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Bioinspired and biomimetic membranes for water purification and chemical separation: A review

《环境科学与工程前沿（英文）》 2021年 第15卷 第6期 doi: 10.1007/s11783-021-1412-8

摘要：

•The history of biological and artificial water channels is reviewed.

关键词： Aquaporins     Artificial water channels     Biomimetic membranes     Chemical separation and water purification    

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Electroconductive RGO-MXene membranes with wettability-regulated channels: improved water permeability

《环境科学与工程前沿（英文）》 2023年 第17卷 第1期 doi: 10.1007/s11783-023-1601-8

摘要：

● Electroconductive RGO-MXene membranes were fabricated.

关键词： Reduced graphene oxide     MXene     Membrane     Water permeance     Dye rejection     Electro-assistance    

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Wastewater treatment meets artificial photosynthesis: Solar to green fuel production, water remediation

《环境科学与工程前沿（英文）》 2022年 第16卷 第4期 doi: 10.1007/s11783-022-1536-5

摘要：

• Mitigating energy utilization and carbon emission is urgent for wastewater treatment.

关键词： Wastewater treatment     Artificial photosynthesis     Microbial photoelectrochemical (MPEC) system     Carbon neutral     Renewable energy    

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Visible light responsive photocatalysts developed by substitution with metal cations aiming at artificial

《能源前沿（英文）》 2021年 第15卷 第3期   页码 568-576 doi: 10.1007/s11708-021-0774-8

摘要： To solve resource, energy, and environmental issues, development of sustainable clean energy system is strongly required. In recent years, hydrogen has been paid much attention to as a clean energy. Solar hydrogen production by water splitting using a photocatalyst as artificial photosynthesis is a promising method to solve these issues. Efficient utilization of visible light comprised of solar light is essential for practical use. Three strategies, i.e., doping, control of valence band, and formation of solid solution are often utilized as the useful methods to develop visible light responsive photocatalysts. This mini-review introduces the recent work on visible-light-driven photocatalysts developed by substitution with metal cations of those strategies.

关键词： visible light responsive photocatalyst     water splitting     artificial photosynthesis: metal ion substitution    

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Ga(X)N/Si nanoarchitecture: An emerging semiconductor platform for sunlight-powered water splitting toward

《能源前沿（英文）》 doi: 10.1007/s11708-023-0881-9

摘要： Sunlight-powered water splitting presents a promising strategy for converting intermittent and virtually unlimited solar energy into energy-dense and storable green hydrogen. Since the pioneering discovery by Honda and Fujishima, considerable efforts have been made in this research area. Among various materials developed, Ga(X)N/Si (X = In, Ge, Mg, etc.) nanoarchitecture has emerged as a disruptive semiconductor platform to split water toward hydrogen by sunlight. This paper introduces the characteristics, properties, and growth/synthesis/fabrication methods of Ga(X)N/Si nanoarchitecture, primarily focusing on explaining the suitability as an ideal platform for sunlight-powered water splitting toward green hydrogen fuel. In addition, it exclusively summarizes the recent progress and development of Ga(X)N/Si nanoarchitecture for photocatalytic and photoelectrochemical water splitting. Moreover, it describes the challenges and prospects of artificial photosynthesis integrated device and system using Ga(X)N/Si nanoarchitectures for solar water splitting toward hydrogen.

关键词： Ga(X)N/Si nanoarchitecture     artificial photosynthesis     water splitting     solar toward hydrogen    

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Incorporation of 3-dimensional lycopodium with hydrophobic nature and interconnected nano-channels into

