Journal of Environmental Management最新文献

{"title":"Growth and resistance to mechanical stress in the young phase of black locust (Robinia pseudoacacia L.) trees based on geographical provenances","authors":"Adriana F. Sestras ,&nbsp;Tudor Sălăgean ,&nbsp;Andreea M. Roman ,&nbsp;Irina M. Morar ,&nbsp;Catalina Dan ,&nbsp;Alina M. Truta ,&nbsp;Radu E. Sestras ,&nbsp;Mircea Cristian Dudescu ,&nbsp;Velibor Spalevic ,&nbsp;Shuraik Kader ,&nbsp;Paul Sestras","doi":"10.1016/j.jenvman.2025.125465","DOIUrl":"10.1016/j.jenvman.2025.125465","url":null,"abstract":"<div><div>The black locust (<em>Robinia pseudoacacia</em> L.) is valued for its rapid growth, adaptability, and high-quality wood. This study analyzed seedlings from eight Romanian provenances to assess their growth potential, physiological traits, and mechanical resistance. Over the first six years, tree height and trunk diameter exhibited significant variations among provenances, with some genotypes demonstrating a higher capacity for biomass accumulation based on growth-related traits. Differences in leaf morphology, chlorophyll content, and wood strength indicate that genetic variation, environmental adaptation, and genotype-by-environment interactions shape these traits. Ecological factors at seed sources, such as temperature and precipitation, further influenced the trees’ resilience to local stressors. Multivariate analysis identified strong correlations among vegetative growth traits and between foliage characteristics and provenance-specific climatic conditions, suggesting inherited clinal trends shaped by environmental stressors. Broad-sense heritability estimates (0.318–0.794) highlight the potential for genetic improvement through selective breeding. At least three genotypes exhibited favorable traits, including enhanced wood resistance to compression and bending stress, making them suitable for afforestation, ornamental landscaping, and ecological rehabilitation of degraded lands. The selection of resilient genotypes could improve the sustainable use of land vulnerable to abiotic stressors and extreme climatic events. Future research should investigate the long-term stability of early growth patterns, explore genotype-environment interactions, and assess hybrid breeding strategies to enhance tree growth and resilience in diverse ecological conditions.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"384 ","pages":"Article 125465"},"PeriodicalIF":8.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-Fenton Cu-Mn catalysts for efficient ciprofloxacin removal: in-situ H2O2 generation and activation","authors":"Yifang Wu,&nbsp;Jianwang Wu,&nbsp;Mei Lin,&nbsp;Zuliang Chen","doi":"10.1016/j.jenvman.2025.125569","DOIUrl":"10.1016/j.jenvman.2025.125569","url":null,"abstract":"<div><div>The Fenton oxidation system is a widely employed advanced oxidation processes (AOPs) in wastewater treatment. However, the traditional Fenton oxidation system suffers from low oxidant utilization efficiency, leading to significant resource wastage. This study presents a novel self-Fenton Cu-Mn bimetallic catalyst (with a Cu:Mn ratio of 10:1), which is capable of simultaneously activating O₂ to generate H₂O₂ in situ and further catalyzing the decomposition of H₂O₂ to produce reactive oxygen species (ROS). Notably, this self-Fenton system demonstrate high removal efficiency for ciprofloxacin (CIP) across a broad pH range (2−9), achieving up to 92.55 % removal in water. Quenching experiments, electron paramagnetic resonance (EPR) analysis, steady-state concentration measurements, and Galvanic oxidation reactor (GOR) experiments collectively confirmed the generation of multiple ROS species (·OH, ·O₂⁻, and ¹O₂) and indicated that electron transfer plays a significant role in pollutant degradation. X-ray photoelectron spectroscopy (XPS) analysis revealed that Cu⁰ exhibited high catalytic activity, enabling simultaneous generation and activation of H₂O₂. Liquid chromatography-mass spectrometry (LC-MS) and toxicity assessments demonstrated a significant reduction in the toxicity of CIP degradation products. This work elucidates a novel Cu-Mn synergistic mechanism wherein Mn facilitates the generation of H₂O₂, while Cu effectively activates it into ROS. This synergism effect enables the removal of pollutants through both radical and non-radical pathways, thereby offering an innovative strategy for environmental remediation and AOPs.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"384 ","pages":"Article 125569"},"PeriodicalIF":8.