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| 1 | Highly efficient Cu/anatase TiO2 {001}-nanosheets catalysts for methanol synthesis from CO2显示文摘Anatase TiO_2 nanosheets(-ns-) with dominant exposed {001} facets were used as support to load copper,and the synthesized Cu/TiO_2-ns catalysts were evaluated for CO_2 hydrogenation to methanol. Under the reaction conditions, P = 3.0 MPa, T = 260 ℃, V(N_2):V(H_2):V(CO_2) = 8:69:23 and gas hourly space velocity(GHSV) = 3600 mL g^(-1)h^(-1), the methanol yield reached an appealing high value, 5.6%. Copper-loading amount, calcination temperature and reduction atmosphere have been investigated in this work, which significantly influence the particle sizes of copper and/or the defect concentration in TiO_2, then leading to different catalytic performance. Characterizations of XRD, EPR, CO_2-TPD and FTIR demonstrate that higher specific surface area of Cu is good for the hydrogenation of CO_2 and adequate amount of Ti^(3+) plays important roles in CO_2 activation. Both of them facilitate high turnover frequency(TOF) of methanol formation. | Yunfeng Bao Chunlei Huang Limin Chen Yu dong Zhang Long Liang Jinjun Wen Mingli Fu Junliang Wu Daiqi Ye | 2018 | Journal of Energy Chemistry2018，27，2： | 7 |
| 2 | Evaluating Suitability of Multiple Precipitation Products for the Lancang River Basin显示文摘Global reanalysis precipitation products could provide valuable meteorological information for flow forecasting in poorly gauged areas, helping to overcome a long-standing challenge in the field. But not all data sources are suitable for all regions or perform the same way in hydrological modeling, so it is essential to test the suitability of precipitation products before applying them. In this study, five widely used global high-resolution precipitation products—Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation of Water Resources(APHRODITE), National Centers for Environmental Prediction Climate Forecast System Reanalysis(NCEP-CFSR), Climate Hazards Group InfraRed Precipitation with Station Data(CHIRPS), China Gauge-based Daily Precipitation Analysis developed by China Meteorological Administration(CMA) and Agricultural Model Intercomparison and Improvement Project based on the NASA Modern-Era Retrospective Analysis for Research and Applications(AgMERRA)—were evaluated using statistical methods and a hydrological approach for their suitability for the Lancang River Basin. The results indicated that APHRODITE, CMA, AgMERRA and CHIRPS were more accurate precipitation indicators than NCEP-CFSR in terms of the multiyear average and seasonal spatial distribution pattern, all of the CHIRPS, Ag MERRA and APHRODITE perform better than CMA and NCEP-CFSR at the small, medium and high precipitation intensities ranges in subbasin11 and sunbabsin46. All five products performed better in subbasin46(a low-altitude region) than in subbasin11(a high-altitude region) on the daily and monthly scales. In addition to NCEP-CFSR, the other four products all presented encouraging potential for streamflow simulation at daily(Yunjinghong) and monthly(Yunjinghong, Jiuzhou and Gajiu) scale. Hydrological simulations forced with APHRODITE were the best of the five for the Yunjinghong station in capturing daily and monthly measured streamflow. Except for NCEP-CFSR, all products were very good for hydrological simulations for the Gajiu and Jiuzhou stations. | TANG Xiongpeng ZHANG Jianyun WANG Guoqing YANG Qinli YANG Yanqing GUAN Ti-esheng LIU Cuishan JIN Junliang LIU Yanli BAO Zhenxin | 2019 | Chinese Geographical Science2019，29，1： | 5 |
