Process Safety and Environmental Protection最新文献

{"title":"Treatment of limonene-polluted air streams by sequential GAC adsorption and electrochemically H2O2-based oxidation: Challenges and perspectives","authors":"Géssica O.S. Santos ,&nbsp;Cristina Sáez ,&nbsp;Marcos R.V. Lanza ,&nbsp;Manuel A. Rodrigo","doi":"10.1016/j.psep.2025.107054","DOIUrl":"10.1016/j.psep.2025.107054","url":null,"abstract":"<div><div>The sequenced granular activated carbon (GAC)–oxidation process stands out as an advanced treatment that combines the adsorption ability of GAC to capture contaminants with a subsequent oxidation step to degrade or transform these pre-adsorbed into less toxic or added-value products. With this two-step treatment it is possible to extend GAC’s service life and enhances process sustainability. However, research gap remains regarding its application for non-polar gaseous pollutants and the use of electrogenerated oxidants in the oxidation step. To address this, a case study was conducted using limonene (LIM), a non-polar, hydrophobic volatile organic compound common found in indoor air and industrial products. Here, LIM-polluted gaseous streams were treated using a fixed-bed setup, followed by oxidation with electrochemically produced hydrogen peroxide (H₂O₂). Initial tests showed that LIM in aqueous solutions was not efficiently degraded by H₂O₂ alone, but radical oxidation, promoted by H₂O₂ activation by UVC light or O₃, improved reactivity. On GAC, H₂O₂ unexpectedly proved effective due to interactions with free radicals, though UVC irradiation provided minimal additional improvement. In contrast, the addition of ferrocene (Fc), a promising heterogeneous catalyst, significantly enhanced degradation, achieving removal efficiencies up to 35 % in neutral media. This improvement was attributed the Fc-mediated activation within GAC. Eight different intermediates were identified, supporting an oxidation mechanism that varies between technologies. Overall, characterization revealed minimal structural changes in GAC post-treatment. BET analysis showed slight surface area variations for UVC and Fc/H₂O₂ processes, but a decrease in 69 % for H₂O₂ alone, and a 24.4 % increase for UVC/H₂O₂.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"197 ","pages":"Article 107054"},"PeriodicalIF":6.9,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advanced deep learning model for predicting water pollutants using spectral data and augmentation techniques: A case study of the Middle and Lower Yangtze River, China","authors":"Guohao Zhang ,&nbsp;Cailing Wang ,&nbsp;Hongwei Wang ,&nbsp;YU Tao","doi":"10.1016/j.psep.2025.107058","DOIUrl":"10.1016/j.psep.2025.107058","url":null,"abstract":"<div><div>Deep learning has demonstrated significant advantages in managing nonlinear relationships within high-dimensional spectral data, making it widely applicable in water quality monitoring. However, the variety of model selection and construction strategies has resulted in substantial fluctuations in predictive performance, particularly with high-dimensional data. This study constructs an integrated deep learning framework for predicting water pollutant concentrations, incorporating several key modules including data preprocessing, frequency decomposition, feature enhancement, sample augmentation, and decoder regression prediction. In the established model, an improved wavelet transform algorithm is first employed to address the issue of original data being unable to effectively distinguish detailed features, thereby accurately extracting the periodicity and volatility characteristics of the data. Secondly, an encoder module based on the Informer architecture enhances various frequency domain features and further improves the quality of features and their correlation with labels through distillation techniques. Subsequently, an improved generative adversarial network is introduced to tackle the problem of small sample data by effectively augmenting the limited dataset, thereby enhancing the overall quality of the dataset. Finally, a decoder module combining an optimization algorithm and an improved convolutional neural network (IMCPSO-RCNN) effectively addresses the shortcomings of traditional models in hyperparameter optimization and predictive performance, achieving efficient and accurate regression prediction of pollutant concentrations. A case study in the middle and lower reaches of the Yangtze River shows that this model outperforms others in prediction accuracy, achieving coefficients of determination (R²) of 0.9785, 0.9733, and 0.9741 for TN, COD, and TP, respectively. The root mean square error (RMSE) values are 0.0601, 0.6248, and 0.0023, while the mean absolute error (MAE) scores are 0.0252, 0.2810, and 0.0006, respectively. The necessity and effectiveness of each model component are validated through ablation experiments. This research offers an efficient and unified deep learning solution for monitoring water pollutants.</div></div><div><h3>Synopsis</h3><div>This deep learning framework enhances water quality monitoring by accurately predicting pollutant concentrations, informing environmental policy and water system management.