With evident relevance to SDG 6, the research explores a water pollution control technology evaluation model based on the Pythagorean language neutrosophic set (PLNS) in the context of the pulp and paper industry. The authors' model aims to assist in the choice of appropriate water pollution control technology for those working within the paper industry. It is tested in an example based in China.

Synergetic management of waste activated sludge, heavy metals (HMs) and CO2 for their valorization and cyclic utilization is rarely reported.

This year’s RELX SDG Inspiration Day will bring together global AI leaders, corporate representatives, investors, government, and NGOs to explore issues, gain practical insights and be inspired to take action in support of the Global Goals. Elsevier is proud to share this special collection of articles and chapters in celebration of this event.

This article covers a novel restoration strategy to minimize trade-offs between hydropower and fish habitat disruptions.

This chapter ties into Sustainable Development Goal 7 and Sustainable Development Goal 9 by promoting resource efficiency and cleaner energy processes through the sustainable utilization of combustion/incineration residues, and by fostering innovation in material utilization and supporting sustainable infrastructure development through the reuse of these residues in construction and industrial applications.

This article demonstrates a cost-effective way to leverage green hydrogen to decarbonize the global energy system.

In the pursuit of improving engine performance and mitigating emissions, researchers have explored the intriguing domain of fuel blends incorporating butanol and gasoline. This innovative study aims to unravel the intricate dynamics between butanol and gasoline when utilized as a blended fuel in internal combustion engines. The current study integrates cutting-edge techniques such as Artificial Neural Networks (ANN) and Response Surface Methodology (RSM) for the optimization of engine performance.