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The mutual impacts of climate change and wastewater treatment: Critical review of challenges and solutions 气候变化和废水处理的相互影响：挑战和解决方案的批判性审查

Next Sustainability

Pub Date : 2025-12-16 DOI: 10.1016/j.nxsust.2025.100231

Ali Karimaee, Benyamin Yaghobi, Fatemeh Sarraf, Farkhondeh Khorashadi Zadeh

Climate change has caused significant challenges to sustainable development in agriculture, industry, and infrastructure. Wastewater treatment, as a fundamental urban infrastructure in promoting sustainable city living, has also faced drastic problems due to climate change. These problems include changes in the volume and quality of influent wastewater, sewer overflows, damage to treatment plant infrastructures, and a reduction in overall treatment efficiency. Wastewater treatment also intensifies climate change effects through fossil fuel burning, greenhouse gas emissions, and marine eutrophication. Life cycle assessment as an effective tool for analyzing the mutual impacts of climate change on wastewater treatment processes indicates that the adoption of novel technologies transforms treatment plants from energy consumers into energy producers. Furthermore, the co-treatment of food and organic waste with conventional wastewater has led to a reduction in greenhouse gas emissions and an increase in biogas production. Additionally, optimizing stormwater treatment unit design and sludge management can reduce fossil fuel-related emissions by up to 84 % and non-carcinogenic human toxicity by up to 56 %. Given the reciprocal negative effects of climate change and wastewater treatment, it is necessary to seek practical approaches (such as reusing treated wastewater, bio-electrochemical processes and membrane bioreactors, constructed wetland, and biochar) to address these negative impacts. Utilizing new methods of wastewater treatment decreases energy consumption, increases plant efficiency, and provides economic benefits. This review provides a comprehensive insight into rectifying the wastewater treatment process for reducing the adverse effects of climate change and supports selecting cost-effective management strategies for decision-makers and plant managers.

气候变化给农业、工业和基础设施的可持续发展带来了重大挑战。污水处理作为促进可持续城市生活的基础设施，也面临着气候变化带来的严峻问题。这些问题包括流入废水的数量和质量的变化、下水道溢出、对处理厂基础设施的破坏以及总体处理效率的降低。废水处理还通过燃烧化石燃料、排放温室气体和海洋富营养化加剧了气候变化的影响。生命周期评估作为分析气候变化对废水处理过程相互影响的有效工具，表明采用新技术将处理厂从能源消费者转变为能源生产者。此外，将食物和有机废物与常规废水共同处理，减少了温室气体排放，增加了沼气产量。此外，优化雨水处理单元设计和污泥管理可以减少高达84% %的化石燃料相关排放和高达56% %的非致癌人类毒性。鉴于气候变化和废水处理的相互负面影响，有必要寻求切实可行的方法（如处理后的废水回用、生物电化学工艺和膜生物反应器、人工湿地和生物炭）来解决这些负面影响。利用废水处理的新方法减少能源消耗，提高工厂效率，并提供经济效益。这篇综述为纠正废水处理过程以减少气候变化的不利影响提供了全面的见解，并为决策者和工厂管理者选择具有成本效益的管理策略提供了支持。

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引用次数: 0

Pathways for coal-fired power plants green production process transition 燃煤电厂绿色生产过程转型路径

Next Sustainability

Pub Date : 2025-12-16 DOI: 10.1016/j.nxsust.2025.100236

Aleksandar Anastasovski

The transition from coal power plants to renewable energy sources is crucial to reducing greenhouse gas emissions and mitigate the effects of climate change. Coal combustion is a major contributor to global carbon emission. However, this transition is complex and requires careful consideration of various environmental, social, and economic factors to ensure the sustainability and efficiency of the selected renewable energy sources. Solutions include the use of renewable energy sources, natural gas, biomass, green hydrogen, green ammonia, investment in cogeneration systems, and carbon capture. Energy storage systems play a critical role in the integration of renewable energy sources with power plants. This review collected possible solutions and experiences in the transition from coal to renewable energy sources. Critical performance indicators are reviewed for any of these possible solutions in green transformation. As results of this review are prepared pathway scheme and transition algorithm. Pathways are summarized through the quantification parameters and experience information from literature.

