Researchers developed a novel bioconversion system using mealworm and black soldier fly larvae to transform plastic waste into valuable by-products, including biochar and compost. The system has potential for large-scale adoption in sustainable waste management industries.
A new study showcases a cutting-edge biorefinery that converts sewage sludge and food waste into valuable volatile fatty acids. The biorefinery's dual benefits include efficient waste management and reduced fossil fuel dependency, with potential environmental improvements through location optimization and alternative chemical use.
Researchers unveiled an innovative system that outperforms conventional filtration methods by combining microbial electrochemical technologies with enhanced biodegradation processes. The biofilter demonstrates significant removal of pharmaceuticals and herbicides, altering their chirality to influence toxicity and biodegradability.
Researchers have developed a novel bioprocess that transforms carbon dioxide and electricity into single-cell protein, surpassing traditional sources like fish and soybean meal. The process produces a nutrient-rich food source with essential amino acids, offering a promising solution to global food security and climate challenges.
A recent study demonstrates the effectiveness of a new environmental policy, known as the Resident Work (RW) policy, in improving water quality in the Yangtze River Basin. The policy, launched in 2018, involved deploying scientific experts to cities across the region, resulting in significant reductions in total phosphorus concentration.
China has achieved significant progress in reducing PM2.5 concentrations by 35.6% since 2015, while also increasing non-fossil energy consumption to 17.5%. However, rising ozone levels and extreme weather events pose new challenges, emphasizing the need for adaptive measures and stricter air quality standards.
Researchers developed an explainable deep learning model to predict and analyze HABs in Chinese lakes and reservoirs, achieving significant improvement over conventional machine learning methods. The model identified water temperature as the most influential factor driving algal bloom dynamics.
Researchers have developed biophotovoltaic systems that convert sunlight into electricity, providing a clean and efficient source of energy. The study reveals the molecular mechanisms driving this technology, including extracellular electron transfer and electron transport chain optimization.
A recent study found a 59% decrease in river antibiotic pollution due to improved manure recycling and reduced direct discharge. However, this reduction came with an unintended consequence: increased antibiotic leaching into groundwater by 15%, mainly from expanded manure use as fertilizer.
Researchers developed a cutting-edge method leveraging Graph Neural Networks (GNNs) to predict mesozooplankton community dynamics and visualize their interactions. The study achieved remarkable improvements in forecasting accuracy by integrating inter-series relationships and temporal dependencies among input-variables.
The study reveals GenAI development's significant environmental impact, including hardware production's resource consumption and e-waste generation. Socially, the research exposes labor concerns and unequal access to AI systems, advocating for energy-efficient designs, improved labor conditions, and inclusive governance.
Researchers identified alkene ozonolysis as the dominant driver of O₃ formation during cold January days in Lanzhou, China. The study proposes actionable mitigation strategies to reduce O₃ levels by targeting alkene and nitrogen oxide emissions.
A groundbreaking study found a strong connection between long-term air pollution exposure and an increased risk of depression. Sulfur dioxide was identified as the most significant contributor, with fine particulate matter and carbon monoxide also linked to depressive symptoms.
A new study found that simple kitchen improvements can significantly reduce exposure to harmful pollutants, preventing over 67,000 premature deaths annually. Widespread implementation of ventilation systems could be an affordable solution to mitigate household air pollution in rural areas.
A collaborative research team introduced a new approach to sustainable development in arid river basins through a Grey Fractional Multi-Objective Programming (GFMOP) model. The study found that improving water use efficiency can reduce carbon emissions while safeguarding the environment.
Researchers developed a deep learning-based model to estimate rainfall intensity from surveillance audio, achieving a root mean absolute error of 0.88 mm h-1 and a coefficient of correlation of 0.765. This approach offers a new method for high-resolution hydrological sensing, contributing to environmental resilience and urban sensing.
A novel genus, Candidatus Alkanivoras nitrosoreducens, is described as potentially performing nitrite-driven anaerobic ethane oxidation. The study reveals a prospective fumarate addition pathway for anaerobic ethane oxidation and a complete denitrification pathway for nitrite reduction.
Satellite-based inversion system shows consistent decline in China's NOx emissions from 2020-2022, largely due to stringent air pollution controls. The industrial and transportation sectors accounted for more than 70% of the total reduction.
A study estimates that global ecosystems provide USD 112-197 trillion to the economy, with forests and wetlands accounting for nearly 80% of this value. Strong synergies are found among oxygen release, climate regulation, and carbon sequestration services, while trade-offs occur between flood regulation and other services.
Researchers have developed a cost-effective method to create waterproof and grease-resistant paper coatings using extracellular polymeric substances (EPS) from anaerobic granular sludge. The study found that EPS derived from waste sludge can improve paper coating properties, including water/grease-proofing behaviour.
Competitive DOM removal impacts OMP adsorption, with nonpolar molecules having higher competitiveness due to medium aromaticity. Aromatic DOM is not competitive against OMPs in adsorption, contrary to initial expectations.
Research in Frobisher Bay, Nunavut, reveals both local source and long-range transport impacts on marine sediment contaminant levels. Local activities like construction and airport operations contributed to pollutant inputs, while legacy military sites and fossil fuel burning also played a role.
Researchers examined lake partial carbon dioxide pressure variability to improve global estimation accuracy. They found significant seasonal fluctuations and trophic state effects on CO2 emissions, leading to variable emissions across lakes with different characteristics.
Smarter eco-cities harness real-time data to address environmental challenges and implement innovative approaches for ecological conservation. However, high energy demands associated with AI and AIoT applications pose a challenge to attaining environmental objectives.
A study reveals that annual carbon emissions from Qingzang Plateau lakes have declined, with some shifting from carbon sources to sinks between 1970-2000 and 2000-2020. This finding has implications for global warming and climate change estimates relative to China.
A recent study found that microplastics and triphenyltin have a combined toxic effect on the gut-brain axis in common carp. The pollutants amplified toxicity when used together, causing changes in gut microbiome and immune system function.
The new digital decision support tool DAKIS was developed to help farmers transition to diversified and sustainable agricultural systems. It integrates large datasets, extracts critical analysis, and provides actionable crop management options.