Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) is well characterized by the in-situ, real time, lower limit of detection and high space resolution, etc. Therefore, it is more excellent in the analysis of trace element for varied minerals in comparison to other micro-zone analysis technologies. Magnetite as a common mineral from different deposits and rocks has been focused on chemical compositions by researchers worldwide. In fact, as the insignificant matrix effect for most elements in magnetite, analysis results could be calculated effectively against Fe-rich silicate glass as the reference material. Therefore, researches on trace element distribution of magnetite have been developed rapidly in recent years, and it has a wide application prospect in reflecting the condition of ore-forming, discriminating different deposit types and indicating prospecting exploration. Comparing varied previous discrimination diagrams about magnetite via collecting trace element data from available literatures based on 25 deposits, we found that there was an urgent need for further detailing and reexamining the boundary of fields representing different genetic types, and it was vital for interpreting the data through carefully petrographical observation before analysis. In addition, we discussed several complex physicochemical factors, which would influence the element concentration of magmatite in igneous and hydrothermal processes, such as melt/fluid composition, temperature, cooling rate, pressure, oxygen fugacity, sulfur fugacity and silica activity. In magma stage, Magnetite’s components are closely related to melts composition and differentiation, while fluid features would also significantly change magnetie's components. Furthermore, there is serious interference for discriminating the genesis of magnetite because of late stage fluids and equilibrium again in subsolidus condition. This paper reviewed the developments of trace elements analysis by LA-ICP-MS and important applications about magnetite in mineral deposit so that unique thoughts for the research on mineralization and ore-forming processes could be obtained. 相似文献
An investigation into the prediction method for internal solitary waves (ISWs) loads on the columns and caissons of the semi-submersible platform found on three kinds of internal solitary wave theories and the modified Morison Equation is described. The characteristics of loads exerted on the semi-submersible platform model caused by the ISWs have been observed experimentally, and the inertial and drag coefficients in Morison Equation are determined by analyzing the forces of experiments. From the results, it is of interest to find that Reynolds number, KC number and layer thickness ratio have a considerable influence on the coefficients. The direction of incoming waves, however, is almost devoid of effects on the coefficients. The drag coefficient of columns varies as an exponential function of Reynolds number, and inertia coefficient of columns is a power function related to KC number. Meanwhile, the drag coefficient of caissons is approximately constant in terms of regression analysis of experimental data. The results from different experimental conditions reveal that the inertia coefficient of caissons appears to be exponential correlated with upper layer depths.
Catastrophic flooding associated with sea-level rise and change of hurricane patterns has put the northeastern coastal regions of the United States at a greater risk. In this paper, we predict coastal flooding at the east bank of Delaware Bay and analyze the resulting impact on residents and transportation infrastructure. The three-dimensional coastal ocean model FVCOM coupled with a two-dimensional shallow water model is used to simulate hydrodynamic flooding from coastal ocean water with fine-resolution meshes, and a topography-based hydrologic method is applied to estimate inland flooding due to precipitation. The entire flooded areas with a range of storm intensity (i.e., no storm, 10-, and 50-year storm) and sea-level rise (i.e., current, 10-, and 50-year sea level) are thus determined. The populations in the study region in 10 and 50 years are predicted using an economic-demographic model. With the aid of ArcGIS, detailed analysis of affected population and transportation systems including highway networks, railroads, and bridges is presented for all of the flood scenarios. It is concluded that sea-level rise will lead to a substantial increase in vulnerability of residents and transportation infrastructure to storm floods, and such a flood tends to affect more population in Cape May County but more transportation facilities in Cumberland County, New Jersey. 相似文献