从燃煤电厂向可再生能源的过渡对于减少温室气体排放和缓解气候变化的影响至关重要。煤炭燃烧是全球碳排放的主要来源。然而，这种转变是复杂的，需要仔细考虑各种环境、社会和经济因素，以确保所选可再生能源的可持续性和效率。解决方案包括使用可再生能源、天然气、生物质、绿色氢、绿色氨、投资热电联产系统和碳捕获。储能系统在可再生能源与发电厂的整合中起着至关重要的作用。这篇综述收集了从煤炭向可再生能源过渡的可能解决方案和经验。对绿色转型中任何这些可能的解决方案的关键性能指标进行了审查。在此基础上提出了路径方案和转换算法。通过文献中的量化参数和经验信息来总结路径。

引用次数: 0

Spatio-temporal dynamics in Bhitarkanika mangroves amid climate change showcasing the resilience and vulnerability due to cyclonic events 气候变化背景下比塔卡尼喀红树林的时空动态，展示了气旋事件的复原力和脆弱性

Next Sustainability

Pub Date : 2025-12-13 DOI: 10.1016/j.nxsust.2025.100233

Jassi Sharma , B.solomon Raju , Anjum Mahtab

Mangroves form a critical ecological shield for tropical coastlines, yet they are increasingly threatened by climate change, extreme events, and human interventions. Assessing their health and vulnerability is therefore essential for sustainable coastal management. The integration of MaxEnt, MIROC6 climate projections, and 20-year LCLU data allows for assessing mangrove resilience under both historical and future climatic extremes. The present study identifies changes in land cover/use of Bhitarkanika Wildlife Sanctuary during the period 2004–2024 using multi-temporal satellite images. The resilience and vulnerability of mangroves was estimated using the global climate model MIROC6 and incorporating extreme events. The spatio-temporal, remotely sensed high-resolution LANDSAT series satellite imagery utilized for the study region for the time period of 2004–2024. The pixel-based random forest supervised classification technique using Google Earth Engine has been used for LC/LU classification. The results indicate that dense mangrove cover remained stable at approximately 135 km² in both 2009 and 2024. However, from 2004 to 2024, there was an overall growth of about 2.12 %. In contrast, agricultural land expanded by 382.21 km², showing a growth of 10.55 % over the same period. The open vegetation class showed a gradual but notable increase of approximately 105.40 km² between 2004 and 2024, representing an 89.77 % growth. Furthermore, projections suggest that mangrove resilience will improve significantly, with an estimated increase of 499.77 km² under the SSP 370 scenario and 459.27 km² under SSP 585. The study's outcome provides a robust framework to link land-use dynamics with species distribution and climate-driven vulnerability, which can be utilised by forest managers, local authorities, and the government in conservation and planning management strategies.

红树林是热带海岸线的重要生态屏障，但它们日益受到气候变化、极端事件和人类干预的威胁。因此，评估它们的健康和脆弱性对可持续沿海管理至关重要。整合了MaxEnt、MIROC6气候预测和20年LCLU数据，可以评估历史和未来极端气候下红树林的恢复能力。本研究利用多时相卫星图像确定了2004-2024年Bhitarkanika野生动物保护区土地覆盖/利用的变化。利用全球气候模式MIROC6并结合极端事件估算了红树林的复原力和脆弱性。2004-2024年研究区遥感高分辨率LANDSAT系列卫星影像。基于谷歌Earth Engine的基于像素的随机森林监督分类技术被用于LC/LU分类。结果表明，2009年和2024年，茂密的红树林覆盖面积稳定在135 km²左右。然而，从2004年到2024年，总体增长率约为2.12 %。相比之下，同期农业用地增加了382.21 km²，增长了10.55 %。2004 - 2024年，开阔植被类增加了105.40 km²，增长89.77 %。此外，预测表明，在SSP 370情景下，红树林的恢复力将显著提高，估计增加499.77 km²，在SSP 585情景下增加459.27 km²。该研究的结果提供了一个强有力的框架，将土地利用动态与物种分布和气候驱动的脆弱性联系起来，森林管理者、地方当局和政府可以利用这个框架制定保护和规划管理战略。

