Journal of Cleaner Production最新文献_第2页

From inhibition to enhancement: Time-staged complementary roles of sugarcane bagasse ash and red mud in sustainable cementitious composites 从抑制到增强：蔗渣灰和赤泥在可持续胶凝复合材料中的时间阶段互补作用

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-16 DOI: 10.1016/j.jclepro.2026.147532

Chaofan Yi , Xingguo Ma , Yuheng Li , Qi Cui , Zheng Chen , Jianhui Liu , Yichen Wang

Functionalizing industrial and agricultural wastes, such as sugarcane bagasse ash (SCBA) and red mud (RM), is imperative for developing sustainable cementitious materials. While binary OPC systems with high dosages of either this waste underperformed, due to the low reactivity of SCBA or the inhibitory effect of RM, ternary OPC-SCBA-RM blends demonstrated a promising synergistic enhancement. To offer optimization strategies and mechanistic insights, this study investigated ternary OPC-SCBA-RM systems using response surface methodology, isothermal calorimetry and multi-scale characterizations. The results indicate that SCBA and RM functioned via distinct yet complementary mechanisms. SCBA primarily reduced total porosity and elongated the silicate chain length in C-S-H gels. Differentially, RM preferentially refined harmful macropores and the polycondensation degree of reaction products, evidenced by the increased partial correlation coefficient, the presence of Al-coordinated Q²(2Al) and Q³(3Al) units alongside the significantly higher MCL value than plain mixture (7.52 vs. 4.54). The interactive synergy in ternary cement-based mixtures mitigated the RM-induced retardation upon phase boundary reaction and diffusion kinetics. This synergy represented not an additive but a competitive interaction, shifting the hydration pathway toward more favourable late-stage kinetics. A promising formulation for the ternary composite of 76.3 % OPC, 20.7 % RM, and 3 % SCBA was identified to exhibit equivalent mechanical performance to the pure OPC control. Moreover, a 28 % cement replacement can be achieved with ≤5 % strength loss. This meaningfully presents a viable route for high-volume waste utilization in low-carbon cementitious composites.

功能化工业和农业废弃物，如蔗渣灰（SCBA）和赤泥（RM），是开发可持续胶凝材料的必要条件。由于SCBA的低反应性或RM的抑制作用，高剂量的二元OPC体系表现不佳，而三元OPC-SCBA-RM混合物显示出有希望的协同增强。为了提供优化策略和机理见解，本研究利用响应面法、等温量热法和多尺度表征对三元OPC-SCBA-RM体系进行了研究。结果表明，SCBA和RM通过不同但互补的机制发挥作用。SCBA主要降低了C-S-H凝胶的总孔隙率并延长了硅酸盐链长度。不同的是，RM优先精炼有害大孔和反应产物的缩聚程度，证明了偏相关系数的增加，al配位的Q2（2Al）和Q3（3Al）单元的存在以及显著高于普通混合物的MCL值（7.52比4.54）。三元水泥基混合物中相互作用的协同作用减轻了相界反应和扩散动力学引起的rm延迟。这种协同作用不是一种添加剂，而是一种竞争性的相互作用，将水化途径转向更有利的后期动力学。确定了一种有前途的三元复合材料配方：76.3% OPC， 20.7% RM和3% SCBA，其力学性能与纯OPC对照相当。此外，在强度损失≤5%的情况下，可实现28%的水泥置换。这为低碳胶凝复合材料的大量废物利用提供了一条有意义的可行途径。

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引用次数: 0

Identification of carbon emission aggregation effects and transition patterns in Chinese provinces under the progressive emission reduction pathway 渐进式减排路径下中国各省碳排放聚集效应及转型模式识别

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-15 DOI: 10.1016/j.jclepro.2026.147568

Guangyao Wang , Kai Xu , Chenhao Zhang , Yilin Wang , Zhengguang Liu , Mingjiang Deng , Yubao Wang

