共查询到20条相似文献，搜索用时 984 毫秒
1.
Oderson Antônio de Souza Filho Adalene Moreira Silva Armando Zaupa Remacre Sérgio Sacani Sancevero Anne Elizabeth McCafferty Mônica Mazzini Perrotta 《Hydrogeology Journal》2010,18(4):905-916
Geostatistical modeling, using airborne and borehole electromagnetic data, was used to estimate electrical conductivity in groundwater within fractured paragneisses and migmatites in a semi-arid climate in northeastern Brazil. Despite the geologic heterogeneity of crystalline aquifers, the use of high resolution helicopter electromagnetic (HEM) data enabled the characterization of groundwater electrical conductivity where data from drilled wells were insufficient. The tacit assumption is that HEM measurements can be used to relate rock electrical conductivity to groundwater electrical conductivity. In this study, the HEM data were used as an external drift variable in non-stationary estimation and stochastic simulation to identify the variability of groundwater electrical conductivity. Validation tests, comparing predicted values for groundwater conductivity with measurements in new wells, confirmed the success of these models in locating fresh groundwater sources in crystalline bedrock. 相似文献
2.
Estimating the hydraulic properties of fractured aquifers is challenging due to the complexity of structural discontinuities that can generally be measured at a small scale, either in core or in outcrop, but influence groundwater flow over a range of scales. This modeling study uses fracture scanline data obtained from surface bedrock exposures to derive estimates of permeability that can be used to represent the fractured rock matrix within regional scale flow models. The model is developed using PETREL, which traditionally benefits from high resolution data sets obtained during oil and gas exploration, including for example seismic data, and borehole logging data (both lithological and geophysical). The technique consists of interpreting scanline fracture data, and using these data to generate representative Discrete Fracture Network (DFN) models for each field set. The DFN models are then upscaled to provide an effective hydraulic conductivity tensor that represents the fractured rock matrix. For each field site, the upscaled hydraulic conductivities are compared with estimates derived from pumping tests to validate the model. A hydraulic conductivity field is generated for the study region that captures the spatial variability of fracture networks in pseudo-three dimensions from scanline data. Hydraulic conductivities estimated using this approach compare well with those estimated from pumping test data. The study results suggest that such an approach may be feasible for taking small scale fracture data and upscaling these to represent the aquifer matrix hydraulic properties needed for regional groundwater modeling. 相似文献
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4.
Ward E. Sanford 《Hydrogeology Journal》2017,25(2):405-419
The trend of decreasing permeability with depth was estimated in the fractured-rock terrain of the upper Potomac River basin in the eastern USA using model calibration on 200 water-level observations in wells and 12 base-flow observations in subwatersheds. Results indicate that permeability at the 1–10 km scale (for groundwater flowpaths) decreases by several orders of magnitude within the top 100 m of land surface. This depth range represents the transition from the weathered, fractured regolith into unweathered bedrock. This rate of decline is substantially greater than has been observed by previous investigators that have plotted in situ wellbore measurements versus depth. The difference is that regional water levels give information on kilometer-scale connectivity of the regolith and adjacent fracture networks, whereas in situ measurements give information on near-hole fractures and fracture networks. The approach taken was to calibrate model layer-to-layer ratios of hydraulic conductivity (LLKs) for each major rock type. Most rock types gave optimal LLK values of 40–60, where each layer was twice a thick as the one overlying it. Previous estimates of permeability with depth from deeper data showed less of a decline at <300 m than the regional modeling results. There was less certainty in the modeling results deeper than 200 m and for certain rock types where fewer water-level observations were available. The results have implications for improved understanding of watershed-scale groundwater flow and transport, such as for the timing of the migration of pollutants from the water table to streams. 相似文献
5.
Prediction of pore pressure change is an effective tool to properly monitor changes of groundwater flow caused by any construction
work in fractured rock mass. Due to the complexity of hydrogeologic conditions in fractured rock and the scale of interest
of the study domain, prediction of pore pressure changes by numerical models has not been precise enough to meet monitoring
requirements. Considering these problems, a Grey model that combines the finite element method (FEM) and the artificial neural
network (ANN) was developed for more precise prediction of pore pressure changes. In this model, several patterns of pore
pressure changes were calculated by FEM for a simplified hydrogeologic conceptual model at a scale smaller than a representative
elementary volume. The ANN model was then constructed to predict the actual pore pressure change using these FEM results as
inputs. This modeling approach was adopted to predict the pore pressure changes caused by the construction of shafts of Mizunami
Underground Research Laboratory (MIU), Japan. From the results obtained for MIU, it can be concluded that the proposed Grey
model is a powerful tool for monitoring of pore pressure changes. 相似文献
6.
