Case Studies in Chemical and Environmental Engineering最新文献_第6页

Phytoremediation of septic tank effluent using green roof systems planted with Vernonia elliptica and Campsis radicans 植物修复化粪池污水利用绿色屋顶系统种植的水龙花和坎普斯根

Q1 Environmental Science

Case Studies in Chemical and Environmental Engineering

Pub Date : 2026-06-01 Epub Date: 2026-01-12 DOI: 10.1016/j.cscee.2026.101329

Cong-Sac Tran , Thi-Yen-Phuong Nguyen , Mai-Nhu Hoang , Thi-Kim-Quyen Vo , Phuoc-Dan Nguyen , Veeriah Jegatheesan , Van-Tung Tra , Xuan-Thanh Bui

Rapid urbanization has led to a reduction in green spaces and an increase in the discharge of untreated wastewater, posing significant environmental challenges. Green roof systems offer a sustainable solution by integrating vegetation into urban infrastructure to deliver ecological and wastewater treatment benefits. This study evaluated the performance of two ornamental climbers, Vernonia elliptica and Campsis radicans, in treating septic tank effluent under two hydraulic loading rates (16 and 50 L/m².d) in green roof systems. Both plant species demonstrated good adaptability and growth under effluent exposure. At a high hydraulic loading rate (50 L/m².d), green roofs planted with Campsis radicans achieved removal rates of 13.96 ± 2.14 gCOD/m².d for organic matter, 0.96 ± 0.24 gN/m².d for total nitrogen, and 0.02 ± 0.01 gP/m².d for total phosphorus. These values were nearly four times higher than those at the lower hydraulic loading rate (16 L/m².d). Vernonia elliptica showed slightly better pollutant removal efficiency compared to Campsis radicans and also provided a larger green coverage area (6 m²), enhancing the aesthetic and ecological value of the green roof. These findings highlight the dual functionality of green roofs as a decentralized wastewater treatment system and a contributor to urban greening.

快速城市化导致绿地面积减少，未经处理的废水排放量增加，对环境构成重大挑战。绿色屋顶系统通过将植被整合到城市基础设施中，提供可持续的解决方案，以实现生态和废水处理的效益。本研究评估了两种观赏攀缘植物，Vernonia elliptica和Campsis radicans在两种水力加载率（16和50 L/m2）下处理化粪池污水的性能。D)绿色屋顶系统。两种植物均表现出良好的污水处理适应性和生长能力。在高水力加载率(50升/平方米。d)种植绿草的绿化屋顶去除率为13.96±2.14 gCOD/m2。d为0.96±0.24 gN/m2。d为总氮，0.02±0.01 gP/m2。D表示总磷。这些数值几乎是较低水力加载速率（16 L/m2.d）时的4倍。与Campsis radicans相比，Vernonia elliptica的污染物去除效率略好，并且提供了更大的绿色覆盖面积（6 m2），增强了绿色屋顶的美学和生态价值。这些发现强调了绿色屋顶作为分散的污水处理系统和城市绿化的双重功能。

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引用次数: 0

High-performance magnetic COFs for synergistic adsorption–photocatalysis of thiamethoxam and acetamiprid in water 高性能磁性COFs在水中协同吸附-光催化噻虫嗪和啶虫脒

