Process Safety and Environmental Protection最新文献_第8页

Real-time gas dispersion model prediction on offshore platforms based on CNN_Transformer model 基于CNN_Transformer模型的海上平台天然气分散模型实时预测

IF 7.8 2区环境科学与生态学 Q1 ENGINEERING, CHEMICAL

Process Safety and Environmental Protection

Pub Date : 2026-03-15 Epub Date: 2025-10-09 DOI: 10.1016/j.psep.2025.107983

Haosen Li , Lin Hao , Zhenxing Zhu , Wei Xu , Junjie Feng , Hongyuan Wei

Recent advances in artificial intelligence and deep learning have spurred a paradigm shift in gas dispersion modeling, transitioning from traditional methods such as Frozen Cloud Analysis and Response Surface Methodology to machine learning and deep learning-based approaches. The existing Bayesian Regularization Artificial Neural Network gas dispersion prediction model is more accurate than traditional models, but is limited to single gas scenarios and static predictions. This study integrates a new Convolutional Neural Network combined with Transformer model by combining CNN extraction with Transformer attention to predict gas dispersion from offshore platforms using a dataset generated from Flame Acceleration Simulator simulations. Unlike earlier models, the CNN_Transformer model captures the entire dynamic process of gas dispersion by predicting temporal variations in dispersion and managing multiple gas components—including methane, ethane, propane, and gas mixtures—while considering critical environmental factors such as wind speed, wind direction, and internal pressure. Through comparative analysis of BRANN, CNN and CNN_Transformer, the CNN_Transformer model achieved a higher prediction accuracy, and the error between the predicted value and the FLACS simulation data was within 30 %. Moreover, while FLACS simulations—used as a benchmark—typically require hours to compute, the CNN_Transformer model delivers predictions in seconds, making it a promising tool for real-time explosion risk assessment and intelligent platform deployment.

人工智能和深度学习的最新进展刺激了气体分散建模的范式转变，从传统的方法（如冻结云分析和响应面方法）过渡到基于机器学习和深度学习的方法。现有的贝叶斯正则化人工神经网络气体分散预测模型比传统模型更准确，但仅限于单一气体场景和静态预测。该研究将一种新的卷积神经网络与Transformer模型相结合，将CNN提取与Transformer注意力相结合，使用火焰加速模拟器模拟生成的数据集预测海上平台的气体分散。与早期的模型不同，CNN_Transformer模型通过预测分散的时间变化和管理多种气体成分（包括甲烷、乙烷、丙烷和气体混合物）来捕捉气体分散的整个动态过程，同时考虑风速、风向和内部压力等关键环境因素。通过对BRANN、CNN和CNN_Transformer模型的对比分析，CNN_Transformer模型具有较高的预测精度，预测值与FLACS仿真数据的误差在30 %以内。此外，FLACS模拟（用作基准）通常需要数小时的计算时间，而CNN_Transformer模型在几秒钟内提供预测，使其成为实时爆炸风险评估和智能平台部署的有前途的工具。

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引用次数: 0

Metabolic basis and ecological stability of bioaugmented AO-MBR treating low-temperature toilet wastewater: Linking functional genes, pathway efficiency, and microbial dynamics 生物增强AO-MBR处理低温厕所废水的代谢基础和生态稳定性：连接功能基因、途径效率和微生物动力学

