The Weng'an Biota, a fossil KonservatLagerst?tte in South China that is c. 570 – 609 myr old, preserves the world's oldest zoolite and provides a unique empirical record for studying animal origins and early evolution. Due to geological disasters caused by the exploitation of the local phosphate mine, part of the fossilized records and the geological sections of the Weng'an Biota have been seriously damaged. Protection of this unique fossil area is urgently required. In this research, an innovative scheme for the protection of the geological relics of the Weng'an Biota is proposed by backfilling the mine cavity with specially formulated grouting materials. In view of the shortcomings of the current grouting materials, such as the high proportion of water separation, the low stone percentage and high cost, newly developed grout materials consisting of mixtures of cement-fly ash-expansion agent(C-F-E) were systematically studied by a combined method of theoretical analysis and experimental study. Firstly, new grouting materials(C-F-E) were developed using selected proportions of(1) Portland cement(P·O 32.5),(2) external admixture(Fly ash),(3) expansion agent(NV) and(4) admixture(DFZ). Then, the properties of new grouting materials(C-F-E), such as stability, stone percentage, rheology, fluidity, setting time and compressive strength were evaluated by laboratory tests. Finally, a new model of the hydration process was proposed for these newly developed grouting materials based on a detailed scanning electron microscopy(SEM) study of their microstructural development. These research results will provide an effective solution to the protection of the geological relics of the Weng'an Biota. Additionally, these grouting materials may prove suitable for solving similar problems in the management of most mine cavities requiring stabilization in the future. 相似文献
Snow on sea ice is a sensitive indicator of climate change because it plays an important role regulating surface and near surface air temperatures. Given its high albedo and low thermal conductivity, snow cover is considered a key reason for amplified warming in polar regions. This study focuses on retrieving snow depth on sea ice from brightness temperatures recorded by the Microwave Radiation Imager(MWRI) on board the FengYun(FY)-3 B satellite. After cross calibration with the Advanced Microwave Scanning Radiometer-EOS(AMSR-E) Level 2 A data from January 1 to May 31, 2011, MWRI brightness temperatures were used to calculate sea ice concentrations based on the Arctic Radiation and Turbulence Interaction Study Sea Ice(ASI) algorithm. Snow depths were derived according to the proportional relationship between snow depth and surface scattering at 18.7 and 36.5 GHz. To eliminate the influence of uncertainties in snow grain sizes and sporadic weather effects, seven-day averaged snow depths were calculated. These results were compared with snow depths from two external data sets, the IceBridge ICDIS4 and AMSR-E Level 3 Sea Ice products. The bias and standard deviation of the differences between the MWRI snow depth and IceBridge data were respectively 1.6 and 3.2 cm for a total of 52 comparisons. Differences between MWRI snow depths and AMSR-E Level 3 products showed biases ranging between-1.01 and-0.58 cm, standard deviations from 3.63 to 4.23 cm, and correlation coefficients from 0.61 to 0.79 for the different months. 相似文献
Urban pluvial flash floods have become a matter of widespread concern, as they severely impact people’s lives in urban areas. Hydrological and hydraulic models have been widely used for urban flood management and urban planning. Traditionally, to reduce the complexity of urban flood modelling and simulations, simplification or generalization methods have been used; for example, some models focus on the simulation of overland water flow, and some models focus on the simulation of the water flow in sewer systems. However, the water flow of urban floods includes both overland flow and sewer system flow. The overland flow processes are impacted by many different geographical features in what is an extremely spatially heterogeneous environment. Therefore, this article is based on two widely used models (SWMM and ANUGA) that are coupled to develop a bi-directional method of simulating water flow processes in urban areas. The open source overland flow model uses the unstructured triangular as the spatial discretization scheme. The unstructured triangular-based hydraulic model can be better used to capture the spatial heterogeneity of the urban surfaces. So, the unstructured triangular-based model is an essential condition for heterogeneous feature-based urban flood simulation. The experiments indicate that the proposed coupled model in this article can accurately depict surface waterlogged areas and that the heterogeneous feature-based urban flood model can be used to determine different types of urban flow processes.