Q1 Environmental Science

Case Studies in Chemical and Environmental Engineering

Pub Date : 2026-06-01 Epub Date: 2026-01-08 DOI: 10.1016/j.cscee.2026.101325

Shaikha S. AlNeyadi, Hamad K. Alblooshi, Muneb R. Mukhtar

The persistence of neonicotinoid insecticides such as thiamethoxam (THM) and acetamiprid (ACP) in aquatic systems poses significant ecological and health risks, necessitating effective remediation strategies. In this work, we report the synthesis of hydrophilic magnetic covalent organic frameworks (COFs) functionalized with Fe₃O₄ nanoparticles as integrated adsorbent–photocatalyst systems for simultaneous capture and degradation of THM and ACP. The COFs, engineered with nitrogen-rich, π-conjugated backbones, combine strong π–π stacking, hydrogen bonding, and hydrophobic interactions with high surface area, crystallinity, and magnetic recoverability (confirmed by FT-IR, XRD, BET, and VSM analyses). Fe₃O₄@HMN-COF delivered exceptional adsorption performance, achieving maximum capacities of 520 mg g⁻¹ (THM) and 450 mg g⁻¹ (ACP), fitting a pseudo-second-order kinetic model and Langmuir monolayer adsorption, with thermodynamic analysis indicating a spontaneous and endothermic process. Under optimized UV conditions (1:1 Fe₃O₄:COF ratio, 0.01 g catalyst, pH 11.0, 30 °C), Fe₃O₄@HMN-COF achieved 96.2 % degradation of THM and 95 % of ACP within 5 h, with complete mineralization confirmed by GC–MS and rate constants up to 0.198 h⁻¹—substantially outperforming conventional adsorbents and photocatalysts. The material retained >85 % of its performance over five regeneration cycles and maintained high activity in complex real matrices (honey, fruit extracts), underscoring its structural robustness and selectivity. These results position hydrophilic magnetic COFs as scalable, reusable, and high-efficiency platforms for the sustainable removal of neonicotinoid pesticides from contaminated water.

噻虫脒（THM）和啶虫脒（ACP）等新烟碱类杀虫剂在水生系统中的持久性造成了重大的生态和健康风险，需要有效的修复策略。在这项工作中，我们报道了用Fe3O4纳米粒子功能化的亲水磁性共价有机框架（COFs）的合成，作为同时捕获和降解THM和ACP的集成吸附剂-光催化剂体系。COFs采用富氮、π共轭骨架，结合了强π -π堆积、氢键和疏水相互作用，具有高表面积、结晶度和高磁可恢复性（经FT-IR、XRD、BET和VSM分析证实）。Fe3O4@HMN-COF提供了优异的吸附性能，达到了520 mg g - 1 （THM）和450 mg g - 1 （ACP）的最大容量，符合伪二级动力学模型和Langmuir单层吸附，热力学分析表明这是一个自发的吸热过程。在优化的紫外条件下（Fe3O4:COF比为1:1，催化剂为0.01 g， pH为11.0,30°C）， Fe3O4@HMN-COF在5 h内对THM的降解率为96.2%，对ACP的降解率为95%，GC-MS证实其矿化完全，速率常数高达0.198 h−1，大大优于传统的吸附剂和光催化剂。该材料在五个再生循环中保持了85%的性能，并在复杂的真实基质（蜂蜜，水果提取物）中保持了高活性，强调了其结构稳健性和选择性。这些结果将亲水磁性COFs定位为可扩展的、可重复使用的、高效的平台，用于从受污染的水中可持续去除新烟碱类农药。

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引用次数: 0

Case study on steam-assisted solvent-free microwave extraction of black pepper essential oil: Comparative performance, kinetics, and process intensification against microwave hydrodistillation 蒸汽辅助无溶剂微波萃取黑胡椒精油的案例研究：与微波加氢蒸馏的性能、动力学和工艺强化比较

Q1 Environmental Science

Case Studies in Chemical and Environmental Engineering

Pub Date : 2026-06-01 Epub Date: 2026-02-26 DOI: 10.1016/j.cscee.2026.101355

Yeni Variyana , Fadian Farisan Silmi , Renova Panjaitan , Ainiya Nanda Aurunnisa , Mahfud Mahfud

Steam-assisted solvent-free microwave extraction (SFMES) has been proposed as an intensified alternative to microwave hydrodistillation (MHD) for essential oil recovery; however, comparative engineering evidence under harmonized operating conditions remains limited. This case study evaluates and compares the extraction performance, kinetics, and process intensification characteristics of SFMES and MHD for black pepper (Piper nigrum L.) essential oil production. Both extraction routes were investigated under identical microwave power (150–600 W), feed loading, and extraction time windows using a Taguchi L₃₂ experimental design. Extraction yield, recovery relative to Soxhlet reference, start-up dynamics, and physicochemical quality (ISO 3061:2008) were assessed, supported by GC–MS compositional analysis and kinetic modeling. The results demonstrate that SFMES consistently achieved higher oil yield and recovery, reaching up to 90.14 % Soxhlet-equivalent recovery, compared with 73.37 % for MHD at 600 W. Steam assistance significantly reduced first-drop time, stabilized thermal behavior at elevated microwave power, and enabled earlier attainment of extraction plateaus. Kinetic analysis revealed that SFMES followed Elovich-type behavior, indicating surface-controlled desorption, whereas MHD obeyed Power-Law kinetics characteristic of diffusion-limited liquid-phase transport. GC–MS analysis confirmed improved preservation of monoterpene-rich fractions under solvent-free steam-microwave conditions, while both methods produced oils compliant with ISO quality specifications. Hence, this case study demonstrates, using black pepper essential oil as a representative system, that steam-assisted solvent-free microwave extraction represents a practical and scalable process-intensification route for essential oil production, offering reduced processing time, improved recovery efficiency, and enhanced product quality relative to microwave hydrodistillation.

