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| 1 | The effect of environmental factors on spatial variability in land use change in the high-sediment region of China's Loess Plateau显示文摘In areas with topographic heterogeneity, land use change is spatially variable and influenced by climate, soil properties, and topography. To better understand this variability in the high-sediment region of the Loess Plateau in which soil loss is most severe and sediment diameter is larger than in other regions of the plateau, this study builds some indicators to identify the characteristics of land use change and then analyze the spatial variability as it is affected by climate, soil property, and topography. We build two indicators, a land use change intensity index and a vegetation change index, to characterize the intensity of land use change, and the degree of vegetation restoration, respectively. Based on a subsection mean method, the two indicators are then used to assess the spatial variability of land use change affected by climatic, edaphic, and topographic elements. The results indicate that: 1) Land use changed significantly in the period 1998–2010. The total area experiencing land use change was 42,302 km2, accounting for 22.57%of the study area. High-coverage grassland, other woodland, and forest increased significantly, while low-coverage grassland and farmland decreased in 2010 compared with 1998. 2) Land use change occurred primarily west of the Yellow River, between 35 and 38 degrees north latitude. The four transformation types, including(a) low-coverage grassland to medium-coverage grassland,(b) medium-coverage grassland to high-coverage grassland,(c) farmland to other woodland, and(d) farmland to medium-coverage grassland, were the primary types of land use change, together constituting 60% of the area experiencing land use change. 3) The spatial variability of land use change was significantly affected by properties of dryness/wetness, soil conditions and slope gradient. In general, land use changed dramatically in semi-arid regions, remained relativelystable in arid regions, changed significantly in clay-rich soil, remained relatively stable in clay-poor soil, changed dramatically in steeper slopes, and remained relatively stable in tablelands and low-lying regions. The increase in vegetation coincided with increasing changes in land use for each physical element. These findings allow for an evaluation of the effect of the Grain to Green Program, and are applicable to the design of soil and water conservation projects on the Loess Plateau of China. | LUO Ya YANG Shengtian ZHAO Changsen LIU Xiaoyan LIU Changming WU Linna ZHAQ Haigen ZHANG Yichi | 2014 | Journal of Geographical Sciences2014，24，5： | 5 |
| 2 | Pozzolanic activity of burned coal gangue and its effects on structure of cement mortar显示文摘 | Zhang Changsen | 2006 | Journal of Wuhan University of Technology-Mater. Sci. Ed2006，，4： | 1 |
| 3 | Data-driven Probabilistic Static Security Assessment for Power System Operation Using High-order Moments显示文摘In this letter,a new formulation of Lebesgue integration is used to evaluate the probabilistic static security of power system operation with uncertain renewable energy generation.The risk of power flow solutions violating any pre-defined operation security limits is obtained by integrating a semialgebraic set composed of polynomials.With the high-order moments of historical data of renewable energy generation,the integration is reformulated as a generalized moment problem which is then relaxed to a semi-definite program(SDP).Finally,the effectiveness of the proposed method is verified by numerical examples. | Guanzhong Wang Zhiyi Li Feng Zhang Ping Ju Hao Wu Changsen Feng | 2021 | Journal of Modern Power Systems and Clean Energy2021，9，5： | 1 |
| 4 | Two-step catalytic hydrodeoxygenation of fast pyrolysis oil to hydrocarbon liquid fuels显示文摘 | Xu Xingmin Zhang Changsen Liu Yonggang Zhai Yunpu Zhang Ruiqin | 2013 | Chemosphere2013，93，： | 1 |
| 5 | Mechani- cal performances and microstructures of cement containing copper tailings 显示文摘 | Changsen Zhang Tingting Zhou Qisheng Wu | 2014 | Asian Journal of Chemistry : An Inter- national Quarterly Research Journal of Chemistry2014，26，5： | 1 |