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chemical fixation of CO2 conducted by Mg-based materials catalysts to produce cyclic carbonates: A comprehensive review","authors":"Tahereh Nasiriani ,&nbsp;Payam Veisi ,&nbsp;Burak Dikici ,&nbsp;Arash Fattah-alhosseini","doi":"10.1016/j.jenvman.2025.125495","DOIUrl":"10.1016/j.jenvman.2025.125495","url":null,"abstract":"<div><div>We are witnessing a surge in CO₂ emissions into the atmosphere, leading to serious environmental issues for our planet. If we do not take action, it will harm humanity and the biosphere. Increased levels of CO₂ in the atmosphere contribute to global warming, which results in climate upheavals that disrupt ecosystems, alter plant reproduction conditions, and cause numerous related problems. Consequently, the current CO₂ levels in the atmosphere must be significantly lowered as soon as possible. CO₂ is a plentiful C1 feedstock, and its chemical utilization has inspired chemists in recent years. The reaction of CO₂ with epoxide to produce cyclic carbonate (CCs) is highly significant and actively pursued in laboratories worldwide. So, by chemically fixing CO₂ into valuable cyclic carbonates, we can achieve two goals at once: reducing atmospheric CO₂ and producing essential chemicals. However, CO₂'s low reactivity and high stability make fixation challenging, leading to the development of innovative heterogeneous catalytic systems to address this. Magnesium-based materials (Mg-based materials) have become an attractive choice for chemical catalysis of CO₂ fixation reactions owing to their unique properties enabled by the polar structure of Mg(II) leads to their high CO₂ affinity. This research deals with the introduction of Mg-based materials, synthesis methods, and their effect on the performance of the catalytic process in CO₂ fixation reactions. Thus, this review can provide researchers with light horizons in utilizing the high potential of Mg-based materials in synthesizing efficient catalysts to achieve excellent yield, conversion, and selectivity in the cycloaddition of CO₂ to epoxides into CCs.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"384 ","pages":"Article 125495"},"PeriodicalIF":8.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of auxiliary conditioning on humification of high-solids anaerobic digestion residues in aerobic composting processes","authors":"Lei Guo ,&nbsp;Wenxuan Guo ,&nbsp;Chunli Luan ,&nbsp;Xinyu Luo ,&nbsp;Rongrong Yin ,&nbsp;Jie Chen ,&nbsp;Guoxue Li ,&nbsp;Wenhai Luo ,&nbsp;Chuanren Qi","doi":"10.1016/j.jenvman.2025.125566","DOIUrl":"10.1016/j.jenvman.2025.125566","url":null,"abstract":"<div><div>This study investigated the impact of cornstalk, bagasse, and spent mushroom substrate (SMS) as auxiliary materials on the nitrogen cycling and humification during the aerobic composting of high-solids anaerobically digested residues using high-throughput 16S rRNA sequencing and PICRUSt2 functional prediction. Results showed that cornstalk and SMS accelerated compost warming and upregulated the expression of nitrogen-cycling-related genes (e.g. <em>ureC</em>, <em>narH</em>, and <em>narG</em>), thereby significantly reducing (<em>P</em> &lt; 0.05) N₂O and NH₃ emissions and increasing the NO₃⁻-N content in the compost. Furthermore, cornstalk enriched the microbial diversity and abundance of key bacteria involved in degradation and humification (e.g. <em>Sphingobacterium</em> and <em>Moheibacter</em>), which increased the humic acid content (HA) (78.4 g/kg DM). Although bagasse promoted aerobic conditions, it had less effect on nitrogen cycling and humification. The study highlights the intricate relationship between nitrogen metabolism and humification, demonstrating how selection of auxiliary materials can optimize composting for environmental sustainability.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"384 ","pages":"Article 125566"},"PeriodicalIF":8.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Local politics and land take: Using remote sensing data to analyse land-use changes in Sweden","authors":"Emanuel Wittberg ,&nbsp;António Fernando Tavares ,&nbsp;Katarzyna Szmigiel-Rawska","doi":"10.1016/j.jenvman.2025.125387","DOIUrl":"10.1016/j.jenvman.2025.125387","url":null,"abstract":"","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"384 ","pages":"Article 125387"},"PeriodicalIF":8.