IF 7.8 2区环境科学与生态学 Q1 ENGINEERING, CHEMICAL

Process Safety and Environmental Protection

Pub Date : 2026-03-15 Epub Date: 2026-02-13 DOI: 10.1016/j.psep.2026.108595

LIU Fuyao , QIU Fuguo , TIAN Hongyu , LIU Jianwei

This study addressed the issue of performance degradation in toilet wastewater treatment systems under low-temperature conditions by constructing a bio-enhanced anaerobic-aerobic membrane bioreactor (AO-MBR) system.Through inoculation of low-temperature-adapted microbial communities, the system's treatment performance, sludge characteristics, and microbial community response mechanisms were systematically evaluated under gradient temperature reduction (16℃→8℃). The bioaugmented reactor (S1) achieved COD, NH₄⁺ -N, and TN removal efficiencies of 85.5 %, 87.6 %, and 67.8 %, respectively, which were higher than those of the control reactor (S2: 76.6 %, 75.1 %, and 54.8 %). Low-temperature microbial enhancement effectively improved sludge settleability, reduced the sludge volume index (SVI), and enhanced system resilience to low-temperature loads by promoting the secretion of proteins and polysaccharides in extracellular polymeric substances (EPS). Microbial community analysis revealed enrichment of cold-tolerant functional genera such as Acinetobacter and Flavobacterium in S1. Metabolic function prediction indicated significantly increased abundances of genes related to carbohydrate metabolism, nitrogen metabolism, and stress response. These findings elucidate the synergistic metabolic mechanisms and ecological stability of the bioaugmented AO-MBR system. The results provide theoretical and practical support for the engineering application of microbial enhancement technology in low-temperature toilet wastewater treatment.

本研究通过构建生物增强型厌氧-好氧膜生物反应器（AO-MBR）系统，解决了低温条件下厕所污水处理系统性能下降的问题。通过接种低温适应微生物群落，系统评价了梯度降温（16℃→8℃）条件下该系统的处理性能、污泥特性及微生物群落响应机制。生物增强反应器（S1）对COD、NH4+ -N和TN的去除率分别为85.5 %、87.6% %和67.8% %，高于对照反应器（S2: 76.6% %、75.1% %和54.8% %）。低温微生物强化通过促进细胞外聚合物质（EPS）中蛋白质和多糖的分泌，有效改善污泥沉降性，降低污泥体积指数（SVI），增强系统对低温负荷的恢复能力。微生物群落分析显示S1中富集了耐冷功能属如不动杆菌和黄杆菌。代谢功能预测显示，与碳水化合物代谢、氮代谢和应激反应相关的基因丰度显著增加。这些发现阐明了生物增强型AO-MBR系统的协同代谢机制和生态稳定性。研究结果为微生物强化技术在低温厕所污水处理中的工程应用提供了理论和实践支持。

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引用次数: 0

Dissolution-complexation of steel slag containing alcoholic amine compounds and its hydration properties in composite cement 含醇胺钢渣在复合水泥中的溶解络合及其水化性能

IF 7.8 2区环境科学与生态学 Q1 ENGINEERING, CHEMICAL

Process Safety and Environmental Protection

Pub Date : 2026-03-15 Epub Date: 2026-02-12 DOI: 10.1016/j.psep.2026.108576

Jihui Zhao , Jie Liu , Hongjin Zhong , Lu Luo , Huali He , Haijiao Xie

Steel slag (SS), a major solid waste from the iron and steel industry, possesses a chemical composition similar to Portland cement and exhibits latent hydraulic activity. This study investigated the effects of triethanolamine (TEA) and triisopropanolamine (TIPA), used as complexing agents, on SS dissolution and the performance of SS-cement based materials in a simulated cement pore solution (Ca(OH)₂ and 0.2 mol/L NaOH). Results demonstrated that a) TEA exhibited stronger complexation capabilities towards Ca^2 + and Fe³⁺, b) TIPA accelerated the precipitation of hydration products, notably promoting the formation of ettringite. The fundamental difference in Ca²⁺ complexation ability between TEA and TIPA stems from the influence of their spatial configurations. In the SS-cement system, both complexing agents significantly enhanced the early-age mechanical properties. However, TIPA had a more pronounced effect on later-age strength development. This was attributed to the unique effects by TIPA in improving and optimizing SS-PC pastes pore structure. Furthermore, both agents not only promoted the hydration of mineral phases within both the SS and cement but also facilitated the pozzolanic reaction between the amorphous phase of SS and CH.