Global warming caused by carbon emissions has become a critical concern for countries worldwide. Defining carbon emission transition patterns for Nationally Determined Contributions (NDCs) under the Paris Agreement is crucial for achieving carbon neutrality targets. As a key signatory, China's evolving emission reduction trends and transition patterns at the provincial level remain unclear, which complicates the development of policies that balance regional emissions with sustainable development. To address this issue, the study adopts the progressive emission reduction pathway and employs the Global Change Analysis Model (GCAM) to simulate and predict the spatiotemporal evolution of carbon emissions across 31 provinces in China from 2025 to 2060. This study quantifies the contribution rates of influencing factors to carbon emission across provinces by combining the Translog Production Function Model and Ridge Regression, subsequently categorizing the provincial carbon emission reduction patterns. The results indicate: (1) China's carbon emissions follow a phased pattern, initially increasing and then decreasing, with significant spatial aggregation. High carbon emissions are concentrated in eastern coastal regions, while low emissions are mainly found in the western inland regions. The significance of this pattern decreases over time. (2) The average contribution rates of power generation, energy structure, energy intensity, economic development, and technological progress to carbon emission reductions are 9.2 %, 8.4 %, 54.1 %, 4.2 %, and 24.0 %. Among these factors, energy intensity and technological progress are the primary factors of carbon emission reductions. (3) Provincial regions can be classified into four carbon emission transition patterns: “high contribution, high cleanliness,” “low contribution, high cleanliness,” “low contribution, low cleanliness,” and “high contribution, low cleanliness.” Similar transition patterns exhibit spatial clustering. Consequently, distinct regional emission reduction strategies should be developed based on the development patterns and variations in carbon emission transition patterns. The research provides valuable insights for decision-making in advancing the low-carbon transformation of China's energy system and offer guidance for other nations aiming to achieve carbon neutrality.

碳排放引起的全球变暖已成为世界各国关注的焦点。为《巴黎协定》下的国家自主贡献（NDCs）确定碳排放转型模式对于实现碳中和目标至关重要。作为主要签约国，中国在省级层面的减排趋势和转型模式尚不明朗，这使得制定平衡区域排放与可持续发展的政策变得更加复杂。为解决这一问题，本研究采用渐进式减排路径，利用全球变化分析模型（GCAM）对中国31个省份2025 - 2060年碳排放的时空演变进行了模拟和预测。本研究结合超对数生产函数模型和岭回归，量化各省影响因素对碳排放的贡献率，进而对各省碳减排模式进行分类。结果表明：①中国碳排放呈先增加后减少的阶段性格局，具有显著的空间集聚性；高碳排放集中在东部沿海地区，低碳排放主要集中在西部内陆地区。这种模式的重要性随着时间的推移而降低。(2)发电、能源结构、能源强度、经济发展和技术进步对碳减排的平均贡献率分别为9.2%、8.4%、54.1%、4.2%和24.0%。其中，能源强度和技术进步是影响碳减排的主要因素。③省区碳排放可划分为“高贡献、高清洁度”、“低贡献、高清洁度”、“低贡献、低清洁度”和“高贡献、低清洁度”4种碳排放过渡模式。相似的过渡模式表现为空间聚类。因此，应根据发展模式和碳排放转型模式的变化制定不同的区域减排战略。该研究为推动中国能源系统低碳转型的决策提供了有价值的见解，并为其他旨在实现碳中和的国家提供了指导。

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引用次数: 0

Privacy preserving reserved pricing & energy allocation mechanism for smartgrid peer-to-peer energy trading 智能电网点对点能源交易的隐私保护保留定价与能源分配机制

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-14 DOI: 10.1016/j.jclepro.2026.147545

Waqas Amin , Qi Huang , Jian Li , Abdullah Aman Khan , Umashankar Subramaniam

Determining a fair and secure energy trading price is an important concern in smart grid energy trading networks, where participants interact with each other and the grid using bi-directional communication links. Moreover, the information shared on these communication links is prone to possible vulnerabilities, such as man-in-the-middle attacks, where an intruder sniffs the information, alters it, and gains undue benefit by falsely reporting the participants’ data. To overcome this issue, the proposed model offers a promising approach to address these challenges by introducing a homomorphic encryption-based privacy-preserving model that ensures the privacy of the participants’ data. Furthermore, without exposing the financial conditions of the participants and by utilizing the concept of reserved pricing, a sequential quadratic optimization-based model is proposed to determine the final energy trading price. This is done in such a way that the final price always adheres to the participants’ reserved prices while keeping the real-time supply-to-demand ratio in account.

