3篇
您的检索式：作者名="FENG Xingjie"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Preparation and Characterization of Mg/Al/Fe Hydrotalcite with Superb Absorption Capacity toward Congo Red显示文摘Mg/Al/Fe layered double hydroxide(MAF-LDH1) was prepared by solvothermal method with the sodium dodecyl sulfate as the template, and the ethanol system was benefit to growth of sample. The nature in the resulting MAF-LDH was investigated by X-ray diffraction, field emission scanning electron microscopy, Fourier transformed infrared spectra, thermogravimetric analysis, and N2 adsorption-desorption.The morphology of MAF-LDH1 is petal-like with the size of 400-500 nm and the thickness about 10-20 nm. The adsorption performance of the samples was evaluated by absorption of the Congo red(CR) solutions. Compared with Mg/Al layered double hydroxide(MA-LDH), the maximum adsorption capacities of the MAF-LDH1 samples were 943.4 mg/g which was greatly enhanced. Furthermore, after seven cycling tests, the adsorption performance was still up to 90%. Theoretical calculation results revealed that the adsorption process was spontaneous and followed the pseudo-second-order kinetic model and Freundlich model. This work provides a promising alternative strategy to enhance the adsorptive properties of hydrotalcite-like materials. | 杨凯 杜毅 沈洁 Lü Xingjie LI Zhongfu CHEN Zhongtao FENG Yibing DU Minxing ZHU Chaofeng | 2019 | Journal of Wuhan University of Technology(Materials Science)2019，34，4： | 2 |
| 2 | General Diagnostic Framework Based on Non-axiomatic Logic for Aviation Safety Event Analysis显示文摘To achieve causality reasoning of aviation safety events based on big data of cross-media network,a data-driven general diagnostic framework based on nonaxiomatic logic is designed and implemented.On the basis of this framework,the uncertain causality between aviation safety events and faults is expressed in the form of binary non-axiomatic incident experience at first.A general expression for calculating the attribution and confidence degrees in the non-axiomatic incident experience is given based on records of aviation safety historical incident.A concept of non-axiomatic incident experience graph is proposed,a diagnosis algorithm for aviation safety events is given with the combination of revision and deduction rules in non-axiomatic logic.Experimental results of a Version 1.0 beta demo show that this framework can effectively diagnose all potential faults according to aviation safety events;compared with other machine learning frameworks,it has higher reliability(especially scalability)under the premise of ensuring diagnosis accuracy. | JIANG Yang WANG Hong FENG Xingjie | 2019 | Chinese Journal of Electronics2019，28，6： | 0 |
| 3 | Disentangling land model uncertainty via Matrix-based Ensemble Model Inter-comparison Platform(MEMIP)显示文摘Background:Large uncertainty in modeling land carbon(C)uptake heavily impedes the accurate prediction of the global C budget.Identifying the uncertainty sources among models is crucial for model improvement yet has been difficult due to multiple feedbacks within Earth System Models(ESMs).Here we present a Matrix-based Ensemble Model Inter-comparison Platform(MEMIP)under a unified model traceability framework to evaluate multiple soil organic carbon(SOC)models.Using the MEMIP,we analyzed how the vertically resolved soil biogeochemistry structure influences SOC prediction in two soil organic matter(SOM)models.By comparing the model outputs from the C-only and CN modes,the SOC differences contributed by individual processes and N feedback between vegetation and soil were explicitly disentangled.Results:Results showed that the multi-layer models with a vertically resolved structure predicted significantly higher SOC than the single layer models over the historical simulation(1900–2000).The SOC difference between the multi-layer models was remarkably higher than between the single-layer models.Traceability analysis indicated that over 80%of the SOC increase in the multi-layer models was contributed by the incorporation of depth-related processes,while SOC differences were similarly contributed by the processes and N feedback between models with the same soil depth representation.Conclusions:The output suggested that feedback is a non-negligible contributor to the inter-model difference of SOC prediction,especially between models with similar process representation.Further analysis with TRENDY v7 and more extensive MEMIP outputs illustrated the potential important role of multi-layer structure to enlarge the current ensemble spread and the necessity of more detail model decomposition to fully disentangle inter-model differences.We stressed the importance of analyzing ensemble outputs from the fundamental model structures,and holding a holistic view in understanding the ensemble uncertainty. | Cuijuan Liao Yizhao Chen Jingmeng Wang Yishuang Liang Yansong Huang Zhongyi Lin Xingjie Lu Yuanyuan Huang Feng Tao Danica Lombardozzi Almut Arneth Daniel SGoll Atul Jain Stephen Sitch Yanluan Lin Wei Xue Xiaomeng Huang Yiqi Luo | 2022 | Ecological Processes2022，11，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员