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引用次数: 0

Differential impact of fire on tree diversity, composition, structure and carbon stock in tropical savanna 林火对热带稀树草原树木多样性、组成、结构和碳储量的差异影响

Next Sustainability

Pub Date : 2025-12-13 DOI: 10.1016/j.nxsust.2025.100229

Shovasish Karna , Shanmuganathan Jayakumar

Tropical savannas are characterized as a stable and fire-dependent biome, in which recurrent fire is a prominent feature. Fire frequency stands out as one of the most influential parameters in the savanna fire regime. In Asia, savannas are often misclassified as derived or degraded forests, India is no exception. Due to its patchy distribution, longstanding confusion over the vegetation type, little scientific attention was paid to the ecological and compositional aspects of savanna concerning fire frequency. Understanding the tree community dynamics concerning fire frequency has immense potential, particularly in the Indian context. This study was conducted in the savanna ecosystem of Sathyamangalam Tiger Reserve (STR), Western Ghats, to understand the long-term response of trees to fire frequency. A fire frequency map of the savanna spanning 33 years (from 1990 to 2022) was generated from Landsat satellite imagery. As per fire frequency, the composite map was stratified into fifteen different fire frequency classes (F0-F14). Furthermore, stratified random sampling was done to examine tree parameters. Parameters such as tree density, diversity, species richness, and basal area exhibited significant differences across fire frequency groups. Conversely, tree above-ground biomass and carbon stock showed non-significant changes concerning fire frequency. Species composition, visualized through non-metric multidimensional scaling, revealed two distinct clusters between unburned and high-fire frequency groups. Additionally, fire frequency significantly impacted the regeneration process, with the highest proportion of species in the moderate fire frequency group exhibiting good and fair regeneration, compared to the lowest proportion in the unburned group. The exhibited structural and compositional changes in tree communities in the savanna ecosystem of STR underscored the impacts of fire frequency on biodiversity conservation and call for holistic management of forest fires.

热带稀树草原的特点是稳定和依赖火的生物群系，其中反复发生的火是一个突出的特征。火灾频率是影响热带稀树草原火情的重要参数之一。在亚洲，稀树草原经常被错误地分类为衍生森林或退化森林，印度也不例外。由于稀树草原分布不均匀，长期以来对植被类型的混淆，对稀树草原火灾发生的生态和组成方面的科学研究很少。了解与火灾频率有关的树木群落动态具有巨大的潜力，特别是在印度的背景下。本研究在西高止山脉的Sathyamangalam老虎保护区（STR）的稀树草原生态系统中进行，以了解树木对火灾频率的长期响应。根据Landsat卫星图像生成了33年（1990年至2022年）的稀树草原火灾频率图。根据火灾频率，将合成图划分为15个不同的火灾频率等级（F0-F14）。此外，分层随机抽样检查树的参数。树木密度、多样性、物种丰富度、基底面积等参数在不同火灾频率组间存在显著差异。相反，树木地上生物量和碳储量随火灾频率的变化不显著。通过非度量多维尺度可视化的物种组成显示，在未燃烧和高火灾频率组之间存在两个不同的集群。此外，火灾频率显著影响再生过程，中等火灾频率组中表现出良好和公平再生的物种比例最高，而未燃烧组的比例最低。研究结果表明，森林火灾发生频率对生物多样性的保护具有重要影响，需要对森林火灾进行综合治理。

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引用次数: 0

Upcycling end-of-life high-density polyethylene shampoo bottles and jute caddies into multilayer composite panels for sound insulation and multifunctional applications 将废弃的高密度聚乙烯洗发瓶和黄麻球童升级为多层复合板，用于隔音和多功能应用