Moreover, the stochastic generation of renewable sources also poses challenges to ensuring fairness in the energy market, where several participants are treated as non-trader entities. For this purpose, the proposed model offers a Euclidean distance-based energy allocation policy to establish fairness in the energy allocation process.

The simulation results of the proposed model reveal that it can reduce the energy bills of buyers by 6.53% to 22.11% and boost the revenues of sellers by 6.23% to 32.80% compared to other state-of-the-art models.

在智能电网能源交易网络中，确定公平、安全的能源交易价格是一个重要问题，在智能电网中，参与者通过双向通信链路与彼此和电网进行交互。此外，在这些通信链接上共享的信息容易出现可能的漏洞，例如中间人攻击，在这种攻击中，入侵者嗅探信息，修改信息，并通过错误地报告参与者的数据而获得不应有的利益。为了克服这一问题，所提出的模型提供了一种有希望的方法来解决这些挑战，通过引入基于同态加密的隐私保护模型来确保参与者数据的隐私。此外，在不暴露参与者财务状况的情况下，利用保留定价的概念，提出了一个基于顺序二次优化的模型来确定最终的能源交易价格。这样做的方式是，最终价格总是遵循参与者的保留价格，同时保持实时供求比。此外，可再生能源的随机发电也对确保能源市场的公平构成挑战，在能源市场中，一些参与者被视为非贸易实体。为此，该模型提出了一种基于欧几里得距离的能源分配策略，以建立能源分配过程中的公平性。仿真结果表明，与其他最先进的模型相比，该模型可使买方的能源费用降低6.53% ~ 22.11%，使卖方的收入提高6.23% ~ 32.80%。

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引用次数: 0

Local volcanic pozzolans from the Canary Islands as low-carbon cement substitutes: Linking microstructure, performance and CO2 reduction 来自加那利群岛的当地火山火山灰作为低碳水泥替代品：连接微观结构，性能和二氧化碳减排

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-14 DOI: 10.1016/j.jclepro.2026.147531

Juan J. Santana , Luis E. Hernández-Gutiérrez , Ignacio Nuez , Jiri Libich , Ricardo A. Liria-Romero , Ricardo M. Souto

The cement industry contributes a significant share of global CO₂ emissions, positioning clinker substitution as a priority pathway for decarbonization. This study evaluates local volcanic pozzolans from the Canary Islands—both natural pyroclastic deposits and quarry residues—as supplementary cementitious materials. A comprehensive morphological and compositional characterization of the mortars was conducted using optical and scanning electron microscopies, energy-dispersive X-ray spectrometry, and X-ray diffraction and fluorescence analysis, as well as their mechanical testing. The pozzolans display trachytic–phonolitic–rhyolitic compositions with abundant zeolitic phases and amorphous content, meeting ASTM C618 Class N criteria. Mortars with up to 20 % cement replacement achieve compressive strengths above 25 MPa in line with UNE-EN 998-2, while flexural strength remains satisfactory. A cradle-to-gate assessment indicates that a 20 % clinker substitution can lower the Global Warming Potential by approximately 13.6 % per tonne of binder. The results demonstrate that valorizing local volcanic resources enables meaningful CO₂ reductions without compromising structural applicability, thus supporting cleaner production in island and volcanic contexts.