蒸汽辅助无溶剂微波萃取（SFMES）已被提出作为微波加氢蒸馏（MHD）的强化替代方法来回收精油。然而，在协调运行条件下的比较工程证据仍然有限。本案例研究评估和比较了SFMES和MHD在黑胡椒（Piper nigrum L.）精油生产中的提取性能、动力学和过程强化特性。采用Taguchi L32实验设计，在相同的微波功率（150-600 W）、进料载荷和提取时间窗下研究两种提取途径。在GC-MS成分分析和动力学建模的支持下，对萃取率、索氏基准回收率、启动动力学和理化质量（ISO 3061:2008）进行了评估。结果表明，SFMES持续获得更高的产油量和采收率，达到90.14%的索氏当量采收率，而600 W的MHD则为73.37%。蒸汽辅助显著缩短了首次滴入时间，在微波功率升高时稳定了热行为，并能够更早地达到萃取平台。动力学分析表明，SFMES符合elovic型行为，表明表面控制脱附，而MHD符合扩散限制液相输运的幂律动力学特征。GC-MS分析证实，在无溶剂蒸汽-微波条件下，富含单萜烯的组分得到了更好的保存，两种方法生产的油都符合ISO质量标准。因此，本案例研究表明，以黑胡椒精油为代表体系，蒸汽辅助无溶剂微波萃取是一种实用且可扩展的精油生产工艺强化路线，相对于微波加氢蒸馏，可以缩短处理时间，提高回收效率，提高产品质量。

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引用次数: 0

Long-term performance and life cycle assessment of integrated Hydroponics-Microbial Electrochemical Technology for managing domestic wastewater resources 水培-微生物电化学集成技术在生活污水资源管理中的长期性能和生命周期评价

Q1 Environmental Science

Case Studies in Chemical and Environmental Engineering

Pub Date : 2026-06-01 Epub Date: 2026-02-12 DOI: 10.1016/j.cscee.2026.101347

Ravi Kumar Yadav , Rendra Hakim Hafyan , Ramandeep Singh , Siddharth Gadkari , Sunil A. Patil

This study aimed to assess the practical applicability and environmental sustainability of the emerging integrated Hydroponics-Microbial Electrochemical Technology (iHydroMET) for managing domestic wastewater resources through a year-long field study. The tower-design iHydroMET system, comprised of seven modular reactors containing leafy greens such as lettuce/sweet basil/peppermint, coconut husk, and a granular activated carbon-electrode assembly, achieved robust wastewater treatment (90.1 ± 2.7% at 405.5 ± 34.1 mg/L.d COD, 45.2 ± 5.2% at 32.9 ± 3.8 mg/L.d total nitrogen, and 98.3 ± 0.6% turbidity removal), without showing clogging signs at 11.7 h hydraulic retention time. It produced reclaimed water (∼20 mg/L TN and ∼5 mg/L TP) suitable for gardening, substantial leafy greens (∼312 g/m³_wastewater), and electric power output (75.7 ± 4.8 mW/m²) for on-site use. The “cradle-to-gate” life cycle analysis revealed plastic framework and electricity consumption as the major contributors to environmental burdens (e.g., 0.34 kg CO₂-eq global warming potential), while plant cultivation avoided the impacts (6.5 to 23.2%). The land footprint of the demonstrated system (1.6 m²/PE) is higher than that of aeration-based technologies but lower than constructed wetlands. The findings suggest that low-cost iHydroMET is suitable for managing domestic wastewater, thereby promoting circular resource utilization paradigms at point sources such as households.