《化学科学与工程前沿（英文）》 2023年 第17卷 第9期   页码 1162-1182 doi: 10.1007/s11705-022-2276-6

摘要： In the present research, for the first time, lycopodium as a novel nanofiller was incorporated into a polyvinylidene fluoride matrix to fabricate lycopodium/polyvinylidene fluoride flat-sheet membrane for desalination applications by vacuum membrane distillation process. The prepared lycopodium/polyvinylidene fluoride membranes and lycopodium were characterized by field emission scanning electron microscopy, X-ray diffraction, Fourier transform infrared, energy dispersive X-ray, and mapping analyses. Water contact angle and liquid entry pressure measurements were also performed. Response surface methodology was applied to optimize membrane structure and performance. The optimized lycopodium/polyvinylidene fluoride membrane exhibits superior performance compared to the neat polyvinylidene fluoride membrane in terms of flux, salt rejection, water contact angle, and hydrophobicity. In vacuum membrane distillation experiments, using a 15000 ppm NaCl solution as a feed at 70 °C, the neat polyvinylidene fluoride membrane, optimum membrane, and agglomerated membrane (with high lycopodium loading) demonstrated 3.80, 25.20, and 14.83 LMH flux and 63.30%, 99.99%, 99.96% salt rejection, respectively. This improvement in flux and salt rejection of the optimized membrane was related to the presence of lycopodium with hydrophobic nature and interconnected nano-channels in membrane structure. It was found that lycopodium, as the most hydrophobic material, effectively influences the membrane performance and structure for membrane distillation applications.

关键词： lycopodium     hydrophobicity     vacuum membrane distillation     desalination    

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Determination of the principal factors of river water quality through cluster analysis method and its

Liang GUO, Ying ZHAO, Peng WANG

《环境科学与工程前沿（英文）》 2012年 第6卷 第2期   页码 238-245 doi: 10.1007/s11783-011-0382-7

摘要： In this paper, an artificial neural network model was built to predict the Chemical Oxygen Demand (COD ) measured by permanganate index in Songhua River. To enhance the prediction accuracy, principal factors were determined through the analysis of the weight relation between influencing factors and forecasting object using cluster analysis method, which optimized the topological structure of the prediction model input items of the artificial neural network. It was shown that application of the principal factors in water quality prediction model can improve its forecasting skill significantly through the comparison between results of prediction by artificial neural network and the measurements of the COD . This methodology is also applicable to various water quality prediction targets of other water bodies and it is valuable for theoretical study and practical application.

关键词： water quality forecast     principal factor     cluster analysis method     artificial neural network    

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Shear stress distribution prediction in symmetric compound channels using data mining and machine learning

Zohreh SHEIKH KHOZANI, Khabat KHOSRAVI, Mohammadamin TORABI, Amir MOSAVI, Bahram REZAEI, Timon RABCZUK

《结构与土木工程前沿（英文）》 2020年 第14卷 第5期   页码 1097-1109 doi: 10.1007/s11709-020-0634-3

摘要： Shear stress distribution prediction in open channels is of utmost importance in hydraulic structural engineering as it directly affects the design of stable channels. In this study, at first, a series of experimental tests were conducted to assess the shear stress distribution in prismatic compound channels. The shear stress values around the whole wetted perimeter were measured in the compound channel with different floodplain widths also in different flow depths in subcritical and supercritical conditions. A set of, data mining and machine learning algorithms including Random Forest (RF), M5P, Random Committee, KStar and Additive Regression implemented on attained data to predict the shear stress distribution in the compound channel. Results indicated among these five models; RF method indicated the most precise results with the highest value of 0.9. Finally, the most powerful data mining method which studied in this research compared with two well-known analytical models of Shiono and Knight method (SKM) and Shannon method to acquire the proposed model functioning in predicting the shear stress distribution. The results showed that the RF model has the best prediction performance compared to SKM and Shannon models.