钢渣（SS）是钢铁工业的主要固体废物，具有与硅酸盐水泥相似的化学成分，并表现出潜在的水力活性。研究了在模拟水泥孔溶液（Ca(OH)2和0.2mol/L NaOH）中，三乙醇胺（TEA）和三异丙醇胺（TIPA）作为络合剂对SS溶解和SS-水泥基材料性能的影响。结果表明：a) TEA对Ca2+和Fe3+具有较强的络合能力；b) TIPA加速了水化产物的沉淀，显著促进了钙矾石的形成。TEA和TIPA在Ca2+络合能力上的根本差异源于它们的空间构型的影响。在ss -水泥体系中，两种络合剂均显著提高了早期力学性能。然而，TIPA对后期力量发展的影响更为明显。这是由于TIPA在改善和优化SS-PC膏体孔隙结构方面具有独特的效果。此外，这两种药剂不仅促进了SS和水泥内部矿物相的水化，而且促进了SS与CH的非晶相之间的火山灰反应。

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引用次数: 0

Tensor network-driven pathway optimization for brewery waste recycling: A multi-scale decision framework towards carbon neutrality 张量网络驱动的啤酒废物回收途径优化：迈向碳中和的多尺度决策框架

IF 7.8 2区环境科学与生态学 Q1 ENGINEERING, CHEMICAL

Process Safety and Environmental Protection

Pub Date : 2026-03-15 Epub Date: 2026-02-12 DOI: 10.1016/j.psep.2026.108599

Zhengbo Li , Dingtao Peng

The brewing industry annually generates 38.6 million tons of solid waste, with 85 % comprising brewery residues, creating significant sustainability challenges. Under pressure to achieve carbon neutrality, wastewater treatment facilities must enhance efficiency while operating with low carbon emissions. Traditional optimization methods cannot effectively handle the high-dimensional nonlinear problems involving 32 coupled variables across multiple scales in brewery wastewater systems. This study proposes a tensor network-driven framework that decomposes the 32-dimensional decision space into six factor matrices with 5–6 dimensions each, enabling parallel computation and multiscale optimization at molecular, process, and system levels. Six-month industrial validation at a 200,000-ton/year brewery demonstrated substantial improvements: energy consumption decreased from 0.90 to 0.56 kWh/m³ (37.8 % reduction), COD removal increased from 85.2 % to 94.6 %, and carbon emissions dropped from 0.65 to 0.13 kg CO₂-eq/m³ (80 % reduction). Economic analysis revealed a 14-month payback period and $2.62 million five-year NPV. The quantum-inspired approach provides a replicable solution for intelligent transformation and carbon-neutral transition in wastewater treatment, advancing circular economy implementation in the brewing sector.

酿酒业每年产生3860万吨固体废物，其中85% 为啤酒残留物，这对可持续发展构成了重大挑战。在实现碳中和的压力下，污水处理设施必须在低碳排放的同时提高效率。传统的优化方法不能有效地处理啤酒废水系统中涉及32个耦合变量的多尺度高维非线性问题。本研究提出了一个张量网络驱动的框架，该框架将32维决策空间分解为6个因子矩阵，每个因子矩阵有5-6个维度，可以在分子、过程和系统层面进行并行计算和多尺度优化。在一家年产20万吨的啤酒厂进行的为期6个月的工业验证显示出了实质性的改善：能耗从0.90千瓦时/立方米下降到0.56千瓦时/立方米（减少37.8% %），COD去除率从85.2% %增加到94.6 %，碳排放量从0.65 kg co2当量/立方米下降到0.13 kg co2当量/立方米（减少80% %）。经济分析显示，投资回收期为14个月，5年净现值为262万美元。量子启发的方法为废水处理的智能转换和碳中和过渡提供了可复制的解决方案，推动了酿造行业循环经济的实施。

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引用次数: 0

Treatment of shale gas fracturing flowback fluid using a novel multistage flocculation reactor: Energy-matching mechanism and field validation 新型多级絮凝反应器处理页岩气压裂返排液：能量匹配机制及现场验证

