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| 1 | Extraction and Analysis of Gully Head of Loess Plateau in China Based on Digital Elevation Model显示文摘In China′s Loess Plateau area, gully head is the most active zone of a drainage system in gully areas. The differentiation of loess gully head follows geospatial patterns and reflects the process of the loess landform development and evolution of its drainage system to some extent. In this study, the geomorphic meaning, basic characteristics, morphological structure and the basic types of loess gully heads were systematically analysed. Then, the loess gully head′s conceptual model was established, and an extraction method based on Digital Elevation Model(DEM) for loess gully head features and elements was proposed. Through analysing the achieved statistics of loess gully head features, loess gully heads have apparently similar and different characteristics depending on the different loess landforms where they are found. The loess head characteristics reflect their growth period and evolution tendency to a certain degree, and they indirectly represent evolutionary mechanisms. In addition, the loess gully developmental stages and the evolutionary processes can be deduced by using loess gully head characteristics. This study is of great significance for development and improvement of the theoretical system for describing loess gully landforms. | ZHU Hongchun TANG Guoan QIAN Kejian LIU Haiying | 2014 | Chinese Geographical Science2014，24，3： | 16 |
| 2 | Influence of N on precipitation behavior,associated corrosion and mechanical properties of super austenitic stainless steel S32654显示文摘The influence of N on the precipitation behavior,associated corrosion,and mechanical properties of S32654 were investigated by microstructural,electrochemical,and mechanical analyses.Increasing the N content results in several alterations:(1) grain refinement,which promotes intergranular precipitation;(2) a linear increase in the driving force for Cr2 N and Mo activity,which accelerates the precipitation of intergranular Cr2 N and π phase,respectively;(3) a linear decrease in the driving force for σ phase and Cr activity,which suppresses the formation of intragranular σ phase.The total amount of precipitates first decreased and then increased with the N content increasing.Furthermore,the intergranular corrosion susceptibility depended substantially on the total amount of precipitates and also first exhibited a decreasing and then an increasing trend as the N content increased.In addition,aging precipitation caused a considerable decrement in the ultimate tensile strength(UTS) and a remarkable increment in the yield strength(YS).Both the UTS and YS always increased with N content increasing throughout the solution and aging process.Whereas the elongation was considerably sensitive to the aging treatment,it exhibited marginal variation with the N content increasing. | Shucai Zhang Huabing Li Zhouhua Jiang Zhixing Li Jingxi Wu Binbin Zhang Fei Duan Hao Feng Hongchun Zhu | 2020 | Journal of Materials Science & Technology2020，42，7： | 10 |
| 3 | Effect of nitrogen on corrosion behaviour of a novel high nitrogen medium-entropy alloy CrCoNiN manufactured by pressurized metallurgy显示文摘A novel high nitrogen medium-entropy alloy CrCoNiN, which had higher strength and slightly lower ductility than CrCoNi alloy, was successfully manufactured by pressurized metallurgy. The microstructure and corrosion behaviour were investigated by microscopic, electrochemical and spectroscopic methods.The results indicated that nitrogen existed in the form of Cr_2N precipitates and uniformly distributed N atoms, and nitrogen alloying significantly refined the grain size. Besides, nitrogen enriched on the outmost surface of passive film and metal/film interface as ammonia(NH-_3 and NH_4^+) and CrN, respectively. The significant improvement of corrosion resistance of CrCoNiN was attributed to the lower metastable pitting susceptibility together with thicker, less defective and more compact passive film. | Hao Feng Huabing Li Xiaolei Wu Zhouhua Jiang Si Zhao Tao Zhang Dake Xu Shucai Zhang Hongchun Zhu Binbin Zhang Muxin Yang | 2018 | Journal of Materials Science & Technology2018，34，10： | 8 |
| 4 | Scale characters analysis for gully structure in the watersheds of loess landforms based on digital elevation models显示文摘 | Hongchun ZHU Yipeng ZHAO Haiying LIU | 2018 | Frontiers of Earth Science2018，12，2： | 5 |