关键词： compound channel     machine learning     SKM model     shear stress distribution     data mining models    

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中国载人航天“飞船起步”的战略思考

赵少奎

《中国工程科学》 2004年 第6卷 第2期   页码 8-12

摘要：

对我国载人航天的概念研究、技术途径论证，以及中国载人航天发展的战略思考和“飞船起步”的决策过程进行了分析与小结,提出了我国发展现代宏大工程应站在国家发展的全局上进行深层次的战略思考。

关键词： 中国载人航天     飞船     技术途径     战略思考    

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Removal of trimethoprim and sulfamethoxazole in artificial composite soil treatment systems and diversity

Qinqin Liu, Miao Li, Rui Liu, Quan Zhang, Di Wu, Danni Zhu, Xuhui Shen, Chuanping Feng, Fawang Zhang, Xiang Liu

《环境科学与工程前沿（英文）》 2019年 第13卷 第2期 doi: 10.1007/s11783-019-1112-9

摘要：

• Novel ACST allowed biodegradation to effectively remove adsorbed SMX and TMP.

• Ammonia and nitrite were efficiently removed in ACSTs and water quality was improved.

关键词： Trimethoprim     Sulfamethoxazole     Reclaimed water     Biodegradation     Aerobic nitrification     Microbial community    

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面向未来饮用水净化的OSRO技术——基于河岸过滤的一步反渗透技术 Perspective

Yujia Zhai, 刘刚, Walter G.J. van der Meer

《工程（英文）》 2022年 第9卷 第2期   页码 27-34 doi: 10.1016/j.eng.2021.02.015

摘要： 人工滤池（artificial bank filtration, ABF）与砂滤系统相结合，起到人工补给的作用，是OSRO概念中RBF的替代方案，用于从当地可用资源中供应饮用水。

关键词： 饮用水处理     河岸过滤     反渗透     人工滤池     水资源回收和再利用    

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Applications of traditional pump design theory to artificial heart and CFD simulation

WANG Yingpeng, SONG Xinwei, YING Chuntong

《能源前沿（英文）》 2008年 第2卷 第4期   页码 504-507 doi: 10.1007/s11708-008-0059-5

摘要： A novel heart pump model was obtained by improving the traditional axial pump design theory with the consideration of working and hydraulic situations for artificial hearts. The pump head range and the velocity triangle were introduced and an iterative approach was utilized for the initial model. Moreover, computational fluid dynamics (CFD) simulations were performed to determine relevant model parameters. The results show that this procedure can be used for designing a series of high-efficiency artificial heart pumps.

关键词： computational     high-efficiency artificial     iterative approach     artificial     traditional    

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Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model

《环境科学与工程前沿（英文）》 2023年 第17卷 第8期 doi: 10.1007/s11783-023-1698-9

摘要：

● Data acquisition and pre-processing for wastewater treatment were summarized.

关键词： Chemical oxygen demand     Mining-beneficiation wastewater treatment     Particle swarm optimization     Support vector regression     Artificial neural network    

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INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

《农业科学与工程前沿（英文）》 2023年 第10卷 第4期   页码 648-653 doi: 10.15302/J-FASE-2023505

摘要：

Enhancement of farming management relies heavily on enhancing farmer knowledge. In the past, both the direct learning approach and the personnel extension system for improving fertilization practices of smallholders has proven insufficiently effective. Therefore, this article proposes an interactive knowledge learning approach using artificial intelligence as a promising alternative. The system consists of two parts. The first is a dialog interface that accepts information from farmers about their current farming practices. The second part is an intelligent decision system, which categorizes the information provided by farmers in two categories. The first consists of on-farm constraints, such as fertilizer resources, split application times and seasons. The second comprises knowledge-based practices by farmers, such as nutrient in- and output balance, ratios of different nutrients and the ratios of each split nutrient amount to the total nutrient input. The interactive knowledge learning approach aims to identify and rectify incorrect practices in the knowledge-based category while considering the farmer’s available finance, labor, and fertilizer resources. Investigations show that the interactive knowledge learning approach can make a strong contribution to prevention of the overuse of nitrogen and phosphorus fertilizers, and mitigating agricultural non-point source pollution.