水泥行业贡献了全球二氧化碳排放的很大一部分，将熟料替代定位为脱碳的优先途径。本研究评估了来自加那利群岛的当地火山火山灰——包括天然火山碎屑沉积物和采石场残留物——作为补充胶结材料。利用光学和扫描电镜、能量色散x射线光谱、x射线衍射和荧光分析以及力学测试对砂浆进行了全面的形态和成分表征。火山灰具有丰富的沸石相和无定形含量，显示出粗质-声纹岩-流纹岩成分，符合ASTM C618 N级标准。水泥置换率高达20%的砂浆抗压强度达到25 MPa以上，符合UNE-EN 998-2标准，而抗折强度仍然令人满意。一项从摇篮到闸门的评估表明，每吨粘合剂替代20%的熟料可使全球变暖潜能值降低约13.6%。结果表明，在不影响结构适用性的情况下，对当地火山资源进行估值可以实现有意义的二氧化碳减排，从而支持岛屿和火山环境下的清洁生产。

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引用次数: 0

Pre-optimization-based deep reinforcement learning for autonomous economic and exergy management of stochastic H2/CO ratio syngas switching downstream processes 基于预优化的深度强化学习，用于H2/CO随机合成气切换下游过程的自主经济和火用管理

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-14 DOI: 10.1016/j.jclepro.2026.147560

Yang Sun , Zijian Liu , Zhe Cui , Wei Wang , Wende Tian

Driven by global warming and escalating energy demand, sustainable syngas production continues to advance as an essential cleaner energy carrier. The switching of the syngas H₂/CO ratio can supply tailored feedstock for synthesizing diverse downstream chemicals. However, unsteady state, stochastic behavior, and plant-model mismatch characteristics of the downstream process complicate existing control strategies and operational management. This study addresses the critical challenge of intelligent operational management in stochastic syngas switching downstream (SSSD) processes characterized by strong stochasticity and dynamic losses. To this end, a pre-optimization-based deep reinforcement learning (DRL) control framework is proposed for autonomous economic and exergy (2E) management of SSSD process. First, a high-fidelity dynamic model of SSSD process is developed to simulate the stochastic behavior and dynamic losses of the system. Then, the optimization constraint algorithm is innovatively embedded into the DRL framework to obtain an optimized initial set of actions for each random reset. Finally, the agent is trained to interact with the dynamic model in pursuit of efficient exploration and reward, which produces an optimal control strategy. The proposed method reduces exergy destruction by 3.8 % and 2.1 % compared to proportional-integral-derivative (PID) and conventional DRL frameworks, while obtaining the minimum operating cost of $8542 and the most stable product control. The well-trained agent is also able to self-adapt to process uncertainties with higher exploration efficiency and stability, achieving intelligent and sustainable production for complex and dynamic processes.

在全球变暖和能源需求不断增长的推动下，可持续合成气生产作为一种重要的清洁能源载体不断发展。合成气H2/CO比例的转换可以为合成多种下游化学品提供量身定制的原料。然而，下游过程的不稳定状态、随机行为和工厂模型不匹配特征使现有的控制策略和运营管理复杂化。本研究解决了在具有强随机性和动态损失的随机合成气下游切换（SSSD）过程中智能操作管理的关键挑战。为此，提出了一种基于预优化的深度强化学习（DRL）控制框架，用于SSSD过程的自主经济和能源（2E）管理。首先，建立了系统的高保真动态模型，模拟了系统的随机行为和动态损失。然后，创新地将优化约束算法嵌入到DRL框架中，为每次随机重置获得优化的初始动作集。最后，训练智能体与动态模型进行交互，以追求有效的探索和奖励，从而产生最优控制策略。与比例-积分-导数（PID）和传统的DRL框架相比，该方法减少了3.8%和2.1%的火用破坏，同时获得了最低的运行成本8542美元和最稳定的产品控制。训练有素的agent还能够自适应过程的不确定性，具有更高的勘探效率和稳定性，实现复杂动态过程的智能可持续生产。

