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Towards Industry 5.0: An integrated readiness assessment of EU-27 Member States 迈向工业5.0:欧盟27个成员国的综合准备评估
IF 1 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-06 DOI: 10.1016/j.jclepro.2026.147486
Jarosław Brodny, Magdalena Tutak
The contemporary global economy, driven by technological progress, is entering a new stage of transformation referred to as the Industry 5.0. This concept, building on the foundations of Industry 4.0, emphasizes a more sustainable, inclusive and resilient model of economic development. However, despite numerous conceptual discussions in the literature, no integrated empirical assessment of countries' readiness for Industry 5.0 has been conducted to date. Moreover, no comprehensive study covering the scope presented in this work has previously been carried out. This study fills this gap by presenting the first data-driven assessment of the readiness of the EU-27 countries to implement the Industry 5.0 paradigm. Its foundation is a novel, two-stage research methodology combining multiple multi-criteria decision-making methods, three independent indicator weighting techniques and the Laplace criterion. This multidimensional approach significantly enhances the robustness of the results and reduces methodological bias. Based on 27 indicators representing four dimensions: digital transformation, human-centricity, sustainability and innovation and systemic resilience, the Industry 5.0 Readiness Index was constructed. This is an entirely new measurement tool with no equivalent in the existing literature. The results reveal substantial disparities in the readiness levels of the EU-27 countries to implement Industry 5.0. Sweden, the Netherlands, Denmark, Germany and Ireland demonstrate the highest readiness, while Poland, Greece, Bulgaria and Romania face significant structural barriers. These findings confirm that readiness for Industry 5.0 depends not only on technological progress but also on social and environmental factors. The proposed methodology provides a unique, flexible and adaptable tool that supports decision-making processes and the development of evidence-based policies within the European Union.
在技术进步的推动下,当代全球经济正在进入一个被称为工业5.0的转型新阶段。这一概念建立在工业4.0的基础上,强调更可持续、更包容、更有弹性的经济发展模式。然而,尽管文献中有许多概念性的讨论,但迄今为止还没有对各国为工业5.0做好准备的综合实证评估。此外,以前没有进行过涵盖本工作所提出的范围的全面研究。本研究通过对欧盟27国实施工业5.0范式的准备情况进行首次数据驱动评估,填补了这一空白。它的基础是一种新颖的两阶段研究方法,结合了多种多准则决策方法、三种独立指标加权技术和拉普拉斯准则。这种多维方法显著提高了结果的稳健性,减少了方法偏差。基于数字化转型、以人为本、可持续性和创新以及系统弹性四个维度的27个指标,构建了工业5.0就绪度指数。这是一种全新的测量工具,在现有文献中没有相应的测量工具。结果显示,欧盟27个国家在实施工业5.0的准备程度上存在巨大差异。瑞典、荷兰、丹麦、德国和爱尔兰的准备程度最高,而波兰、希腊、保加利亚和罗马尼亚则面临重大的结构性障碍。这些发现证实,工业5.0的准备程度不仅取决于技术进步,还取决于社会和环境因素。拟议的方法提供了一种独特、灵活和适应性强的工具,可支持欧洲联盟内部的决策过程和循证政策的制定。
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引用次数: 0
Machine learning-driven multi-objective optimization and dynamic performance prediction of geopolymer concrete 机器学习驱动的地聚合物混凝土多目标优化与动态性能预测
IF 1 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-06 DOI: 10.1016/j.jclepro.2026.147501
Feng Dai , Wenjie Gai , Shanghui Yang , Mingdong Wei , Yi Liu , Pan Zhou
Geopolymer concrete (GPC), known for its low carbon footprint and reduced resource consumption, has gained increasing attention as a sustainable alternative to conventional cement-based materials. However, its behavior under dynamic disturbances—such as seismic, impact, and blasting loads—remains insufficiently understood, mainly due to the cost and time requirements of conventional testing. This study develops an intelligent framework for predicting the dynamic compressive strength of GPC and optimizing its mix design using machine learning (ML) and multi-objective optimization. Four ML models—support vector regression (SVR), random forest (RF), gradient boosting (GB), and a stacking ensemble—were trained using raw material properties, mix proportions, curing conditions, and dynamic loading parameters as inputs. After hyperparameter tuning via random search and k-fold cross-validation, the stacking model achieved the best predictive performance with R2 = 0.9756, RMSE = 5.4235, MAE = 3.8412, and MAPE = 5.9237 on the test set, followed by RF (R2 = 0.9633), while GB exhibited slight overfitting and SVR showed lower accuracy. SHAP-based feature analysis identified loading rate and fly ash content as the most influential factors, with GGBFS and alkaline activators showing synergistic effects. The NSGA-II algorithm was then employed to optimize GPC mixtures by simultaneously maximizing compressive strength and minimizing cost and CO2 emissions. The resulting Pareto front demonstrated strong convergence and diversity (HV stabilized, GD and IGD decreasing trends), and all constraint violations were reduced to zero. Experimental verification of six optimized mixtures confirmed the model's predictive reliability and practical feasibility. This framework offers a robust and interpretable approach for sustainable GPC mix design and dynamic strength prediction, supporting its safe and efficient application in structural engineering.
