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建立了一种新的管状模型来模拟普通黑烟囱体的热液循环系统,分别用达西方程、湍流方程、Ergun方程和“浮压力差”方程来描述热液循环不同关键环节处的动力学系统,用一个温度场的对流-扩散方程来描述反应区的热能交换及系统的温度变化规律.在联立几个方程并用有效的数值算法及Matlab语言编程求解后,得出了系统中温度、压力及物质流速随时间的变化曲线,并对黑烟囱体内部的动态热平衡和压力平衡进行了分析.在普通黑烟囱体系统模型的基础上进一步建立了巨型羽状流(巨羽流)生成的数学模型.选择胡安·德富卡(Juan de Fuca)洋脊热液喷口对巨羽流的形成进行了模拟,其结果与Baker根据实测数据估算的近似值吻合很好.在上述模型的基础上进一步探讨了巨羽状流形成的一系列条件及主要参数对巨羽流生成周期、温度和最大物质流速等的影响.主要结论如下:巨羽流系统可以由普通黑烟囱系统发展演化而成,其实际过程是普通黑烟囱流系统活动所形成的热液沉积在一定程度上会堵塞热液喷溢通道(相当于形成盖层),造成热液在海底之下积蓄和升温,从而导致浮压力差增大,经过2~3 a(浮压力差达到盖层破裂极限值)则可形成巨羽流系统,巨羽流产生时的热源温度必须超过500℃,喷出热液的最高温度为413℃左右(与实际观测到的海底热液的最高温度一致).当反应区热源温度增大时,产生巨羽流的临界时间明显变短(可能不到1 a),而临界温度(巨羽流生成时的温度)及巨羽流的最大物质流速几乎不随其变化;随着渗透率的增大,巨羽流的最大物质流速也随之增大,但其增速随渗透率的进一步增大而变缓,并逐渐趋向一个相当于下渗流无摩擦阻力时的极限稳定值. 相似文献
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An analysis of T-phase source locations determined in the mid-1960s for an area of the northeast Pacific Ocean encompassing the Juan de Fuca spreading center reveals that most of the source locations are associated with regions where seamount chains intersect the spreading center and with edifices both along and near the spreading center. The T-phase source locations also tend to cluster on, or near, areas of the most concentrated and vigorous hydrothermal venting along the Juan de Fuca Ridge. Of the 58 T-phase source locations determined for a period from October 1964 through December 1966, only one was found to be associated with an earthquake detected by the National Geophysical Data Center/National Earthquake Information Service because of the characteristic small magnitude of spreading-center seismic events. Monitoring T-phase activity originating along the 80 000 km-long global seafloor spreading-center system offers a practical and unique opportunity to better understand the dynamics and oceanic effects of episodic spreading-center tectonic, volcanic, and hydrothermal processes. 相似文献
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Basic mathematical model for the normal black smoker system and the hydrothermal megaplume formation
A tube model to simulate the normal black smoker system has been built, where the Darcy flow equation, the Ergun equation and the turbulent pipe flow equation are used respectively to describe the dynamic process of different key areas in the hydrothermal circulation system. At the same time, a convection-diffuse Equation for the temperature field is used for describe the exchange of thermal energy and the law of temperature variation. Combining the above facts and using efficient mathematical algorithms and programming with the MatLab programming language, the variation curves of temperature, pressure and mass flow rate are determined, while also the dynamic heat equilibrium and pressure equilibrium within the black smoker system are analyzed. On the basis of the model of the normal black smoker system, a megaplume formation model is further built. For instance, the hydrothermal venting plume on the Juan de Fuca Ridge has been simulated and the simulation results are fairly consistent with Baker's imputed data in 1986. On the basis of the above productive simulation, a series of factors for megaplume formation and the effectiveness of the main parameters of the periodicity of the megaplume formation, temperature and the maximum mass flow rate are systematically discussed. Main conclusions are as follows: The normal black smoker system can evolve into a megaplum eruption. In fact, the passageway of the hydrothermal discharge is blocked by the hydrothermal sediments during the black smoker period, which leads to a hydrothermal fluid accumulation, rise of temperature and increase of buoyancy pressure under the seabed. After a period of 2~3 a, the megaplume hydrothermal eruption will occur when the increasing buoyancy pressure is high enough to crack the blockage (cap).Meanwhile, the temperature of the heat source must exceed 500 ℃, while the highest temperature of the eruption fluid may be high up to 413 ℃, which is fairly consistent with the surveying data.If the temperature of the heat source were to be higher than 500 ℃, then the critical period for the megaplume formation could be obviously curtailed to be less than 1 a, while the critical temperature and the maximum mass flow rate are nearly invariable. As the permeability increases, the maximum mass flow rate increases gradually close to a steady value. 相似文献
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