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引用次数: 0

Novel mechanisms of cadmium detoxification mediated by selenium nanoparticles in selenium hyperaccumulator plants: Discovery of HSP90-1 as a pivotal potential regulatory hub 硒超富集植物中硒纳米颗粒介导镉解毒的新机制：HSP90-1作为关键潜在调控枢纽的发现

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-14 DOI: 10.1016/j.jclepro.2026.147547

Wei Yang , Shang Gao , Qiangwen Chen , Weiwei Zhang , Min Xie , Xin Cong , Shuiyuan Cheng , Feng Xu

Selenium(Se) is an essential trace element for the human body. However, in areas with high Se content, the soil usually also has excessive levels of cadmium (Cd), which poses a challenge for the Se - rich industry. This study investigates the physiological and molecular mechanisms by which nano - selenium (SeNPs) alleviates Cd stress in the Se hyperaccumulator plant Cardamine violifolia. This study comprehensively elucidated the co-regulation mechanism of selenium and Cd in plants based on physiological and biochemical indicators, combined with transcriptomics analysis and molecular docking technology. The results indicated that treatment with SeNPs resulted in a significant reduction (73.9 %) in cadmium accumulation in the plants, along with a 16.3 % increase in biomass and a 27.0 % improvement in net photosynthetic rate. Physiological experiments reveal that SeNPs reconstruct the redox balance network by activating antioxidant enzyme systems, particularly peroxidase (POD). Furthermore, SeNPs conferred comprehensive protection on the photosynthetic apparatus by regulating stomatal closure, maintaining pigment levels, and moreover, enhancing the activity of key photosynthetic enzymes. Transcriptomic analysis identifies, for the first time, the heat shock protein HSP90 - 1 as a key common target of Se and Cd. Molecular docking confirms that SeNPs competitively displace Cd from the active site of HSP90 - 1 via Se - S bond formation, restoring its ATPase activity and chaperone function.This study proposes a ternary regulatory model of "essential trace element (Se) - toxic heavy metal (Cd) - Co-regulated target (HSP90 - 1)," offering novel molecular targets and nutritional intervention strategies for controlling Cd pollution in Se - enriched crops. These findings hold significant implications for the sustainable development of functional agriculture.

硒（Se）是人体必需的微量元素。然而，在高硒地区，土壤中镉含量通常也过高，这对富硒产业构成了挑战。本研究探讨了纳米硒（SeNPs）缓解硒超富集植物小豆碱（Cardamine violifolia）镉胁迫的生理和分子机制。本研究基于生理生化指标，结合转录组学分析和分子对接技术，全面阐明了硒和镉在植物体内的共调控机制。结果表明，SeNPs处理显著降低了植株的镉积累量（73.9%），生物量增加16.3%，净光合速率提高27.0%。生理实验表明，SeNPs通过激活抗氧化酶系统，特别是过氧化物酶（POD）来重建氧化还原平衡网络。此外，SeNPs通过调节气孔关闭、维持色素水平以及增强关键光合酶的活性，对光合机构提供了全面的保护。转录组学分析首次发现热休克蛋白HSP90 - 1是Se和Cd的关键共同靶点。分子对接证实，SeNPs通过Se - S键形成竞争性地将Cd从HSP90 - 1的活性位点取代，恢复其atp酶活性和伴侣功能。本研究提出了“必需微量元素(Se) -有毒重金属(Cd) -共调控靶点（HSP90 - 1）”三元调控模型，为控制富硒作物镉污染提供了新的分子靶点和营养干预策略。这些发现对功能农业的可持续发展具有重要意义。

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引用次数: 0

Can artificial intelligence promote urbanization processes in harmony with carbon emissions abatement? 人工智能能否与碳减排协调推进城市化进程？

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-14 DOI: 10.1016/j.jclepro.2026.147463

