This study centers on environmental regulatory policies, employing a two-way fixed effect model to scrutinize their impact, underlying mechanisms, and theoretical implications on new quality productivity enhancement. A U-shaped correlation exists between environmental regulations and the enhancement of new quality productivity. Beyond a critical turning point, a 1% escalation in vertical environmental regulation intensity correlates with a 124.42% augmentation in high-quality economic development. Environmental regulations significantly bolster the advancement of new quality productivity levels in both eastern and western provinces of China. Environmental regulations serve as a catalyst in amplifying the mechanisms fostering new quality productivity, particularly by influencing the "new labor tools" and "new infrastructure" subsystems.

To address the problems of traditional methods lacking the characterization and assessment of internal environmental risks in chemical industrial parks, having single assessment indicators, and not considering the factor of risk prevention and control capabilities, a refined assessment method for sudden environmental incidents at the scale of chemical industrial parks was proposed based on the grid-based risk analysis method for sudden environmental incidents in administrative regions. This method refines the risk unit grid, optimizes the environmental risk field intensity model, improves the vulnerability standards for environmental risk receptors, and introduces a correction factor representing the level of environmental risk prevention and control. Taking a certain fine chemical industrial park along the Yangtze River in Jiangsu Province as an example, environmental risk assessments were conducted and compared using the original assessment method and the refined assessment method. Compared with the original assessment method, the refined assessment method better characterized the distribution of atmospheric and water environmental risks within the park. The number of people involved in the high-risk and medium-risk areas of the atmospheric environment in the study area increased by 17,000, and the areas of high-risk and high-medium-risk areas of the water environment increased by 0.91% and 9.45% respectively. This method can effectively establish the connection between environmental risk assessments at different scales such as chemical industrial parks and environmental risk enterprises, more accurately identify high-risk enterprise units and environmental receptors, and ensure the safety of the internal population and key water bodies in the park.

Volatile organic compounds（VOCs）were identified as chemicals that caused odor pollution in cars. Nanostructured water ion（EWNS）technology was demonstrated to be capable of producing large amounts of hydroxyl radicals to degrade VOCs, though systematic research on odor VOC removal had not been conducted. In this study, VOCs components from 9cars were first analyzed offline using TD-GC-MS, and the main odor VOCs in actual car interiors were determined through the comprehensive scoring method. A mixture gas containing the average concentration ratio of detected odor VOCs was then introduced into the experimental vehicle, where degradation efficiency was evaluated using EWNS technology. Human health risk assessment was also performed. The results revealed that aliphatic compounds were detected most frequently（7species）in car interior VOCs, while aromatic compounds were found to have the highest detection rate and concentration. Through odor identification scoring, xylene, toluene, ethyl acetate, o-xylene, n-butanol, and hexanal were selected as representative odor VOCs. After EWNS treatment, significant removal effects were observed for all representative odor VOCs, with toluene removal rate being recorded at 92.8%. However, EWNS degradation efficiency was found to vary with placement locations in the vehicle, where better removal effects were achieved in rear positions compared to front positions, potentially associated with hydroxyl radical diffusion efficiency. Meanwhile, the carcinogenic risks of benzene and ethylbenzene were significantly reduced, transitioning from carcinogenic risk to risk-free status.

Based on the high-density observation network of low-cost CO₂ analyzers deployed in Hangzhou, an analysis of CO₂ concentration spanning a complete one-year from April 2023 to March 2024 was conducted. The results showed that:（1）Under field observation conditions, low-cost instruments experience data gaps, with annual data collection rates at various stations ranging from 38.58% to 99.39%. The Mean Bias Error（MBE）for the two non-dispersive infrared（NDIR）instruments is（3.2±1.4）µmol/mol. Therefore, it is essential to enhance the data collection rate at stations when deploying high-density network.（2）Observation from NDIR-based low-cost instruments were highly sensitive to environmental variations, but could be effectively corrected by machine learning-based calibration schemes. After correction, the correlation coefficient R² between the network data and high-precision observation improved from 0.33 to 0.77, with the MBE of 1.2µmol/mol.（3）The high-density network of low-cost CO₂ analyzers was can effectively capture the spatio-temporal variability of CO₂ concentration. Diurnal variations and spatial distributions across stations reflected seasonal variations characteristics of urban CO₂ sources and sinks. The deployment of this network has demonstrated the feasibility of operating a low-cost, high-density monitoring system in cities with complex underlying surfaces, such as those in China. This approach provided a basis for estimating urban carbon emissions and evaluating the effectiveness of emission reduction measures.