Regional groundwater flow and geochemical evolution in the Amacuzac River Basin,Mexico 总被引：1，自引：0，他引：1
Eric Morales-Casique Jacobo Guinzberg-Belmont Adrián Ortega-Guerrero 《Hydrogeology Journal》2016,24(7):1873-1890
An approach is presented to investigate the regional evolution of groundwater in the basin of the Amacuzac River in Central Mexico. The approach is based on groundwater flow cross-sectional modeling in combination with major ion chemistry and geochemical modeling, complemented with principal component and cluster analyses. The hydrogeologic units composing the basin, which combine aquifers and aquitards both in granular, fractured and karstic rocks, were represented in sections parallel to the regional groundwater flow. Steady-state cross-section numerical simulations aided in the conceptualization of the groundwater flow system through the basin and permitted estimation of bulk hydraulic conductivity values, recharge rates and residence times. Forty-five water locations (springs, groundwater wells and rivers) were sampled throughout the basin for chemical analysis of major ions. The modeled gravity-driven groundwater flow system satisfactorily reproduced field observations, whereas the main geochemical processes of groundwater in the basin are associated to the order and reactions in which the igneous and sedimentary rocks are encountered along the groundwater flow. Recharge water in the volcanic and volcano-sedimentary aquifers increases the concentration of HCO3 –, Mg2+ and Ca2+ from dissolution of plagioclase and olivine. Deeper groundwater flow encounters carbonate rocks, under closed CO2 conditions, and dissolves calcite and dolomite. When groundwater encounters gypsum lenses in the shallow Balsas Group or the deeper Huitzuco anhydrite, gypsum dissolution produces proportional increased concentration of Ca2+ and SO4 2–; two samples reflected the influence of hydrothermal fluids and probably halite dissolution. These geochemical trends are consistent with the principal component and cluster analyses. 相似文献
7.
Stochastic continuum modeling of flow and transport in a crystalline rock mass: Fanay-Augères,France, revisited 总被引：1，自引：0，他引：1
A stochastic discrete-fracture model was used by Cacas et al.a,b to interpret flow measurements and transport experiments in a fractured crystalline rock mass at Fanay-Augères. They considered continuum models to be incapable of properly interpreting small-scale measurements or tracer tests in fractured systems, which, in their view, require three-dimensional modeling of numerous discrete channels; in their opinion, continuum modeling applies only to average flow on a relatively large scale. Cacas et al. considered their discrete fracture model to have been validated by its demonstrated ability to reproduce selected experimental results. In this paper, flow and transport at Fanay-Augères are modeled by viewing the fractured rock as a stochastic continuum in a manner originally proposed by Neumanc,d. The stochastic continuum approach obviates the need for detailed information about fracture geometry or assumptions about how individual fractures control flow and transport. All it requires is the delineation of a few dominant features, which can be embedded into the stochastic continuum model as heterogeneous porous slabs. Though a fault zone has been identified at the Fanay-Augères experimental site, it has been modeled neither by Cacas et al. nor in this paper. In fact, in this paper, a larger selection of experimental results than those considered by Cacas et al. are reproduced merely by modeling the rock as a statistically homogeneous continuum in two dimensions. These results demonstrate that a continuum approach may be well suited for the analysis of flow and transport in fractured rock. This does not constitute a validation of the continuum approach, just as the results of Cacas et al. fall short of validating the discrete fracture approach. Instead, the two sets of results illustrate jointly the well-established principle that an open system, especially one as complex as fractured hydrogeologic environments tend to be, cannot be described uniquely on the basis of sparse data and need not be described in great detail to capture its salient behavior by a model.a Cacas MC, Ledoux E, de Marsily G, Barbreau A, Calmels P, Gaillard B, Margritta R (1990a) Modelling fracture flow with a stochastic discrete fracture network: calibration and validation. 1. The flow model. Water Resour Res 26(3):479–489b Cacas MC, Ledoux E, de Marsily G, Barbreau A, Calmels P, Gaillard B, Margritta R (1990b) Modelling fracture flow with a stochastic discrete fracture network: calibration and validation. 2. The transport model. Water Resour Res 26(3):491–500c Neuman SP (1987) Stochastic continuum representation of fractured rock permeability as an alternative to the REV and fracture network concepts, in Rock Mechanics. In: Farmer IW, Daemen JJK, Desai CS, Glass CE, Neuman SP (eds) Proceedings of the 28th U.S. Symposium, Tucson, Arizona. Balkema, Rotterdam, pp 533–561d Neuman SP (1988) A proposed conceptual framework and methodology for investigating flow and transport in Swedish crystalline rocks. SKB Swedish Nuclear Fuel and Waste Management Co., Stockholm, September, Arbetsrapport 88–37, 39 pp 相似文献
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9.