地聚合物混凝土(GPC)以其低碳足迹和减少资源消耗而闻名,作为传统水泥基材料的可持续替代品而受到越来越多的关注。然而,由于常规测试的成本和时间要求,其在动态扰动(如地震、冲击和爆破载荷)下的行为仍未得到充分了解。本研究开发了一个智能框架,用于预测GPC的动态抗压强度,并使用机器学习(ML)和多目标优化来优化其混合设计。四个ML模型-支持向量回归(SVR),随机森林(RF),梯度增强(GB)和堆叠集成-使用原材料特性,混合比例,固化条件和动态加载参数作为输入进行训练。经过随机搜索和k-fold交叉验证的超参数调整后,堆叠模型在测试集上的预测效果最好,R2 = 0.9756, RMSE = 5.4235, MAE = 3.8412, MAPE = 5.9237,其次是RF (R2 = 0.9633),而GB表现出轻微的过拟合,SVR的准确率较低。基于shap的特征分析发现,加载速率和粉煤灰掺量是影响粉煤灰掺量最大的因素,GGBFS与碱性活化剂具有协同效应。然后采用NSGA-II算法优化GPC混合物,同时实现抗压强度最大化、成本和CO2排放最小化。结果表明,Pareto锋面具有较强的收敛性和多样性(HV趋于稳定,GD和IGD呈下降趋势),所有约束违规行为均降至零。对6种优化混合物进行了实验验证,验证了该模型的预测可靠性和实际可行性。该框架为可持续GPC混合料设计和动态强度预测提供了可靠的可解释方法,支持其在结构工程中的安全高效应用。
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引用次数: 0
Incorporating ecosystem quality and stability into protected area planning on the Qinghai–Tibet Plateau: Towards integrated conservation targets 将生态系统质量与稳定性纳入青藏高原保护区规划:迈向综合保护目标
IF 1 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-06 DOI: 10.1016/j.jclepro.2026.147496
Jitao Zhou , Chaowei Zhou , Ting Hua , Xiaoxue Wang , Xiaofeng Wang , Zechong Sun , Yue Zhang , Zhaoxia Ren
Protected areas (PAs) are widely regarded as an effective strategy for conserving biodiversity and natural ecosystems. As conservation objectives expand to include multiple ecosystem services, climate adaptation capacity, and landscape aesthetics, it is increasingly necessary to incorporate integrated ecological indicators—such as ecosystem quality (Qeco) and ecosystem stability (Seco)—into PAs planning, which not only provides a more comprehensive assessment of ecological status but also enhances the innovation and applicability of conservation prioritization. This study conducts a representativeness analysis of existing PAs on the Qinghai–Tibet Plateau (QTP) with respect to biodiversity (Bio) and climate refugia (CR), and advances conservation planning by incorporating two comprehensive indicators—Qeco and Seco. The results indicate: (1) Existing protected areas on the QTP show significant conservation gaps across the four major targets (Bio, CR, Qeco, and Seco) and their components, with complex interrelationships among these factors. (2) Optimized PAs identified through the inclusive conservation framework are mainly concentrated in the eastern and southern QTP, covering 27.81 % of the region and meeting at least three out of the four conservation targets. (3) Compared to current 33 % PA coverage, these optimized PAs improve conservation efficiency by more than 36.84 % for different conservation targets. The findings provide valuable insights for the optimization and efficiency enhancement of the PAs network, thereby contributing to the ecological security of the QTP. Moreover, this framework can be applied to other regions to support the implementation of the post-2030 Global Biodiversity Framework.