Next Sustainability

Pub Date : 2025-12-12 DOI: 10.1016/j.nxsust.2025.100230

Jonty Mago , Sunali , Ashutosh Negi , Shahab Fatima

With the increasing need for sustainable solutions to tackle both environmental waste and urban noise pollution, acoustic materials made from recycled resources have gained notable attention. In this study, multilayer composite panels were fabricated using recycled high-density polyethylene (RHDPE) from end-of-life shampoo bottles and waste jute fibers (WJF) from jute caddies. Four configurations: M0 (RHDPE only), M1 (one WJF interlayer), M2 (two WJF interlayers), and M3 (three WJF interlayers) were fabricated via compression molding and characterized for physicochemical, thermal, mechanical, vibrational, and acoustic properties. The fabricated multilayer composites demonstrated enhanced mechanical properties, with maximum tensile strength, flexural strength, Shore hardness, and impact strength in the M3 configuration. Water absorption increased from 2.2 % in the M0 configuration to 17.7 % in the M3 configuration over 52 weeks, while the RHDPE surface exhibited hydrophobic and oleophilic behavior with contact angles of 89.3° (DI water) and 13.1° (diesel), respectively. Thermogravimetric analysis revealed high degradation resistance, with a two-step degradation and maximum thermal stability retained up to approximately 495 °C; additionally, thermal conductivity decreased from 0.309 W.m⁻¹.K⁻¹ (M0 configuration) to 0.247 W.m⁻¹.K⁻¹ (M3 configuration), indicating improved thermal insulation. Vibration-damping tests showed damping ratios of up to 2.52 % (M2, Mode 1), validating enhanced vibrational energy dissipation with WJF interlayers. Acoustic characterization confirmed that the M3 configuration achieved an average sound transmission loss of 30.25 dB under normal incidence, comparable to commercial materials, such as polycarbonate (32.73 dB) and polymethyl methacrylate (PMMA) (32.58 dB), though not too mild steel (49.04 dB) due to its much higher surface density. The fabricated panels hold strong potential for implementation in infrastructure and transport-related applications such as highway noise barriers, generator enclosures, and office partitions, offering a sustainable alternative with demonstrated multifunctionality.

随着解决环境垃圾和城市噪音污染的可持续解决方案的需求日益增加，由回收资源制成的声学材料受到了极大的关注。在这项研究中，多层复合材料板是由回收的高密度聚乙烯（RHDPE）废旧洗发水瓶和废黄麻纤维（WJF）从黄麻球袋。四种结构：M0（仅RHDPE）， M1（一个WJF中间层），M2（两个WJF中间层）和M3（三个WJF中间层）通过压缩成型制备，并对物理化学，热，机械，振动和声学特性进行了表征。制备的多层复合材料表现出增强的机械性能，在M3配置下具有最大的拉伸强度，弯曲强度，邵氏硬度和冲击强度。在52周的时间里，RHDPE的吸水率从M0组的2.2 %增加到M3组的17.7 %，而RHDPE表面表现出疏水和亲油行为，接触角分别为89.3°（DI水）和13.1°（柴油）。热重分析表明，该材料具有高的抗降解性，具有两步降解和最大热稳定性，可保持在约495°C；导热系数从0.309 W.m−1降低。K−1 （M0配置）~ 0.247 W.m−1。K−1 （M3配置），表示保温性能提高。振动阻尼试验表明，阻尼比高达2.52 % (M2，模态1)，验证了WJF夹层增强的振动能量耗散。声学特性证实，在正常入射下，M3结构的平均声透射损失为30.25 dB，与聚碳酸酯（32.73 dB）和聚甲基丙烯酸甲酯（PMMA）（32.58 dB）等商业材料相当，但由于其表面密度高得多，因此不太低碳钢（49.04 dB）。制造的面板在基础设施和交通相关应用中具有强大的应用潜力，例如高速公路隔音屏障，发电机外壳和办公室隔板，提供了一种具有多功能的可持续替代方案。

