Next Sustainability最新文献

Circularity in polyethylene waste management through multidimensional integration 通过多维整合实现聚乙烯废物管理的循环性

Next Sustainability

Pub Date : 2026-01-14 DOI: 10.1016/j.nxsust.2026.100247

Anil Kumar Vinayak, Garima Chauhan

Polyethylene (PE) is the most widely produced plastic worldwide, yet remains among the least effectively recycled, highlighting a persistent gap between production volume and material circularity. This review addresses three central questions: (i) which structural and systemic constraints most strongly limit PE circularity across its life cycle, (ii) how these constraints interact to influence recyclate quality and material flows, and (iii) to what extent existing recycling strategies respond to these constraints in practice. The review integrates peer-reviewed literature and open-access policy and technical reports published between 2000 and 2025 with emphasis on studies after 2020, focusing on PE-specific material properties, additive systems, degradation behavior, recycling performance, and governance structures. Studies were included if they explicitly addressed PE and provided empirical, technical, or policy-relevant insights into one or more of these constraint domains. Using a systematic constraint-mapping methodology, six interdependent technical, economic, regulatory, and behavioral constraints were identified that collectively limit recyclate quality, restrict closed-loop applications, and reinforce persistent downcycling. Recycling technologies were evaluated both on technical performance and their capacity to function under these systemic constraints. The findings demonstrate that restricted circularity is driven less by technological gaps than by misalignment between polymer design, additive complexity, market incentives, and policy frameworks. These insights have direct practical and policy relevance, highlighting the need for quality-oriented recycling metrics, harmonized regulations, and design-for-recycling strategies. A focused case study of Alberta, Canada, illustrates how regional infrastructure, regulatory conditions, and investment patterns shape practical recycling performance and reinforce the importance of context-sensitive circular economy interventions.

聚乙烯（PE）是世界上生产最广泛的塑料，但仍然是回收效率最低的塑料之一，突显了产量与材料循环之间的持续差距。本综述解决了三个核心问题：(i)哪些结构和系统约束最强烈地限制了PE在其整个生命周期中的循环性，（ii）这些约束如何相互作用以影响回收质量和材料流，以及（iii）现有的回收策略在实践中对这些约束的响应程度。该综述整合了2000年至2025年间发表的同行评议文献、开放获取政策和技术报告，重点关注2020年后的研究，重点关注pe特定材料特性、添加剂体系、降解行为、回收性能和治理结构。如果研究明确地解决了PE问题，并对这些约束领域中的一个或多个提供了经验的、技术的或政策相关的见解，则将其包括在内。使用系统的约束映射方法，确定了六个相互依赖的技术、经济、监管和行为约束，这些约束共同限制了回收质量，限制了闭环应用，并加强了持续的降级循环。对回收技术的技术性能和在这些系统约束下发挥作用的能力进行了评估。研究结果表明，聚合物设计、添加剂复杂性、市场激励和政策框架之间的不一致，而不是技术差距造成的循环受限。这些见解具有直接的实际意义和政策相关性，突出了以质量为导向的回收指标、统一的法规和为回收而设计的战略的必要性。对加拿大阿尔伯塔省的重点案例研究说明了区域基础设施、监管条件和投资模式如何影响实际的回收绩效，并加强了对环境敏感的循环经济干预措施的重要性。

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引用次数: 0

Design and evaluation of a scalable decentralised greywater treatment technology for reuse, towards climate and WASH resilient urban communities 设计和评估可扩展的分散式灰水处理技术，用于气候和WASH弹性城市社区的再利用

Next Sustainability

Pub Date : 2026-01-09 DOI: 10.1016/j.nxsust.2026.100246

Samuel Adjei-Nimoh , Eugene Appiah-Effah , Kofi Akodwaa-Boadi , Barbara Gyapong-Korsah