| 5 | Refinement mechanism of cerium addition on solidification structure and sigma phase of super austenitic stainless steel S32654显示文摘The influence of Ce addition on the solidification structure and σphase of super austenitic stainless steel S32654 was systematically investigated via microstructural characterization and thermodynamic calcula- tion. The results indicate that a small addition of Ce could modify MgO and MnS into Ce-bearing inclu- sions Ce_(2)O_(3)and Ce_(2)O_(2)S. Ce addition led to noticeable refinement of both the dendrite structure and σphase. The refinement mechanism could be attributed to the combined actions of effective Ce-bearing inclusions and solute Ce. Effective Ce-bearing inclusions could serve as heterogeneous nucleation cores of austenite as well as σphase, which provided a favorable prerequisite for their refinement. Solute Ce significantly enhanced the undercooling degree of the system, further promoting dendrite structure re- finement. Meanwhile, solute Ce improved the eutectic precipitation conditions of σphase and further promoted its nucleation, while the dendrite refinement limited its growth space. Finally, more fine and dispersed σphase particles formed in S32654 with Ce addition. The refinement of dendrite structure and σ phase will reduce the temperature and time required for high-temperature homogenization, which is beneficial to the hot working of this steel. | Shucai Zhang Jiangtao Yu Huabing Li Zhouhua Jiang Yifeng Geng Hao Feng Binbin Zhang Hongchun Zhu | 2022 | Journal of Materials Science & Technology2022，，7： | 3 |
| 6 | Interfacial compatibility issues in rechargeable solid-state lithium metal batteries:a review显示文摘Solid-state lithium metal batteries(SSLBs)contain various kinds of interfaces,among which the solid electrode|solid electrolyte(ED|SE)interface plays a decisive role in the battery's power density and cycling stability.However,it is still lack of comprehensive knowledge and understanding about various interfacial physical/chemical processes so far.Although tremendous efforts have been dedicated to investigate the origin of large interfacial resistance and sluggish charge(electron/ion)transfer process,many scientific and technological challenges still remain to be clarified.In this review,we detach and discuss the critical individual challenge,including charge transfer process,chemical and electrochemical instability,space charge layers,physical contact and mechanical instability.The fundamental concepts,individual effects on the charge transfer and potential solutions are summarized based on material's thermodynamics,electrode kinetics and mechanical effects.It is anticipated that future research should focus on quantitative analysis,modeling analysis and in-situ microstructure characterizations in order to obtain an efficient manipulation about the complex interfacial behaviors in all solid-state Li batteries. | Hongchun Wang Jianping Zhu Yu Su Zhengliang Gong Yong Yang | 2021 | Science China Chemistry2021，64，6： | 3 |
| 7 | Three Decades of Sea-Ice Variability in Jiaozhou Bay Revealed by Landsat Observations显示文摘In this study, we used Landsat images and meteorological data to examine the spatiotemporal distribution and variability of sea ice in Jiaozhou Bay(JZB) between 1986 and 2016. The results show that JZB is not always covered by sea ice in winter, but in some extreme cases, sea ice has covered more than one-third of the sea area of the bay. Sea ice in JZB has generally formed between January 1 and February 5, primarily along the coast, and gradually expanding to the central area of the bay. Both meteorological and artificial factors have played important roles in modulating the sea ice distribution. We found sea ice coverage to have been strongly correlated with the accumulated freezing-degree days nine days before the occurrence of sea ice(R2 = 0.767). North-northwest surface winds have dominated the freezing period of sea water in the JZB, and wind speed has exerted a more significant influence on the formation of sea ice when the sea ice coverage has been generally small. Additionally, artificial factors began to affect the expansion of sea ice in JZB since 2007. The construction of the Jiao-Zhou-Bay Bridge(JZBB) is believed to have retarded water flow and reduced the tidal prism, thereby leading to the formation of an ice bridge along the JZBB, which effectively prevents the southward expansion of sea ice. | HUANG Jue GUO Lianjie JIANG Tao ZHU Hongchun | 2019 | Journal of Ocean University of China2019，18，2： | 2 |