保护区被广泛认为是保护生物多样性和自然生态系统的有效策略。随着保护目标的扩展,包括多种生态系统服务、气候适应能力和景观美学,将生态系统质量(Qeco)和生态系统稳定性(Seco)等综合生态指标纳入保护区规划越来越有必要,这不仅可以提供更全面的生态状况评估,还可以增强保护优先级的创新性和适用性。本文从生物多样性(Bio)和气候避难(CR)两个方面对青藏高原现有保护区进行了代表性分析,并结合qeco和Seco两个综合指标,提出了保护规划。结果表明:(1)青藏高原现有保护区在生物、生态、生态和Seco 4个主要目标及其构成要素上存在显著的保护缺口,且各要素之间存在复杂的相互关系。(2)通过包容性保护框架确定的优化保护区主要集中在东部和南部,覆盖面积为27.81%,至少满足4个保护目标中的3个。(3)与现有保护区33%的覆盖率相比,优化后的保护区对不同保护目标的保护效率提高了36.84%以上。研究结果为青藏高原保护区网络的优化和效率提升提供了有价值的见解,从而有助于青藏高原保护区的生态安全。此外,该框架可应用于其他区域,以支持2030年后全球生物多样性框架的实施。
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引用次数: 0
Methane emissions from global shallow lakes: Patterns, key drivers, and mitigation strategies 全球浅湖甲烷排放:模式、主要驱动因素和减缓战略
IF 1 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-06 DOI: 10.1016/j.jclepro.2026.147483
Rongwei Xiong , Yong Li , Ming Chen , Jinquan Huang , Yan Xue
Shallow lakes are predominantly located in human activity hotspots and typically exhibit various nutrient pollution levels and climate sensitivity. These changing environmental conditions often drive complex and variable biogeochemical processes of methane (CH4) production and emission in lakes, leading to significant uncertainties in global estimation. This study systematically analyzed the CH4 emission patterns and driving factors from global shallow lakes (water depth ≤6 m) and quantified the mitigation potential achievable. Results demonstrated an average CH4 emission flux of 3.41 ± 2.08 mg m−2 h−1 from collected shallow lakes, with a global total emission estimated at 29.66 Tg yr−1. Of which, ebullition was identified as the predominant pathway (56 %) and exhibited a greater temperature dependence than diffusion. In comparison, smaller (<1 km2), shallower (<2 m), low-latitude (<30°), and higher eutrophic status (eutrophication index >61.29) lakes exhibited significantly higher CH4 fluxes (p < 0.01). Concentrations of total nitrogen (TN) and total phosphorus (TP) in lakes and local air temperature were the key factors governing CH4 fluxes. A global 10 %–50 % synergetic reduction in TN and TP is projected to reduce CH4 fluxes and emissions by 11 %–38 % and 12 %–44 %, respectively. Controlling TN is more effective than TP at reducing CH4 flux, particularly in low-latitude, smaller, shallower hypereutrophic and eutrophic lakes. This research further advances understanding of the CH4 emission patterns in global shallow lakes and provides potential sustainable management strategies within the context of accelerating environmental change.