本研究旨在通过为期一年的实地研究，评估新兴的综合水培-微生物电化学技术（iHydroMET）在管理生活废水资源方面的实用性和环境可持续性。塔式设计的iHydroMET系统由7个模块化反应器组成，其中包含生菜/甜罗勒/薄荷等绿叶蔬菜，椰子壳和颗粒活性炭电极组件，在405.5±34.1 mg/L下实现了强劲的废水处理（90.1±2.7%）。d COD在32.9±3.8 mg/L时为45.2±5.2%。总氮量D，浊度去除率98.3±0.6%)，水力滞留时间11.7 h，无堵塞迹象。它产生了适合园艺的再生水（~ 20mg /L TN和~ 5mg /L TP）、大量绿叶蔬菜（~ 312 g/m3废水）和现场使用的电力输出（75.7±4.8 mW/m2）。“从摇篮到大门”的生命周期分析显示，塑料框架和电力消耗是造成环境负担的主要因素（例如，0.34 kg co2当量全球变暖潜势），而植物种植避免了这些影响（6.5%至23.2%）。该系统的土地足迹（1.6 m2/PE）高于曝气技术，但低于人工湿地。研究结果表明，低成本的iHydroMET适用于管理生活废水，从而促进家庭等点源的循环资源利用模式。

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引用次数: 0

Neural network-based prediction of water contamination dynamics in a rapidly developing tropical region 基于神经网络的快速发展热带地区水污染动态预测

Q1 Environmental Science

Case Studies in Chemical and Environmental Engineering

Pub Date : 2026-06-01 Epub Date: 2026-02-04 DOI: 10.1016/j.cscee.2026.101342

Md Abdullah Al Mamun Hridoy , Chiara Bordin , Paolo Pastorino , Khairul Nizam Abdul Maulud , Md Maynuddin Pathan , Azeez Olalekan Baki

Water contamination by toxic elements, including arsenic (As), iron (Fe), phosphate (PO₄), and ammonia nitrogen (NH₃–N), represents a critical threat to aquatic ecosystems and human health, especially in fast-growing tropical regions. Reliable prediction of contaminant behaviour is essential for early warning and sustainable water management. This study applies an integrated forecasting framework that combines Artificial Neural Networks (ANN) with time-series analysis to evaluate water quality parameters. The ANN models showed moderate predictive performance, with EC) achieving 50.76% accuracy and chloride (Cl) predictions generating MAE and RMSE values of 37.75 and 41.27, respectively. However, the high MAPE (218.88%) for Cl highlights the difficulty of modelling episodic pollution spikes. Correlation analysis further indicated a strong EC–Cl association (r = 0.99) and generally weak interrelationships among nutrients and metals (|r| ≤ 0.46). Time-series decomposition further revealed strong seasonal patterns, higher contamination during dry months due to limited dilution, and an overall rising trend linked to increasing anthropogenic pressures. These findings underscore the region's seasonal vulnerability and demonstrate that integrating ANN with temporal analysis can enhance early warning systems, improve monitoring strategies, and support proactive water quality protection in fast-developing tropical basins.

砷（As）、铁（Fe）、磷酸盐（PO4）和氨氮（NH3-N）等有毒元素造成的水污染对水生生态系统和人类健康构成严重威胁，特别是在快速生长的热带地区。污染物行为的可靠预测对于早期预警和可持续水管理至关重要。本研究采用人工神经网络（ANN）与时间序列分析相结合的综合预测框架对水质参数进行评价。人工神经网络模型表现出中等的预测性能，EC)的准确率达到50.76%,Cl（氯）预测的MAE和RMSE值分别为37.75和41.27。然而，Cl的高MAPE（218.88%）突出了模拟偶发性污染峰值的困难。相关分析进一步表明，EC-Cl相关性强（r = 0.99），而营养物质与金属之间的相关性一般较弱（|r≤0.46）。时间序列分解进一步揭示了强烈的季节性模式，由于稀释有限，在干旱月份污染较高，并且与人为压力增加有关的总体上升趋势。这些发现强调了该地区的季节性脆弱性，并表明将人工神经网络与时间分析相结合可以增强预警系统，改进监测策略，并支持快速发展的热带流域的主动水质保护。

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引用次数: 0

Data-driven investigation of the solvent effect in Diels-Alder reaction Diels-Alder反应溶剂效应的数据驱动研究

Q1 Environmental Science

Case Studies in Chemical and Environmental Engineering

Pub Date : 2026-06-01 Epub Date: 2025-12-17 DOI: 10.1016/j.cscee.2025.101314

Benny Wahyudianto , Takashi Saito , Haruki Nagae , Yoshihiro Takebayashi , Sho Kataoka