Zequn Dong , Zengqiang Zhang , Bintong Yu , Lixiang Zhang , Chaodan Tan

The development of Artificial Intelligence (AI) technology provides new opportunities for achieving greener and more sustainable urbanization. The relationship between urbanization and carbon emissions has long been a focus of both academic research and policy discussions. Traditional views generally maintain that urbanization inevitably leads to higher carbon emissions, creating a significant challenge for sustainable urban growth. However, AI technology's rapid development opens up new possibilities for reconfiguring this relationship. This study examines whether, and under what conditions, AI can help harmonize urbanization with carbon emissions reduction. Using a balanced panel dataset covering 68 countries from 2005 to 2019, this study revisits the relationship between urbanization and carbon emissions and explores how AI technology may change this relationship. The findings reveal three key points: (1) Baseline regression reconfirms the established positive relationship between urbanization and carbon emissions. (2) AI has the potential to mitigate this positive correlation. (3) Additionally, the study identifies a non-linear relationship between urbanization and carbon emissions across varying stages of AI development. Specifically, as AI advances, the influence of urbanization on carbon emissions follows an “inverted U” pattern. In the initial phase of AI development, urbanization continues to increase carbon emissions. However, beyond a certain threshold of AI progress, the impact of urbanization on carbon emissions begins to decline, eventually leading to a synergistic in carbon emissions reduction alongside urbanization growth in regions with high AI development. These results offer new insights into the potential of AI to align urbanization with environmental goals. They provide a valuable empirical foundation for developing strategies in smart city planning and environmental policy.

人工智能（AI）技术的发展为实现更绿色、更可持续的城市化提供了新的机遇。城市化与碳排放的关系一直是学术界和政策讨论的焦点。传统观点普遍认为，城市化不可避免地导致更高的碳排放，这对城市的可持续发展构成了重大挑战。然而，人工智能技术的快速发展为重新配置这种关系开辟了新的可能性。本研究考察了人工智能是否以及在什么条件下可以帮助协调城市化与碳减排。本研究使用涵盖2005年至2019年68个国家的平衡面板数据集，重新审视了城市化与碳排放之间的关系，并探讨了人工智能技术如何改变这种关系。结果表明：(1)基线回归再次证实了城市化与碳排放之间的正相关关系。(2)人工智能有可能缓解这种正相关关系。(3)此外，研究还发现，在人工智能发展的不同阶段，城市化与碳排放之间存在非线性关系。具体而言，随着人工智能的发展，城市化对碳排放的影响呈“倒U”型。在人工智能发展的初始阶段，城市化继续增加碳排放。然而，超过人工智能发展的一定阈值，城市化对碳排放的影响开始下降，最终导致人工智能高发展地区的碳减排与城市化增长协同。这些结果为人工智能在将城市化与环境目标结合起来方面的潜力提供了新的见解。它们为制定智慧城市规划和环境政策战略提供了宝贵的经验基础。

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引用次数: 0

One-step treatment of hydrometallurgical wastewater of photovoltaic laminates with ferrite process under weak alkali conditions: Regulation, precipitation characteristics, and mechanism 弱碱条件下铁氧体法一步处理光伏板湿法冶金废水：规律、沉淀特征及机理

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-14 DOI: 10.1016/j.jclepro.2026.147530

Menghan Dai , Li Dong , Yang He , Jingyang Liu , Jianqiang Zhang , Yuwen Guo

The metal ions contained in the hydrometallurgical wastewater from decommissioned photovoltaic laminates are harmful to the environment. A high-efficiency ferrite one-step strategy is proposed to regulate and treat these metal ions under weak alkaline conditions. The optimal experimental conditions (pH = 8, n(Fe³⁺):n(Fe²⁺) = 1, n(Fe²⁺):n(Me) = 7.5, t = 10 min, T = 55 °C) resulted in a 99.04 % removal of metals from wastewater. The residual concentration of metals complies with the emission standards of China. Through XRD, XPS, SEM and TEM characterization of the precipitate, it was determined that the main components were ferrites. Cu²⁺ is introduced into the spinel lattice to form CuFe₂O₄, which is the key to achieving one-step stability, whereas other metal ions are stably encapsulated and removed in a composite form. The TEM and vibrating sample magnetometry characterization showed that the precipitate had a large specific surface area and high saturation magnetization. Under a 1500 Gs magnetic field, the sedimentation rate was increased by 80 % compared to natural sedimentation, achieving rapid solid-liquid separation. The removal of multiple metals from the waste liquid undergoes two stages: the formation and doping of ferrite, and the stable encapsulation of metal compounds by ferrite. The resulting composite precipitates exhibit high stability and have potential applications in adsorption, wave absorption, catalysis, and various other fields after drying. This provides a green, circular and efficient approach for the treatment, disposal, and resource utilization of photovoltaic modules during the decommissioning stage.