浅湖主要位于人类活动热点地区,通常表现出不同的营养物污染水平和气候敏感性。这些变化的环境条件往往驱动湖泊中甲烷(CH4)产生和排放的复杂和可变的生物地球化学过程,导致全球估算存在很大的不确定性。本研究系统分析了全球浅层湖泊(水深≤6 m) CH4排放格局及驱动因子,量化了可实现的减缓潜力。结果表明,收集到的浅水湖泊CH4平均排放通量为3.41±2.08 mg m−2 h−1,全球总排放量估计为29.66 Tg yr−1。其中,沸腾被确定为主要途径(56%),并表现出比扩散更大的温度依赖性。相比之下,较小(1 km2)、较浅(2 m)、低纬度(30°)和较高富营养化状态(富营养化指数>;61.29)的湖泊CH4通量显著较高(p < 0.01)。湖泊中总氮(TN)和总磷(TP)浓度和当地气温是控制CH4通量的关键因素。预计全球总氮和总磷协同减少10% - 50%将使CH4通量和排放量分别减少11% - 38%和12% - 44%。在降低CH4通量方面,控制TN比TP更有效,特别是在低纬度、较小、较浅的富营养化和富营养化湖泊。本研究进一步促进了对全球浅湖CH4排放模式的认识,并在环境加速变化的背景下提供了潜在的可持续管理策略。
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引用次数: 0
Coordinating sulfamethoxazole removal and fouling control through species–ratio configurations in membrane microalgal–bacterial coupling systems 通过膜微藻-细菌耦合系统的物种比配置协调磺胺甲恶唑的去除和污染控制
IF 1 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-06 DOI: 10.1016/j.jclepro.2026.147479
Jiaxuan Chen , Hao Liu , Ruixin Han , Wenchao Ni , Qian Ping , Huixia Lan , Qiaochu Liang , Weiwei Lu , Yang Zhang
Microalgal–sludge interactions strongly influence both contaminant removal and membrane fouling in membrane microalgal–bacterial coupling (MMBC) systems, yet prior work has typically varied species or biomass ratio in isolation. Here, we systematically evaluated two microalgae-to-sludge (A/S) configurations (1:5, 2:1) using Chlorella sp. and Spirulina maxima under sulfamethoxazole (SMX) stress to disentangle combined species–ratio effects. A sludge-dominant configuration (1:5) consistently improved SMX attenuation at high load (10 mg/L), with Spirulina maxima-1:5 achieving 35.41 % removal versus 21.19 % for 2:1 (p < 0.05). Metagenomic profiling revealed that sludge dominance selectively enriched known degraders (Azospirillum in Chlorella sp., 25.6 % vs. 0.1 %; Rhodanobacter in Spirulina maxima, 10.6 % vs. 0.1 %), concurrent with shifts in functional gene abundance. Fouling outcomes diverged by species: Chlorella sp.–2:1 produced protein-rich extracellular polymeric substances (EPS)/soluble microbial products (SMP) signatures and pronounced transmembrane pressure (TMP) rise, whereas Spirulina maxima–2:1 showed reduced filamentous growth and lower SMP accumulation. UPLC-QTOF/MS and QSAR-based assessments indicated MMBC-specific SMX transformation pathways (S–N/C–N cleavage; oxazole modifications) that yielded intermediates with lower predicted toxicity than those from conventional sludge reactors. Collectively, species–ratio configurations coordinate pollutant degradation, toxicity attenuation and fouling behavior; tailoring A/S ratios to influent characteristics thus offers a practical route for sustainable treatment of antibiotic-laden wastewaters.
在膜微藻-细菌耦合(MMBC)系统中,微藻-污泥相互作用强烈影响污染物去除和膜污染,但之前的工作通常是在分离中改变物种或生物量比例。在此,我们系统地评估了在磺胺甲恶唑(SMX)胁迫下小球藻和最大螺旋藻的两种微藻/污泥(A/S)配置(1:5和2:1),以解决组合物种比效应。在高负荷(10 mg/L)下,以污泥为主的配置(1:5)持续改善SMX的衰减,螺旋藻最大比例为1:5的去除率为35.41%,而2:1的去除率为21.19% (p < 0.05)。宏基因组分析显示,污泥优势选择性地富集了已知的降解菌(小球藻中的偶氮螺旋藻,25.6%对0.1%;最大螺旋藻中的罗丹诺杆菌,10.6%对0.1%),同时功能基因丰度也发生了变化。不同物种的污染结果存在差异:小球藻- 2:1产生富含蛋白质的胞外聚合物(EPS)/可溶性微生物产物(SMP)特征,跨膜压力(TMP)显著升高,而螺旋藻- 2:1则显示丝状生长减少,SMP积累减少。UPLC-QTOF/MS和基于qsar的评估表明,与传统污泥反应器相比,mmbc特异性SMX转化途径(S-N / C-N裂解;恶唑修饰)产生的中间产物的预测毒性更低。总的来说,物种比配置协调污染物降解、毒性衰减和污染行为;因此,根据进水特性调整A/S比率为可持续处理含抗生素废水提供了切实可行的途径。
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引用次数: 0
Explaining policy implementation gap by policy network analysis: Evidence from China's energy renovation project quality failures 用政策网络分析解释政策执行差距:来自中国能源改造项目质量失效的证据
IF 1 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-06 DOI: 10.1016/j.jclepro.2025.147399
Yuting Qi , Queena K. Qian , Frits M. Meijer , Henk J. Visscher , Haiyan Lu
