There exist many fluvio-glacial deposits in the valley of Dadu River,Southwest China,which dates back to the Pleistocene.As some of the deposits are located within the seasonal water fluctuation zone of reservoirs,the seepage of groundwater acts as one of the key factors influencing their stability.Investigation into the sediment properties and permeability is,therefore,crucial for evaluating the sediment stability.In this study,in-situ permeability and sieving tests have been carried out to determine grain size distribution,correlations of permeability and hydraulic gradients,and relations between permeability and sedimentation properties.Test results indicate that the deposits are composed mostly of sands,gravels,cobbles and boulders,and the percentage of fines is less than 5%.The sediments have high densities,low porosities and natural moisture contents.At low hydraulic gradients,the seepage velocity obeys the Darcy’s law,while a nonDarcy permeability is observed with hydraulic gradient exceeding a certain value(about 0.5-0.7).The linear permeability coefficient ranges from 0.003 to 0.009 cm/s.Seepage failure occurs above a threshold between 1.1 and 1.5.The test data fit well with the non-linear permeability equations suggested by Forchheimer and Izbash.The non-Darcy permeability proves to be in accordance with the seepage equation suggested by Izbash with the power ’m’ of about 0.6-0.7.The characteristic grain sizes of the studied deposits are found in a narrow range between 0.024 and 0.031 mm,which is much lower than the effective grain size(d 10). 相似文献
In this paper, an improved Gath–Geva clustering algorithm is proposed for automatic fuzzy segmentation of univariate and multivariate
hydrometeorological time series. The algorithm considers time series segmentation problem as Gath–Geva clustering with the
minimum message length criterion as segmentation order selection criterion. One characteristic of the improved Gath–Geva clustering
algorithm is its unsupervised nature which can automatically determine the optimal segmentation order. Another characteristic
is the application of the modified component-wise expectation maximization algorithm in Gath–Geva clustering which can avoid
the drawbacks of the classical expectation maximization algorithm: the sensitivity to initialization and the need to avoid
the boundary of the parameter space. The other characteristic is the improvement of numerical stability by integrating segmentation
order selection into model parameter estimation procedure. The proposed algorithm has been experimentally tested on artificial
and hydrometeorological time series. The obtained experimental results show the effectiveness of our proposed algorithm. 相似文献
Multi-scale reflection seismic data, from deep-penetration to high-resolution, have been analyzed and integrated with near-surface geophysical and geochemical data to investigate the structures and gas hydrate system of the Formosa Ridge offshore of southwestern Taiwan. In 2007, dense and large chemosynthetic communities were discovered on top of the Formosa Ridge at water depth of 1125 m by the ROV Hyper-Dolphin. A continuous and strong BSR has been observed on seismic profiles from 300 to 500 ms two-way-travel-time below the seafloor of this ridge. Sedimentary strata of the Formosa Ridge are generally flat lying which suggests that this ridge was formed by submarine erosion processes of down-slope canyon development. In addition, some sediment waves and mass wasting features are present on the ridge. Beneath the cold seep site, a vertical blanking zone, or seismic chimney, is clearly observed on seismic profiles, and it is interpreted to be a fluid conduit. A thick low velocity zone beneath BSR suggests the presence of a gas reservoir there. This “gas reservoir” is shallower than the surrounding canyon floors along the ridge; therefore as warm methane-rich fluids inside the ridge migrate upward, sulfate carried by cold sea water can flow into the fluid system from both flanks of the ridge. This process may drive a fluid circulation system and the active cold seep site which emits both hydrogen sulfide and methane to feed the chemosynthetic communities. 相似文献
Bituminous coal in the Xutuan Coal Mine of the Huaibei Mining Bureau (China) is the research object of this study. The influence of moisture content on the porosity of the bituminous coal was investigated from a microscopic perspective by using a high-solution 3D X-ray micro-analyzer. The threshold segmentation method was used to segment the scanning slices of the coal samples. The threshold values of the various media were in the following order (from large to small): minerals, water, matrices, and fractures. The scanning volume and actual volume proportions of the different media in the coal samples with different moisture contents were calculated. The accuracy of the computerized tomography (CT) scanning method in measuring the coal moisture content was verified by comparison with the results obtained using the weighing method. 3D reconstructed coal samples, with different moisture contents, were analyzed, as well as separately reconstructed fractures and water in the coal samples with different moisture contents. The heterogeneity and anisotropy of the coal mass were explained quantitatively by the CT scanning intensity. A commonly used fracture classification method indicated that the primary fracture in the coal sample was a type A fracture. The results of the analysis of water in the coal fracture indicated that the porosity of bituminous coal decreased with the increase in moisture content in conditions of atmospheric pressure and a short immersion period. However, a certain level of porosity remained evident, and the degree of fracture development of the coal samples remained unchanged. This is attributed to the minor volumetric change in the minerals in the coal samples, as the water does not completely occupy the fractures in the coal samples, and the dissolution of the minerals by water is therefore not significant. The reasons for the moisture content affecting gas adsorption, seepage, and strength of a coal body were analyzed from a microscopic perspective. In addition, the types of fractures and water in the coal samples were classified by employing statistics and analyses of volume, surface area, specific surface area, and aspect ratio of the fractures and the water in the coal samples with different moisture contents.