IF 7.8 2区环境科学与生态学 Q1 ENGINEERING, CHEMICAL

Process Safety and Environmental Protection

Pub Date : 2026-03-15 Epub Date: 2026-02-14 DOI: 10.1016/j.psep.2026.108620

Xing Liang , Can Cui , Lulu Xu , Yumin Mu , Gang Jin , Chang Liu , Liang Li , Haijun Zhang , Xiaobing Li

Flocculation is widely used for wastewater treatment, and reactor hydrodynamics strongly influence floc growth. Here, a multistage enhanced flocculation reactor (MFR) was developed for shale gas flowback fluid and evaluated by simulation, laboratory experiments, and field trials. The MFR integrates sequential high-, medium-, and low-intensity zones to provide staged energy dissipation along the flow path. At an inlet velocity of 0.49 m/s, the high-intensity zone, with compact spatial scales and turbulent kinetic energy (TKE) of 7.78 × 10⁻⁴ m²/s², promotes rapid mixing of flocculants with pollutants, forming 0.31 mm initial flocs. The medium-intensity zone, with expanded spatial scales and reduced TKE (8.31 × 10⁻⁵ m²/s²), facilitates floc aggregation to 0.56 mm. In the low-intensity zone, the largest scale and minimal TKE (9.74 × 10⁻⁶ m²/s²) favor floc protection and densification, yielding 0.92 mm flocs. This energy-matched transition promotes rapid mixing upstream while reducing floc breakage downstream, with low energy dissipation. Laboratory tests achieve 87.86 % COD and 90.21 % turbidity removal. Field trials under variable influent confirm robustness, with 91.6 % oil, 98.8 % COD, and 91.6 % TSS removal. Overall, the MFR provides an operationally robust and energy-efficient solution for flowback fluid treatment and offers guidance for designing flocculation reactors.

絮凝在污水处理中应用广泛，反应器流体动力学对絮凝体的生长有很大影响。本文针对页岩气返排液开发了多级强化絮凝反应器（MFR），并通过模拟、实验室实验和现场试验对其进行了评价。MFR集成了顺序的高、中、低强度区域，以提供沿流道的分级能量耗散。在入口速度为0.49 m/s时，高强度区空间尺度紧凑，湍流动能（TKE）为7.78 × 10−4 m2/s2，促进絮凝剂与污染物快速混合，形成0.31 mm的初始絮凝体。中等强度区扩大了空间尺度，减小了TKE(8.31 × 10−5 m2/s2)，有利于絮凝体聚集至0.56 mm。在低强度区，最大规模和最小TKE（9.74 × 10−6 m2/s2）有利于絮凝体的保护和致密化，产生0.92 mm絮凝体。这种能量匹配的转变促进了上游的快速混合，同时减少了下游的絮体破碎，能量耗散低。实验室测试COD去除率达到87.86 %，浊度去除率达到90.21 %。在可变进水条件下的现场试验证实了稳健性，油去除率为91.6 %，COD去除率为98.8 %，TSS去除率为91.6 %。总的来说，MFR为反排流体处理提供了一种稳定、节能的解决方案，并为絮凝反应器的设计提供了指导。

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引用次数: 0

Machine learning optimization of Cr(VI) bioreduction using novel strain CR9 immobilized on compost-derived humic acid gel microspheres 固定化新型菌种CR9在腐植酸凝胶微球上生物还原Cr（VI）的机器学习优化

IF 7.8 2区环境科学与生态学 Q1 ENGINEERING, CHEMICAL

Process Safety and Environmental Protection

Pub Date : 2026-03-15 Epub Date: 2026-02-14 DOI: 10.1016/j.psep.2026.108605

Minghui Wu, Han Zhang, Zhiyan Yin, Wenjian Li, Zhengyong Pan, Yi Chen, Ruotong Zhang, Zhongping Qiu