| 8 | Landform classification based on optimal texture feature extraction from DEM data in Shandong Hilly Area, China显示文摘Texture and its analysis methods are crucial for image feature extraction and classification. Digital elevation model (DEM) is the most important data source of digital terrain analysis and landform classification, and considerable research values are gained from texture feature extraction and analysis from DEM data. In this research, on the basis of optimal texture feature extraction, the hilly area in Shandong, China, was selected as the study area, and DEM data with a resolution of 500 m were used as the experimental data for landform classification. First, second-order texture measures and texture image were extracted from DEM data by using a gray level cooccurrence matrix (GLCM). Second, the variation characteristics of each texture measure were analyzed, and the optimal feature parameters, such as direction, gray level, and texture window, were determined. Meanwhile, the texture feature value, combined with maximum information, was calculated, and the multiband texture image was obtained by resolving three optimal texture measure images. Finally, a support vector machine (SVM) method was adopted to classify landforms on the basis of the multiband texture image. Results indicated that the texture features of DEM data can be sufficiently represented and measured via the quantitative GLCM method. However, the feature parameters during the texture feature value calculation required further optimization. Based on the image texture from DEM data, efficient classification accuracy and ideal classification effect were achieved. | Hongchun ZHU Yuexue XU Yu CHENG Haiying LIU Yipeng ZHAO | 2019 | Frontiers of Earth Science2019，13，3： | 1 |
| 9 | Enhanced strength and toughness of high nitrogen stainless bearing steel by controlling interstitial partitioning via V-microalloying显示文摘High-nitrogen stainless bearing steel(HNSBS)with ultra-high tensile strength(∼2403 MPa)and good toughness(∼80.0 J)was obtained by V-microalloying,overcoming the strength-toughness trade-off of conventional V-free HNSBS.In this work,since V-microalloying facilitated the enrichment of interstitial atoms(C and N)in precipitates,the content of interstitial atoms in the matrix was reduced accordingly(i.e.,interstitial partitioning).On the one hand,V-microalloying reduced the substantial intergranular precipitates and transformed the precipitates from M_(23)C_(6)+M_(2)N into V-containing M_(23)C_(6)+M_(2)N+MN with multi-scale particle sizes,causing a coupling strengthening effect,which contributed to the toughness and additional strength increase.On the other hand,V-microalloying controlled interstitial partitioning,effectively refined coarse retained austenite(RA),increased the fraction of dislocation martensite,and reduced the fraction of twin martensite.The more film-like RA and dislocation martensite with high dislocation density coordinated plastic deformation and prevented crack propagation,thus obviously enhancing the strength and toughness of 0.2 V steel.This study provides a new route to develop high-performance HNSBS for aerospace applications. | Lingfeng Xia Huabing Li Hao Feng Zhouhua Jiang Hongchun Zhu Shucai Zhang Xiaodong Wang | 2023 | Journal of Materials Science & Technology2023，，20： | 1 |
| 10 | Mechanism of resistance to fenoxaprop in Japanese foxtail ( Alopecurus japonicus ) from China显示文摘 | Hongle Xu Xudong Zhu Hongchun Wang Jun Li Liyao Dong | 2013 | Pesticide Biochemistry and Physiology2013，，： | 1 |
