To investigate the impact of density currents brought by the mainstream of Yangtze River on the distribution of dissolved CH₄ in its tributaries, three representative tributaries-Xiaojiang, Daning, and Shennong Rivers were selected as the study sites. Spatial measurements of dissolved methane（CH₄）concentrations in the surface water were conducted using a Fast-Response Automated Gas Equilibrator（FaRAGE）coupled with a greenhouse gas analyzer. The results were shown to vary in CH₄ concentrations among the tributaries, with average concentrations being（0.06±0.02）µmol/L in Xiaojiang,（0.17±0.12）µmol/L in Daning, and（0.16±0.14）µmol/L in Shennong Bays. The CH₄ concentrations in these three bays were also found to exhibit distinct spatial heterogeneities. In Xiaojiang Bay, a pattern was observed where high surface concentrations and low bottom concentrations were present in the midstream, while higher concentrations were found at the bottom compared to the surface in both the upstream and downstream areas. Comparable distribution patterns of CH₄ concentrations were noted in Daning Bay and Shennong Bay, characterized by higher concentrations upstream compared to downstream, and higher concentrations at the bottom layer relative to the surface layer. It was found that the distribution of dissolved CH₄ concentrations in the tributary bays was influenced by environmental factors. Furthermore, the density currents from the mainstream were not only found to dilute the dissolved CH₄ concentrations in the bays but also indirectly altered their distributions by influencing the hydrological and hydrodynamic processes within the tributary bays. The integrated effects revealed the complex dynamic processes of CH₄ production and consumption within the bay ecosystems, which were of great significance for understanding and predicting the greenhouse gas emissions from the bays of the Three Gorges Reservoir.

Under the synergistic advancement of global climate governance and China's "Dual Carbon" strategy, the development of forestry carbon sink systems urgently required breakthroughs in carbon quantification bottlenecks within seedling production. Edible raw material forests played an important role in improving the ecological environment and increasing economic growth, and estimating the carbon footprint of seedling production was crucial for assessing the carbon sink of forestry. By surveying existing star anise nursery operations for primary data in Guangxi, a new process-based life cycle inventory（LCI）dataset an 8cm×12cm star anise seedling of a typical edible raw material forest production system was created, covering three stages from seed collection to the transportation of seedlings to retailers. Incorporating the new LCI data into life cycle assessment（LCA）method, the total global warming（GW）impact of a star anise seedling was 0.145kgCO₂e, of which energy and materials consumption constituted 57.2% and 28.8% of total emissions. Electricity use is dominated by irrigation demands（75.9%）and water was estimated to be just over half of these emissions（60%）. Among the production activities, the total environmental impact of the product was dominated by the irrigation at the field container seedling stage, which contributed 0.07kgCO₂e/seedling. In this case, the change in energy consumption had a notable impact on the carbon footprint, with a sensitivity of 0.804. Among them, the input of diesel had the largest impact on carbon footprint（42.4%）. The results indicated that optimizing clean energy structures and implementing efficient water and nutrient management strategies could significantly reduce carbon emissions during seedling cultivation and offered practical guidance for advancing carbon labeling systems for edible forest products and supported forestry carbon neutrality progress.

The rapid detection of biological toxicity of Marine pollution is of great significance to the emergency monitoring of sudden Marine water pollution accidents, the rapid investigation and evaluation of Marine environment ecological risks, and the protection of Marine environment. However, existing biological toxicity detection methods have a long toxic response time, and it is difficult to realize the rapid response of Marine pollutants. In view of this, this study has taken the active marine microalgae, Platymonas subcordiformis, as the test organism to study its mobility response to typical heavy metal pollutants Mercury（Hg）and Chromium（Cr）in seawater, in order to provide a basis for establishing a rapid detection method for marine biological toxicity. The results ha showed that within 2h, the motion parameters of the Platymonas subcordiformis, including movement mode, movement ability, and swimming velocity, exhibited significant response characteristics to 0.075~2.5mg/L Hg and 0.1~3mg/L Cr, and there was a good dose-response relationship between the motion parameters and the concentrations of the two independent heavy metals；The 2h-EC₅₀ values of Hg and Cr obtained based on different motion parameters were 0.63~2.38mg/L and 0.60~2.49mg/L, respectively；Overall, among different motion parameters, the curve velocity（VSL）has the most sensitive response to the toxicity of heavy metals Hg and Cr. The 2h-EC₅₀ values of Hg and Cr obtained using VSL as the response index are 0.63 and 0.60mg/L respectively. The above results are comparable to traditional toxicity tests（including microalgae 72-hour growth inhibition test, 24~48 hours photosynthesis inhibition test, and 96-hour fish death test）, and the toxicity response time is significantly reduced, indicating that microalgae motility as a new biological testing indicator can quickly and effectively evaluate the toxicity of marine heavy metal pollutants.

