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| 1 | Intratidal and neap-spring variations of suspended sediment concentrations and sediment transport processes in the North Branch of the Changjiang Estuary显示文摘Profiles of tidal current and suspended sediment concentration(SSC) were measured in the North Branch of the Changjiang Estuary from neap tide to spring tide in April 2010. The measurement data were analyzed to determine the characteristics of intratidal and neap-spring variations of SSC and suspended sediment transport. Modulated by tidal range and current speed, the tidal mean SSC increased from 0.5 kg/m3 in neap tide to 3.5 kg/m3 in spring tide. The intratidal variation of the depth-mean SSC can be summarized into three types: V-shape variation in neap tide, M-shape and mixed M-V shape variation in medium and spring tides. The occurrence of these variation types is controlled by the relative intensity and interaction of resuspension, settling and impact of water exchange from the rise and fall of tide. In neap tide the V-shape variation is mainly due to the dominant effect of the water exchange from the rise and fall of tide. During medium and spring tides, resuspension and settling processes become dominant. The interactions of these processes, together with the sustained high ebb current and shorter duration of low-tide slack, are responsible for the M-shape and M-V shape SSC variation. Weakly consolidated mud and high current speed cause significant resuspension and remarkable flood and ebb SSC peaks. Settling occurs at the slack water periods to cause SSC troughs and formation of a thin fluff layer on the bed. Fluxes of water and suspended sediment averaged over the neap-spring cycle are all seawards, but the magnitude and direction of tidal net sediment flux is highly variable. | LI Zhanhai LI Michael Z DAI Zhijun ZHAO Fangfang LI Jiufa | 2015 | Acta Oceanologica Sinica2015，34，1： | 9 |
| 2 | Research of Neural Network Based on Improved PSO Algorithm for Carbonation Depth Prediction of Concrete显示文摘Firstly,neural network based on improved particle swarm optimization (PSO)algorithm is introduced in this paper. Based on the data collected from projects in typical areas,the concrete carbonation depth is assessed with consideration of various factors such as unit cement consumption (C),unit water consumption (W),binder material content (B),water binder ratio (W/B ),concrete strength (MPa),rapid carbonization days (D),fly ash consumption of unit volume concrete(FA),fly ash percentage of total cementitious materials (FA%),expansion agent consumption of unit volume concrete(EA),expansion agent percentage of total cementitious materials (FA%).Gaining the data from project-experiment,a model is presented to calculate and forecast carbonation depth using neural network based on improved PSO algorithm. The calculation results indicate that this algorithm accord with the prediction carbonation depth of concrete accuracy requirements and has a better convergence and generalization,worth being popularized. | DAI W SHUI Z H | 2010 | 武汉理工大学学报2010，32，17： | 2 |
| 3 | Distribution of time between failures of machining center based on type Ⅰ censored data显示文摘 | Dai Y Zhou Y F Jia Y Z | 2003 | Reliability Engineering and System Safety2003，79，3： | 1 |
| 4 | Nanobelts of semiconducting oxides显示文摘 | PAN Z W DAI Z R WANG Z L | 2001 | Science2001，291，5510： | 1 |
| 5 | Product platform design through sensitivity analysis and cluster analysis 显示文摘 | Dai Z H Scott M J | 2007 | Journal of Intelligent Manufacturing2007，18，1： | 1 |
| 6 | Superhydrophobic surfaces prepared from water glass and non-fluorinated alkylsilane on cotton substrates显示文摘 | Li Z Xing Y Dai J J | | Applied Surface Science0，254，7： | 1 |
| 7 | Efficient asymmetric oxidation of sulfides and kinetic resolution of sulfoxides catalyzed by a Vanadium-Salan System显示文摘 | Sun J Zhu C Dai Z | 2004 | J Org Chem2004，69，： | 1 |
| 8 | Immobilization of hemoglobin on zirconium dioxide nanoparticles for preparation of a novel hydrogen peroxide biosensor 显示文摘 | Liu S Q Dai Z H Chen H Y | 2004 | Biosens Bioelectron2004，19，： | 1 |
| 9 | Near-infrared femtosec- ond laser-induced crystallization of amorphous silicon 显示文摘 | SfilEH J CHEN Z DAI B | 2004 | Applied Physics Letters2004，85，7： | 1 |
| 10 | Normalizing NADPH oxidase con- tributes to attenuating diabetic nephropathy by the dual endothelin receptor antagonist CPU0213 in rats显示文摘 | Xu M Dai D Z Dai Y | 2009 | Am J Nephrol2009，29，3： | 1 |
| 11 | Quasi-synchronous sampling algorithm and its applications显示文摘 | X Z Dai | 1993 | IEEE Trans1993，43，2： | 1 |
| 12 | The Effect of Boron on Selective Benzene Hydrogenation to Cyclohexene Over Ruthenium Boride Powders显示文摘 | Liu Z Dai W L Liu B | 1999 | J Catal1999，187，： | 1 |
| 13 | Synthesis and characterization of indodicarbocyanines显示文摘 | Dai Z F Peng B X | 1998 | Dyes and Pigments1998，36，2： | 1 |
| 14 | Detecting Submerged Objects by Brillouin Scattering显示文摘 | GONG Wen-ping DAI Rui Sun Z | 2004 | Appl Phys B2004，79，5： | 1 |
| 15 | Synthesis and characterization of single-crystalline BaTi2O5 nanowires 显示文摘 | Deng Z Dai Y Chen W | 2010 | Journal of Physical Chemistry C2010，114，： | 1 |
| 16 | Protective effect of pulmonary surfactanton cilia of Eustachian tube in otitis media with effusion显示文摘 | Ma Z Dai C Yang S | 2007 | Int J Pedi-atr Otorhinolaryngol2007，71，12： | 1 |
| 17 | R-linear convergence of the Barzilai and Borwein gradient method 显示文摘 | Dai Y H Liao L Z | 2002 | IMA Journal of Numerical Analysis2002，22，1： | 1 |
| 18 | Preparation of monodisper- se poly (methyl methacrylate) particles by radiation-induced dis- persion polymerization using vinyl terminus polysiloxane mac- romonomer as a polymerizable stabilizer显示文摘 | DAI Q WU D Z ZHANG Z | 2003 | Polymer2003，44，1： | 1 |
| 19 | Amino acid metabolism in intestinal bacteria:links between gut ecology and host health显示文摘 | DAI Z L WU G Y ZHU W Y | 2011 | Frontiers in Bioscience2011，16，： | 1 |
| 20 | Preparation of monodisperse poly (methyl methacrylate) particles by radiation-induced dispersion polymerization using vinyl terminus polysiloxane macromonomer as a polymerizable stabilizer显示文摘 | Dai Q Wu D Z Zhang Z | | 0，，01： | 1 |
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