The Diels-Alder (DA) reaction on 25 solvents was evaluated using in situ UV–Visible spectrophotometer. The solvent effect was investigated by using machine learning based on experimental data to identify key factors in the reaction. The data analysis unveiled Catalán acidity, basicity, and dipolarity as three important solvent parameters. These parameters accounted for the exceptional behavior of fluorinated solvents, such as 1,1,1,3,3,3-hexafluoroisopropanol, which exhibited a significantly higher rate constant (k₂ = 3.821 M⁻¹ s⁻¹) compared to other organic solvents. Furthermore, we also compare our results with preliminary density functional theory calculations to better understand the solvent effect, especially fluorinated solvent.

采用原位紫外可见分光光度计对25种溶剂上的Diels-Alder （DA）反应进行了评价。在实验数据的基础上，利用机器学习方法研究溶剂效应，识别反应中的关键因素。数据分析表明Catalán酸度、碱度和双极性是溶剂的三个重要参数。这些参数解释了氟化溶剂的异常行为，例如1,1,1,3,3,3-六氟异丙醇，与其他有机溶剂相比，其速率常数（k2 = 3.821 M−1 s−1）显着更高。此外，我们还将我们的结果与密度泛函理论的初步计算结果进行了比较，以更好地理解溶剂效应，特别是氟化溶剂效应。

引用次数: 0

Greenhouse gas emission forecasting analysis in Jakarta towards net zero emissions in 2050 雅加达2050年实现净零排放的温室气体排放预测分析

Q1 Environmental Science

Case Studies in Chemical and Environmental Engineering

Pub Date : 2026-06-01 Epub Date: 2025-12-23 DOI: 10.1016/j.cscee.2025.101315

Lina Gozali , Katya Victory Liu , Adianto Adianto , Siti Rohana Nasution , Carla Olivia Doaly

Increasing greenhouse gas (GHG) emissions are a serious threat to the environment, especially in Jakarta, which in 2023 recorded emissions of 63 MtCO₂e. This study aims to identify the primary factors contributing to GHG emissions in Jakarta, project emission trends until 2050 using pessimistic, optimistic, and net-zero scenarios, and formulate effective mitigation strategies. The variables used are electricity consumption, private vehicle use, industrial energy consumption, waste generation, population growth, green open space, and public transportation usage. The analysis was conducted using various forecasting methods, including multiple linear regression, ARIMA, ARIMAX, SARIMA, SARIMAX, Random Forest, and Multilayer Perceptron. Among these, the Multilayer Perceptron model achieved the highest predictive accuracy in long-term predictions. The results reveal that current mitigation efforts are insufficient to achieve net-zero emissions by 2050, indicating the need for more aggressive interventions. Effective strategies include expanding green open space by 7 % annually, reducing motorized vehicle use by 4 %, lowering industrial energy consumption by 3 %, improving waste treatment efficiency by 3 %, and accelerating the transition to renewable energy. These findings highlight the urgency of enhancing climate action and provide a framework that can inform urban emission reduction strategies in other rapidly developing cities seeking sustainable, low-carbon futures.

不断增加的温室气体（GHG）排放对环境构成严重威胁，特别是在雅加达，其2023年的排放量达到6300万吨二氧化碳当量。本研究旨在确定造成雅加达温室气体排放的主要因素，使用悲观、乐观和净零情景预测到2050年的排放趋势，并制定有效的减缓战略。使用的变量包括电力消耗、私家车使用、工业能源消耗、废物产生、人口增长、绿色开放空间和公共交通使用。采用多元线性回归、ARIMA、ARIMAX、SARIMA、SARIMAX、Random Forest、Multilayer Perceptron等多种预测方法进行分析。其中，多层感知器模型在长期预测中获得了最高的预测精度。结果表明，目前的缓解努力不足以在2050年前实现净零排放，这表明需要采取更积极的干预措施。有效的策略包括每年扩大7%的绿色开放空间，减少4%的机动车使用量，降低3%的工业能耗，提高3%的废物处理效率，加速向可再生能源的过渡。这些发现强调了加强气候行动的紧迫性，并提供了一个框架，可以为其他寻求可持续低碳未来的快速发展城市的城市减排战略提供信息。