In the context of water scarcity and the post-COVID-19 pandemic, treating greywater from handwashing stations for reuse is essential and climate-resilient. This study evaluated sand and gravel filters with passive chlorination for greywater treatment. Greywater from a standalone handwashing station at Ejisu, Ghana, was collected as influent. Influent and filtrates were analysed for physico-chemical and microbial quality using American Public Health Association (APHA) and HACH protocols. Setups I and II, utilising sand media, effectively improved the physico-chemical quality and pathogen removal. Significant differences in filtrate quality were observed for BOD₅, nitrate, turbidity, and COD removal (p < 0.05) across all treatment setups. Post-treatment analysis revealed phosphate concentrations in the filtrates of Setups I, II, and the control were all within regulatory limits. Filter run time was estimated as 44 days for Setup I, 45 days for Setup II, and 53 days for the control (Setup III). A paired-sample t-test indicated a significant difference in flow rates and filter run times across all treatment setups. Treated water from Setup I was the most suitable for handwashing, highlighting the effectiveness of low-cost greywater treatment technologies and the importance of media selection and system design. Its simplicity makes it ideal for schools, healthcare facilities, informal settlements, and during WASH emergencies. To scale-up the technology, modular designs, locally sourced materials, and community training for operation and maintenance should be prioritised.

在水资源短缺和2019冠状病毒病后大流行的背景下，处理洗手站的灰水进行再利用至关重要，而且具有气候适应性。本研究评价了砂和砾石过滤器的被动氯化处理灰水。从加纳Ejisu的一个独立洗手站收集灰水作为进水。采用美国公共卫生协会（APHA）和HACH方案对进水和滤液进行理化和微生物质量分析。装置1和装置2利用砂介质，有效地提高了理化品质和病原体去除率。在所有处理设置中，滤液质量在BOD5、硝酸盐、浊度和COD去除率方面存在显著差异（p <； 0.05）。处理后分析显示，装置I、II和对照滤液中的磷酸盐浓度均在规定范围内。设置I的过滤器运行时间估计为44天，设置II为45天，对照组（设置III）为53天。配对样本t检验表明，在所有处理装置中，流速和过滤器运行时间存在显著差异。装置1处理后的水最适合用于洗手，这突出了低成本灰水处理技术的有效性以及介质选择和系统设计的重要性。它的简单性使其成为学校、卫生保健设施、非正式定居点和讲卫生紧急情况期间的理想选择。为了扩大这项技术的规模，应该优先考虑模块化设计、当地采购的材料以及社区对操作和维护的培训。

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引用次数: 0

Evaluating green operational efficiency of West African container ports along the belt and road initiative using super-efficiency SBM-DEA and Malmquist productivity index 基于超效率SBM-DEA和Malmquist生产力指数的“一带一路”沿线西非集装箱港口绿色运营效率评估

Next Sustainability

Pub Date : 2026-01-08 DOI: 10.1016/j.nxsust.2025.100239

Afi Laeticia Awaga, Yan Yan, Wei Xu, Xin Ji

Environmental management has become one of the most critical components of port operations worldwide as seaports go green. This study, therefore, employed the super-efficiency SBM-DEA (Slack-Based Measure Data Envelopment Analysis) model and the Malmquist productivity index to assess the green operational efficiency of seven major container ports in West Africa in the context of sustainable development. In addition to being part of the Belt and Road program, the container ports were chosen due to their significance in promoting international trade in West Africa. Quay length, labor population, terminal area, and energy consumption are input indicators. On the other hand, container throughput, sulfur dioxide (SO₂) emissions, particulate matter (PM2.5), carbon dioxide (CO₂), phytoplankton biodiversity, Leq24, and petroleum hydrocarbons are among the output indicators. These indicators reflect the economic, operational, social, ecological, and environmental components of sustainable port operations. The analysis's findings indicate that, in terms of green operational efficiency, four of the seven container ports are efficient, while three are inefficient. Phytoplankton biodiversity (PP), energy consumption, terminal area, petroleum hydrocarbon (PH), Leq24, container throughput, and SO2 emissions are some elements that impact inefficient ports. Moreover, it has been demonstrated that low levels of technical efficiency, pure technical efficiency, and scale efficiency over the study time impede the increase in the total factor productivity of container ports' green operational efficiency. To tackle these problems, investing in green infrastructure, implementing energy-efficient technologies, and investing in green technologies are recommended.