忻州盆地边山岩溶水与盆地孔隙水存在密切的水力联系,岩溶水系统的圈划与分析对盆地孔隙水资源评价十分重要。文章运用地下水系统分析理论,基于地理信息系统技术,定量提取区域地质(岩相古地理、地层与构造)和水文地质信息,绘制了基于区域隔水底板等高线图、典型剖面图、盆地-山区两壁投影图等信息的岩溶水系统图;运用岩溶水系统图分析得出下马圈泉岩溶水系统与盆地孔隙水存在间接汇水、潜流和河流(泉)渗漏等补给关系,并给出了补给量的计算方法,为忻州盆地地下水资源评价与定量模拟提供了新的水文地质依据与基础。 相似文献
10.
Wang Mingyu The University of Arizona Tucson Arizona USA Department of Water Resources Environmental Engineering China University of Geosciences Beijing Chen Jinsong Wan Li Department of Water Resources Environmental Engineering 《中国地质大学学报(英文版)》2001,12(3)
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11.
裂隙介质渗透结构表现为高度的非均质性与各项异性。为了科学有效地预测某核工程场地裂隙地下水的流动规律,揭示裂隙岩体地下水的渗流特性,笔者等采用Pilot Point调参方法与null space Monte Carlo方法（NSMC）,开展了裂隙岩体渗透结构的不确定性分析研究,构建了符合实际水文地质条件的多个渗流数值模型集合。结果表明：该方法获得的各个实现地下水位模拟结果能够与实际观测数据较好吻合,可反映工程场地裂隙地下水动力特征与流动趋势;各个实现的参数化渗透结构在空间上存在一定的差异性,但整体变化趋势是保持一致的,渗透参数的不确定性表现为在实测数据分布区域相对较低,钻孔空白区域相对较高;该方法可以弥补单一、确定性模拟结果在表征裂隙介质渗透结构方面的局限性,有效地降低模型参数的不确定性与随机性。此方法对进一步提升裂隙岩体渗流模拟精度与预测能力,深化裂隙地下水迁移规律的认识具有重要的意义。 相似文献
12.
Controls on groundwater flow in the Bengal Basin of India and Bangladesh: regional modeling analysis 总被引：2，自引：0，他引：2
Groundwater for domestic and irrigation purposes is produced primarily from shallow parts of the Bengal Basin aquifer system (India and Bangladesh), which contains high concentrations of dissolved arsenic (exceeding worldwide drinking water standards), though deeper groundwater is generally low in arsenic. An essential first step for determining sustainable management of the deep groundwater resource is identification of hydrogeologic controls on flow and quantification of basin-scale groundwater flow patterns. Results from groundwater modeling, in which the Bengal Basin aquifer system is represented as a single aquifer with higher horizontal than vertical hydraulic conductivity, indicate that this anisotropy is the primary hydrogeologic control on the natural flowpath lengths. Despite extremely low hydraulic gradients due to minimal topographic relief, anisotropy implies large-scale (tens to hundreds of kilometers) flow at depth. Other hydrogeologic factors, including lateral and vertical changes in hydraulic conductivity, have minor effects on overall flow patterns. However, because natural hydraulic gradients are low, the impact of pumping on groundwater flow is overwhelming; modeling indicates that pumping has substantially changed the shallow groundwater budget and flowpaths from predevelopment conditions. 相似文献
13.