This study investigated the relationship between Dicer expression levels and urinary arsenic metabolites both in vivo and in vitro, as well as examined the role of Dicer in cell proliferation. For the epidemiological analysis, workers from a high arsenic-polluted factory in Yunnan Province were selected as the arsenic-exposed group, while residents from nearby villages without arsenic exposure history were recruited as controls. Urinary arsenic species（inorganic arsenic, monomethylarsonic acid [MMA], and dimethylarsinic acid [DMA]）were quantified, and Dicer mRNA expression levels in peripheral blood were measured. It was found that the relative Dicer mRNA expression in the arsenic-exposed group was significantly elevated compared to controls. Furthermore, Dicer mRNA levels were positively correlated with urinary inorganic arsenic, MMA, and DMA concentrations. For in vitro experiments, human bronchial epithelial cells（16HBE）were treated with sodium arsenite（1.5, 3, 4.5µmol/L）or 4.5µmol/L MMA, DMA, or sodium arsenite. Dicer mRNA and protein expression were analyzed by RT-qPCR and Western blot. Additionally, Dicer expression was knocked down in 16HBE cells using siRNA, and cell viability and proliferation were assessed via CCK-8 and EdU assays. It was observed that Dicer mRNA and protein levels in 3 and 4.5µmol/L sodium arsenite-treated cells were significantly upregulated compared to untreated controls, whereas no changes were detected in MMA- or DMA-treated groups. Knockdown of Dicer was shown to suppress cell viability and proliferation. Notably, sodium arsenite exposure combined with Dicer knockdown resulted in a more pronounced reduction in cell proliferation rates.

To elucidate the potential ecological risks of carbon dots, a novel nanomaterial, this study investigated the physiological responses and underlying mechanisms of the freshwater microalgae Euglena gracilis following exposure to pristine carbon dots（CDs）and Cu-N-doped carbon dots（Cu-CDs）. The results demonstrated that both types of carbon dots initially promoted but subsequently inhibited the growth of E. gracilis over time. Compared to CDs, Cu-CDs exerted a more pronounced impact on key physiological processes, including photosynthesis and antioxidant defense. Exposure to 1mg/L and 10mg/L Cu-CDs resulted in the accumulation of photosynthetic pigments and a decline in photosystem II activity, whereas a significant change in photosynthetic pigment content was observed only at 10mg/L in the CDs-exposed group. The maximum inhibition rates of superoxide dismutase activity induced by CDs and Cu-CDs were 62.52% and 78.35%, respectively. Metabolomics analysis further confirmed that Cu-CDs triggered a stronger metabolic disturbances, with the most notable alterations observed in lipid metabolism pathways, indicating compromised membrane stability of E. gracilis. Disruptions in amino acid and photosynthetic metabolism pathways were primarily attributed to oxidative stress. Additionally, both CDs and Cu-CDs affected energy metabolism by altering in alanine, aspartate, and glutamate metabolism, as well as glycolysis/gluconeogenesis pathways. Overall, the impairment of photosynthetic and antioxidant system may represent the primary toxic mechanisms of carbon dots in E. gracilis.

Based on the methodology of life cycle assessment（LCA）, the carbon footprint of the typical wind power system with generation and electricity storage（WPSGES）in China was calculated, so as to identify the reduction potential of carbon emission from life cycle stages. The results showed that the carbon footprint of WPSGES was 8.44gCO₂/（kW·h）, which mainly came from the manufacturing process by 6.25gCO₂/（kW·h）（74.05%）. Such processes as construction, operation, and end of life only contributed 1.04, 1.91 and -0.74gCO₂/（kW·h）, respectively. It was also confirmed that expanding the system boundary, including power generation and storage, could reduce gross carbon footprint of WPSGES.