随着港口走向绿色，环境管理已成为全球港口运营中最关键的组成部分之一。因此，本研究采用超效率smm - dea（基于slack的测度数据包络分析）模型和Malmquist生产率指数对可持续发展背景下西非7个主要集装箱港口的绿色运营效率进行了评估。除了作为“一带一路”计划的一部分外，选择集装箱港口还因为它们在促进西非国际贸易方面的重要性。输入指标为码头长度、劳动人口、码头面积、能源消耗。另一方面，集装箱吞吐量、二氧化硫（SO2）排放、颗粒物（PM2.5）、二氧化碳（CO2）、浮游植物生物多样性、Leq24和石油碳氢化合物是输出指标。这些指标反映了可持续港口运营的经济、运营、社会、生态和环境组成部分。分析结果表明，就绿色运营效率而言，七个集装箱港口中有四个是高效的，而三个是低效的。浮游植物多样性（PP）、能源消耗、码头面积、石油烃（PH）、Leq24、集装箱吞吐量和SO2排放是影响低效港口的一些因素。此外，在研究时间内，技术效率、纯技术效率和规模效率水平较低阻碍了集装箱港口绿色运营效率全要素生产率的提高。为了解决这些问题，建议投资绿色基础设施、实施节能技术和投资绿色技术。

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引用次数: 0

Pomegranate peel-derived AgNPs for enhanced food safety: Insights into eco-friendly synthesis, antimicrobial, anti-weevil, and jute sack functionalization applications 石榴皮衍生的AgNPs用于增强食品安全：对环保合成，抗菌，抗象鼻虫和黄麻袋功能化应用的见解

Next Sustainability

Pub Date : 2026-01-03 DOI: 10.1016/j.nxsust.2025.100244

A.O. Fajingbesi , A. Lateef , L. Azeez , D. Mishra

This research reports biosynthesis of AgNPs using pomegranate peel extract and the mechanism of synthesis for potential applications in controlling insects and microbial contamination in stored foods. AgNPs was characterized by UV-Vis spectrophotometry, FTIR, GC-MS, XRD, SEM and HRTEM. The extract successfully synthesized spherical-shaped AgNPs with maximum absorbance at 418 nm and sizes of 7–30 nm. The GC-MS analysis showed several phytochemicals found in the extract and colloidal AgNPs with antimicrobial, insecticidal, antiviral, anticancer and antioxidant potentials. The GC-MS chromatogram of AgNPs showed formation of new compounds which could have been formed through nanocatalysis of the components of the peel extract and may represent new clues about the phytochemical fingerprints of biosynthesized nanoparticles. The synthesized nanoparticles exhibited potent antibacterial activities against multidrug resistant Escherichia coli, Bacillus licheniformis, B. subtilis, Proteus mirabilis, Klebsiella oxytoca and B. megaterium with MIC of 60 µg/ml, and antifungal activities of 78.51–80.95 % against Aspergillus niger, A. fumigatus, A. flavus and Fusarium solani at 100 µg/ml. Exposure to AgNPs triggered leaching of DNA and proteins from the bacterial cells. The AgNPs also killed bean weevils (40–90 %), and could therefore be exploited in combating spoilage caused by microorganisms and insects in food products. Herein, we report for the first time, that AgNPs-functionalized jute sack exhibited 100 % antifungal activities at AgNPs inclusion levels of 25–42.5 µg/ml and anti-weevil activity of 90 % at 25 µg/ml compared to inactivity by the non-functionalized sacks. These results highlight the potential roles of the biosynthesized AgNPs in enhancing public health, food safety and security.