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引用次数: 0

Metal accumulation and rhizosphere microbial associations in Nymphaea lotus and Limnocharis flava from a natural wetland 天然湿地荷花和黄颡鱼根际微生物与金属积累的关系

Q1 Environmental Science

Case Studies in Chemical and Environmental Engineering

Pub Date : 2026-06-01 Epub Date: 2026-02-19 DOI: 10.1016/j.cscee.2026.101345

Naiyanan Ariyakanon , Bencharithiwong Naratorn , Rungsiyanont Chonchaya , Avnish Nitin Mistry

Wetlands are vital ecosystems that support nutrient cycling and water purification but are increasingly threatened by heavy metal contamination. This study evaluated the accumulation of Ni, As, Cd, Cr, Cu, and Zn in Nymphaea lotus L. and Limnocharis flava (L.) Buchenau and investigated their relationships with sediment properties and rhizosphere microbial communities in a natural wetland in central Thailand. Metal levels in plant tissues and sediments were quantified, and rhizosphere bacteria were characterized using 16S rRNA gene sequencing. N. lotus showed higher accumulation of Ni, As, Cd, and Cr, whereas L. flava preferentially accumulated Cu and Zn. Bioconcentration and bioaccumulation factors exceeded 1 for As and Zn in N. lotus and for Cu and Zn in L. flava, while translocation factors indicated efficient movement of Zn in N. lotus and of Cr, Cu, and Zn in L. flava. Strongly acidic sediments enhanced metal solubility and mobility. Microbial diversity was higher in L. flava roots, whereas diversity declined in N. lotus under elevated As and Cr. Both rhizospheres were dominated by Proteobacteria, with metal tolerant taxa enriched in contaminated zones. Both species are promising phytoremediation candidates for As, Cr, Zn, and Cu contaminated wetlands.

湿地是支持养分循环和水净化的重要生态系统，但日益受到重金属污染的威胁。研究了莲花和黄颡鱼对Ni、As、Cd、Cr、Cu和Zn的积累。研究了它们与泰国中部天然湿地沉积物性质和根际微生物群落的关系。利用16S rRNA基因测序技术对植物组织和沉积物中的金属含量进行了定量分析，并对根际细菌进行了鉴定。荷花对Ni、As、Cd和Cr的富集程度较高，而黄花对Cu和Zn的富集程度较高。莲叶中As、Zn、Cu、Zn的生物富集因子和积累因子均超过1，莲叶中Zn和黄叶中Cr、Cu、Zn的生物富集因子均超过1，转运因子表明莲叶中Zn和黄叶中Cr、Cu、Zn的有效移动。强酸性沉积物增强了金属的溶解度和流动性。在砷和铬浓度升高的情况下，黄草根的微生物多样性较高，莲藕根的微生物多样性下降。根际均以变形菌属为主，污染区富集了耐金属菌群。这两个物种都是修复砷、铬、锌和铜污染湿地的有希望的植物候选物种。

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引用次数: 0

Phosphazene–chitosan based COF film with exceptional iodine capture and recyclability 磷烯-壳聚糖基COF膜具有优异的碘捕获性和可回收性

Q1 Environmental Science

Case Studies in Chemical and Environmental Engineering

Pub Date : 2026-06-01 Epub Date: 2026-02-28 DOI: 10.1016/j.cscee.2026.101357

Shaikha S. AlNeyadi , Hamda A. Almarar , Mohammed T. Alhassani , Ali H. Almarzooqi

Radioactive iodine is a priority contaminant in nuclear-waste management because of its volatility, mobility, and toxicity, creating a need for sorbents that combine high capacity with stability, regenerability, and practical handling. Covalent organic frameworks (COFs) offer high surface area and tunable functionality for iodine capture, but many high-performing systems remain as powders that are difficult to deploy. Here, an imine-linked cyclotriphosphazene-based covalent organic framework (MA-COF; iodine uptake of 9.4 g g⁻¹ in powder form) is integrated with chitosan to fabricate flexible MA-COF@CS composite membranes. The imine-linked framework structure and permanent porosity of MA-COF are confirmed by complementary FT-IR spectroscopy, powder X-ray diffraction, nitrogen sorption analysis, and chemical stability tests. The optimized membrane (MA-COF:chitosan = 2:1, w/w) achieves an iodine vapor adsorption capacity of 10.50 ± 0.13 g g⁻¹ at 80 °C (n = 3) and removes 97.3 ± 0.5% of iodine from an I₂/cyclohexane solution (C₀ = 300 mg L⁻¹) at room temperature (n = 3). The membrane retains framework ordering after exposure to harsh solvents, remains stable up to ∼400 °C under N₂, and maintains adsorption performance during repeated adsorption–desorption cycles. Regeneration is rapid in ethanol, with 73.6% and 80.4% of iodine desorbed within 10 and 60 min, respectively. These results demonstrate a processable COF–biopolymer membrane sorbent that bridges high-capacity iodine capture with operational reusability and handling requirements relevant to nuclear-waste remediation.