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"197 ","pages":"Article 107058"},"PeriodicalIF":6.9,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on the pitting corrosion behavior of X65 steel in supercritical and dense-phase CO2 based on in-situ electrochemical noise measurement","authors":"Guangyu Liu ,&nbsp;Xinxin Fan ,&nbsp;Cailin Wang ,&nbsp;Xuefeng Zhao ,&nbsp;Lan Meng ,&nbsp;Qihui Hu ,&nbsp;Yuxing Li","doi":"10.1016/j.psep.2025.107060","DOIUrl":"10.1016/j.psep.2025.107060","url":null,"abstract":"<div><div>There is a lack of electrochemical measurements and analysis in supercritical and dense-phase CO₂ environments due to the difficulty in conducting in-situ electrochemical tests. This study constructed a novel in-situ electrochemical noise (EN) testing system for supercritical and dense-phase CO₂ corrosion, and the influences of water content and phase state on the corrosion kinetics of pipeline steel were investigated. The results show that metastable pitting and stable pitting coexisted to dominate localized corrosion in supercritical conditions, while stable pitting predominated in dense-phase environments. The differences in pitting corrosion mechanism were further analyzed by the SEM and 3D profilometer characterizations.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"197 ","pages":"Article 107060"},"PeriodicalIF":6.9,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent advances in ultrasound-assisted CO2 absorption/desorption processes: A review","authors":"Maryam Dehbani ,&nbsp;Masoud Rahimi","doi":"10.1016/j.psep.2025.107050","DOIUrl":"10.1016/j.psep.2025.107050","url":null,"abstract":"<div><div>In the last decades, many researchers from around the world have made great efforts to find a highly efficient, low energy consumption, and definitely, environmentally friendly technique for CO₂ capture. Ultrasound-assisted absorption/ desorption processes is the subject of the present review. The use of ultrasound irradiations has emerged as one of the useful improving approaches in terms of heat and mass transfer enhancement as well as reduction in regeneration energy consumption by allowing the process to be performed at lower temperatures than the conventional method. In just over a decade, some various studies on sono-assisted absorption/desorption processes have been carried out, all of which have reported the brilliant results in terms of mass transfer enhancement and energy saving. Some unique phenomena induced by ultrasound including acoustic cavitation, acoustic fountain, atomization, and free radical production are responsible for its fantastic effects on CO₂ absorption and desorption performance. This paper summarizes the research literature regarding the application of ultrasound interference in CO₂ absorption/desorption systems published since the start of research in this field. Assessment of different contributing factors, scalability and research gaps have also been addressed.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"197 ","pages":"Article 107050"},"PeriodicalIF":6.9,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction model for coal chemical wastewater quality after catalytic ozonation process treatment based on deep learning algorithm: Performance evaluation and model comparisons","authors":"Yihe Qin ,&nbsp;Run Yuan ,&nbsp;Xuewei Zhang ,&nbsp;Xuwen He","doi":"10.1016/j.psep.2025.107059","DOIUrl":"10.1016/j.psep.2025.107059","url":null,"abstract":"<div><div>In this study, we tested different models for predicting the effluent water quality of coal chemical wastewater treated by the catalytic ozonation process. The optimal model was further modified using the norm feature vector selection methods and intelligent algorithms. The average removal amount and average removal rate of COD in coal chemical wastewater treated by catalytic ozonation process were 223.62 mg/L and 57.98 %, respectively. AAO-pH, AAO-ammonia nitrogen, AAO-total phosphorus, AAO-COD, AAO-total phenol, SST- COD, SST-total phenol, and SST-turbidity were inputs for each model, while the catalytic ozonation-COD was used as the output for each model. We collected 500 samples of one year for the training, validation, and testing of various models. Compared to other models, the RF model had better predictive performance. Additionally, L1 method had a stronger optimization ability for the RF model than L2 method. Compared with BOA and SSA, IGWO had a larger contribution to improving the predictive ability. The L1-RF-IGWO model showed the best predictive ability (test set R² of 0.8717). The present results can aid coal chemical plants achieve data-driven management of water quality prediction and monitoring, providing ideas for the construction of models for predicting water quality in engineering.