As climate change becomes a global concern, policymakers and practitioners are paying increasing attention to low carbon development in urban building zones. Among various measures, energy-saving renovations of existing residential buildings have become among the most vital developments for reducing carbon emissions in China. However, Quality failures—such as improper installation of steel nails or missing rivetsdefined as completed work that does not comply with prescribed technical standards—occur frequently during construction processes. These quality failures, representing a gap in policy implementation for residential building energy renovations, have received relatively little academic attention. This research seeks to address this gap by applying policy-network analysis to two case studies of renovation projects in Inner Mongolia in China, examining how actor interdependencies and adoption of policy instruments contribute to quality failures. The findings indicate that market-based policy instruments incur significant administrative costs, thereby impeding the maintenance of project quality. Additionally, mandatory policy instruments frequently lead to goal displacement at various governmental levels, further compromising the quality of energy renovation projects. Conversely, involving residents as a voluntary policy instrument can alleviate financial pressures on local governments while enhancing oversight of renovation quality. Nonetheless, this approach may impose financial burdens on economically disadvantaged groups. Based on these results, it is recommended that the government adopt a nuanced combination of policy instruments to minimize quality failures and realise the energy-efficiency potential of residential renovation initiatives.
随着气候变化成为全球关注的焦点,决策者和实践者越来越关注城市建筑区的低碳发展。在各种措施中,现有住宅建筑的节能改造已经成为中国减少碳排放的最重要的发展之一。然而,在施工过程中经常发生质量故障,例如钢钉安装不当或铆钉缺失(定义为已完成的工作不符合规定的技术标准)。这些质量问题,代表了住宅建筑能源改造政策执行的差距,得到了相对较少的学术关注。本研究试图通过对中国内蒙古改造项目的两个案例进行政策网络分析来解决这一差距,研究参与者的相互依赖和政策工具的采用如何导致质量失败。研究结果表明,以市场为基础的政策工具产生了巨大的行政成本,从而阻碍了项目质量的维持。此外,强制性政策手段经常导致各级政府的目标偏离,进一步损害能源改造项目的质量。相反,将居民作为一种自愿的政策工具,可以减轻地方政府的财政压力,同时加强对改造质量的监督。然而,这种做法可能会给经济上处于不利地位的群体带来财政负担。基于这些结果,建议政府采取细致入微的政策工具组合,以最大限度地减少质量失败,并实现住宅改造计划的节能潜力。
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引用次数: 0
Catalytic hydrothermal liquefaction of Enteromorpha prolifera for bio-oil upgrading through in-situ hydrogenation 浒苔原位加氢生物油催化水热液化研究
IF 1 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-06 DOI: 10.1016/j.jclepro.2026.147482
Xincen Wang , Wenjia Tan , Wenwen Li , Xiujun Zheng , Wanlong Zhao , Zhaoying Li , Yan He
Biomass energy is increasingly recognized as a promising substitute. Algae can be transformed into high-quality biofuels (rich in 5-methylfurfural) through the process of hydrothermal liquefaction. In this study, the lumped reaction kinetics approach is employed to investigate the reaction mechanism of hydrothermal liquefaction. The results indicate that during the initial stage of HTL, Enteromorpha prolifera (EP) is predominantly converted into water phase substances with activation energy value (E) of 15.0 kJ/mol which subsequently undergo further transformation into bio-oil (E = 87.2 kJ/mol). To further enhance the quality of bio-oil, two distinct approaches are applied for in-situ hydrogenation: (1) employing various types and volume fractions of alcohol-water solutions (methanol or ethanol) as hydrogen donors, and (2) utilizing polypropylene (PP, medical plastic waste mainly consists of substances) as a hydrogen source for in-situ hydrogenation. The effects of different mass ratios (1:3, 1:2, 1:1, 2:1 and 3:1) of EP and PP on in-situ hydrogenation performance are revealed. When an alcohol-water solution is used for in-situ hydrogenation, the maximum 5-methylfurfural content reaches 50.2 % using a 40 % ethanol-water solution higher than that with 40 % methanol (46.4 %). Besides, the 5-methylfurfural content is 48.1 % at a mass ratio of 1:1 between PP and EP, in which PP is employed as the hydrogen source. The highest content of 5-methylfurfural reaches 52.5 % used 5 wt% Ni/HT-1.0. The response surface analysis results indicate that the loading amount of Ni has the greatest impact on the content of 5-methylfurfural. The research of this study can provide solutions to the increasingly severe energy problems and environmental issues caused by medical plastic waste and EP, thereby providing a scientific basis for its energy utilization.