放射性碘因其挥发性、流动性和毒性而成为核废料管理中的优先污染物，因此需要兼具高容量、稳定性、可再生性和实际处理能力的吸附剂。共价有机框架（COFs）为碘捕获提供了高表面积和可调功能，但许多高性能系统仍然是难以部署的粉末。在这里，亚胺连接的环三磷酸腈基共价有机框架（MA-COF；碘吸收率为9.4 g g−1，以粉末形式）与壳聚糖结合，制造柔性MA-COF@CS复合膜。通过互补FT-IR光谱、粉末x射线衍射、氮吸附分析和化学稳定性测试，证实了MA-COF的亚胺连接框架结构和永久孔隙率。优化膜(MA-COF:壳聚糖 = 2:1,w / w)达到10.50的碘蒸气吸附容量 ±0.13  g g 80 −1°C (n = 3)和删除97.3 ± 0.5%的碘I2 /环己烷溶液(C0 = 300 毫克 L−1)在室温下(n = 3)。膜暴露于苛刻的溶剂后保持框架有序，在N2下保持稳定至~ 400 °C，并在重复的吸附-解吸循环中保持吸附性能。在乙醇中再生速度快，在10和60 min内分别脱除了73.6%和80.4%的碘。这些结果证明了一种可处理的cof生物聚合物膜吸附剂，它将高容量碘捕获与核废料修复相关的操作可重用性和处理要求联系起来。

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引用次数: 0

Analytical study on the relationship among Land Surface Temperature, Land Use Land Cover, and spectral indices using geospatial techniques over Sikhottabong District, Laos 老挝Sikhottabong地区地表温度、土地利用、土地覆被与光谱指数关系的地理空间分析研究

Q1 Environmental Science

Case Studies in Chemical and Environmental Engineering

Pub Date : 2025-12-01 Epub Date: 2025-07-27 DOI: 10.1016/j.cscee.2025.101269

Jedtavong Thepvongsa , Erni Saurmalinda Butar Butar

This study examines the relationship between Land Surface Temperature and Land Use/Land Cover in Sikhottabong District, Laos, for the years 1992 and 2023, utilizing Landsat imagery from 1992 to 2023. Geospatial techniques in Google Earth Engine were used to assess Land Use/Land Cover transitions and estimate Land Surface Temperature. Results show that built-up areas have doubled, forests have declined by 30 %, and agricultural areas have increased by 24 %. Land Surface Temperature positively correlates with the Normalized Difference Built-up Index and the Normalized Difference Bare Soil Index, and negatively with the Normalized Difference Water Index. The findings highlight how urban expansion raises Land Surface Temperature, while water bodies help mitigate it. To address the observed rise in Land Surface Temperature, strategies such as enhancing urban green spaces, promoting afforestation, and improving urban water management are recommended to mitigate the heat island effect and support sustainable urban development in Sikhottabong District.

利用1992 - 2023年的Landsat图像，研究了老挝Sikhottabong地区1992年和2023年的地表温度与土地利用/土地覆盖之间的关系。利用谷歌Earth Engine中的地理空间技术评估土地利用/土地覆盖变化，并估算地表温度。结果表明，建成区面积增加了一倍，森林面积减少了30%，而农业面积增加了24%。地表温度与归一化差异堆积指数和归一化差异裸土指数呈正相关，与归一化差异水分指数呈负相关。研究结果强调了城市扩张是如何提高地表温度的，而水体则有助于缓解。为了解决已观测到的地表温度上升问题，建议采取诸如增加城市绿地、促进植树造林和改善城市水管理等策略来缓解热岛效应，并支持锡可达堡地区的可持续城市发展。

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