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引用次数: 0

Corrigendum to “A QSTR framework for terrestrial oral acute toxicity prediction: A machine learning approach motivated by the search for sustainable chemical alternatives” [Next Sustain., vol. 6, (2025), 100221] “陆地口服急性毒性预测的QSTR框架：一种由寻找可持续化学替代品驱动的机器学习方法”的勘误表。，第6卷，（2025），100221]

Next Sustainability

Pub Date : 2025-12-11 DOI: 10.1016/j.nxsust.2025.100234

Ziad Merghad , Anaële Lefeuvre , Johan Merzouki , Serge Maison

引用次数: 0

Exploring lead biosorption via Lactobacillus-based exopolysaccharides and biofilms: A structural and functional study 探索以乳酸杆菌为基础的胞外多糖和生物膜对铅的生物吸附：结构和功能研究

Next Sustainability

Pub Date : 2025-12-08 DOI: 10.1016/j.nxsust.2025.100226

Anchal Singh, Sneha Roy, Pinki Saini

Toxic heavy metals such as lead (Pb) persistently accumulate in ecosystems as a result of unregulated anthropogenic activities, posing significant threats to both environmental and human health. The widespread occurrence of Pb contamination underscores the urgent need for efficient remediation strategies. This study aims to optimize the biosorption of lead [Pb(II)] using biofilms and exopolysaccharides (EPS) synthesized by Lactiplantibacillus plantarum, Limosilactobacillus reuteri, and Lactiplantibacillus sp. strain ANPSCRLB. The strains were examined for their minimum inhibitory concentration and Pb(II) biosorption efficiency across concentrations ranging from 100 to 350 mg/L. Among the tested strains, the biofilm of Lactiplantibacillus sp. ANPSCRLB demonstrated the highest lead biosorption capacity (2.95 ± 0.01 mg/L), followed by L. plantarum (2.89 ± 0.09 mg/L) and L. reuteri (2.61 ± 0.01 mg/L) at pH 4 and 37 °C. Biosorption increased progressively from 6 h to 24 h for both EPS and biofilm samples, reaching a maximum at 24 h, with Pb(II) removal efficiencies ranging from 81.6 % to 95.6 % for biofilms and 85.3–96.3 % for EPS matrices. FTIR analysis indicated shifts in EPS peaks from 3293 cm⁻¹ to 2923 cm⁻¹ after Pb(II) biosorption, suggesting the involvement of O–H, C–H, and N–H functional groups associated with proteins and polysaccharides in metal binding. SEM micrographs revealed that both EPS and biofilm exhibited heterogeneous, porous surface structures with large folds, while structural analysis confirmed dense cell clusters embedded within EPS, forming robust biofilm-like networks with numerous active binding sites. The study demonstrates the potential of LAB-derived biofilms and EPS as sustainable and efficient biosorbents for the removal of heavy metals from aqueous environments.

由于不受管制的人为活动，铅（Pb）等有毒重金属在生态系统中持续积累，对环境和人类健康构成重大威胁。铅污染的广泛发生，迫切需要有效的修复策略。本研究旨在利用植物乳杆菌（Lactiplantibacillus plantarum）、罗伊氏乳杆菌（Limosilactobacillus reuteri）和乳杆菌（Lactiplantibacillus sp.）菌株ANPSCRLB合成的生物膜和胞外多糖（EPS）对铅（Pb(II)）的生物吸附进行优化。在100 ~ 350 mg/L的浓度范围内检测菌株的最低抑制浓度和Pb（II）的生物吸附效率。测试菌株中,Lactiplantibacillus sp的生物膜。ANPSCRLB证明铅吸附重金属能力最高(2.95 ±0.01  mg / L),紧随其后的是L .杆菌(2.89 ±0.09  mg / L),这种L .(2.61 ±0.01  mg / L) 4 pH值和37°C。EPS和生物膜样品的生物吸附从6 h逐渐增加到24 h，在24 h时达到最大值，生物膜的Pb（II）去除率为81.6 % ~ 95.6% %，EPS基质的Pb（II）去除率为85.3 ~ 96.3% %。FTIR分析表明，在Pb（II）生物吸附后，EPS峰从3293 cm⁻¹ 转移到2923 cm⁻¹ ，这表明与蛋白质和多糖相关的O-H、C-H和N-H官能团参与了金属结合。SEM显微照片显示，EPS和生物膜都表现出不均匀的多孔表面结构，具有大的褶皱，而结构分析证实了密集的细胞团嵌入EPS中，形成具有许多活性结合位点的坚固的生物膜样网络。该研究证明了实验室衍生的生物膜和EPS作为去除水环境中重金属的可持续和有效的生物吸附剂的潜力。