Michael J. Friedel 《Hydrogeology Journal》2016,24(8):2103-2122
Numerical models provide a way to evaluate groundwater systems, but determining the hydrostratigraphic units (HSUs) used in constructing these models remains subjective, nonunique, and uncertain. A three-step machine-learning approach is proposed in which fusion, estimation, and clustering operations are performed on different data sets to arrive at HSUs at different scales. In step one, data fusion is performed by training a self-organizing map (SOM) with sparse borehole hydrogeologic (lithology, hydraulic conductivity, aqueous field parameters, dissolved constituents) and geophysical (gamma, spontaneous potential, and resistivity) measurements. Estimation is handled by iterative least-squares minimization of the SOM quantization and topographical errors. Application of the Davies-Bouldin criteria to k-means clustering of SOM nodes is used to determine the number and location of discontinuous borehole HSUs with low lateral density (based on borehole spacing at 100 s m) and high vertical density (based on cm-scale logging). In step two, a scaling network is trained using the estimated borehole HSUs, airborne electromagnetic measurements, and numerically inverted resistivity profiles. In step three, independent airborne electromagnetic measurements are applied to the scaling network, and the estimation performed to arrive at a set of continuous HSUs with high lateral density (based on sounding locations at meter (m) spacing) and medium vertical density (based on m-layer modeled structure). Performance metrics are used to evaluate each step of the approach. Efficacy of the proposed approach is demonstrated to map local-to-regional scale HSUs using hydrogeophysical data collected at a heterogeneous surficial aquifer in northwestern Nebraska, USA. 相似文献
14.
The salinity of groundwater in an estuarine delta plain is sometimes related to the presence of an estuarine dam. To understand groundwater processes and salinity variation, time series data on the river water level, groundwater level, and groundwater electrical conductivity were collected for the Nakdong River in southeastern Republic of Korea. Sampling was undertaken upstream of the estuarine barrage system, which is opened and closed depending on upstream flow and seawater level. Comprehensive correlation analysis was performed between the groundwater and river water levels using bubble plots between groundwater electrical conductivity and the hydrological variables. Comparative analysis between the correlations and the field measurements of the hydrological variables indicated a negligible flux connection between the river and groundwater. Oscillatory pressure wave propagation from the river boundary explains the response patterns of the groundwater level. There were different response times for the rising and falling of the river water. Electrical conductivity in groundwater is not directly associated with that of the river except in one well close to the river boundary. The response patterns of groundwater electrical conductivity were explained by potential anthropogenic activity. Further transfer modeling results also indicate a spatial explanatory response pattern for the groundwater level. No spatial patterns in the models of electrical conductivity indicate that the hydrological processes are different with respect to the groundwater level and electrical conductivity.
相似文献15.
利用RQD估算岩体不同深度的平均渗透系数和平均变形模量 总被引：2，自引：1，他引：1
渗透系数是进行裂隙岩体渗流模拟的必备参数,变形模量是工程岩体数值模拟的必备参数。大量研究中忽视了渗透系数和变形模量随深度变化这一重要规律,从而影响模拟结果的可靠性。为此,探讨了利用极易获取的RQD（岩石质量指标）资料估算不同深度的渗透系数和变形模量的可行性。通过以某花岗岩体为例,研究发现,RQD均值随深度增大,渗透系数均值随深度减小,其相关性很好。因此,利用RQD估算不同深度的平均渗透系数是可行的。根据RQD随深度的变化,利用经验公式估算了不同深度的变形模量均值和变化范围。估算得到的变形模量与实测结果基本一致。 相似文献
16.
《Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy》2000,25(2):195-200
In the present paper we study the possibility of using joint quantitative interpretation of experimental electromagnetic and seismic data for lithospheric studies and to establish the situations in which the joint inversion of seismic and EM experimental data is possible. For this purpose a theoretical model of a solid-liquid rock mixture with fractal structure of grain-to-grain contact (Bahr, 1997; Spangenberg, 1998) was used to investigate dependence of elastic and electrical properties on rock microstructure. The electrical conductivity and seismic wave velocity were estimated by Monte-Carlo modeling for low porosity water-saturated crystalline rock and olivine-partially molten basalt system. It was shown that both elastic properties and conductivity of solid-liquid rock mixture depend non-linearly upon two main common factors, i.e. amount of liquid phase and fractal rock microstructure that is controlled by the degree of contact between grains. The dependence of rock physical macroproperties (seismic velocities, electrical conductivity and seismic and electrical anisotropy) upon these two main factors makes it possible to construct algorithms for joint quantitative interpretation of experimental seismic and electromagnetic data. 相似文献
17.
