A comparative study on contamination profiles of liquid crystal monomers (LCMs) between outdoor and indoor dusts, and the assessment of health risk of human exposure.

Liquid crystal monomers (LCMs) are ubiquitous in various environmental samples, which has led to increasing concerns regarding their potential health risks to humans and wildlife. However, the comparison of the contamination patterns of LCMs between indoor and outdoor environments has rarely been studied. In this study, 35 LCMs were investigated in n = 55 dust samples collected from indoor (n = 20) and outdoor (n = 35) spaces in Yulin, Northwest China.

Quantitatively unveiling the role of coastal wetlands in regulating eutrophication and enhancing water environmental capacity.

Human activities have intensified the global challenge of coastal eutrophication. Recently, water resource managers have encountered difficulties in formulating precise pollutant reduction strategies to mitigate coastal eutrophication. Despite the recognized importance of coastal wetlands and pollution sources in influencing coastal nutrient levels, accurately quantifying their impact remains difficult.

Education and technological innovation in mitigating CO emissions and fostering green economic growth in China: Marginal effects and policy threshold analyses.

This study makes a significant contribution to China's ambitious goals of achieving carbon dioxide (CO) neutrality and transitioning to green economic growth (GEG), and integrating the theoretical framework of the impact, population, affluence, and technology (IPAT) theory, with real-world application to reduce CO and promote GEG for sustainable development. Furthermore, the study examines the ongoing theoretical debate on whether an inverted U-shaped environmental Kuznets curve (EKC) exists between technological innovations (TI) in environment-related fields and CO emissions in China, using data from 1990 to 2020 and employing the threshold instrumental variable two-stage least-squares (Th-IV2SLS) model. The findings indicate that all the variables representing education contribute to reducing CO emissions.

In-situ online investigation of biogenic volatile organic compounds emissions from tropical rainforests in Hainan, China.

Biogenic volatile organic compounds (BVOCs) emitted by tropical plants represent a significant proportion of global emissions, but the in-situ BVOC measurements in tropical rainforests are extremely sparse. Herein, a vehicle-mounted mobile monitoring system was developed for in-situ online investigations of BVOC emissions from thirty representative tree species in the tropical rainforests of Hainan Island, southern China. The results showed that monoterpenes were the primary BVOCs emitted from most broadleaf trees.

Spatial heterogeneity of the integrated risks of urban heat stress and flooding strike.

Clarifying the spatial heterogeneity of the multiple climate-related risks has increasingly become a prerequisite for urban risk management and sustainability. As the datasets become more detailed in social attribute's representation at the fine scale within-city level, in contrast to those at a coarse region level, there is a continuous need to examine the spatial heterogeneity of integrated risk assessment. In this study, we applied the hazard-exposure-vulnerability framework to investigate the spatial variations of the integrations of urban heat stress and flooding strikes at the street block scale within Shenzhen, China.

Typical Marine Ecological Disasters in China Attributed to Marine Organisms and Their Significant Insights.

Owing to global climate change or the ever-more frequent human activities in the offshore areas, it is highly probable that an imbalance in the offshore ecosystem has been induced. However, the importance of maintaining and protecting marine ecosystems' balance cannot be overstated. In recent years, various marine disasters have occurred frequently, such as harmful algal blooms (green tides and red tides), storm surge disasters, wave disasters, sea ice disasters, and tsunami disasters.

Source elimination of antibiotic resistance risk in aquaculture water by VUV/sulfite pretreatment.

Antibiotic resistance risk in the aquaculture industry is increasing with the excessive consumption of antibiotics. Although various efficient technologies for the degradation of antibiotics are available, the potential risk from antibiotic resistance in treated waters is often overlooked. This study compared the risks of antibiotic resistance in anaerobic sludge fed with pretreated florfenicol (FLO) containing wastewater after four UV or vacuum UV (VUV)-driven ((V)UV-driven) pretreatments, and established the VUV/sulfite recirculating water system to validate the effect of controlling the antibiotic resistance risk in the actual aquaculture water.

[Predicting Ozone Concentration in Hangzhou with the Fusion Class Stacking Algorithm].