本研究报道了用石榴皮提取物合成AgNPs的方法及其在控制食品中昆虫和微生物污染方面的潜在应用。采用紫外-可见分光光度法、FTIR、GC-MS、XRD、SEM和HRTEM对AgNPs进行了表征。该萃取物成功合成了球形AgNPs，最大吸光度为418 nm，尺寸为7-30 nm。GC-MS分析表明，在提取物和胶体AgNPs中发现了几种植物化学物质，具有抗菌、杀虫、抗病毒、抗癌和抗氧化的潜力。AgNPs的GC-MS图谱显示了新的化合物的形成，这些化合物可能是通过果皮提取物成分的纳米催化形成的，这可能为生物合成纳米颗粒的植物化学指纹图谱提供了新的线索。合成的纳米颗粒对多重耐药大肠杆菌、地衣芽孢杆菌、枯草芽孢杆菌、奇异变形杆菌、氧化克雷伯菌和巨型芽孢杆菌的抑菌活性为60 µg/ml，对100 µg/ml的黑曲霉、烟曲霉、黄曲霉和茄枯菌的抑菌活性为78.51 ~ 80.95 %。暴露于AgNPs会引发细菌细胞中的DNA和蛋白质的浸出。AgNPs还能杀死豆象（40-90 %），因此可用于防治食品中微生物和昆虫引起的腐败。在此，我们首次报道了AgNPs功能化的黄麻麻袋在AgNPs包含水平为25 - 42.5 µg/ml时表现出100 %的抗真菌活性，在25 µg/ml时表现出90 %的抗象甲活性，而非功能化麻袋则没有活性。这些结果突出了生物合成AgNPs在加强公共卫生、食品安全和保障方面的潜在作用。

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引用次数: 0

A review of nano-bubble technology in washing: An ecological advancement of post-consumer recycled denim clothing 纳米气泡技术在洗涤中的应用综述：消费后再生牛仔服装的生态进步

Next Sustainability

Pub Date : 2026-01-02 DOI: 10.1016/j.nxsust.2025.100245

Kaniz Farhana , Mohammad Ashraful Alam

The nano-bubble technique is a cutting-edge method of washing clothes that uses the special physical and chemical characteristics of tiny gas bubbles to increase sustainability and efficiency while also making the operation more environmentally friendly. This article examines the importance of nano-bubble technology in the denim industry throughout the washing process. It explains how this washing method can help recycled post-consumer denim textiles overcome their issues. This study demonstrated how nano-bubbles improve the efficiency of washing of recycled denim by using less water and chemicals, enabling high-value uses for recycled fibers, and combining the growing need to preserve fashion with sustainability. Moreover, the present study highlights the nano-bubble technology as a ground-breaking instrument for attaining sustainability in the denim sector, considering the existing conditions of these well-known businesses, their adoption of technological improvement, and their concern for environmental impact. In addition, it discussed the present shortcomings, challenges, and prospects for improving the washing process using nano-bubbles. By using this technology, the denim sector may reduce waste and its environmental impact by implementing a more sustainable and efficient recycling system.

纳米气泡技术是一种尖端的洗衣方法，它利用微小气泡的特殊物理和化学特性来提高可持续性和效率，同时也使操作更加环保。本文探讨了纳米气泡技术在牛仔布工业洗涤过程中的重要性。它解释了这种洗涤方法如何帮助回收消费后的牛仔纺织品克服它们的问题。这项研究展示了纳米气泡如何通过使用更少的水和化学品来提高回收牛仔布的洗涤效率，实现回收纤维的高价值利用，并将日益增长的时尚保护需求与可持续性结合起来。此外，考虑到这些知名企业的现有条件，他们对技术改进的采用，以及他们对环境影响的关注，本研究强调纳米气泡技术是实现牛仔行业可持续发展的突破性工具。此外，还讨论了目前纳米气泡洗涤工艺的不足、挑战和发展前景。通过使用这项技术，牛仔行业可以通过实施更可持续和有效的回收系统来减少浪费和对环境的影响。

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引用次数: 0

Spinel ferrite nanoparticles in environmental remediation: Adsorption, catalysis, and sustainability perspectives 尖晶石铁氧体纳米颗粒在环境修复中的应用：吸附、催化和可持续性观点