光伏层压板退役湿法冶金废水中含有的金属离子对环境有害。提出了一种高效的铁氧体一步法在弱碱性条件下调控和处理这些金属离子。最佳实验条件(pH = 8, n(Fe3+):n(Fe2+) = 1, n（Fe2+):n(Me) = 7.5, t = 10 min, t = 55℃）可使废水中的金属去除率达到99.04%。金属残留浓度符合中国排放标准。通过对析出物的XRD、XPS、SEM和TEM表征，确定析出物的主要成分为铁氧体。Cu2+被引入尖晶石晶格形成CuFe2O4，这是实现一步稳定的关键，而其他金属离子则被稳定地封装并以复合形式去除。TEM和振动样品磁强计表征表明，沉淀具有较大的比表面积和较高的饱和磁化强度。在1500 g磁场作用下，沉降速率比自然沉降提高80%，实现了固液快速分离。废液中多种金属的脱除经历两个阶段：铁氧体的形成和掺杂，以及铁氧体对金属化合物的稳定包封。所得到的复合沉淀具有较高的稳定性，在干燥后的吸附、波吸收、催化等各个领域具有潜在的应用前景。这为光伏组件退役阶段的处理、处置和资源利用提供了绿色、循环和高效的途径。

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引用次数: 0

Optimized crystallization and thermal treatment for high-purity calcium fluoride recovery from fluoride-containing wastewater 从含氟废水中回收高纯氟化钙的优化结晶和热处理工艺

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-13 DOI: 10.1016/j.jclepro.2026.147537

Won Kyung Kim , Hyunuk Kang , Ahyeon Lim , Hansol Jang , Yugyeong Kang , Jane Chung , David Inhyuk Kim , Juhyuk Moon

Industrial semiconductor wastewater contains extremely high fluoride concentrations, yet conventional treatments often produce low-purity calcium fluoride (CaF₂) sludge. This study establishes an optimized crystallization process combined with thermal treatment to recover high-purity CaF₂ directly from real wastewater. Calcium hydroxide (Ca(OH)₂) suspension was used as the calcium source, and the [Ca²⁺]/[F⁻] ratio was systematically adjusted to determine optimal conditions. At the optimal ratio of 0.39 under alkaline conditions (pH 10), fluoride removal reached 98 %, yielding products with 99 wt% CaF₂ purity. X-ray diffraction (XRD) characterization revealed that drying at 105 °C retained chemically bound water, leading to amorphous CaF₂ formation (2.17 wt%). Meanwhile, thermal treatment at 400 °C effectively addressed these limitations through dehydration and recrystallization, reducing amorphous content to 1.10 wt%. The recovered CaF₂ exceeded acid-grade CaF₂ concentrate requirements (>97 wt%), demonstrating that hazardous wastewater can be upcycled into a stable, high-value mineral resource. These results highlight the importance of thermal treatment in producing CaF₂ with crystallographic quality suitable for industrial reuse.