Semi-volatile organic compounds（SVOCs）can be easily adsorbed by indoor surfaces and thus are difficult to be removed by ventilation or air purification. Photocatalytic oxidation technology has bright prospects in the field of indoor air purification, but its performance on removing indoor SVOCs is still unclear. In this study, we found that the commonly-used photocatalyst（P25titanium dioxide）could effectively degrade two typical indoor SVOCs（dibutyl phthalate（DnBP）and tri（2-chloropropyl）phosphate（TCPP））under the irradiation of both a 254 nm ultraviolet lamp and a fluorescent lamp, and the degradation process could be described by the first-order kinetic equation. Under the irradiation of fluorescent lamp, DnBP and TCPP were completely degraded within 120 and 42h, respectively, being significantly faster than the removal rate of ventilation and air purification for these two SVOCs. Furthermore, the degradation products and corresponding pathways of DnBP and TCPP were analyzed by gas chromatography-mass spectrometry coupled with proton transfer reaction time-of-flight mass spectrometer.

In this study, Jiangmen City was selected as a case study to investigate the characteristics and causes of heavy ozone（O₃）pollution days. Positive Matrix Factorization（PMF）and an observation-based model coupled with the CB06chemical mechanism（OBM-CB06）were employed as the analytical methods, integrating pollutant concentrations, meteorological data, photolysis data, and volatile organic compound（VOC）concentrations. The findings showed that heavy ozone pollution in Jiangmen resulted primarily from the early morning accumulation of precursors due to meteorological conditions, followed by enhanced photochemical reactions and poor dispersion after the O₃ concentration peaked. Notably, early morning concentrations of nitrogen oxides（NO_x）and carbon monoxide（CO）in Jiangmen were significantly higher than those in surrounding cities. VOCs source apportionment revealed that mobile sources（29.91% to 31.25%）and liquefied petroleum gas（LPG）usage（28.8% to 30.73%）were the major contributors. O₃ sensitivity analysis demonstrated that O₃ formation in Jiangmen was predominantly NO_x-sensitive under heavy pollution conditions. A 20% reduction in NO_x could effectively prevent heavy pollution, while a further 60% reduction might keep O₃ concentrations within the mild pollution range. The relative incremental reactivity（RIR）of precursors also highlighted the importance of NO_x control during heavy pollution days, as NO_x exhibited the highest RIR values（0.95~0.99）. O₃ budget analysis revealed regional influences. Except at year-end, when stringent control measures effectively reduced regional impacts on heavy pollution days, heavy pollution episodes in other periods were largely influenced by upwind areas, particularly the central PRD region（e.g., Guangzhou-Foshan）. Moreover, the regional contribution generally increased significantly after 15:00 on heavy pollution days, exceeding 60%. To mitigate heavy O₃ pollution in Jiangmen, stricter control of NO_x and other precursor emissions should be enforced. Furthermore, coordinated regional prevention and control measures should be implemented in collaboration with upwind cities, such as Foshan, Zhongshan, and Guangzhou.