| 11 | Surveillance system-based physician reporting of pneumonia of unknown etiology in China:A cross-sectional study显示文摘Objective:To describe the current reporting of pneumonia of unknown etiology(PUE)and factors that affect reporting by clinicians in China using the PUE surveillance system in order to provide a reference for improving PUE reporting rates in the future.Methods:Clinicians were recruited via the Sojump platform and requested to complete an anonymous self-administered questionnaire.Multivariate logistic regression analysis was used to assess factors influencing clinicians’reporting activities.Results:This study showed a low PUE case reporting rate and a poor understanding of PUE reporting among the investigated clinicians.Of the 136 clinicians who had diagnosed PUE cases,multivariate logistic regression analysis results showed that clinicians who had attended in-hospital training were more likely to report PUE than those who had not(OR 4.48,95%CI 1.49-13.46).Clinicians with an expert panel on PUE in their hospital were more likely to report PUE cases than those without(OR 5.46,95%CI 1.85-16.11).Conclusions:There is a need to promote and reinforce PUE surveillance system training among medical staff.In addition,PUE testing technologies in hospital laboratories should be upgraded,especially in primary and unclassified hospitals,to increase surveillance efficiency and improve PUE reporting rates. | Hongchun Du Yajuan Zhu Yan Chen Shidan Zhou Jiani Tong Yingnan Deng Dingmei Zhang | 2022 | Asian Pacific Journal of Tropical Medicine2022，15，4： | 0 |
| 12 | Downcutting and uplifting in the middle part of Qinling orogenic belt during the late Quaternary显示文摘Layered cave passages formed on the walls of the Qianyou River valley in the middle part of the Qinling Mountains since the Pleistocene due to the intermittent uplifts. 12 speleothem samples near ruins of palaeowater tables in 3 cave passages are dated by using the Th method. The results show that the 3 caves began to uplift (358±38) ka, (247±28) ka, (118±19) ka ago respectively. Given the differences of elevation between the caves, we could obtain the downcutting rates of the valley: (0.23±0.02) mm/a during 358 -247 ka, (0.19±0.03) mm/a during 247-118 ka, and (0.51(0.08) mm/a since 118 ka. This implies that more and more strong uplifting sustained in the middle part of Qinling since 358 | WANG Fei LI Hongchun ZHU Rixiang HU Yutai | 2002 | Chinese Science Bulletin2002，47，18： | 0 |
| 13 | Immune characteristics of severe and critical COVID-19 patients显示文摘Dear Editor,Recently,the novel coronavirus disease(COVID-19)has broken out worldwide,1 with rapid increase of infected patients.COVID-19 dominantly leads to pneumonia.2 Among these COVID-19 patients,some appears to be severe symptoms with acute respiratory distress syndrome,organ failure,2 and further present a poor outcome. | Li Yang Jianjun Gou Jianbo Gao Lan Huang Zhiqiang Zhu Shaofei Ji Hongchun Liu Lihua Xing Mengying Yao Yi Zhang | 2020 | Signal Transduction and Targeted Therapy2020，5，1： | 0 |
| 14 | A Kinetic Study on Dismutation of Superoxide Ion by Macrocyclic Dioxotetramine-Copper(Ⅱ) Complex by Using Pulse Radiolysis显示文摘We studied the reaction kinetics of dismutation for superoxide ion by copper (Ⅱ) complex of macrocycllc dioxotetramine ligand 12- ( 4’ - nitro )- benzyl-1,4,7,10- tetraazacy-clotridecane-11,13-dionato copper (Ⅱ) by using pulse radiolysis. The rate constants of dismutation kcat’s were measured to be 1. 78×106 mor-1 . L.s-1(at pH 7. 0) and 1. 06×106 mol-1. L. s-1(at pH 7. 8). The reaction mechanism is similar to that catalyzed by super-oxide dismutase. | Shen Mengchang, Luo Qinhui, Zhu Shourong, Tu Qingyun and Dai An bang(Coordination Chemistry Institute, Nanjing University, Nanjing)Liu Andong, Ou Hongchun, Li Fengmei and Di Shaojie(Institute of Law Energy Nuclear Physics, Beijing Normal University, Beijing) | 1990 | Chemical Research in Chinese Universities1990，6，4： | 0 |
| 15 | Age dating of lacustrine sediments in Lake Tianshuihai of the Tibetan Plateau by using U-series isochron method and its significance显示文摘The age of the clastic-clay sediments with varied content of carbonate in core TS95 taken from the Lake Tianshuihai in the northwest of the Tibetan Plateau was determined successfully by using the total sample dissolution U-series isochron method for the first time. With this method, the serial absolute timescale (isotope time scale) covered the last 240 ka in the main body of the Tibetan Plateau with a sea level up to 4000 m is also established for the first time, thereby laying the foundation for the research on the paleo-climate and palaeoenvironment in the Lake Tianshuihai region as well as the relationship between evolution of the Tibetan Plateau and global changes. In addition to a brief introduction of the basic principles, the procedures of experiments, and the results, this note also presents the adaptability and superiority of this method as well as its possible problems. | ZHU Zhaoyu KU Teh-Lung LUO Shangde ZHOU Houyun WEN Qizhong LI Shijie LI Bingyuan LI Hongchun | 2001 | Chinese Science Bulletin2001，46，10： | 0 |