生物质能越来越被认为是一种有前途的替代品。藻类可以通过水热液化过程转化为高质量的生物燃料(富含5-甲基糠醛)。本文采用集总反应动力学方法研究了水热液化的反应机理。结果表明,在HTL初始阶段,浒苔(EP)主要转化为水相物质,活化能E为15.0 kJ/mol,然后进一步转化为生物油(E = 87.2 kJ/mol)。为了进一步提高生物油的质量,采用两种不同的方法进行原位加氢:(1)采用不同类型和体积分数的醇水溶液(甲醇或乙醇)作为氢供体,(2)利用聚丙烯(PP,医疗塑料废物主要由物质组成)作为氢源进行原位加氢。揭示了EP和PP的不同质量比(1:3、1:2、1:1、2:1和3:1)对原位加氢性能的影响。用乙醇水溶液原位加氢时,40%乙醇水溶液的5-甲基糠醛含量最高可达50.2%,高于40%甲醇水溶液(46.4%)。以PP为氢源,PP与EP质量比为1:1时,5-甲基糠醛含量为48.1%。使用5 wt% Ni/HT-1.0时,5-甲基糠醛含量最高达52.5%。响应面分析结果表明,Ni的负载量对5-甲基糠醛含量的影响最大。本研究的研究可以为医疗塑料废弃物和EP带来的日益严峻的能源问题和环境问题提供解决方案,为其能源利用提供科学依据。
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引用次数: 0
Envisioning eco-friendly futures: investigating the psychological determinants of biodiversity conservation behaviours in French urban and peri-urban areas 展望生态友好的未来:调查法国城市和城郊地区生物多样性保护行为的心理决定因素
IF 1 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-06 DOI: 10.1016/j.jclepro.2026.147474
Lucia Bosone , Aurore Grandin
As urbanisation continues to expand globally, having negative impacts on ecosystems, the significance of urban green spaces (private gardens, balconies and terraces, and in general green spaces in cities) increases as they are integral components of urban ecosystems, contributing to biodiversity conservation. It is thus important that citizens integrate wildlife gardening practices in their gardens or balconies. To achieve this, it is fundamental to understand the psychological correlates of wildlife gardening, pro-biodiversity behaviours and more generally biodiversity conservation policy support.
In a vast field of research analysing how perceived risk is the main motivator for general pro-environmental behaviours, we argue that a fundamental determinant of specific biodiversity conservation behaviours (such as wildlife gardening) is individuals' ability to imagine positive eco-friendly future societies, and their beliefs about the solutions to achieve it successfully. This is the first research investigating how this is linked to biodiversity conservation behaviours. A correlational study with French participants (N = 266) thus analysed how this is associated to self-declared (a) wildlife gardening practices, (b) gardens’ feature richness, (c) general behaviours in favour of urban biodiversity conservation, (d) support for public policies targeting biodiversity conservation. Hierarchical regression analyses demonstrated that envisioning the future - together with nature connectedness - is indeed a fundamental correlate of biodiversity conservation behaviours in general, and wildlife gardening more specifically. In fact, it is a stronger correlate than the perceived psychological distance of biodiversity loss (as a measure of perceived risk, which is instead fundamental for policy support). Although these findings can only be considered as preliminary (considering methodological limitations), this study is the first one to investigate how the fact that individuals can imagine a positive future when humans live in harmony with nature is a factor motivating them to act in favour of nature. This work paves the way to further studies on the effectiveness of presenting, in communication and education campaigns, a positive vision of the future, rather than focusing solely on the risks and negative consequences of actual behaviours.