This study conducted a comprehensive life cycle assessment of the carbon footprint associated with the solidification/stabilization combined with barrier backfilling（SSB）technology through a typical heavy metal-contaminated site case in South China. Using the emission factor method and life cycle impact assessment approach, we quantified the environmental impacts across the entire remediation process. The results revealed that the SSB technology exhibited a carbon emission intensity of 0.190t CO₂/m³ contaminated soil. The most important carbon emission unit processes were primary treatment（33.7%）, site construction（32.7%）, and barrier backfilling（31.9%）. Material production emerged as the principal emission source, with concrete manufacturing contributing 51.9% and solidification/stabilization reagents accounting for 33.4% of total emissions. The comprehensive environmental impact score of this case reached 84.3kPt. The implementation process of risk control exerted the most significant human health impacts, which were primarily contributed by the formation of fine particulate matter during construction activities and the global warming potential.

Based on panel data of 284 cities at or above the prefecture level in China from 2012 to 2022, this paper studied the impact of new quality productivity on green innovation efficiency and the moderating effect of urbanization in this process by using fixed effect model, moderating effect model and general nesting spatial model. It was found that:（1）New quality productivity was confirmed to significantly enhance green innovation efficiency, a conclusion that still held after a series of robustness tests.（2）The promoting effect of new quality productivity on green innovation efficiency was most significant in the eastern region, followed by the central region, while no significant impact was observed in the western region.（3）Urbanization played a positive moderating role in the process of new quality productivity promoting green innovation efficiency.（4）New quality productivity was shown to generate positive spatial spillover effect that effectively improved green innovation efficiency of neighboring regions. Therefore, it was recommended to actively cultivate new quality productivity, optimize the innovation environment according to regional characteristics, vigorously promote the green urbanization process, and establish efficient regional cooperation mechanism to fully unleash the potential of new quality productivity and accelerate the green transformation of the economy and society.

In order to quantitatively analyze the impact of inspection and enforcement on the autonomous acceptance system towards regional environmental qualities, 47870public administrative penalty cases of illegal autonomous acceptance from 2018 to 2023 have been collected. Correlation analysis has been conducted on simulated environmental qualities based on penalty cases with real regional environmental qualities on 13 provinces that had been national warned for bad environmental qualities. Research found a significant correlation between combined autonomous acceptance and general enforcement with environmental qualities. A goodness of fit at R²=0.8051was found when bringing the percentage of autonomous acceptance cases over all administrative penalty cases as the second variable besides average penalty frequency. Yet found no significant correlation between general environmental enforcement and environmental qualities. Therefore, it was suggested that the inspection and enforcement on autonomous acceptance system leveraged more impact on environmental qualities than general environmental inspection and enforcement. The case analysis found that there was no significant difference in the fine amount for cases of "fraud" in autonomous acceptance compared to other cases. Legal analysis has found that there was a certain degree of functional overlap between autonomous acceptance and Pollutant discharge permit system, but there were still significant differences between the two in terms of regulatory objects and regulatory content.

The emission of volatile organic compounds (VOCs) significantly contributes to the atmospheric oxidative balance and secondary organic aerosol (SOA) formation, thereby influencing global climate. Reactive substances such as methane, non-methane hydrocarbons, dimethyl sulfide, and halocarbons in the ocean are important components of VOCs, primarily produced through biological and non-biological processes. To date, substantial research has been conducted on the source-sink processes of marine VOCs and their response mechanisms to environmental factors. However, much of this research has focused on biological processes, overlooking the contributions of photochemical processes involving dissolved organic matter (DOM) in the sea surface (micro) layer, which may result in an underestimation of their emissions. In recent years, marine photochemistry, particularly the photochemical processes of DOM in the sea surface micro-layer, has gained increasing attention. This review systematically examines the research progress on the sources and emission fluxes of marine VOCs, with a focus on the mechanisms of VOCs production via DOM photochemistry, their response to environmental factors, and their implications for climate change. Furthermore, future research directions are proposed from the perspectives of technological innovation, mechanism exploration, and environmental assessment. Long-term observation and simulation studies of photochemical processes of DOM in the sea surface micro-layer are highlighted as crucial for revealing the response of marine VOCs photochemical production to human activities and its impact on climate change.