Next Sustainability

Pub Date : 2025-12-23 DOI: 10.1016/j.nxsust.2025.100240

Shameran Jamal Salih , Zahraa S. Tahseen

Spinel ferrite nanoparticles (MFe₂O₄, M = Co, Ni, Zn, Cu, Mg) are emerging as versatile materials for environmental remediation because they combine surface reactivity with magnetic separation. This review critically evaluates the efficiency of MFe₂O₄ catalyst(s) for treatment diverse pollutants, including heavy metals, organic dyes, pharmaceuticals, radionuclides, gaseous contaminants, and inactive microorganisms. Particular attention is given to how cation distribution, particle size, and synthesis route control surface hydroxyl density, point of zero charge, and magnetization, and how these properties govern adsorption, photo-catalysis, Fenton-like reactions, and magnetic recovery. Reported studies demonstrate strong pollutant removal efficiencies, yet most remain confined to idealized laboratory conditions, limited regeneration cycles, and short-term testing. Functionalization and hybrid systems improve selectivity and catalytic activity, but often increase synthesis cost and complexity. Despite promising results, challenges remain in scaling synthesis while preserving performance, verifying durability in real effluents, and integrating ferrites into continuous treatment systems. Life cycle considerations, including long-term transformation, toxicity, and environmental fate, are rarely addressed but essential for responsible application. By separating demonstrated capabilities from unresolved gaps, this review identifies where MFe₂O₄ can realistically contribute to remediation technologies and outlines priorities for advancing their sustainable deployment.

尖晶石铁氧体纳米颗粒（MFe2O4, M = Co, Ni, Zn, Cu, Mg）由于其结合了表面反应性和磁分离，正成为环境修复的通用材料。本文综述了MFe2O4催化剂处理各种污染物的效率，包括重金属、有机染料、药物、放射性核素、气态污染物和非活性微生物。特别关注阳离子分布、颗粒大小和合成路线如何控制表面羟基密度、零电荷点和磁化，以及这些性质如何控制吸附、光催化、类芬顿反应和磁回收。已有的研究表明，该技术具有很强的污染物去除效率，但大多数仍局限于理想的实验室条件、有限的再生周期和短期测试。功能化和杂化体系提高了选择性和催化活性，但往往增加了合成成本和复杂性。尽管取得了令人满意的结果，但在保持性能的同时进行结垢合成、在实际废水中验证耐久性以及将铁氧体集成到连续处理系统中仍然存在挑战。生命周期的考虑，包括长期转化、毒性和环境命运，很少得到解决，但对负责任的应用至关重要。通过将已展示的能力与未解决的差距区分开来，本综述确定了MFe2O4在哪些方面可以为补救技术做出实际贡献，并概述了推进其可持续部署的优先事项。

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引用次数: 0

Estimating manufacturing value-added via hybrid ANFIS-GA and PSO optimization: A macro-analysis of European OECD economies 通过混合anfiss - ga和PSO优化估计制造业增加值：欧洲经合组织经济体的宏观分析

Next Sustainability

Pub Date : 2025-12-23 DOI: 10.1016/j.nxsust.2025.100241

Mustafa Özdemir, Metin Özkul

In recent years, artificial intelligence-based hybrid methods have gained increasing attention for addressing complex and nonlinear problems in engineering and economic systems. This study proposes an innovative approach to estimate manufacturing value-added at the macro level by integrating innovation, entrepreneurship, and environmental indicators. An Adaptive Neuro-Fuzzy Inference System (ANFIS) model is optimized using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to improve estimation accuracy. The proposed hybrid models are tested across different population sizes and benchmarked against the standard ANFIS model. Comparative performance evaluation reveals that the ANFIS-GA model with a population size of 25 outperforms other models, achieving the most consistent and accurate estimation results with R²= 0.9080, MAE= 0.1455, MSE= 0.0325, RMSE= 0.1801, and PBIAS= 0.7960. The findings demonstrate the robustness and applicability of the ANFIS-GA model for manufacturing value-added prediction, offering valuable insights for policy makers and industrial decision-makers in enhancing production performance and sustainable development strategies.

