This chapter aligns with SDG Goals 3 and 6 by focusing on removing pollutants from water systems to improve water quality.
This article explores innovations in Fenton technology to enhance wastewater treatment, including using co-catalysts and engineering catalyst microenvironments to overcome challenges like iron sludge and pH limitations.
This study presents a deep learning framework using convolutional neural networks (CNNs) to efficiently replicate high-resolution outputs of conventional hydrological models for estimating groundwater head and surface water depth in the Sabgyo Stream Watershed, South Korea, achieving a 45-fold reduction in computation time compared to a physics-based model while demonstrating potential for predictive capabilities under future climate scenarios, although further improvements are needed for long-term accuracy.
This paper highlights the urgent need to enhance water system resilience in response to climate-induced scarcity, using a dynamic multisectoral model to analyze the macroeconomic impacts of temporary water shortages, revealing how firms' investment foresight influences their responses and the economy, with sector-specific insights indicating both negative impacts, particularly in agriculture and energy, and potential competitive benefits in certain sectors, ultimately recommending that firms prioritize anticipation and resilience-building measures across all sectors.
RELX SDG Inspiration Day 2024: Leading edge discussion on AI for sustainable development: the risks and opportunities
The tenth RELX SDG Inspiration Day - a free, online event for thought leaders, corporate representatives, students, investors, government and NGOs to explore issues, gain practical insights and be inspired to take action in support of the UN Sustainable Development Goals.
AI holds tremendous potential for advancing the United Nations Sustainable Development Goals (SDGs). AI, particularly generative AI, provides new opportunities to analyse data and trends at pace a
It is important to have scientifically analyzed data to support the policy direction for children's schools, as they are a vulnerable group when it comes to emerging infectious diseases. [hotspot – schools]
The article emphasizes the importance of providing training and supporting resources alongside open science initiatives to enhance accessibility and reduce barriers in the field. It suggests that these educational resources should be customized to cater to diverse user profiles, including neuroscientists, computational scientists, and educators.
The article highlights the rapid spatial succession and increasing community complexity in glacier-fed ecosystems, revealing the adaptive responses of organisms to environmental changes.