| 16 | Deep learning of DEM image texture for landform classification in the Shandong area,China显示文摘Landforms are an important element of natural geographical environment,and textures are the research basis for the spatial differentiation,evolution features,and analysis rules of the landform.Using the regional difference of texture to describe the spatial distribution pattern of macro landform features is helpful to the landform classification and identification.Digital elevation model(DEM)image texture,which gives full expression to texture difference,is key data source to reflect the surface features and landform classification.Following the texture analysis,landform features analysis is assistant to different landforms classification,even in landform boundary.With the increasing accuracy requirement of landform information acquisition in geomorphic thematic mapping,hierarchical landform classification has become the focus and difficulty in research.Recently,the pattern recognition represented by Convolutional Neural Network has made great achievements in landform research,whose multichannel feature fusion structure satisfies the network structure of different landform classification.In this paper,DEM image texture was taken as the data source,and gray level co-occurrence matrix was applied to extract texture measures.Owing to the similarity of similar landform and the difference of different landform in a certain scale,a comprehensive texture factor reflecting landform features was proposed,and the spatial distribution pattern of landform features was systematically analyzed.On this basis,the coupling relationship between texture and landform type was explored.Thus,the deep learning method of Convolutional Neural Network is used to train the texture features,and the second-class landform classification is carried out through softmax.The classification results in small relief and mid-relief low mountains,overall accuracy are 84.35%and 69.95%respectively,while kappa coefficient are 0.72 and 0.40 respectively,were compared to that of traditional unsupervised landform classification results,and the superiority of Convolutional Neural Network classification was verified,it approximately improved 6%in overall accuracy and 0.4 in kappa coefficient. | Yuexue XU Hongchun ZHU Changyu HU Haiying LIU Yu CHENG | 2022 | Frontiers of Earth Science2022，16，2： | 0 |
| 17 | Classification and Summarization of Solar Irradiance and Power Forecasting Methods:A Thorough Review显示文摘Solar forecasting is of great importance for ensuring safe and stable operations of the power system with increased solar power integration,thus numerous models have been presented and reviewed to predict solar irradiance and power forecasting in the past decade.Nevertheless,few studies take into account the temporal and spatial resolutions along with specific characteristics of the models.Therefore,this paper aims to demonstrate a comprehensive and systematic review to further solve these problems.First,five classifications and seven pre-processing methods of solar forecasting data are systematically reviewed,which are significant in improving forecasting accuracy.Then,various methods utilized in solar irradiance and power forecasting are thoroughly summarized and discussed,in which 128 algorithms are elaborated in tables in the light of input variables,temporal resolution,spatial resolution,forecast variables,metrics,and characteristics for a more fair and comprehensive comparison.Moreover,they are categorized into four groups,namely,statistical,physical,hybrid,and others with relevant application conditions and features.Meanwhile,six categories,along with 30 evaluation criteria,are summarized to clarify the major purposes/applicability of the different methods.The prominent merit of this study is that a total of seven perspectives and trends for further research in solar forecasting are identified,which aim to help readers more effectively utilize these approaches for future in-depth research. | Bo Yang Tianjiao Zhu Pulin Cao Zhengxun Guo Chunyuan Zeng Danyang Li Yijun Chen Haoyin Ye Ruining Shao Hongchun Shu Tao Yu | 2023 | CSEE Journal of Power and Energy Systems2023，9，3： | 0 |
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