| 3 | Fog-IBDIS:Industrial Big Data Integration and Sharing with Fog Computing for Manufacturing Systems显示文摘Industrial big data integration and sharing(IBDIS)is of great significance in managing and providing data for big data analysis in manufacturing systems.A novel fog-computing-based IBDIS approach called Fog-IBDIS is proposed in order to integrate and share industrial big data with high raw data security and low network traffic loads by moving the integration task from the cloud to the edge of networks.First,a task flow graph(TFG)is designed to model the data analysis process.The TFG is composed of several tasks,which are executed by the data owners through the Fog-IBDIS platform in order to protect raw data privacy.Second,the function of Fog-IBDIS to enable data integration and sharing is presented in five modules:TFG management,compilation and running control,the data integration model,the basic algorithm library,and the management component.Finally,a case study is presented to illustrate the implementation of Fog-IBDIS,which ensures raw data security by deploying the analysis tasks executed by the data generators,and eases the network traffic load by greatly reducing the volume of transmitted data. | Junliang Wang Peng Zheng Youlong Lv Jingsong Bao Jie Zhang | 2019 | Engineering2019，5，4： | 2 |
| 4 | On-farm evaluation of an in-season nitrogen management strategy based on soil N min test显示文摘 | Zhenling Cui Fusuo Zhang Xinping Chen Yuxin Miao Junliang Li Liwei Shi Jiufei Xu Youliang Ye Chunsheng Liu Zhiping Yang Qiang zhang Shaomin Huang Dejun Bao | 2007 | Field Crops Research2007，，1： | 1 |
| 5 | On-farm evaluation of an in-season nitrogen management strategy based on soil N min test显示文摘 | Zhenling Cui Fusuo Zhang Xinping Chen Yuxin Miao Junliang Li Liwei Shi Jiufei Xu Youliang Ye Chunsheng Liu Zhiping Yang Qiang zhang Shaomin Huang Dejun Bao | 2007 | Field Crops Research2007，，1： | 1 |
| 6 | Attribution for decreasing streamflow of the Haihe River basin, northern China: Climate variability or human activities?显示文摘 | Zhenxin Bao Jianyun Zhang Guoqing Wang Guobin Fu Ruimin He Xiaolin Yan Junliang Jin Yanli Liu Aijing Zhang | 2012 | Journal of Hydrology2012，，： | 1 |
| 7 | On-farm estimation of indigenous nitrogen supply for site-specific nitrogen management in the North China plain显示文摘 | Zhenling Cui Fusuo Zhang Xinping Chen Yuxin Miao Junliang Li Liwei Shi Jiufei Xu Youliang Ye Chunsheng Liu Zhiping Yang Qiang Zhang Shaomin Huang Dejun Bao | 2008 | Nutrient Cycling in Agroecosystems2008，，1： | 1 |
| 8 | Comparison of regionalization approaches based on regression and similarity for predictions in ungauged catchments under multiple hydro-climatic conditions显示文摘 | Zhenxin Bao Jianyun Zhang Jiufu Liu Guobin Fu Guoqing Wang Ruimin He Xiaolin Yan Junliang Jin Hongwei Liu | 2012 | Journal of Hydrology2012，，： | 1 |
| 9 | Effects of vitamin A on the milk performance, antioxidant functions and immune functions of dairy cows显示文摘 | Lu Jin Sumei Yan Binlin Shi Hongyun Bao Jian Gong Xiaoyu Guo Junliang Li | 2014 | Animal Feed Science and Technology2014，，： | 1 |
| 10 | 气象水文集合预报的多源不确定性影响评估研究显示文摘评估复杂水文预报的来源不确定性对于深刻理解和改进水文预报精度至关重要,以往研究较少关注多源不确定性对气象水文预报复杂过程的影响。本研究提出了一种通用的基于贝叶斯模型平均(BMA)的集合框架,用于评估多源不确定性对气象水文预报全过程的影响。采用TIGGE中心的八种数值天气预报产品,四种完全不同结构的水文模型和1000组参数分别考虑来自输入、结构和参数的不确定性。在中国金溪池潭流域的实际应用表明:气象水文预报中数值预报输入的不确定性比水文模型的不确定性更大,水文模型结构的不确定性则明显大于模型参数的不确定性。洪峰流量预报的精度与数值天气预报的精度紧密相关,水文模型结构和参数及其交互作用则是枯水期流量预报的主要不确定性来源。当同时考虑三种不确定性来源时,径流过程预报精度更高。通过考虑复杂预报过程的主要不确定性源,基于BMA集合预报的预测精度更高,并可降低其他因素带来的不确定性。本文提出的多源不确定性评估框架可以较好地提升对气象水文预报过程的理解,在提高复杂水文预报精度方面具有广阔的应用前景。 | Zhangkang Shu Jianyun Zhang Lin Wang Junliang Jin Ningbo Cui Guoqing Wang Zhouliang Sun Yanli Liu Zhenxin Bao Cuishan Liu | 2023 | Engineering2023，，5： | 0 |
| 11 | Learning semantic-specific visual representation for laser welding penetration status recognition显示文摘The degree of penetration can directly reflect the forming quality of laser welding. The fine-grained feature of the molten pool/keyhole image brings challenges to the vision-based laser welding penetration status recognition. In this paper, a novel knowledge-and-data-hybrid driven recognition model is proposed for solving the problem of difficult learning of discriminative visual features of molten pool/keyhole images. In addition, a label semantic attention mechanism(LSA) is designed with three modules: representation of image visual feature, representation of labels semantic feature, and generation of label semantic attention. For learning discriminative features in visual space, LSA uses discriminative information in label semantics to guide the convolutional neural network. The experimental results show that the proposed LSA method has faster convergence and higher accuracy than the traditional attention mechanism. Further comparative experiments reveal that LSA is less dependent on the amount of training data and model complexity. The results of visualization experiments show that the visual features learned by the proposed method are more discriminative. | LIU TianYuan BAO JinSong ZHENG HangBin WANG JunLiang YANG ChangQi GU Jun | 2022 | Science China(Technological Sciences)2022，65，2： | 0 |