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"197 ","pages":"Article 107059"},"PeriodicalIF":6.9,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics of CO2 gasification reaction and biochar structure evolution of rice straw in K2CO3-Na2CO3-Li2CO3 ternary molten salt","authors":"Hui She ,&nbsp;Peng Lv ,&nbsp;Xuanxuan He ,&nbsp;Yonghui Bai ,&nbsp;Jiaofei Wang ,&nbsp;Xudong Song ,&nbsp;Weiguang Su ,&nbsp;Juntao Wei ,&nbsp;Guangsuo Yu","doi":"10.1016/j.psep.2025.107051","DOIUrl":"10.1016/j.psep.2025.107051","url":null,"abstract":"<div><div>The integration of solar molten salt thermal storage with biomass thermochemical conversion is a viable strategy for generating clean and renewable energy. Molten salt offers substantial benefits in catalysis and heat transfer, which are indispensable in gasification processes. However, achieving sufficient mixing of the gaseous atmosphere with the liquid-solid phase is challenging. In this study, a laboratory-scale slurry-bed reactor was utilized to ensure efficient mixing of the three phases. The evolution of product distribution and biochar structure during rice straw gasification in a K₂CO₃-Na₂CO₃-Li₂CO₃ molten salt mixture, under conditions emulating practical applications, was examined. High-temperature stage microscopy (HTSM) was used to observe the real-time morphological evolution of the biomass molten salt gasification process, providing valuable insights into its reaction properties. The findings suggest that the biomass molten salt gasification process is predominantly divided into three stages: encapsulation, erosion, and fragmentation. Compared to traditional gasification methods, molten salt gasification shows superior reactivity, leading to an increased gasification reaction rate. This enhancement is mainly due to the catalytic effects of alkali and alkaline earth metals within the molten salt, along with the exceptional heat transfer capabilities of the liquid medium. Moreover, this approach significantly increased syngas yield from 30.07 % to 50.62 % and reduced tar yield from 26.59 % to 23.72 % within a 15 min gasification period. Additionally, the structure of the biochar was improved, resulting in a larger specific surface area, which increased by 242.56 % at 5 min of gasification. The yields of H₂ and CO produced by gasification of biomass in molten salt for 15 min were 3.55 mmol/g biomass and 12.98 mmol/g biomass, respectively.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"197 ","pages":"Article 107051"},"PeriodicalIF":6.9,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Collagen modification and coordination reaction of diketone dicarboxylic acid as high exhaustion chromium tanning agent: Experimental and DFT simulations","authors":"Yu Zhu ,&nbsp;Yiyue Shen ,&nbsp;Ying Wang ,&nbsp;Huimin Zhao ,&nbsp;Jinli Wei ,&nbsp;Haoyuan Chen ,&nbsp;Maroosha Javed ,&nbsp;Linghua Zhuang ,&nbsp;Guowei Wang","doi":"10.1016/j.psep.2025.107053","DOIUrl":"10.1016/j.psep.2025.107053","url":null,"abstract":"<div><div>High exhaustion chromium tannage is an important method to curb the environmental pollution of traditional chrome tanning process. One diketone dicarboxylic acid, 3,3-diacetyl-pentanedioic acid (DAPA) was proposed and applied for high exhaustion chromium tanning process. The chromium content of effluent liquor from DAPA-4 method (394.8 mg·L⁻¹) was much lower than that of Control method (1223.7 mg·L⁻¹). Chromium uptake ratio of DAPA-4 method (90.13 %) was much higher than that of Control method (69.41 %). The tensile strength (Ts), tearing strength, and bursting strength values of leather sample from DAPA-4 method were higher than those of Control method. COD and TDS of effluent liquor from DAPA-4 method was 2193.0 mg/L and 30154.0 mg/L. The high exhaustion chromium tanning mechanism of DAPA including collagen modification and coordination reaction was analyzed from experimental and Density Functional Theory (DFT) simulations. Chemical reaction between diethyl-3,3-diacetylpentanedioate (DAPD) and guanidine carbonate resulted as pyrimidine derivative (4,6-dimethyl-2-imino-5,5-diethyl-acetate-pyrimidine, MDES). Collagen modification of DAPA upon white hide powder was determined. The effect of molar ratio, temperature, and pH value on coordination products formed between DAPA and trivalent chromium ion was analyzed. The β-dicarbonyl group of DAPA will react with guanidine group of arginine (Arg) to form a pyrimidine derivative, which result in collagen modification and introduce two carboxylic acid (-COOH) groups into collagen fiber. The introduction of -COOH group into collagen enhances the chromium uptake. This work will shed light on design and preparation of high exhaustion chromium tanning agent, also show practical application for sustainable chrome-less leather production.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"197 ","pages":"Article 107053"},"PeriodicalIF":6.9,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advanced oxidation processes for the removal of artificial sweeteners from aqueous environments: A comprehensive review","authors":"Jiayin Liu,&nbsp;Qi Jiang,&nbsp;Shaobo Chen,&nbsp;Rui Yang,&nbsp;Menghao Fang,&nbsp;Zhongjun Xu","doi":"10.1016/j.psep.2025.107049","DOIUrl":"10.1016/j.psep.2025.107049","url":null,"abstract":"<div><div>Artificial sweeteners (ASs) are widely detected in aquatic environments due to their high solubility and long half-lives. The growing concern regarding their environmental persistence and potential risks to human health highlights the need for effective treatment technologies. Advanced oxidation processes (AOPs) have emerged