随着城市化在全球范围内的持续扩大,对生态系统产生了负面影响,城市绿地(私人花园、阳台和露台,以及城市中的一般绿地)的重要性日益增加,因为它们是城市生态系统的组成部分,有助于保护生物多样性。因此,市民将野生动物园艺实践融入花园或阳台是很重要的。为了实现这一目标,了解野生动物园艺、支持生物多样性行为和更广泛的生物多样性保护政策支持的心理相关性是至关重要的。在分析感知风险如何成为一般亲环境行为的主要动机的广泛研究领域中,我们认为特定生物多样性保护行为(如野生动物园艺)的一个基本决定因素是个人想象积极的生态友好的未来社会的能力,以及他们对成功实现这一目标的解决方案的信念。这是第一个调查这与生物多样性保护行为之间关系的研究。一项针对法国参与者(N = 266)的相关性研究因此分析了这与自我宣称的(A)野生动物园艺实践,(b)花园的特征丰富度,(c)有利于城市生物多样性保护的一般行为,(d)对以生物多样性保护为目标的公共政策的支持之间的关系。层次回归分析表明,对未来的设想——连同与自然的联系——确实是生物多样性保护行为的基本关联,尤其是野生动物园艺。事实上,它比生物多样性丧失的感知心理距离(作为感知风险的一种度量,而感知风险是政策支持的基础)的相关性更强。虽然这些发现只能被认为是初步的(考虑到方法的局限性),但这项研究是第一个调查个人想象人类与自然和谐相处时的积极未来是如何激励他们采取有利于自然的行动的因素的研究。这项工作为进一步研究在宣传和教育运动中提出对未来的积极展望的有效性铺平了道路,而不是仅仅关注实际行为的风险和消极后果。
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引用次数: 0
Water-energy-food-ecology cooperation efficiency measurement and driving factor analysis: A cooperative game perspective 水-能-食-生态合作效率测度及驱动因素分析:合作博弈视角
IF 1 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-06 DOI: 10.1016/j.jclepro.2026.147466
Minhua Ling , Chun Gan , Wei Li , Yunling Li , Yuanyuan Li , Xigang Xing , Xuning Guo , Guangxuan Li , Suyan Sun , Tong Kou
As our understanding of the interdependence within the water–energy–food–ecology (WEFE) nexus improves, independent assessments no longer adequately capture subsystem synergies. New methods are needed to assess WEFE nexus comprehensively. Cooperative game theory emphasizes collaboration, which aligns with the characteristics of resource flows in WEFE nexus. Assessing WEFE cooperative efficiency and identifying key drivers is crucial for optimizing resource allocation and improving efficiency. This study employs a cooperative game-based SBM model (CG-SBM model) grounded in game theory to assess both original and cooperative efficiency within China's WEFE nexus and applies the Tobit model to analyze efficiency drivers. Results reveal that: (i) from 2005 to 2023, WEFE nexus efficiencies in China increased, with ecosystem efficiency growing fastest at 23 % annually. Efficiency varies spatially, with higher levels in the southern regions and lower levels in northern regions; (ii) ecological efficiency was the primary driver of WEFE nexus improvements, with the potential for improvement ranking highest in ecological systems, followed by energy, food, and water systems; (iii) driving factors vary by system and region and differ before and after cooperation. Regionally, both internal and external factors significantly influence efficiency. However, at the system level, efficiency is more strongly influenced by internal factors. Therefore, focusing on internal factors, particularly water utilization structure and industrial structure optimization, is essential for improving both system and regional efficiency.
