substances. The system proved to be cost-effective, eco-friendly, and scalable, offering a promising solution to the global water crisis. By providing clean and safe drinking water, the project aimed to improve the health and well-being of affected communities and contribute to a sustainable future.

Currently the existence of microplastics in different bodies of water is becoming a problem for the ecosystem of many species, including humans. For this reason, we evaluated the efficiency of ferrofluid as a technology for the extraction of microplastics in water samples.