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved surface NO2 Retrieval: Double-layer machine learning model construction and spatio-temporal characterization analysis in China (2018–2023)","authors":"Wei Wang,&nbsp;Bingqian Li,&nbsp;Biyan Chen","doi":"10.1016/j.jenvman.2025.125439","DOIUrl":"10.1016/j.jenvman.2025.125439","url":null,"abstract":"<div><div>As an important atmospheric pollutant causing serious harm to human health and the natural environment, monitoring of surface NO₂ (SNO₂) level is of critical importance. However, the current SNO₂ retrieval models neglect to consider the influence of NO₂ vertical hierarchical structure on the process of converting the tropospheric NO₂ columns (XNO₂) to the SNO₂ levels. Meanwhile, conventional machine learning models struggle to capture complex spatiotemporal relationships between SNO₂ and XNO₂, which lead to the large differences between the current model results and the site-based measurements. To enhance the accuracy of SNO₂ level inversion, this study incorporated the NO₂ vertical stratification characteristics and its spatial-temporal variation mechanisms over a long time series. By leveraging the advanced Light Gradient Boosting Machine (LGBM) and Extremely Randomized Forests (ERF) models, a Double-Layer Machine Learning (DLML) framework was developed to estimate SNO₂ levels across China from 2018 to 2023. Based on the results of this study, the temporal and spatial variation patterns of SNO₂ levels across China, including key regions, were comprehensively analyzed. The results showed that: (1) Compared with the traditional model, the DLML model proposed in this study showed better performance, in which the R² of spatio-temporal cross-validation reached 0.87. This represented an improvement of about 10 % over previous models. At the same time, MAE and RMSE were reduced to about 4.24 μg/m³ and 5.79 μg/m³ respectively. (2) The retrieved SNO₂ levels in China mainly showed a decreasing trend from the central and eastern coastal areas to the surrounding areas, and the annual average concentration had reached the level of the World Health Organization (WHO) air quality guidelines. In terms of time, the retrieved SNO₂ levels showed a U-shaped variation, with the highest in winter, followed by autumn, spring, and summer, reaching the peak in January and December, and then reaching the valley in June–August. (3) The two abnormal events occurred in winter, indicating that the meteorological conditions in winter were the main reason for the change of SNO₂ in the air. Among them, the factors that cause the peak values of Wuhan and Yangtze River Delta may also be due to the high level of economic development, dense population activities, and frequent industrial activities in the two regions, resulting in their own SNO₂ emissions.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"384 ","pages":"Article 125439"},"PeriodicalIF":8.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Refining the approach: A critical reflection on applying the community capitals framework for site remediation","authors":"Federica Panzarella ,&nbsp;Catrinel Turcanu ,&nbsp;Bieke Abelshausen ,&nbsp;Valérie Cappuyns","doi":"10.1016/j.jenvman.2025.125530","DOIUrl":"10.1016/j.jenvman.2025.125530","url":null,"abstract":"","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"384 ","pages":"Article 125530"},"PeriodicalIF":8.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do the relationships among policy stringency, corruption, and public size differ across country groups in the context of green transformation?","authors":"Volkan Kaymaz ,&nbsp;José Alberto Fuinhas ,&nbsp;Nuno Silva ,&nbsp;Hélde Domingos ,&nbsp;Matilde Betencourt","doi":"10.1016/j.jenvman.2025.125533","DOIUrl":"10.1016/j.jenvman.2025.125533","url":null,"abstract":"<div><div>This study utilizes fuzzy-set qualitative comparative analysis (fsQCA) to explore the effects of critical economic and environmental factors on carbon intensity in 19 European countries from 1999 to 2020. The findings demonstrate a strong link between high carbon intensity, weak corruption control, and low research and development (R&amp;D) expenditure, implying that corruption may intensify emissions by supporting carbon-heavy practices. Conversely, lower carbon intensity is associated with advanced financial development, suggesting a positive effect on reducing emissions, which contrasts with existing literature. Furthermore, effective corruption control and increased government revenue significantly mitigate carbon emissions by promoting investments in green initiatives. Other effective strategies identified include stringent environmental regulations, elevated environmental taxes, and enhanced R&amp;D investment, all of which facilitate the adoption of carbon-neutral technologies. The results indicate that these structural relationships are statistically significant and affirm the hypothesis that robust corruption control, financial development, and R&amp;D investment are vital for achieving reduced carbon intensity across Europe.