Microbial reduction of toxic hexavalent chromium (Cr(VI)) to stable trivalent chromium (Cr(III)) offers a sustainable remediation approach, yet synergistic integration of compost-derived humic acid (cHA) with immobilization of Cr(VI)-reducing bacteria remains underexplored. Herein, a novel strain Bacillus sp. CR9 was isolated from Cr(VI)-contaminated soil, demonstrating robust growth and Cr(VI) reduction across broad conditions: pH 6–9, 25–40℃, 50–200 mg L⁻¹ Cr(VI), 0–2 % salinity, and 1–6 % inoculum. Under optimized conditions (pH 7, 37℃, 1 % salinity, 5 % inoculum), it achieved complete reduction of 120 mg L⁻¹ Cr(VI) within 48 h. Multi-characterization combined with subcellular localization revealed extracellular enzymatic reduction as the dominant mechanism, forming amorphous Cr(OH)₃, with minor contributions from intra/extracellular biosorption and bioaccumulation. Additionally, cHA immobilized CR9-cHA-SA biomicrospheres removed 60.04 % of 220 mg·L⁻¹ Cr(VI) in 48 h, outperforming free cells and soil-derived HA immobilized biocomposites by 14.07 % and 12.66 %, respectively. Machine learning optimization via ANN-JADE identified the optimal formulations (15 mL suspension, 3.19 % cHA, 1.99 % SA), achieving a predicted Cr(VI) removal efficiency of 73.02 %. Experimental validation yielded 71.99 % removal, confirming model accuracy. Cyclic assays demonstrated O-CR9-cHA-SA’s operational stability for 18 d, surpassing non-optimized CR9-cHA-SA through enhanced structural stability and electron transfer. These findings highlight machine learning-guided cHA-SA co-immobilization as a promising strategy for in situ Cr(VI) remediation.

微生物将有毒六价铬（Cr(VI)）还原为稳定的三价铬（Cr(III)）提供了一种可持续的修复方法，但堆肥衍生腐植酸（cHA）与Cr（VI）还原细菌固定化的协同整合仍未得到充分探索。本文从Cr（VI）污染的土壤中分离出一株新的芽孢杆菌CR9，在pH 6-9、25-40℃、50-200mg -1 Cr（VI）、0-2%盐度和1-6%接种量等条件下均表现出强劲的生长和Cr（VI）还原能力。在优化条件（pH 7、37℃、1%盐度、5%接种量）下，48h内可完全还原120mg -1 Cr（VI）。结合亚细胞定位的多重表征表明，胞外酶还原是主要机制，形成无定形的Cr（OH）₃，胞内/胞外生物吸附和生物积累作用较小。此外，cHA固定化的CR9-cHA-SA生物微球在48h内对220mg·L-1 Cr（VI）的去除率为60.04%，比游离细胞和土壤来源的HA固定化生物复合材料的去除率分别高出14.07%和12.66%。通过ANN-JADE进行机器学习优化，确定了最佳混悬液配方（15mL, cHA 3.19%, SA 1.99%），预测Cr（VI）去除率为73.02%。实验验证的去除率为71.99%，证实了模型的准确性。循环实验表明，O-CR9-cHA-SA的运行稳定性为18 d，通过增强结构稳定性和电子转移，优于未优化的CR9-cHA-SA。这些发现强调了机器学习引导的cHA-SA共固定作为原位Cr（VI）修复的有前途的策略。

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引用次数: 0

The overlooked role of nitrate in mediating electron transfer and enhancing reactive species generation in TiO2 photocatalytic water remediation 在TiO2光催化水修复中，硝酸盐介导电子转移和促进活性物质生成的作用被忽视

IF 7.8 2区环境科学与生态学 Q1 ENGINEERING, CHEMICAL

Process Safety and Environmental Protection

Pub Date : 2026-03-15 Epub Date: 2026-02-19 DOI: 10.1016/j.psep.2026.108631

Zheng Hu , Jin Wu , Lingzhi Shen , Zili Lin , Zihong Xu , Zhenjun Xiao , Zheng Fang , Daguang Li , Ping Chen , Wenying Lv , Guoguang Liu