近年来，基于人工智能的混合方法在解决工程和经济系统中的复杂和非线性问题方面受到越来越多的关注。本文提出了一种整合创新、创业和环境指标的宏观制造业增加值估算方法。采用遗传算法（GA）和粒子群算法（PSO）对自适应神经模糊推理系统（ANFIS）模型进行了优化，提高了估计精度。提出的混合模型在不同的种群规模上进行了测试，并与标准ANFIS模型进行了基准测试。对比性能评价表明，种群规模为25的anfiss - ga模型优于其他模型，获得了最一致、最准确的估计结果，R²= 0.9080，MAE= 0.1455，MSE= 0.0325，RMSE= 0.1801，PBIAS= 0.7960。研究结果证明了anfiss - ga模型在制造业增值预测中的稳健性和适用性，为政策制定者和产业决策者提高生产绩效和可持续发展战略提供了有价值的见解。

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引用次数: 0

Vegetation health analysis of hilly areas in Darjeeling District of West Bengal using analytical hierarchy process (1998–2022) 基于层次分析法的西孟加拉邦大吉岭丘陵区植被健康分析

Next Sustainability

Pub Date : 2025-12-23 DOI: 10.1016/j.nxsust.2025.100238

Suhel Sen , Md. Omar Sarif

Vegetation health is critical for maintaining ecological stability and minimizing landslide susceptibility, particularly in the fragile hilly terrain of Darjeeling District, West Bengal. This study aims to analyze the spatiotemporal variations in vegetation health from 1998 to 2022 and to evaluate how biophysical and climatic parameters collectively influence vegetation dynamics. The research integrates multiple vegetation indices, viz., NDVI, NDBI, NDMI, SAVI, and EVI, along with climatic variables such as land surface temperature (LST) and rainfall. Using the Analytical Hierarchy Process (AHP) within a GIS framework, weights were assigned to each parameter to produce a comprehensive vegetation health map and to assess long-term trends. Results reveal a notable decline in moderate and good vegetation health zones, coupled with localized improvement in very good health areas due to conservation interventions. These findings highlight the dual impact of anthropogenic pressure and restoration efforts in shaping the vegetation landscape. The study provides a methodological framework for long-term vegetation health monitoring and supports the formulation of eco-sensitive planning strategies for sustainable hill area management.

植被健康对于维持生态稳定和减少滑坡易感性至关重要，特别是在西孟加拉邦大吉岭地区脆弱的丘陵地带。本研究旨在分析1998 - 2022年植被健康的时空变化，并评估生物物理和气候参数如何共同影响植被动态。该研究综合了NDVI、NDBI、NDMI、SAVI、EVI等植被指数，以及地表温度、降雨等气候变量。利用地理信息系统框架内的层次分析法（AHP），为每个参数分配了权重，以生成全面的植被健康图并评估长期趋势。结果显示，中度和良好植被健康区植被数量显著下降，而良好植被健康区由于采取保护措施而局部得到改善。这些发现强调了人为压力和恢复努力在塑造植被景观方面的双重影响。该研究为长期植被健康监测提供了一个方法框架，并支持制定可持续山区管理的生态敏感规划战略。

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引用次数: 0

High-fidelity prediction of surfactant-enhanced oil remediation efficiency using a strictly curated dataset and a tabular foundation model 使用严格整理的数据集和表格基础模型对表面活性剂增强的石油修复效率进行高保真预测