| 12 | A method for coastal oil tank detection in polarimetric SAR images based on recognition of T-shaped harbor显示文摘To automatically detect oil tanks in polarimetric synthetic aperture radar(SAR) images, a coastal oil tank detection method is proposed based on recognition of T-shaped harbor. First of all, the T-shaped harbor is detected to locate the region of interest(ROI) of oil tanks. Then all suspicious targets in the ROI are extracted by the segmentation of strong scattering targets and the classifier of H/α. The template targets are selected from the suspicious targets by the combination of a proposed circular degree parameter and the similarity parameter(SP) of the polarimetric coherency matrix. Finally, oil tanks are detected according to the statistics of the similarity parameter between each suspicious target and template targets in ROI. Polarimetric SAR data acquired by RADARSAT-2 over Berkeley and Singapore areas are used for testing. Experiment results show that most of the targets are correctly detected and the overall detection rate is close to 80%.The false rate is effectively reduced by the proposed algorithm compared with the method without T-shaped harbor recognition. | LIU Chun XIE Chunhua YANG Jian XIAO Yingying BAO Junliang | 2018 | Journal of Systems Engineering and Electronics2018，29，3： | 0 |
| 13 | Structural characteristics of continental carbonate-rich shale and shale oil movability: A case study of the Paleogene Shahejie Formation shale in Jiyang Depression, Bohai Bay Basin, China显示文摘Based on rock mineral and geochemical analysis, microscopic observation, physical property measurement, and thin laminae separation test, etc., the characteristics of typical laminae of the Paleogene Shahejie Formation carbonate-rich shale in the Jiyang Depression were analyzed, and the organic matter abundance, reservoir properties, and oil-bearing properties of different laminae were compared. Typical shale storage-seepage structures were classified, and the mobility of oil in different types of shale storage-seepage structure was compared. The results show that the repeated superposition of mud laminae and calcite laminae are the main layer structure of carbonate-rich shales. The calcite laminae are divided into micritic calcite laminae, sparry calcite laminae and fibrous calcite vein. The mud-rich laminae are the main contributor to the organic matter abundance and porosity of shale, with the best hydrocarbon generation potential, reservoir capacity, and oil-bearing property. The micritic calcite laminae also have relatively good hydrocarbon generation potential, reservoir capacity and oil-bearing property. The sparry calcite laminae and fibrous calcite vein have good permeability and conductivity. Four types of shale storage-seepage structure are developed in the carbonate-rich shale, and the mobility of oil in each type of storage-seepage structure is in descending order: sparry calcite laminae enriched shale storage-seepage structure, mixed calcite laminae enriched shale storage-seepage structure, fibrous calcite vein enriched shale storage-seepage structure, and micritic calcite laminae enriched shale storage-seepage structure. The exploration targets of carbonate-rich shale in the Jiyang Depression Shahejie Formation are different in terms of storage-seepage structure at different thermal evolution stages. | LIU Huimin BAO Youshu ZHANG Shouchun LI Zheng LI Junliang WANG Xuejun WU Lianbo WANG Yong WANG Weiqing ZHU Rifang ZHANG Shun WANG Xin | 2023 | Petroleum Exploration and Development2023，50，6： | 0 |
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