This paper studied the characteristics and formation mechanisms of local photochemical pollution in Beijing during summer. Firstly, based on the meteorological observations, we obtained four typical meteorological clusters（M1~M4）based on the meteorological observations by using the K-means clustering algorithm and found the significant O₃ pollution difference among M1~M4. Then, under 2021 emissions of this city, we further simulated the local photochemical evolution of Beijing urban plumes respectively for four meteorological clusters, via a 0-D box model with the MCM（v3.3.1）. The simulation results showed the daytime-averaged net O₃ production rate was 7.91×10^-9（M1）, 7.58×10^-9（M2）, 7.18×10^-9（M3）, 3.55×10^-9（M4）·h^-1, but O₃ formation & loss pathways were very similar. O₃ formation was in the VOCs-limited regime, but its sensitivity to VOCs apparently decreased from M1 to M4. However, the simulated HCHO and CH₃CHO had a little differences between various meteorological conditions, as well as their production rates and formation & loss pathways. The linear response of HCHO to VOCs indicated it could be as the good tracer for VOCs level. Finally, we calculated the O₃ increment reactivity（IR）of 65 VOCs species for each meteorological cluster, and found the differences in IR between low-reactivity and high-reactivity VOCs became significantly smaller under the M1 compared to M4, implying the importance of strengthening the control of low-reactivity components VOCs in on O₃ pollution days.

We chose a petrochemical park in Beijing-Tianjin-Hebei as the research target, and five representative sites were selected for sampling and analysis. 85 volatile organic compounds（VOCs）were detected and their impacts on the environment and health were evaluated. The results showed that the concentration of total volatile organic compounds（TVOCs）were 546.0~4472.2µg/m³, in which alkanes and alkenes were the dominant group, followed by aromatics and halocarbons. Compared with the diurnal variation of VOCs components at each site, the time of peak and valley values appearing were different, and the typical species were different. Additionally, OFP in the synthetic rubber area was the richest（13239.8µg/m³）. The contribution of alkenes to OFP was the highest（62.8%~90.5%）, followed by alkanes（3.8%~34.8%）and aromatics（2.2%~22.1%）. Otherwise, only the synthetic rubber area was polluted by odor, 1,3-butadiene（0.68）and n-hexane（0.30）were the main VOCs species that produced odor. Moreover, the health risk associated with each site was assessed by the US EPA method, indicating that the non-cancer risk of synthetic rubber and cancer risk of oil refining were higher than those of other sites.

The adaptive resilience of microorganisms is crucial for maintaining the stable operation of Biotrickling filters under intermittent flow interruption. This process is intrinsically related to the ability of microorganism to store active substances as Extracellular Polymeric Substances（EPS）. To elucidate this mechanism, a comparative analysis was conducted on biofilm structural characteristics, EPS compositional variations, and functional group transformations during an operation cycle of Biotrickling filters. The correlation between EPS-mediated stress response mechanisms and microbial activity maintenance/recovery was investigated. The results revealed that the removal of COD and NH₄⁺-N reached（95.56±1.10）% and（87.06±2.08）% respectively in the biotrickling filter operated under intermittent flow. Under the regulation of EPS, the biofilm showed a loose and porous structure. During flow interruption phases, microorganisms activated starvation adaptation strategies by converting carbon sources adsorbed in SB-EPS and metabolizing polysaccharides stored in SB-EPS. The structure integrity of microorganisms was maintained via synergistic effects of hydrophobic functional groups within EPS and polymer bridging interactions. Accordingly, an EPS-mediated stress adaptation system responsive to starvation-recovery alternations was established, enabling sustainable operation of Biotrickling filters.

In this study, swine wastewater was treated using constructed wetland-microbial fuel cell（CW-MFC）technology. The pollutant removal efficiency, bioelectricity generation and microbial community structure were evaluated. The results showed that after treated the swine wastewater by the experimental system planted with umbrella grass（PCW-MFC）, the average removal efficiencies of NH₄⁺-N, TP and sulfadiazine（SDZ）were increased by approximately 5%, 10%, and 3% respectively, and the output voltage, coulombic efficiency, and maximum power density were recorded as 415.93mV, 49.10%, and 51.12mW/m³, respectively. The relative abundances of Proteobacteria, Bacteroidetes and Firmicutes were increased by umbrella grass, which played a key role in pollutant removal and bioelectricity generation.