关键词： artificial intelligence     extension system     non-point source pollution control     smallholders     fertilization    

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Optimization and modeling of coagulation-flocculation to remove algae and organic matter from surface water

Ziming Zhao, Wenjun Sun, Madhumita B. Ray, Ajay K Ray, Tianyin Huang, Jiabin Chen

《环境科学与工程前沿（英文）》 2019年 第13卷 第5期 doi: 10.1007/s11783-019-1159-7

摘要： Charge neutralization and sweep flocculation were the major mechanisms. Effect of process parameters was investigated. Optimal coagulation conditions were studied by response surface methodology. ANN models presented more robust and accurate prediction than RSM. Seasonal algal blooms of Lake Yangcheng highlight the necessity to develop an effective and optimal water treatment process to enhance the removal of algae and dissolved organic matter (DOM). In the present study, the coagulation performance for the removal of algae, turbidity, dissolved organic carbon (DOC) and ultraviolet absorbance at 254 nm (UV254) was investigated systematically by central composite design (CCD) using response surface methodology (RSM). The regression models were developed to illustrate the relationships between coagulation performance and experimental variables. Analysis of variance (ANOVA) was performed to test the significance of the response surface models. It can be concluded that the major mechanisms of coagulation to remove algae and DOM were charge neutralization and sweep flocculation at a pH range of 4.66–6.34. The optimal coagulation conditions with coagulant dosage of 7.57 mg Al/L, pH of 5.42 and initial algal cell density of 3.83 × 106 cell/mL led to removal of 96.76%, 97.64%, 40.23% and 30.12% in term of cell density, turbidity, DOC and UV254 absorbance, respectively, which were in good agreement with the validation experimental results. A comparison between the modeling results derived through both ANOVA and artificial neural networks (ANN) based on experimental data showed a high correlation coefficient, which indicated that the models were significant and fitted well with experimental results. The results proposed a valuable reference for the treatment of algae-laden surface water in practical application by the optimal coagulation-flocculation process.

关键词： Algae     Coagulation-flocculation     Response surface methodology     Artificial neural networks    

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标题 作者 时间 类型 操作

Bioinspired and biomimetic membranes for water purification and chemical separation: A review

期刊论文

Electroconductive RGO-MXene membranes with wettability-regulated channels: improved water permeability

期刊论文

Wastewater treatment meets artificial photosynthesis: Solar to green fuel production, water remediation

期刊论文

Visible light responsive photocatalysts developed by substitution with metal cations aiming at artificial

期刊论文

Ga(X)N/Si nanoarchitecture: An emerging semiconductor platform for sunlight-powered water splitting toward

期刊论文

Incorporation of 3-dimensional lycopodium with hydrophobic nature and interconnected nano-channels into

期刊论文

Determination of the principal factors of river water quality through cluster analysis method and its

Liang GUO, Ying ZHAO, Peng WANG

期刊论文

Shear stress distribution prediction in symmetric compound channels using data mining and machine learning

Zohreh SHEIKH KHOZANI, Khabat KHOSRAVI, Mohammadamin TORABI, Amir MOSAVI, Bahram REZAEI, Timon RABCZUK

期刊论文

中国载人航天“飞船起步”的战略思考

赵少奎

期刊论文

Removal of trimethoprim and sulfamethoxazole in artificial composite soil treatment systems and diversity

Qinqin Liu, Miao Li, Rui Liu, Quan Zhang, Di Wu, Danni Zhu, Xuhui Shen, Chuanping Feng, Fawang Zhang, Xiang Liu

期刊论文

面向未来饮用水净化的OSRO技术——基于河岸过滤的一步反渗透技术

Yujia Zhai, 刘刚, Walter G.J. van der Meer

期刊论文

Applications of traditional pump design theory to artificial heart and CFD simulation

WANG Yingpeng, SONG Xinwei, YING Chuntong

期刊论文

Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model

期刊论文

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

期刊论文

Optimization and modeling of coagulation-flocculation to remove algae and organic matter from surface water

Ziming Zhao, Wenjun Sun, Madhumita B. Ray, Ajay K Ray, Tianyin Huang, Jiabin Chen

期刊论文