Despite the widespread use of titanium dioxide (TiO₂) in water remediation, the influence of ubiquitous anions like nitrate (NO₃⁻) on its photocatalytic efficiency remains underexplored. In investigating the photocatalytic degradation of naproxen (NPX) with TiO₂, we observed a marked enhancement in performance under simulated sunlight, which is attributed to a synergistic effect induced by NO₃⁻. This enhancement is arises from the key mechanism that photochemical transformation of NO₃⁻ enhanced electron migration in the TiO₂ conduction band, and it increased the steady-state concentrations of critical reactive species, including hydroxyl radical (OH^•), superoxide radical (O₂^•−), and singlet oxygen (¹O₂). The presence of common water constituents like Cu²⁺, Fe³⁺, HCO₃⁻, and acid conditions further accelerated NPX removal in this coupled system, demonstrating that the NO₃⁻-mediated TiO₂ process can derive broader synergistic mechanisms for enhanced water remediation. While the formation of nitrated and aldehydic intermediates led to a temporary increase in toxicity, prolonged irradiation effectively mineralized these products and mitigated the ecological risk. This work provides new insights into the environmental implications of applying TiO₂ photocatalysis in nitrate-containing waters, highlighting its potential and challenges for real-world remediation.

尽管二氧化钛（TiO2）在水修复中得到了广泛的应用，但硝酸盐（NO3−）等阴离子对其光催化效率的影响仍未得到充分的研究。在研究TiO2光催化降解萘普生（NPX）的过程中，我们发现NO3−诱导的协同效应显著增强了NPX在模拟阳光下的性能。这种增强的关键机制是NO3−光化学转化增强了TiO2导带中的电子迁移，增加了关键活性物质的稳态浓度，包括羟基自由基（OH•）、超氧自由基（O2•−）和单线态氧（1O2）。在该耦合体系中，常见的水组分如Cu2+、Fe3+、HCO3−和酸性条件的存在进一步加速了NPX的去除，表明NO3−介导的TiO2过程可以获得更广泛的协同机制来增强水修复。虽然硝化和醛类中间体的形成导致毒性暂时增加，但长期照射有效地使这些产物矿化并减轻了生态风险。这项工作为在含硝酸盐的水中应用TiO2光催化对环境的影响提供了新的见解，突出了其在现实世界中修复的潜力和挑战。

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引用次数: 0

Unraveling the anticorrosion, antimicrobial performance and advanced monitoring of 4-hydroxy-3-methoxyphenyl)acryloyl derivatives: 3A triple armour strategy through experimental and theoretical synchronization 通过实验和理论同步，揭示4-羟基-3-甲氧基苯基)丙烯酰衍生物的防腐、抗菌性能和先进监测：3A三甲策略

IF 7.8 2区环境科学与生态学 Q1 ENGINEERING, CHEMICAL

Process Safety and Environmental Protection

Pub Date : 2026-03-15 Epub Date: 2026-02-18 DOI: 10.1016/j.psep.2026.108633

Sanjukta Zamindar , Rajeshwari Pal , Priyabrata Banerjee

The anticorrosive potential of two curcumin-derivatives containing the 4-hydroxy-3-methoxyphenyl)acryloyl-moiety, synthesized by one-pot multicomponent reaction, was elucidated. The protective capabilities of these curcumin derivatives on mild steel (MS) in static hydrochloric acid environment were evaluated utilising weight loss and electrochemical techniques. A high corrosion inhibition efficiency was achieved at a concentration of 100 ppm. The robust film-forming abilities of the inhibitors were explicated through morphological and elemental analyses. Simultaneously, the two inhibitor molecules exhibited antibacterial activity against Gram-negative bacteria. Moreover, expanding the boundaries of practical application, a smartphone-assisted on-site monitoring of low/high concentration corrosion inhibitor was achieved at the point-of-need. The experimental outcomes were validated through an in-silico investigation, leveraging density functional theory (DFT), non-covalent interaction (NCI) and reduced density gradient (RDG). Particularly, the large negative adsorption energy of the curcumin derivative, obtained through molecular dynamics (MD) simulations, provided compelling evidence for its highly protective mechanism. This culminated in a ‘3 A strategy’ combining anticorrosion, antibacterial, and a ‘digital eye’ for advanced monitoring capabilities for environmental safety.

