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| 1 | A GIS-BASED DISTRIBUTED SOIL EROSION MODEL:A CASE STUDY OF TYPICAL WATERSHED,SICHUAN BASIN显示文摘Based on the measuring data and Digital Elevation Data (DEM) in a typical watershed--Hemingguan Watershed, Nanbu County, Sichuan Province of China, a GIS-based distributed soil erosion model was developed particularly for the purple soil type. It takes 20 m × 20 m grid as calculating unit and operates at 10-minute time interval. The required input data to the model include DEM, soil, land use, and time-series of precipitation and evaporation loss. The model enables one to estimate runoff, erosion and sediment yield for each grid cell and route the flow along its flow path to the watershed outlet. Furthermore, the model is capable of calculating the total runoff; erosion and sediment yield for the entire watershed by recursion algorithm. The validation of the model demonstrated that it could quantitatively simulate the spatial distribution of hydrological variables in a watershed, such as runoff, vegetation entrapment, soil erosion, the degree of soil and water loss. Moreover, it can evaluate the effect of land use change on the runoff generation and soil erosion with an accuracy of 80% and 75% respectively. The application of this model to a neighboring watershed with similar conditions indicates that this distributed model could be extended to other similar regions in China. | Zaijian YUAN Qiangguo CAI Yingmin CHU | 2007 | International Journal of Sediment Research2007，22，2： | 2 |
| 2 | Internet Multimedia Traffic Classification from QoS Perspective Using Semi-Supervised Dictionary Learning Models显示文摘To address the issue of finegrained classification of Internet multimedia traffic from a Quality of Service(QoS) perspective with a suitable granularity, this paper defines a new set of QoS classes and presents a modified K-Singular Value Decomposition(K-SVD) method for multimedia identification. After analyzing several instances of typical Internet multimedia traffic captured in a campus network, this paper defines a new set of QoS classes according to the difference in downstream/upstream rates and proposes a modified K-SVD method that can automatically search for underlying structural patterns in the QoS characteristic space. We define bagQoS-words as the set of specific QoS local patterns, which can be expressed by core QoS characteristics. After the dictionary is constructed with an excess quantity of bag-QoSwords, Locality Constrained Feature Coding(LCFC) features of QoS classes are extracted. By associating a set of characteristics with a percentage of error, an objective function is formulated. In accordance with the modified K-SVD, Internet multimedia traffic can be classified into a corresponding QoS class with a linear Support Vector Machines(SVM) clas-sifier. Our experimental results demonstrate the feasibility of the proposed classification method. | Zaijian Wang Yuning Dong Shiwen Mao Xinheng Wang | 2017 | China Communications2017，14，10： | 2 |
| 3 | The Institutionalized Construction of the Relationship between Chinese Central and Local government in the New Century显示文摘 | Jin Taijun Qian Zaijian | 2002 | Chinese Public Administration Review2002，1，1： | 1 |
| 4 | Study of corrosion behavior of carbon steel under seawater film using the wire beam electrode method显示文摘 | Zaijian Liu Wei Wang Jia Wang Xin Peng Yanhua Wang Penghui Zhang Haijie Wang Congjie Gao | 2013 | Corrosion Science2013，，： | 1 |
| 5 | A Survey of Multimedia Big Data显示文摘Multimedia big data brings tremendous challenges as well as opportunities for multimedia applications/services. In this paper, we present a survey and tutorial for multimedia big data. After discussing the characteristics of multimedia big data such as human-centricity, multimodality, heterogeneity, unprecedented volume, and so on, this paper provides an overview of the state-of-the-art of multimedia big data, reviews the latest related technologies, and discusses the technical challenges. We conclude this paper with a discussion of open problems and future directions. | Zaijian Wang Shiwen Mao Lingyun Yang Pingping Tang | 2018 | China Communications2018，15，1： | 1 |
| 6 | An analysis of 445 hospitalized ulcerative colitis cases missed diagnosis in China 显示文摘 | Wang Zaijian Ouyang Qin | 2004 | Journal of Gastroenterology and Hepatology2004，，： | 1 |
| 7 | Thermal stability of soil organic carbon subjected to water erosion as a function of edaphic factors显示文摘The stability of soil organic carbon(SOC),as it relates to resistance to decomposition,is important for greenhouse gas emission and climate change.However,the SOC stabilization and its related influencing factors subjected to water erosion remain uncertain.The objective of the current study was to determine the SOC stability under long-term water erosion and to investigate the link between SOC stability and edaphic factors.Soil samples from eroded,depositional,and control sites in a closed watershed in subtropical China were collected.The SOC concentration,carbon functional groups,soil physicochemical properties,and thermal stability of SOC were determined.The study results showed that the primary component of the SOC functional groups was O-alkyl carbon(reached 40%),and its proportion has no significant difference among different sites.The TG-T50(the temperature at which 50%of the soil organic matter is lost)values indicated that the SOC thermal stability in the eroded topsoil was higher than that of the deposited topsoil.The carbon functional groups were lack of relation with SOC thermal stability(p>0.05).However,the TG-T_(50) was significantly positively correlated with the cation exchange capacity and silt,but remarkably negatively correlated with SOC,dissolved organic carbon,total nitrogen,sand,clay,pH,aluminum,specific surface area,and iron oxides.These results indicated that the edaphic factors,which were strongly affected by micro-environment,are the main factors affecting thermal stability of organic carbon.The SOC stabilization under the effects of long-term water erosion should be addressed from the perspective of the ecosystem. | Zhongwu Li Linhui Xiao Chuxiong Deng Zaijian Yuan Chen Liang Qian Xiong Zeting Li Xiaodong Nie | 2022 | International Journal of Sediment Research2022，37，1： | 0 |
| 8 | Experimental determination of sediment transport capacity of rill flow over sandified loess slope显示文摘Rill erosion is affected by the sand particle content in soil,especially in the wind and water erosion transition region of the Loess Plateau.The sediment transport capacity(STC)is a key parameter in rill erosion research,assessing the impact of aeolian sand intrusion on the STC of rill flow is of importance for a better understanding of rill erosion.This study aimed to assess the effect of aeolian sand intrusion on the STC on sandified loess slopes,with typical slopes and flow discharges,using a flume system which consisting of a sediment-feeding and a sediment-supply/settlement flume.The sediment feeding flume was jointed by 10°higher than that of the sediment measurement flume section.Three flow discharges(2,4,and 8 L min^(-1))and four slope gradients(5°,10°,15°,and 25°)were used to represent the natural hydrological conditions under three intrusion rates(SIR)of aeolian sands(10%,20%,and 50%).The results show that STC increased with slope gradient and flow discharge,and the relationship between the STC and the SIR was significantly affected by the slope gradient;the STCs decreased with the SIR on a slope of 5°but increased with the SIR on steep slopes of 15°-25°,implying a significant impact of slope gradient on the relationship between SIR and STC.The SIR of 50%resulted in the highest sediment concentration nearly 1200 kg m^(-3)on slopes of 25°.On sandified loess slopes of 10%,20%,and 50%SIR,the STC were about 30%,46%,and 57%higher than on loess slopes,indicating an increased erosion rate by sand particle intrusion into loess soil.These results highlight the impact of sand intrusion on STC of rill flow and provide deeper insights into the soil loss process on the sandified loess slope. | Ren Feng Jiacun Chen Zhenyue Xie Dingqiang Li Zaijian Yuan | 2023 | International Soil and Water Conservation Research2023，11，2： | 0 |
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