Fatoumata Barry Duke Ophori Jeffrey Hoffman Robert Canace 《Environmental Geology》2009,56(8):1593-1603
Delineating capture zones of pumping wells is an important part of safe drinking water and well protection programs. Capture
zones or contributing areas of a groundwater extraction well are the parts of the aquifer recharge areas from which the wells
draw their water. Their extent and location depend on the hydrogeologic conditions such as groundwater recharge, pumping scenario
and the aquifer properties such as hydraulic conductivity, porosity, heterogeneity of the medium and hydraulic gradient. Different
methods of delineation can be used depending on the complexity of the hydrogeologic conditions. In this study, a 3-dimensional
transient numerical MODFLOW model was developed for the Central Passaic River Basin (CPRB), and used with a MODPATH particle
tracking code to determine 3-dimensional transient capture zones. Analytically calculated capture zones from previous studies
at the site were compared with the new numerically simulated capture zones. The study results revealed that the analytical
solution was more conservative, estimating larger capture zones than the numerical models. Of all the parameters that can
impact the size, shape and location of a capture zone, the hydraulic conductivity is one of the most critical. Capture zones
tend to be smaller in lower hydraulic conductivity areas. 相似文献
18.
Constraining fault-zone hydrogeology through integrated hydrological and geoelectrical analysis 总被引：1，自引：1，他引：0
Lyndsay B. Ball Shemin Ge Jonathan Saul Caine André Revil Abderrahim Jardani 《Hydrogeology Journal》2010,18(5):1057-1067
The hydrogeologic influence of the Elkhorn fault in South Park, Colorado, USA, is examined through hydrologic data supplemented by electrical resistivity tomography and self-potential measurements. Water-level data indicate that groundwater flow is impeded by the fault on the spatial scale of tens of meters, but the lack of outcrop prevents interpretation of why the fault creates this hydrologic heterogeneity. By supplementing hydrologic and geologic data with geoelectrical measurements, further hydrogeologic interpretation is possible. Resistivity profiles and self-potential data are consistent with the interpretation of increased fracturing within 70 m of the fault. Further interpretation of the fault zone includes the possibility of a vertical groundwater flow component in a fractured and relatively high permeability damage zone and one or more relatively low permeability fault cores resulting in a conduit-barrier behavior of the fault zone at the meter to tens-of-meters scale. Calculated hydraulic heads from the self-potential data reveal additional complexity in permeability structure, including a steeper hydraulic gradient immediately west of the interpreted fault trace than suggested by the well data alone. 相似文献
19.
Mountain Lake in Giles County, Virginia, USA, has a documented history of severe natural lake-level changes involving groundwater seepage that extends over the past 4,200?years. The natural lake was full during a large part of the twentieth century but dried up completely in September 2008 and levels have yet to recover. The objective of the study was to understand the hydrogeologic factors that influence lake-level changes using a daily water balance, electrical resistivity, water sampling and geochemical analysis, and well logging. Results from the water balance demonstrate the seasonal response to precipitation of a forested first-order drainage system in fractured rock. The resistivity surveys suggest discrete high-permeability areas may provide pathways for lake drainage. Imagery, well logs, and field observations appear to confirm the presence of a fault which crosses the Eastern Continental Divide to the east of the lake that had not previously been discussed in literature on the lake; the position of the lake within local and intermediate groundwater flow systems is considered. Historical data suggest that either significant precipitation or artificial intervention to mitigate seepage would be required for lake-level recovery in the near future. 相似文献
20.
基于离散裂隙网络模型的裂隙水渗流计算 总被引：1，自引：1，他引：0
离散裂隙网络模型(Discrete Fracture Network（DFN）)是研究裂隙水渗流最为有效的手段之一。文章根据裂隙几何参数和水力参数的统计分布,利用Monte Carlo随机模拟技术生成二维裂隙网络,基于图论无向图的邻接矩阵判断裂隙网络的连通,利用递归算法提取出裂隙网络的主干网或优势流路径。基于立方定律和渗流连续性方程,利用数值解析法建立了二维裂隙网络渗流模型,分析不同边界条件下裂隙网络中的流体流动。结果表明,该方法可以模拟区域宏观水力梯度和边界条件下,裂隙网络水力梯度方向总的流量,以及节点的水位、节点间的流量和流动方向的变化特征,为区域岩溶裂隙水渗流计算提供了一种实用、可行的方法。 相似文献