对一锅多组分反应合成的2种含4-羟基-3-甲氧基苯基)丙烯基的姜黄素衍生物的防腐性能进行了研究。利用失重和电化学技术评价了姜黄素衍生物在静态盐酸环境下对低碳钢（MS）的保护能力。当溶液浓度为100 ppm时，具有较高的缓蚀效率。通过形态和元素分析，阐明了抑制剂的强大成膜能力。同时，两种抑制剂分子对革兰氏阴性菌均表现出抑菌活性。此外，通过智能手机辅助现场监测低/高浓度缓蚀剂，扩大了实际应用的范围。利用密度泛函理论（DFT）、非共价相互作用（NCI）和降低密度梯度（RDG），通过计算机研究验证了实验结果。特别是，通过分子动力学（MD）模拟获得的姜黄素衍生物的大负吸附能，为其高度保护机制提供了令人信服的证据。最终形成了一项“3 a战略”，结合了防腐、抗菌和先进的环境安全监测能力的“数字之眼”。

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引用次数: 0

Molten NaOH-KOH assisted thermo-chemical detoxification of waste salt containing hazardous organics 熔融NaOH-KOH辅助含有害有机物的废盐热化学解毒

IF 7.8 2区环境科学与生态学 Q1 ENGINEERING, CHEMICAL

Process Safety and Environmental Protection

Pub Date : 2026-03-15 Epub Date: 2026-02-02 DOI: 10.1016/j.psep.2026.108548

Hongping He , Yong Cheng , Linhua Jiang , Youcai Zhao , Dongjie Niu , Xunchang Fei , Rong Zhang , Shijin Dai

Thermo-chemical conversion (TCC) is an effective strategy in the detoxification of waste salt (WS) containing hazardous organics, which can be enhanced by molten salt, e.g., molten NaOH-KOH. However, the microscopic process remains largely unclear. With the WS collecting from a pesticide enterprise, this study comprehensively investigated the pyrolysis and combustion behaviors based on TG and FTIR. Particularly, molten NaOH-KOH mediation was explored. The results showed that combustion appeared to be more advantageous than pyrolysis for WS detoxification. Moreover, attributing to the enhanced heat transfer and catalytic activity of molten NaOH-KOH, the detoxification was promoted, manifested as a decrease in the peaked temperature of organic reactions (from 192 ℃ to 147 ℃). In addition, the emissions of C_xH_y, CO, and SO₂ decreased by 55.4 %, 88.2 %, and 74.1 %, respectively, due to the trapping effect by molten NaOH-KOH. Afterwards, continuous operation was conducted, and the results showed that the total organic carbon of the treated WS reduced evidently by 75.9 %, indicating stable and satisfactory performance. This study is of significance for understanding the WS transformation during TCC, especially when the molten salt is involved. The effective suppression of gas emissions under controlled conditions and the stable performance during continuous operation demonstrate the potential of this process for large-scale applications in the future.

热化学转化（TCC）是含有害有机物的废盐（WS）解毒的有效策略，可通过熔融盐（如熔融NaOH-KOH）来增强。然而，微观过程在很大程度上仍不清楚。本研究以某农药企业收集的WS为研究对象，基于热重分析（TG）和红外光谱（FTIR）对其热解燃烧行为进行了全面研究。特别探讨了熔融NaOH-KOH的调解作用。结果表明，燃烧解毒比热解解毒更有利。此外，由于NaOH-KOH熔液的传热和催化活性增强，促进了脱毒，表现为有机反应的峰值温度从192℃降低到147℃。此外，由于NaOH-KOH的俘获作用，CxHy、CO和SO2的排放量分别下降了55.4% %、88.2% %和74.1 %。之后进行连续运行，结果表明，处理后的WS总有机碳明显减少了75.9% %，性能稳定，令人满意。本文的研究对了解TCC过程中WS的转化过程，特别是涉及熔盐的过程具有重要意义。在控制条件下有效抑制气体排放和连续运行期间的稳定性能表明该工艺在未来大规模应用的潜力。

