Achieving the sustainable waste management of medical plastic packaging using a life cycle assessment approach.

Hospital waste management often classifies all waste, including uncontaminated plastic packaging, as hazardous, leading to incineration as the primary treatment method. While effective for safe treatment, incineration incurs high costs and significant environmental impacts. This study explores an alternative approach through the segregation and sustainable management of plastic packaging waste derived from medical device use to mitigate these environmental consequences.

Innovative interpretable AI-guided water quality evaluation with risk adversarial analysis in river streams considering spatial-temporal effects.

Water security remains a critical issue given the looming threats of industrial pollution, necessitating comprehensive assessments of water quality to address seasonal fluctuations and influential factors while formulating effective strategies for decision makers. This study introduces a novel approach for evaluating water quality within a complex riverine zone in South Korea: Han River that encompasses five river streams situated at each junction of North and South streams (including Gyeongan Stream) that ultimately leading towards Paldang Lake. By utilizing the monthly water characteristic data from the year 2013-2022 across 14 different locations, the significant seasonal trends and potential influences on water quality are identified.

Active Learning-Based Guided Synthesis of Engineered Biochar for CO Capture.

Biomass waste-derived engineered biochar for CO capture presents a viable route for climate change mitigation and sustainable waste management. However, optimally synthesizing them for enhanced performance is time- and labor-intensive. To address these issues, we devise an active learning strategy to guide and expedite their synthesis with improved CO adsorption capacities.

Smart solutions for clean air: An AI-guided approach to sustainable industrial pollution control in coal-fired power plant.

Conventional fossil fuels are relied on heavily to meet the ever-increasing demand for energy required by human activities. However, their usage generates significant air pollutant emissions, such as NO, SO, and particulate matter. As a result, a complete air pollutant control system is necessary.

Rethinking of the future sustainable paradigm roadmap for plastic waste management: A multi-nation scale outlook compendium.

The myriad consumption of plastic regularly, environmental impact and health disquietude of humans are at high risk. Along the line, international cooperation on a global scale is epitomized to mitigate the environmental threats from plastic usage, not limited to implementing international cooperation strategies and policies. Here, this study aims to provide explicit insight into possible cooperation strategies between countries on the post-treatment and management of plastic.

Non-Gaussian multivariate statistical monitoring of spatio-temporal wind speed frequencies to improve wind power quality in South Korea.

The spatial and temporal variability of renewable energy resources, particularly wind energy, should be statistically evaluated to achieve sustainable economic development to mitigate climate change. In this study, a non-Gaussian multivariate statistical monitoring approach is proposed to investigate the wind speed frequencies across different regions of South Korea. Anemometer data were first collected in 11 different provinces of South Korea with hourly resolution for one year.

Blockchain as a frontier in biotechnology and bioenergy applications.

The fourth Industrial Revolution is stimulating a fast-paced and resilient industrial internet of things (IIoT) ecosystem. Blockchain, a decentralized digital ledger technology, plays a crucial role in improvising, securing, and streamlining traditional biotechnology-related industrial processes with IoT and creates a sustainable nexus between social, economic, and environmental aspects.