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"384 ","pages":"Article 125533"},"PeriodicalIF":8.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Runoff evolution responses to climate change: A case study in the headwater area of Yellow River, China","authors":"Jun Mei ,&nbsp;Bin Yong ,&nbsp;Yi Lyu ,&nbsp;Weiqing Qi ,&nbsp;Yixin Wen ,&nbsp;Guoqing Wang ,&nbsp;Jianyun Zhang","doi":"10.1016/j.jenvman.2025.125512","DOIUrl":"10.1016/j.jenvman.2025.125512","url":null,"abstract":"<div><div>The headwater area of the Yellow River (HAYR) plays an important role in runoff generation for the entire Yellow River basin. However, the runoff patterns within this crucial source region have been experiencing significant changes over the past decades. These changes have made pronounced impacts on the inter-annual and even intra-annual distributions of runoff, especially for the unique double flood peaks (DFP; one peak appears in July and another in September). This study comprehensively demonstrated the runoff evolution in HAYR and its future projection under the background of climate change based on multi-source data analysis and hydrologic simulation. First, we used three mainstream precipitation datasets (i.e., CHM_PRE, CMFD, and TPHiPr) to drive the land surface hydrologic model (i.e., VIC) in the large-scale basin with sparse ground observation. Our simulation results show that the CHM_PRE-driven VIC exhibits the best performance in six experimental combinations. Thus, we adopted the simulation mode of CHM_PRE-driven VIC to quantify the impacts of climate change and human activities on runoff. It was found that climate change was the primary driver for the runoff reduction after the year of 1990 with a contribution of 81.14 %, while human activities only account for 18.86 %. But human activities likely have a larger impact on runoff during those dry periods. Notably, climate change has reduced the peak discharge and shifted the peak time in that, the main peak occurred earlier and the secondary peak appeared later. Subsequently, projections based on future scenarios of Global Climate Models (GCMs) suggest a declining trend in runoff, along with a noticeable periodicity, showing a cycle of approximately 40 years. Finally, the diagnosis of the significance level of flood peaks indicates that the increasing inter-annual variability and the more frequent intra-annual fluctuations will appear in the future runoff changes. This study is expected to enable basin managers to better optimize the water resource allocation and make well-informed practice decisions for the HAYR under global climate change.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"384 ","pages":"Article 125512"},"PeriodicalIF":8.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is green credit policy financially green for polluting firms’ investment efficiency?","authors":"Huaibing Yu","doi":"10.1016/j.jenvman.2025.125547","DOIUrl":"10.1016/j.jenvman.2025.125547","url":null,"abstract":"<div><div>The green credit policy was promulgated with the aim of curbing industrial pollution and promoting environmental protection. However, as a direct impact, the policy not only curtails polluting firms' investment scale, but more importantly lowers those firms' Q-sensitivity-based investment efficiency. The results hold firmly after performing a battery of follow-up tests, including pre-treatment trends analysis, placebo tests, matched sample tests, and tests for robustness and addressing endogeneity. Further analysis indicates that the negative impact is more pronounced among polluting firms that are more dependent on external finance, not owned by state, and financially constrained respectively. The decomposition of Tobin's Q provides additional insights, which suggest that the policy simultaneously hurts polluting firms' real growth and forces financial institutions to be more selective toward industry winners.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"384 ","pages":"Article 125547"},"PeriodicalIF":8.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}