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引用次数: 0

A unified forecasting model for solar irradiation and wind speed using ground-based data 基于地面资料的太阳辐射和风速统一预报模式

Next Sustainability

Pub Date : 2025-12-04 DOI: 10.1016/j.nxsust.2025.100225

Arisa Masuda , Hana Hebishima , Shin-ichi Inage

The objective of this study is to realize short-term forecasting of time-varying solar irradiation and wind speed through a unified neural-network-based algorithm. In previous work, a neural-network forecasting model for solar irradiation—benchmarked against the Smart Persistence Model based on the Clear Sky Index (CSI)—demonstrated stable and accurate performance. In the present study, this framework was extended to wind speed forecasting by introducing a new indicator, the Average Index (AI), which plays an analogous role to CSI. Solar forecasting was applied to the Kyushu region, while wind forecasting was conducted for Okinawa and Iwate Prefectures, where high wind-power potential exists. Using meteorological data from the Japan Meteorological Agency, the proposed method achieved high accuracy and demonstrated strong agreement with the Smart Persistence Model. The integration of AI into the neural-network system enabled reliable short-term forecasting of wind speed, confirming that solar irradiation and wind speed can both be predicted within a single, unified algorithm. This framework provides a robust foundation for multi-source renewable-energy forecasting and intelligent grid management.

本研究的目的是通过统一的基于神经网络的算法实现时变太阳辐射和风速的短期预报。在之前的工作中，一个太阳辐射的神经网络预测模型——以基于晴空指数（CSI）的智能持续模型为基准——表现出稳定和准确的性能。在本研究中，通过引入一个新的指标——平均指数（AI），将这一框架扩展到风速预测中，该指标的作用类似于CSI。九州地区应用了太阳预报，而冲绳县和岩手县进行了风力预报，这两个地区风力发电潜力很大。利用日本气象厅的气象数据，该方法获得了较高的精度，与智能持续模型具有较强的一致性。将人工智能集成到神经网络系统中，可以对风速进行可靠的短期预测，确认太阳辐射和风速都可以在一个统一的算法中进行预测。该框架为多源可再生能源预测和智能电网管理提供了坚实的基础。

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引用次数: 0

Future of battery thermal management systems (BTMS): Role of advanced technologies, artificial intelligence and sustainability 电池热管理系统（BTMS）的未来：先进技术、人工智能和可持续性的作用

Next Sustainability

Pub Date : 2025-01-01 DOI: 10.1016/j.nxsust.2025.100114

Moinuddin Mohammed Quazi , Farzad Jaliliantabar , Sudhakar Kumarasamy , Mohammadamin Ezazi

The research in battery thermal management systems (BTMS) eventually transforms from well-established conventional techniques through hybrid approaches towards smart and innovative changeover. This is only plausible thanks to researchers' imminent focus towards including artificial intelligence (AI), smart materials, and sustainable approaches in BTMS. This article provides a current understanding of AI models, approaches, and techniques employed to predict the battery's state, failure conditions, high-stress scenarios and thermal behaviour, including maximum and minimum temperatures. The pros and cons of various AI technology and methods are examined. This is followed by a detailed review of emerging advanced technologies such as additive manufacturing to develop customized cooling channels, optimized structures, bioinspired BTMS to improve thermal behaviours, and smart materials for all weather, both heating and cooling solutions. The mist-based cooling system for hazard mitigation is another emerging area for thermal runaway prevention that is reviewed. Lastly, the role of sustainability in technological, socioeconomic, environmental, and cost-effective measures is also discussed. Finally, the potential directions and key points for the future development of battery thermal management systems for a wide range of operation conditions that prevent thermal runaway and safety mitigation systems are also proposed.