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引用次数: 0

Sustainable production of construction geomaterials from waste slurry through an optimized low-carbon dewatering–solidification process 通过优化的低碳脱水固化工艺，从废浆中可持续生产建筑土工材料

IF 7.8 2区环境科学与生态学 Q1 ENGINEERING, CHEMICAL

Process Safety and Environmental Protection

Pub Date : 2026-03-15 Epub Date: 2026-02-06 DOI: 10.1016/j.psep.2026.108569

Silin Wu , Shutong Dong , Wenwen Ding , Xiaohui Sun , Qi Zheng , Kaili Wu , Yongzheng Qi , Zhongping Chen

Large volumes of high-water-content waste slurry require efficient dewatering and resource utilization to achieve sustainable development. The recently proposed Binder-Pretreated Filtration Process (BPFP) addresses this need by enabling rapid dewatering and producing construction geomaterials; however, the pre-addition of binders causes hydration product loss during filtration, resulting in strength reduction, higher costs, and resource inefficiency. This study quantitatively evaluates the limitations and influencing factors of BPFP and proposes an optimized process with mechanistic insights. Results indicate that BPFP-treated filter cakes exhibit a 19 %–40 % strength reduction at 3 days and 7 %–18 % at 56 days, with short curing time, fast-hydrating binders, high initial water content, and extended pretreatment exacerbating these losses. To overcome these drawbacks, an Enhanced BPFP (EBPFP) was developed by incorporating small amounts of supplementary agents before binder pretreatment. Compared with BPFP, the optimal dosage of each supplementary agent in EBPFP achieved an additional 23 %–36 % strength gain, 11.15 %–20.26 % cost reduction, 17.22 %–20.18 % carbon emission reduction, and improved dewatering efficiency. Microstructural analysis revealed that BPFP-induced strength reduction is attributed to accelerated binder hydration in the high-water-content slurry environment, causing hydration product loss and increased porosity, whereas EBPFP suppresses early hydration, enhances C-S-H and AFt formation, and refines pore structure, thereby improving strength. Overall, this study deepens the understanding of binder behavior under slurry dewatering–solidification conditions and provides a cleaner production pathway for converting waste slurry into cost-effective, low-carbon construction geomaterials.

大量高含水率的废浆需要高效脱水和资源化利用才能实现可持续发展。最近提出的粘合剂预处理过滤工艺（BPFP）通过实现快速脱水和生产建筑岩土材料来解决这一需求；然而，在过滤过程中，预加入粘合剂会导致水化产物损失，导致强度降低，成本增加，资源效率低下。本研究定量评价了BPFP的局限性和影响因素，并提出了一种具有机制见解的优化流程。结果表明，bp - pfp处理过的滤饼在3天强度降低19 % -40 %，在56天强度降低7 % -18 %，养护时间短，粘合剂水化快，初始含水量高，延长预处理时间加剧了这些损失。为了克服这些缺点，在粘合剂预处理前加入少量补充剂，开发了增强型BPFP （EBPFP）。与BPFP相比，EBPFP中各补充剂的最佳用量可使强度增加23% % ~ 36% %，成本降低11.15 % ~ 20.26 %，碳排放量减少17.22 % ~ 20.18 %，脱水效率提高。微观结构分析表明，bpfp导致强度降低的原因是高含水量泥浆环境中粘结剂的水化加速，导致水化产物损失和孔隙率增加，而EBPFP抑制早期水化，促进C-S-H和AFt的形成，细化孔隙结构，从而提高强度。总的来说，本研究加深了对浆料脱水固化条件下粘结剂行为的理解，为将废浆料转化为低成本、低碳的建筑土工材料提供了一条清洁的生产途径。

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