Relevant bibliographies by topics / Groundwater flow Computer simulation

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Groundwater flow Computer simulation'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "Groundwater flow Computer simulation"

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VAN HERWAARDEN, ONNO A., and JOHAN GRASMAN. "DISPERSIVE GROUNDWATER FLOW AND POLLUTION." Mathematical Models and Methods in Applied Sciences 01, no. 01 (March 1991): 61–81. http://dx.doi.org/10.1142/s0218202591000058.

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By solving asymptotically the Dirichlet problem for the backward Kolmogorov equation describing the random walk of a particle in a dispersive flow, it is computed at what rate contaminated particles cross the boundary of a protected zone. The method also yields an estimate of the expected arrival time.
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Wang, Yan, Wen Xia Wei, Hui Ling Han, and Ying Wang. "Groundwater Migration Modeling and Parameter Sensitivity Analysis on Contaminated Site." Advanced Materials Research 878 (January 2014): 775–81. http://dx.doi.org/10.4028/www.scientific.net/amr.878.775.

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Contamination control and remediation of groundwater is one of the hotness points in environmental protection field. Groundwater contamination numerical simulation is widely used for groundwater contamination transportation. In this paper, we constructed an indoor sandbox to conduct hydraulic control experiment and tracer experiment. We also set up groundwater flow model and solute transport model by computer and chose the model's key parameters for sensitivity analysis. The results indicated that the sensitivity of hydraulic conductivity was highest, which was the key parameter in the groundwater flow model. The sensitivity analysis of solute transport model parameters showed that sensitivity from large to small was: longitudinal dispersion, porosity and hydraulic conductivity. This study can obtain the main parameters in groundwater simulation model and is helpful for the construction of groundwater contamination migration model.
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Ji, Xiaohui, Tangpei Cheng, and Qun Wang. "CUDA-based solver for large-scale groundwater flow simulation." Engineering with Computers 28, no. 1 (February 19, 2011): 13–19. http://dx.doi.org/10.1007/s00366-011-0213-2.

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Kupfersberger, Hans, Gerhard Rock, and Johannes C. Draxler. "Combining Groundwater Flow Modeling and Local Estimates of Extreme Groundwater Levels to Predict the Groundwater Surface with a Return Period of 100 Years." Geosciences 10, no. 9 (September 18, 2020): 373. http://dx.doi.org/10.3390/geosciences10090373.

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Knowledge about extreme groundwater levels is needed to avoid structural or environmental damage by groundwater flooding. Typically, distributions of extreme groundwater levels are generated by interpolation between results derived from local extreme value analysis at groundwater observation wells. As an alternative methodology, we propose to apply the Gumbel distribution to groundwater level time series, which are computed by a groundwater flow model. In the approach, model-based and observation-based extreme groundwater values are compared at every observation well using the model simulation period and the longest available observation period to calculate correction values that are regionalized over the model area. We demonstrate the applicability of the approach at the Südliches Wiener Becken (SWB) aquifer south of Vienna, where a groundwater flow model between 1993 to 2017 is available to compute the distribution of the groundwater levels with a hundred year return period (GLsWHYRP). We could show that the resulting GLsWHYRP are generally increased in regions of groundwater recharge and decreased in regions of groundwater discharge. The developed approach can also be used to assess the impact of changing boundary conditions on groundwater level and extreme highs and lows based on corresponding model scenarios.
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Lei, Xinbo, Xiuhua Zheng, Chenyang Duan, Jianhong Ye, and Kang Liu. "Three-Dimensional Numerical Simulation of Geothermal Field of Buried Pipe Group Coupled with Heat and Permeable Groundwater." Energies 12, no. 19 (September 27, 2019): 3698. http://dx.doi.org/10.3390/en12193698.

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The flow of groundwater and the interaction of buried pipe groups will affect the heat transfer efficiency and the distribution of the ground temperature field, thus affecting the design and operation of ground source heat pumps. Three-dimensional numerical simulation is an effective method to study the buried pipe heat exchanger and ground temperature distribution. According to the heat transfer control equation of non-isothermal pipe flow and porous media, combined with the influence of permeable groundwater and tube group, a heat-transfer coupled heat transfer model of the buried pipe group was established, and the accuracy of the model was verified by the sandbox test and on-site thermal response test. By processing the layout of the buried pipe in the borehole to reduce the number of meshes and improve the meshing quality, a three-dimensional numerical model of the buried pipe cluster at the site scale was established. Additionally, the ground temperature field under the thermal-osmotic coupling of the buried pipe group during groundwater flow was simulated and the influence of the head difference and hydraulic conductivity on the temperature field around the buried pipe group was calculated and analyzed. The results showed that the research on the influence of the tube group and permeable groundwater on the heat transfer and ground temperature field of a buried pipe simulated by COMSOL software is an advanced method.
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Zhao, Ying Wang, Xue Yuan Li, Shi Lei Chen, and Kai Bian. "Groundwater Flow Field Analysis and 3D Visualization System." Advanced Materials Research 1073-1076 (December 2014): 1664–68. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.1664.