Next Sustainability

Pub Date : 2025-12-22 DOI: 10.1016/j.nxsust.2025.100242

YanBang Tang

This study introduces a novel, high-fidelity modeling framework for surfactant-enhanced oil remediation (SEOR). Our hybrid strategy integrates a strict data curation pipeline—creating a complete-case, high-integrity dataset by avoiding imputation—with a state-of-the-art tabular foundation model, the Prior-data Fitted Network (TabPFN). Systematically benchmarked against 40 conventional machine learning algorithms, the TabPFN framework demonstrated a significant advance in predictive capability, achieving a coefficient of determination (R²) of 0.958 and a root mean squared error (RMSE) of 6.03. This represents a 21.2 % reduction in RMSE over the best-performing traditional model, Extra Trees Regressor (R²=0.932, RMSE=7.65). The unique strength of TabPFN lies in its pre-training, which allows it to deliver state-of-the-art accuracy on small scientific datasets without hyperparameter tuning. This work delivers a superior tool for understanding contaminant mobilization and establishes a robust, generalizable paradigm for modeling complex environmental systems.

本研究为表面活性剂增强型原油修复（SEOR）引入了一种新颖的高保真建模框架。我们的混合策略集成了一个严格的数据管理管道，通过避免输入来创建一个完整的、高完整性的数据集，以及一个最先进的表格基础模型，即先验数据拟合网络（TabPFN）。通过对40种传统机器学习算法进行系统基准测试，TabPFN框架在预测能力方面取得了显著进步，其决定系数（R²）为0.958，均方根误差（RMSE）为6.03。这表示与表现最好的传统模型Extra Trees Regressor （R²=0.932，RMSE=7.65）相比，RMSE降低了21.2 %。TabPFN的独特优势在于它的预训练，这使它能够在没有超参数调优的情况下在小型科学数据集上提供最先进的精度。这项工作为理解污染物的迁移提供了一个优越的工具，并为复杂环境系统的建模建立了一个强大的、可推广的范例。

引用次数: 0

Combining meta-analysis and local assessment: An in-depth approach on biochar use towards soil carbon sequestration 结合荟萃分析和本地评估：生物炭在土壤固碳中的深层应用

Next Sustainability

Pub Date : 2025-12-22 DOI: 10.1016/j.nxsust.2025.100243

Jhon Kenedy Moura Chagas, Cícero Célio de Figueiredo

This study evaluates the impact of biochar, produced by valorizing waste sewage sludge, on soil carbon (C) sequestration, combining a global meta-analysis with a four-year tropical field trial. Biochar application can enhance soil C and mitigate climate change, contributing to sustainable resource management. The meta-analysis of 586 paired comparisons from 169 studies showed increases in total C (TC) and various soil C fractions post-biochar application. In order to compare global results with local data, the effects of sewage sludge biochar (SSB) obtained at contrasting temperatures were evaluated in a field experiment conducted over five years. The field trial using SSB pyrolyzed at 300°C (SSB300) and 500°C (SSB500) showed modest TC increases (7.7 % with SSB300, 0.7 % with SSB500) and minimal changes in other C fractions. Importantly, the absolute TC gain with SSB300 surpassed those from practices like no-till farming. These results underscore the need to tailor biochar applications and optimize pyrolysis conditions to local settings to improve soil C sequestration. Adopting such context-specific strategies can enhance waste recycling, promote sustainable agriculture, and aid in climate change mitigation.

本研究结合一项全球荟萃分析和一项为期四年的热带实地试验，评估了生物炭对土壤碳(C)封存的影响。生物炭的应用可以提高土壤C，减缓气候变化，有助于可持续的资源管理。来自169项研究的586项配对比较的荟萃分析显示，施用生物炭后，总碳（TC）和各种土壤碳组分均有所增加。为了将全球结果与当地数据进行比较，在为期五年的现场试验中评估了在不同温度下获得的污水污泥生物炭（SSB）的效果。使用300°C （SSB300）和500°C （SSB500）热解的SSB的田间试验显示，TC有适度的增加（SSB300为7.7 %，SSB500为0.7 %），其他C组分变化很小。重要的是，SSB300的绝对TC收益超过了免耕等耕作方式。这些结果强调了定制生物炭应用和优化热解条件以改善土壤碳固存的必要性。采取这种因地制宜的战略可以加强废物回收，促进可持续农业，并有助于减缓气候变化。

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引用次数: 0