as promising methods for ASs removal, offering energy efficiency and the potential for complete mineralization. It emphasized the effectiveness, degradation pathways and influencing factors associated with photocatalytic oxidation, electrocatalytic oxidation and ozonation, as well as their synergistic application with Fenton and persulfate oxidation. The integration of light and electrical energy significantly enhanced the activation of oxidants, leading to efficient and rapid degradation. Ozone showed substantial potential due to its ability to generate a high amount of hydroxyl radicals upon activation. This review summarizes common ASs and their removal by AOPs. Considering removal efficiencies, it is suggested that ASs with a bicyclic structure is more suitable for synergistic AOPs removal. Challenges include the stability of bicyclic structures and prolonged treatment time. Future research should focus on optimizing reaction systems and scaling up these processes for practical applications.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"197 ","pages":"Article 107049"},"PeriodicalIF":6.9,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"One stone, three birds: Recovery of high-quality niobium and iron products from niobium-bearing tailings using low-temperature fluidized hydrogen reduction technology","authors":"Jiahao He ,&nbsp;Zihang Wang ,&nbsp;Ping Zhao ,&nbsp;Shuai Yuan ,&nbsp;Peng Gao ,&nbsp;Zhidong Tang","doi":"10.1016/j.psep.2025.107055","DOIUrl":"10.1016/j.psep.2025.107055","url":null,"abstract":"<div><div>Over 98 % of global niobium production is controlled by just two countries, leading to potential supply risks. The Bayan Obo tailings contain significant amounts of strategic minerals, including iron and niobium. However, the current processes struggle to efficiently recover niobium from these resources. This study innovatively proposes a low-temperature fluidized hydrogen reduction process to treat niobium-bearing tailings from Bayan Obo. Under the optimal parameters of reduction temperature of 475 °C, reduction time of 30 min, and H₂ concentration of 20 %, the reduction product was subjected to magnetic separation. This yielded iron concentrates with 68.27 wt% TFe and a recovery of 96.58 wt%, and niobium products with 17.55 wt% Nb₂O₅ and a recovery of 90.51 wt%. The niobium enrichment ratio reached 5.48. The primary alteration observed in the niobium-bearing tailings during the reduction process is the reduction of hematite to magnetite, exhibiting no phase transformation of the niobium-bearing minerals. During this process, the product exhibited enhanced magnetism, an elevated Fe^2 + content, and the formation of new pores. When the reduction temperature was excessive or the reduction time was unduly prolonged, magnetite was over-reduction to wüstite, resulting in a decrease of magnetism and porosity, which adversely affected on subsequent magnetic separation. At 600 °C, the formation of Fe₂TiO₅ was also observed. This process not only employs hydrogen as a replacement for carbon as a reducing agent to produce high-quality niobium and iron products, but also provides a novel approach for processing analogous iron-bearing tailings, polymetallic ores, and solid waste resources.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"197 ","pages":"Article 107055"},"PeriodicalIF":6.9,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the impact of electric vehicle range on use-phase carbon footprint: A life cycle assessment approach","authors":"Xin Lai ,&nbsp;Junjie Chen ,&nbsp;Quanwei Chen ,&nbsp;Bo Tang ,&nbsp;Yuejiu Zheng ,&nbsp;E Cheng","doi":"10.1016/j.psep.2025.107044","DOIUrl":"10.1016/j.psep.2025.107044","url":null,"abstract":"<div><div>As the range of battery electric vehicles (BEVs) increases, the carbon footprint generated during the use phase is rarely investigated and compared. The carbon footprint of BEVs with different ranges during the use phase is quantified and analyzed using the life cycle assessment (LCA) method to explore the optimal range from a low-carbon perspective. The study comprehensively considers the battery deadweight, charging and discharging cycle efficiency energy loss, and abatement portion of the kinetic energy recovery system (KERS) in the carbon footprint accounting. Results show that: (1) At the range of 300 km and above, the carbon footprint from the self-weight of batteries is more significant than due to charge/discharge cycles. (2) A KERS carbon abatement analysis based on the established 15 driving conditions is performed, in which the initial speed is the most influential parameter. (3) Carbon footprint varies considerably from vehicle type and positively correlates with the charge/discharge rate. (4) A range of 500–600 km is the best choice for BEVs in northern China, considering the range and low carbon requirement at low temperatures. Reliable data references for automobile manufacturers and policy decision-makers are provided to promote BEVs' sustainable development and policy formulation science.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"197 ","pages":"Article 107044"},"PeriodicalIF":6.9,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}