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According to the low accuracy of velocity filed in current software, we develop a new system to analyze and visualize the 3D groundwater flow field. We employ the most advanced algorithm to deal with the data form groundwater simulation. The system could compute the flux across arbitrary face and the velocity of arbitrary point in the research domain. The system is debugged in Microsoft Visual Studio. The interactive interface is developed in .Net and the visualization tool is OpenGL. The application shows that the system is robust.
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Ryu, Han-Sun, Jinah Moon, Heejung Kim, and Jin-Yong Lee. "Modeling and Parametric Simulation of Microplastic Transport in Groundwater Environments." Applied Sciences 11, no. 16 (August 4, 2021): 7189. http://dx.doi.org/10.3390/app11167189.

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Efforts to reduce the toxic effects of microplastics (MPs) on the environment have increased globally in recent years. However, the existing models used for the simulation of contaminant transport in groundwater are meant for dissolved substances, which is not suitable for studying MPs. Therefore, in this study, the transport of MPs in a saturated porous medium was modeled by establishing governing equations. Simulations were performed using the finite element method to examine the effects of the parameters of the governing equations on the transport of MPs. The results suggest that it is necessary to reduce the diffusivity of MPs and increase the water flow velocity, porosity, and first-order attachment coefficient to effectively contain this environmental hazard. From the simulation results, it can be derived that a combination of low diffusivity, fast water flow velocity, and high soil porosity may reduce the amount of MPs that are leaked into groundwater environments. The modeling and simulations performed in this study provide a clear understanding of the transport phenomena of MPs with applications in combating water pollution.
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Fischer, T., D. Naumov, S. Sattler, O. Kolditz, and M. Walther. "GO2OGS 1.0: a versatile workflow to integrate complex geological information with fault data into numerical simulation models." Geoscientific Model Development 8, no. 11 (November 12, 2015): 3681–94. http://dx.doi.org/10.5194/gmd-8-3681-2015.

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Abstract. We offer a versatile workflow to convert geological models built with the ParadigmTM GOCAD© (Geological Object Computer Aided Design) software into the open-source VTU (Visualization Toolkit unstructured grid) format for usage in numerical simulation models. Tackling relevant scientific questions or engineering tasks often involves multidisciplinary approaches. Conversion workflows are needed as a way of communication between the diverse tools of the various disciplines. Our approach offers an open-source, platform-independent, robust, and comprehensible method that is potentially useful for a multitude of environmental studies. With two application examples in the Thuringian Syncline, we show how a heterogeneous geological GOCAD model including multiple layers and faults can be used for numerical groundwater flow modeling, in our case employing the OpenGeoSys open-source numerical toolbox for groundwater flow simulations. The presented workflow offers the chance to incorporate increasingly detailed data, utilizing the growing availability of computational power to simulate numerical models.
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Wu, Yue, Yan-Zhi Li, Wei-Guo Qiao, Zhen-Wang Fan, Shuai Zhang, Kui Chen, and Lei Zhang. "Water Seepage in Rocks at Micro-Scale." Water 14, no. 18 (September 11, 2022): 2827. http://dx.doi.org/10.3390/w14182827.

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To complete groundwater diversion, the complex flow law of groundwater in rocks must be investigated so that groundwater diversion can be improved. This research uses the computer finite element method (FEM), CT scanning calculation method, Avizo method, and digital core technology combined with the Fluent calculation method (FCM) to reconstruct rocks with microscopic pore structures on a computer. The numerical simulation results under different conditions show that: the total pressure change gradually decreases under different pressure gradients. In a seepage channel, the seepage path does not change with the change in seepage pressure, and the seepage velocity is the largest in the center of the pore. The longer the seepage path is, the greater the decrease in seepage velocity. Different seepage directions have similar seepage laws. The research results provide effective guidance for the project to control groundwater.
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Xueya, Lin, and Yang Yuesuo. "The Optimization of Ground Water Supply System in Shi Jiazhuang City, China." Water Science and Technology 24, no. 11 (December 1, 1991): 71–76. http://dx.doi.org/10.2166/wst.1991.0338.