工业半导体废水含有极高的氟化物浓度，但常规处理往往产生低纯度的氟化钙（CaF2）污泥。本研究建立了一种优化的结晶与热处理相结合的工艺，可直接从实际废水中回收高纯度CaF2。以氢氧化钙（Ca(OH)2）悬浮液为钙源，系统调节[Ca2+]/[F−]的比例，确定最佳条件。在碱性条件下（pH 10），当最佳倍率为0.39时，氟化物去除率达到98%，所得产品CaF2纯度为99%。x射线衍射（XRD）表征表明，在105℃下干燥保留了化学结合水，导致无定形的CaF2形成（2.17 wt%）。同时，在400°C下进行热处理，通过脱水和再结晶有效地解决了这些限制，将非晶态含量降低到1.10 wt%。回收的CaF2超过了酸级CaF2精矿的要求（> 97% wt%），表明危险废水可以升级回收为稳定的高价值矿产资源。这些结果突出了热处理在生产适合工业再利用的结晶质量的CaF2中的重要性。

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引用次数: 0

Spatiotemporal evolution and resilience optimization of urban ecological networks: A case study of the Xiong'an New Area 城市生态网络时空演化与弹性优化——以雄安新区为例

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-13 DOI: 10.1016/j.jclepro.2026.147485

Lixiang Wen , Junhong Bai , Yuejing Rong , Langying Long , Changhong Xiao , Yanan Guan , Baoshan Cui

Ecological networks (ENs) are critical for enhancing urban ecological resilience and mitigating the impacts of natural hazards by sustaining biodiversity and ecosystem services. However, previous studies often rely on proxy indicators or composite indices to assess resilience, with limited attention to the dynamic resilience of ENs under future land use scenarios. This study proposes an integrated framework to trace the spatiotemporal evolution of ENs and assess their resilience dynamics. Taking the Xiong'an New Area (XNA) as a case study, land use patterns in 2035 were simulated under natural development scenario (NDS) and planning conservation scenario (PCS) using the patch-generating land use simulation (PLUS) model. Circuit theory was then applied to construct ENs and evaluate their resilience from 2005 to 2035 via complex network analysis. Results showed that the establishment of the XNA reversed the declining trends in both ecological land area and EN resilience. Under the PCS, ecological land was 120.24 % greater than under NDS. EN resilience values ranged from 0.85 to 1.20 between 2005 and 2035, with PCS (1.15) surpassing NDS (0.99) in 2035. The Baiyangdian wetland, a key ecological hub with the highest node importance, plays a vital role in the XNA but its overreliance increases network vulnerability. Accordingly, integrated strategies for protection and restoration were provided to strengthen urban ecological resilience, leading to an 18.97 % improvement in network resilience. The proposed framework provides a reproducible pathway to identify network resilience variations and design resilience-oriented spatial strategies, offering valuable insights for urban green infrastructure and sustainable land use planning.

生态网络（ENs）对于通过维持生物多样性和生态系统服务来增强城市生态复原力和减轻自然灾害影响至关重要。然而，以往的研究往往依赖于代理指标或综合指数来评估弹性，对未来土地利用情景下ENs的动态弹性关注较少。本研究提出了一个综合框架来追踪生态系统的时空演变并评估其弹性动态。以雄安新区（XNA）为例，采用斑块生成土地利用模拟（PLUS）模型，模拟了2035年雄安新区在自然发展情景（NDS）和规划保护情景（PCS）下的土地利用格局。运用电路理论构建了2005 - 2035年中国城市网络，并通过复杂网络分析对其弹性进行了评价。结果表明，生态用地面积和生态恢复力的下降趋势得到逆转。在PCS下，生态用地比NDS下增加了120.24%。2005 ~ 2035年EN弹性值在0.85 ~ 1.20之间，其中PCS（1.15）在2035年超过NDS（0.99）。白洋淀湿地作为节点重要性最高的关键生态枢纽，在XNA中发挥着至关重要的作用，但其过度依赖增加了网络的脆弱性。据此，提出了加强城市生态弹性的综合保护与恢复策略，使网络弹性提高了18.97%。该框架为识别网络弹性变化和设计以弹性为导向的空间策略提供了可复制的途径，为城市绿色基础设施和可持续土地利用规划提供了宝贵的见解。

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引用次数: 0