随着我们对水-能源-食物-生态(WEFE)关系中相互依存关系的理解的提高,独立评估不再充分捕捉子系统的协同作用。需要新的方法来综合评价WEFE联系。合作博弈论强调协作,这与WEFE关系中资源流动的特点相一致。评估WEFE合作效率并确定关键驱动因素对于优化资源配置和提高效率至关重要。本研究采用基于博弈论的基于合作博弈的SBM模型(CG-SBM模型)来评估中国WEFE关系中的原始效率和合作效率,并应用Tobit模型来分析效率驱动因素。结果表明:(1)2005 - 2023年,中国WEFE连接效率呈上升趋势,其中生态系统效率以年均23%的速度增长最快;效率存在空间差异,南部地区效率较高,北部地区效率较低;(ii)生态效率是WEFE联系改善的主要驱动力,生态系统的改善潜力最高,其次是能源、粮食和水系统;(三)驱动因素因制度和地区而异,合作前后也有差异。从区域上看,内外因素对效率均有显著影响。而在制度层面,效率受内部因素的影响更大。因此,关注内部因素,特别是水资源利用结构和产业结构优化,是提高系统和区域效率的必要条件。
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引用次数: 0
Process development and multi-criteria optimization of industrial large-scale integrated carbon capture and sulphur recovery process: A step towards cleaner energy and waste valorization 工业大规模集成碳捕获和硫回收工艺的工艺开发和多标准优化:迈向清洁能源和废物增值的一步
IF 1 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-06 DOI: 10.1016/j.jclepro.2025.147449
Swaprabha P. Patel , Ashish M. Gujarathi , Piyush B. Vanzara
Computational advancements and the usage of emerging evolutionary algorithms have seen an increased engagement in engineering and its domains. This study uses the NSGA-II algorithm to optimize a large-scale integrated carbon capture (CC) and sulphur recovery unit (SRU) for an industrial plant, using real-world gas sweetening plant data. Five objective functions, eleven decision variables, along with imposed constraints, are used to perform bi-, tri-, and four-objective optimization. In case 1 (maximization of sulphur mass flow and minimization of acidification potential (AP)), regenerator feed pressure converges to the upper limit of 280 kPa. The sulphur mass flow values start increasing from 267.89 kg/h to 452.1 kg/h, and acidification potential values increase from 20.94 mPETEU2004 to 434.85 mPETEU2004. For case 2 (minimization of AP and global warming potential (GWP)), the AP values increase from 21.93 mPETEU2004 to 63.26 mPETEU2004, and GWP values decrease from 168715.2 mPETW2004 to 168178.7 mPETW2004. For case 3 (maximization of sulphur mass flow, minimization of AP and net energy consumption), at a steady feed molar flow rate of 350 kgmole/h the sulphur mass flow increases from 142 to 250 kg/h. TOPSIS, NFM, and MOORA methods of Pareto ranking are used to determine the best and worst optimal solutions. The economic specific study is reported for the best and worst optimal solutions, including total capital cost, total operating cost, and utility cost. This study sheds light on achieving a cleaner energy approach for the industrial decarbonization sector. Sustainable sulphur recovery is integrated with a decarbonization process to achieve waste valorization.
计算的进步和新兴进化算法的使用已经看到了工程及其领域的参与增加。本研究使用NSGA-II算法,利用真实气体脱硫厂的数据,对工业装置的大规模集成碳捕集(CC)和硫回收装置(SRU)进行优化。五个目标函数,十一个决策变量,以及强加的约束,用于执行双目标,三目标和四目标优化。在情况1(硫质量流量最大化和酸化势(AP)最小化)下,蓄热器进料压力收敛到280 kPa的上限。硫质量流量由267.89 kg/h增加到452.1 kg/h,酸化电位由20.94 mPETEU2004增加到434.85 mPETEU2004。在情形2 (AP和全球变暖潜势最小化)中,AP值从21.93 mPETEU2004增加到63.26 mPETEU2004,而GWP值从168715.2 mPETW2004减少到168178.7 mPETW2004。对于情况3(硫质量流量最大化,AP和净能耗最小化),在稳定进料摩尔流量为350 kgmole/h时,硫质量流量从142 kg/h增加到250 kg/h。利用Pareto排序的TOPSIS、NFM和MOORA方法确定最佳和最差最优解。经济具体研究报告了最佳和最差的最优解决方案,包括总资本成本、总运营成本和公用事业成本。这项研究为工业脱碳部门实现更清洁的能源方法提供了启示。可持续硫回收与脱碳过程相结合,以实现废物增值。
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引用次数: 0
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Journal of Cleaner Production
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