Aiming at the problem that the single machine learning model has low prediction accuracy of daily average ozone concentration, an ozone concentration prediction method based on the fusion class Stacking algorithm （FSOP） was proposed, which combined the statistical method ordinary least squares （OLS） with machine learning algorithms and improved the prediction accuracy of the ozone concentration prediction model by integrating the advantages of different learners. Based on the principle of the Stacking algorithm, the observation data of the daily maximum 8h ozone average concentration and meteorological reanalysis data in Hangzhou from January 2017 to December 2022 were used. Firstly, the specific ozone concentration prediction models based on the light gradient boosting machine （LightGBM） algorithm, long short-term memory model （LSTM）, and Informer model were established, respectively.

How did the floating Ulva prolifera develop into the world's largest green tide?

It has been 16 years since the world's largest Ulva bloom appeared in the Yellow Sea. However, it remains unclear how the floating Ulva prolifera developed into the immense green tide within two months especially considering that source control measures have been conducted since 2019. In this study, we investigated the growth mechanism of the floating population by examining the production and regeneration of U.

Distribution of habitat suitability for Suaeda salsa in the Liaohe River Estuary and its relationship with carbon storage.

Suaeda salsa acts as a natural barrier between land and sea in estuarine wetlands while also serving as a significant source of carbon storage. Understanding the synergistic relationship between the spatial distribution of Suaeda salsa habitat suitability and its carbon storage capabilities is essential for guiding ecological restoration and bolstering the carbon sequestration potential of wetlands. Drawing on field survey data from the Liaohe River Estuary wetlands collected in 2021 and 2022, we applied the Maxent model to delineate the spatial distribution of Suaeda salsa habitat suitability.

Evolution of hydrochemical characteristics and the influence of environmental background in the Hailar River basin, China.

Understanding the evolution of hydrochemical characteristics in river systems is essential for environmental assessment and water resource management. This study explores the spatiotemporal distribution and the determinants of hydrochemical characteristics in the Hailar River basin, China, over an extensive period. Our results revealed that COD and COD were the primary concerns for long-term river management, with exceedance rates of 42.

Occurrence, distribution, and ecological risks of antibiotics and antibiotic resistance genes in the surface waters of Gaoyou Lake, China.

This work examined the occurrence characteristics and ecological risks of 31 antibiotics across five classes and seven ARGs in the surface waters of Gaoyou Lake. A total of 27 antibiotics, spanning four classes, were detected in the surface waters of Gaoyou Lake, with an overall concentration ranging from 57.5 to 114 ng/L and an average of 78.

Selection of engineered degradation method to remove microplastics from aquatic environments.

Microplastics (MPs) in the aquatic environment are difficult to degrade naturally due to their hydrophobicity and structure. A variety of engineered degradation methods were developed to treat MPs contamination in the aquatic environment. Current reviews of MPs degradation methods only provided an inventory but lacked systematic comparisons and application recommendations.

Mapping of oil spills in China Seas using optical satellite data and deep learning.

Oils spilled into the ocean can form various weathered oils (non-emulsified oil slicks (NEOS), oil emulsions (OE)) which threaten the oceanic and coastal environments and ecosystems. Optical remote sensing has the unique ability to discriminate oil types and quantify oil volumes as their spectral contrasts with oil-free seawater. Here, a deep learning-based model is developed for identification, classification, and quantification of various oil types.

Polycyclic aromatic hydrocarbons emissions from biomass-fueled boilers in China.

Biomass serves as a sustainable energy source; however, the environmental risks associated with polycyclic aromatic hydrocarbons (PAHs) emitted from industrial biomass-fueled boilers are not well understood. This study analyzed 16 priority PAHs in both particulate and gaseous phases from 13 representative real-world industrial biomass-fueled boilers. Flue gas samples were collected from the stacks and analyzed using advanced techniques.

Tire Wear Chemicals in the Urban Atmosphere: Significant Contributions of Tire Wear Particles to PM.

Tire wear particles (TWPs) containing tire wear chemicals (TWCs) are of global concern due to their large emissions and potential toxicity. However, TWP contributions to urban fine particles are poorly understood. Here, 72 paired gas-phase and PM samples were collected in the urban air of the Pearl River Delta, China.