电池热管理系统（BTMS）的研究最终将从成熟的传统技术转变为智能和创新的混合方法。由于研究人员即将关注将人工智能（AI）、智能材料和可持续方法纳入BTMS，这才有可能实现。本文提供了用于预测电池状态、故障条件、高应力场景和热行为（包括最高和最低温度）的人工智能模型、方法和技术的最新理解。研究了各种人工智能技术和方法的优缺点。随后详细回顾了新兴的先进技术，如用于开发定制冷却通道的增材制造、优化结构、改善热行为的生物启发BTMS，以及用于全天候加热和冷却解决方案的智能材料。雾基冷却系统的危害缓解是另一个新兴的领域，热失控的预防进行了审查。最后，还讨论了可持续性在技术、社会经济、环境和成本效益措施中的作用。最后，提出了防止热失控和安全缓解系统的大范围运行条件下电池热管理系统未来发展的潜在方向和关键点。

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引用次数: 0

Continuous electrocoagulation treatment of chromium from tannery wastewater in a cylindrical column 连续电凝法处理制革废水中的铬

Next Sustainability

Pub Date : 2025-01-01 DOI: 10.1016/j.nxsust.2025.100113

Nahid M. Genawi , Nafis Mahmud , Elfatih A. Hassan , Muftah H. El-Naas

Discharging tannery wastewater into the water resources can lead to several environmental implications due to its high chromium and pollutants content, adversely affecting both aquatic and human life. Consequently, researchers are focusing on the development of efficient treatment methods for post-tanning effluents with the target of removing chromium to alleviate this pollution problem. In this regard, electrocoagulation has emerged as a leading technology for chromium removal from tannery wastewater. In this study, a continuous electrocoagulation column was applied for the removal of chromium ions from tannery wastewater collected from local industry. The effect of current density, pH, and effluent chromium concentration were studied for the removal of chromium ions. The results showed that a maximum chromium removal (99.94 %) was achieved within one hour in batch mode at current density, pH, and effluent concentration of 10 mA/cm², 6.5, and 500 mg/L, respectively. The continuous electrocoagulation system was used to evaluate the process dynamics and steady-state stability of the reactor system by introducing step changes in operating conditions (flow rate, pH, current density, and concentration). The experiments of the continuous electrocoagulation reactor system were conducted at a flow rate of 50 ml/min (HRT = 34 min) with the results promise effective removal of chromium ions from tannery wastewater using the electrocoagulation system.

将制革厂废水排放到水资源中，由于其高铬和污染物含量，可能导致若干环境影响，对水生生物和人类生活产生不利影响。因此，研究人员正致力于开发有效的鞣制后废水处理方法，以去除铬为目标，缓解这一污染问题。在这方面，电絮凝已经成为从制革废水中去除铬的领先技术。在本研究中，采用连续电絮凝柱去除当地工业制革废水中的铬离子。研究了电流密度、pH、出水铬浓度对铬离子去除率的影响。结果表明，在电流密度、pH和出水浓度分别为10 mA/cm2、6.5和500 mg/L的条件下，批处理模式下，1小时内铬的最大去除率为99.94 %。采用连续电混凝系统，通过引入操作条件（流量、pH、电流密度和浓度）的阶跃变化来评估反应器系统的过程动力学和稳态稳定性。以50 ml/min （HRT = 34 min）为流速，对连续电絮凝反应器系统进行了实验，结果表明电絮凝系统对制革废水中的铬离子有较好的去除效果。

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