Wenbo Zhang

Chinese Academy of Agricultural Sciences

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Limin Geng

Chang'an University

Morihiko Tokumoto

Shinshu University

Fengyu Sun

Southwest Petroleum University

Takashi Takeda

National Institute for Materials Science

Zhenhua Ji

Lianyungang Oriental Hospital

Koh Yasue

Shinshu University

Bin Mu

Lanzhou Institute of Chemical Physics

Ziye Zhang

Chang'an University

Libang Ma

Northwest Normal University

Chengyu Wang

Northeast Forestry University

Cooperative Institutions

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Central South University

Peking University

Harbin Institute of Technology

Zhejiang University

Shanghai Jiao Tong University

Chinese Academy of Agricultural Sciences

University of Science and Technology of China

Chang'an University

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The Measurement of Vegetation Coverage and the Analysis of Seasonal Change in Beijing

Yaogan jishu yu yingyong (2014)

Shi Shilian Wenbo Zhang Guoyan Wang

10.11873/j.issn.1004-0323.2014.5.0866

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Citations (1)

Research on water quality prediction based on PE-CNN-GRU hybrid model

E3S Web of Conferences (2023)

Langlang Zhang Jun Xie Xinxiu Liu Wenbo Zhang Pan Geng

Sewage treatment is a complex and nonlinear process. In this paper, a prediction method based on convolutional neural network (CNN) and gated recurrent unit (GRU) hybrid neural network is proposed for the prediction of dissolved oxygen concentration in sewage treatment. Firstly, akima 's method is used to complete the filling preprocessing of missing data, and then the integrated empirical mode decomposition (EEMD) algorithm is used to denoise the key factors of water quality data. Pearson correlation analysis is used to select better water quality parameters as the input of the model. Then, CNN is used to convolve the data sequence to extract the feature components of sewage data. Then, the CNN-GRU hybrid network is used to extract the feature components for sequence prediction, and then the predicted output value is obtained. The mean absolute error (MAE), root mean square error (RMSE) and mean square error (MSE) were used as evaluation criteria to analyze the prediction results of the model. By comparing with RNN model, LSTM model, GRU model and CNN-LSTM model, the results show that the PCA-EEMD-CNN-GRU (PE-CNN-GRU) hybrid model proposed in this paper has significantly improved the prediction accuracy of dissolved oxygen concentration.

Data pre-processing

Feature (linguistics)

10.1051/e3sconf/202339302014

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Feasibility study on using excavated soil and rock to sintering utilization

Circular Economy (2022)

Jing Bai Kang Peng Wenbo Zhang Kunyang Chen Yu Zhang

Urban construction, especially the ongoing large-scale expansion and utilization of underground space, has resulted in massive excavated soil and rock (ESR) from buildings and subways. Therefore, this study aims to explore the technical ways of ESR sintering utilization from the perspective of technology, environment, and policy through qualitative and quantitative methods. The study analyzes the soil properties and distribution of different depths, and the annual production of clay-rich ESR accounts for about 30 million m³ in Shenzhen. More importantly, the comparison between various pollutant concentrations of ESR in Shenzhen and local soil background values showed that the ESR in Shenzhen had no environmental risks. This study can not only provide a scientific basis for ESR as the raw material of sintering but also provide a theoretical basis for the promotion of the pilot of "Zero waste city".

10.1016/j.cec.2022.100007

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Citations (16)

Scratching of SiC ceramics at two dimensional pre-stressing

International Journal of Nanomanufacturing (2017)

Gaofeng Zhang Yijiang Zeng Wenbo Zhang

A stress field model was built to study the effects of pre-stressing value, normal and tangential load on the three principal stresses and maximum shear stress when the silicon carbide (SiC) ceramics were scratched under two dimensional pre-stressing, and the scratching tests of SiC ceramic were conducted by using a Rockwell diamond indenter at different pre-stress values and normal loads. Scratching induced damage was assessed and characterised via destructive inspection techniques and progressive lapping techniques combined with the digital microscope. Acoustic emission (AE) technology was also used for the online monitoring of the damage. The results showed that, for a given scratching load, the amplitude of AE signals was reduced as the pre-stress values increasing, and surface/subsurface damage of SiC ceramics induced by two dimensional pre-stress scratching was less than that by conventional scratching. So one can believe that the two dimensional pre-stress method can contribute to decreasing the machining damage of brittle materials.

Scratching

Brittleness

Lapping

Acoustic Emission

10.1504/ijnm.2017.085117

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Citations (1)

Selective hydrogenation of cinnamaldehyde with Ni Fe1-Al2O4+ composite oxides supported Pt catalysts: C O versus C C selectivity switch by varying the Ni/Fe molar ratios

Journal of Catalysis (2020)

Huiyue Xin Wenbo Zhang Xixi Xiao Li Chen Peng Wu

Cinnamyl alcohol

10.1016/j.jcat.2020.11.036

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Citations (43)

Evolution and simulation optimization of rural settlements in urban-rural integration areas from a multi-gradient perspective: A case study of the Lan-Bai urban agglomeration in China

Habitat International (2024)

Libang Ma Jieyu Li Xiang Wang Wenbo Zhang Tianmin Tao

Urban agglomeration

Human settlement

10.1016/j.habitatint.2024.103203

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Citations (3)

Enhancing lithium-ion battery pack safety: Mitigating thermal runaway with high-energy storage inorganic hydrated salt/expanded graphite composite

Journal of Energy Storage (2024)

Sili Zhou Wenbo Zhang Shao Lin Ziye Ling Zhengguo Zhang

Thermal Runaway

Battery pack

10.1016/j.est.2024.112089

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Citations (5)

Preparing flake nanocelluloses with hydrophobic surface from the spent liquor of cellulose nanocrystals

Research Square (Research Square) (2024)

Jiebai Li Dongyan Liu Xilin Jia Guangguang Guan Wenbo Zhang

Abstract It is of great value to reuse of the dissolved carbohydrates from the spent liquor produced in the acid hydrolysis process of cellulose nanocrystals (CNCs). In the present study, a special flake-like nanocellulose crystals (FCNCs) were self-assembled from the dissolved cellulose chains with low molecular weight via a "bottom-up" approach. The average diameters of FCNCs were 712 nm, with thickness in the range of 3 ~ 3.5 nm. They exhibited superior thermal stability relative to CNCs. XRD characterization revealed that the FCNCs with the cellulose type II structure possessed the hydrophobic (110) plane as the exposed surface which endowed the material with relatively hydrophobic property. Confirmed by the contact angle tests, the water contact angle value of FCNCs film was as high as 72.0°, almost twofold of that of CNCs film.

Nanocellulose

Flake

Thermal Stability

10.21203/rs.3.rs-4649995/v1

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Citations (0)

Activated municipal wasted sludge biochar supported by nanoscale Fe/Cu composites for tetracycline removal from water

Process Safety and Environmental Protection (2019)

Juan Ma Baiqin Zhou Hong Zhang Wenbo Zhang Zhilong Wang

Environmentally Friendly

10.1016/j.cherd.2019.07.013

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