SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4315-2
High-temperature X-ray imaging demands scintillators with high crystallinity, efficient scintillation, and robust thermal stability, yet suitable materials remain scarce. Here, we report an ultra-high-crystallinity transparent glass-ceramic (GC) scintillator strategically designed via controllable heat-treatment-induced crystallization. A sequential precipitation method is employed, where cubic CaF2 nanocrystals initially form, subsequently promoting heterogeneous nucleation and growth of hexagonal BaAl2Si2O8. Intrinsic nanoscale phase separation into F-rich and O-rich domains significantly reduces atomic diffusion distances, yielding an unprecedented crystallinity of up to 97.6%. Notably, defect traps (oxygen vacancy defects, likely located within the lattice or at crystalline/amorphous interfaces) enable efficient carrier capture and thermally stimulated release, contributing to remarkable resistance to thermal quenching. Consequently, the GC scintillator maintains 90.6% of its integrated X-ray excited luminescence (XEL) intensity at 300 °C, with the integrated XEL intensity reaching 94.2% of commercial Bi4Ge3O12 (BGO) at room temperature. This enables stable high-temperature X-ray imaging with a spatial resolution of ~10.4 lp mm−1 up to 225 °C. This work provides a versatile pathway for developing high-sensitivity scintillators for extreme-environment X-ray imaging.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202605010
The underwater light environment is a critical limiting factor for the colonization of submerged macrophytes and the ecological restoration of shallow lakes. Previous studies rarely quantified the contribution of aquatic environmental factors to the water quality–underwater light–macrophyte relationship, nor did they comprehensively consider factor correlations or establish thresholds for macrophyte colonization. This study, conducted in a typical national wetland nature reserve (Hongze Lake), measured photosynthetically active radiation, light attenuation coefficient (Kd), euphotic depth (Zeu), water transparency (SD), total suspended solids (TSS), chlorophyll-a (Chl-a), total nitrogen (TN), and total phosphorus (TP). A simulation model for Kd was developed, spatial distributions of environmental factors were analyzed, and contribution rates to light attenuation were quantified. Results showed that the mean Kd was 10.31±3.76 m⁻¹, and the mean Zeu (0.53±0.24 m) was lower than the mean water depth (0.94±0.29 m), with a spatial pattern of shallower Zeu in the west and deeper in the east. TSS and Chl-a were the primary direct influencing factors, while TN acted mainly indirectly. To achieve effective macrophyte colonization under average water depth conditions, thresholds were determined: Zeu ≥ 0.94 m, SD ≥ 0.41 m, Kd ≤ 4.95 m⁻¹, and Chl-a ≤ 3.8 μg/L. These findings provide quantitative guidance for lake restoration and water quality management.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202605009
Reservoir CO2 emissions are a critical component of the global carbon cycle, yet existing prediction models often neglect reservoir size stratification, mixing data from large, medium, and small reservoirs. This study addresses this gap by constructing a training dataset exclusively for large and medium reservoirs in China and developing a neural network-based CO2 flux prediction model. The model revealed significant latitudinal zonation, with CO2 fluxes in southern low-latitude basins (e.g., Yangtze, Pearl) substantially higher than in northern high-latitude basins (e.g., Yellow, Songliao). Statistical analysis identified total phosphorus (TP) content as the strongest driver, exhibiting a positive exponential correlation with CO2 flux (p < 0.01). Reservoir age and latitude showed significant negative correlations, while physical parameters such as reservoir area, pre-impoundment submersion ratio, and average water depth showed no significant national-scale correlation. The study underscores the heterogeneity of dominant drivers across basins and proposes differentiated carbon mitigation strategies: for southern high-emission basins, controlling phosphorus inputs through wastewater treatment and restricting aquaculture; for northern basins, enhancing soil conservation to reduce carbon-rich sediment influx; and for new reservoirs, implementing vegetation clearance before impoundment and optimizing flood discharge schedules. These findings provide a theoretical basis for carbon emission characterization and support low-carbon management of large and medium reservoirs in China.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202605008
Vegetable production is a significant source of greenhouse gas emissions, yet national-scale assessments comparing cultivation modes remain scarce. Using life cycle assessment (LCA) and provincial statistical data from 2018–2022 across 27 provinces, we quantified the carbon footprint (CF) per unit yield for 10 typical vegetables under open-field and facility farming. Results show annual average CFs range from 65.5 to 293.8 g CO2-eq/kg, with open-field radish lowest and open-field green bean highest. Spatial heterogeneity is pronounced, especially for facility eggplant and open-field green bean. CF exhibits distinct clustering: fruit vegetables emit more in central-southern open-field and northern facility systems, while leafy vegetables follow a 'south-high, north-low' pattern. Fertilizer production and field N2O emissions dominate, contributing up to 80.4% of total CF. In facility systems, irrigation electricity and agricultural film inputs become significant, reaching 57.87% contribution. These findings support region- and crop-specific mitigation strategies for China's agricultural dual-carbon goals.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025032504
The environmental persistence and ecotoxicity of diclofenac sodium (DCF), a widely used non-steroidal anti-inflammatory drug, necessitate efficient removal strategies. Covalent organic frameworks (COFs) have emerged as promising adsorbents. Here, a novel nanoribbon COF (COF-TFPPy-DGCl) was synthesized via condensation of 1,3,6,8-tetrakis(4-formylphenyl)pyrene and 1,3-diaminoguanidine hydrochloride. The material was characterized by SEM, TGA, FT-IR, and PXRD. Batch adsorption experiments evaluated the effects of pH, contact time, and initial concentration. COF-TFPPy-DGCl exhibited a maximum adsorption capacity of 370 mg·g−1 for DCF, with capacity decreasing as pH increased. Adsorption kinetics followed a pseudo-second-order model, and equilibrium data fitted the Langmuir isotherm. Selectivity tests demonstrated a DCF removal rate of 96.75%, significantly higher than for ciprofloxacin and bisphenol A (<20%). The adsorbent retained 80% of its capacity after five regeneration cycles, indicating high stability. Mechanistic studies revealed that adsorption is driven by a synergistic combination of electrostatic interactions (dominant), π-π stacking, and hydrogen bonding, facilitated by uniformly distributed active sites. Rapid equilibrium was achieved within 30 minutes. These findings establish COF-TFPPy-DGCl as a highly selective, stable, and regenerable adsorbent for DCF removal from water, offering a theoretical basis for designing advanced COF-based water treatment materials.