| 6 | Fe-MCM-41 from Coal-Series Kaolin as Catalysts for the Selective Catalytic Reduction of NO with Ammonia显示文摘 | Shuiping Li Qisheng Wu Guosen Lu Changsen Zhang Xueran Liu Chong Cui Zhiye Yan | 2013 | Journal of Materials Engineering and Performance2013，，12： | 1 |
| 7 | Bench- scale fluidized-bed fast pyrolysis of peanut shell for bio-oil production显示文摘 | Changsen Zhang Ruiqin Zhang Xipeng Li | 2011 | Environmental Progress & Sustainable Energy2011，30，1： | 1 |
| 8 | Effect of vibration extrusion on high-density polyethylene 显示文摘 | Gao Xueqin Zhang Jie Chen Changsen | 2007 | J Appl Polym Sci2007，106，： | 1 |
| 9 | Security and Privacy in 5G Internet of Vehicles(IoV)Environment显示文摘Modern vehicles are equipped with sensors,communication,and computation units that make them capable of providing monitoring services and analysis of real-time traffic information to improve road safety.The main aim of communication in vehicular networks is to achieve an autonomous driving environment that is accident-free alongside increasing road use quality.However,the demanding specifications such as high data rate,low latency,and high reliability in vehicular networks make 5G an emerging solution for addressing the current vehicular network challenges.In the 5G IoV environment,various technologies and models are deployed,making the environment open to attacks such as Sybil,Denial of Service(DoS)and jamming.This paper presents the security and privacy challenges in an IoV 5G environment.Different categories of vehicular network attacks and possible solutions are presented from the technical point of view. | Benjamin Kwapong Osibo Chengbo Zhang Changsen Xia Guanzhe Zhao Zilong Jin | 2021 | Journal on Internet of Things2021，3，2： | 0 |
| 10 | Analysis of Syetem Reliability in Manufacturing Cell Based on Triangular Fuzzy Number显示文摘Due to lacking of test-data and field-data in reliability research during the design stage of manufacturing cell sys- tem.The degree of manufacturing cell system reliability research is increased.In order to deal with the deficient data and the un- certainty occurred from analysis and judgment,the paper discussed a method for studying reliability of manufacturing cell system through the analysis of fuzzy fault tree,which was based on triangular fuzzy number.At last,calculation case indicated that it would have great significance for ascertaining reliability index,maintenance and establishing keeping strategy towards manufac- turing cell system. | ZHANG Caibo HAN Botang SUN Changsen XU Chunjie (School of Management and Economics,Beijing Institute of Technology,Beijing 100081,China, | 2006 | 武汉理工大学学报2006，28，S2： | 0 |
| 11 | A Fault Risk Warning Method of Integrated Energy Systems Based on RelieF-Softmax Algorithm显示文摘The integrated energy systems,usually including electric energy,natural gas and thermal energy,play a pivotal role in the energy Internet project,which could improve the accommodation of renewable energy through multienergy complementary ways.Focusing on the regional integrated energy system composed of electrical microgrid and natural gas network,a fault risk warning method based on the improved RelieF-softmax method is proposed in this paper.The raw data-set was first clustered by the K-maxmin method to improve the preference of the random sampling process in the RelieF algorithm,and thereby achieved a hierarchical and non-repeated sampling.Then,the improved RelieF algorithm is used to identify the feature vectors,calculate the feature weights,and select the preferred feature subset according to the initially set threshold.In addition,a correlation coefficient method is applied to reduce the feature subset,and further eliminate the redundant feature vectors to obtain the optimal feature subset.Finally,the softmax classifier is used to obtain the early warnings of the integrated energy system.Case studies are conducted on an integrated energy system in the south of China to demonstrate the accuracy of fault risk warning method proposed in this paper. | Qidai Lin Ying Gong Yizhi Shi Changsen Feng Youbing Zhang | 2022 | Computer Modeling in Engineering & Sciences2022，，9： | 0 |
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