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This paper established a response function of groundwater level using the principle of superposition formed a response matrix which combined the simulation model of groundwater flow system and the optimization model of groundwater supply system. The calculation was carried out by micro-computer. Two methods were used to determine the unit pulse value so as to calculate more accurate response coefficients. Based on the hydrogeologic conceptual model of the study area, a management model for optimization of groundwater supply system was established under the conditions of not only meeting the increasingly growing need of water supply but also controlling or eliminating the various hazards caused by overpumping of groundwater, and a practical, feasible and comprehensive decision making plan was also put forward for Shi Jiazhuang city.
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Dissertations / Theses on the topic "Groundwater flow Computer simulation"

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Wiyo, Kenneth Alfred Wiskot. "Measurements and modelling of fertilizer concentrations in subsurface drain flow from a potato field." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=60542.

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A 4.87 hectare potato field at St. Leonard d'Aston, Quebec was instrumented to measure surface runoff and tile drain flow over the 2 year growing season period, 1989-1990. The soil type was a Ste. Jude sandy loam. Several soil and water parameters and NPK concentrations in runoff were measured. The CREAMS (Chemicals, Runoff and Erosion from Agricultural Management Systems) computer simulation model was validated for the study site.
Observed N concentrations in tile drain flow exceeded the Canadian water quality guideline of 10 mg/L. Observed P concentrations were less than 0.01 mg/L; and K concentrations, for the most part, exceeded 10 mg/L.
CREAMS overpredicted event surface runoff depths, and underpredicted event percolation depths. However, total monthly surface runoff and percolation depths closely matched observed values.
CREAMS overpredicted event nitrate concentrations in tile drain flow. There was a poor match between predicted and observed event nitrate concentrations in tile drain flow (coefficient of predictability, CP$ sb{ rm A}$ = 104.95). However, predicted total monthly nitrate load closely matched observed values (CP$ sb{ rm A}$ = 0.84). Total monthly and seasonal nitrate loads in tile drain flow were underpredicted.
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Woods, Juliette Aimi. "Numerical accuracy of variable-density groundwater flow and solute transport simulations." Title page, contents and abstract only, 2004. http://web4.library.adelaide.edu.au/theses/09PH/09phw8941.pdf.

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Colautti, Dennis. "Modelling meteorological and substrate influences on peatland hydraulic gradient reversals." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33734.

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A hydrological modelling effort using MODFLOW was undertaken in order to determine the relative importance of some of the factors influencing hydraulic gradient reversals in peatlands. Model domains were of two types, large raised bog type (LRBT) and kettle bog type (KBT), and were made to undergo various levels of meteorological forcing (water deficit). Substrate, too, was varied in order to determine its importance on reversals. Domain-wide reversals were successfully simulated in LRBT systems, but not in KBT systems. Although simulated flow patterns matched field-observed patterns, both pre- and post-drought, simulated reversals occurred more quickly than in the field. This may be due to insufficiently distributed parameters, such as hydraulic conductivity. Reversals were easily terminated by simulating non-drought conditions. In the LRBT system, reversal duration decreased, and time-to-reversal increased, with a decrease in drought severity. Increasing drought severity in KBT systems had the opposite effect on the duration of semi-reversed flow patterns, suggesting a possibly different/additional mechanism for flow reversals in KBT systems. Hydraulic conductivity had an appreciable effect on flow reversal evolution, though neither changing porosity, nor differences in catotelm layering had a great effect.
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Singhal, Alka. "Spatial variability in ground-water movement in Delaware County, Indiana : a GIS based model." Virtual Press, 2004. http://liblink.bsu.edu/uhtbin/catkey/1306859.

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A study was undertaken to better understand the hydrogeologic framework of the Delaware County, Indiana. Arc View GIS 3-D and Spatial Analysts along with VISUAL MODFLOW are used to study the flow patterns by developing a 3-D model of major aquifers in the county, both glacial and bedrock. The GIS platform facilitates the time consuming task of preparing data input and output. In addition, major recharge zones are also identified in GIS using soil and slope data.The bedrock of Delaware County is composed of Silurian bedrock, which is overlain by glacial drift. The drift is mostly till that is interbedded with eight sand and gravel layers which are horizontal and discontinuous. Both, bedrock and sand & gravel glacial aquifers are good sources of groundwater in the county. More than 3000 water wells are located in the area. It is very interesting to note that 50% of the water-wells in the area are in confined sand and gravel and the remaining wells are in carbonaceous bedrock. The bedrock contains numerous preglacial karsts valley systems which are areas of high transmissivity solution features, also adding further interest to modeling this region.The hydraulic conductivity of sand and gravel is assumed to be 0.0015 m/s whereas for bedrock 0.00025 m/s is used. The streambeds in the area are also the source of groundwater discharge. The hydraulic conductivity of streambed is equal to 0.00028 m/s. Recharge to the area occurs as net recharge, which varies spatially depending on the nature of soil.Several simplifying assumptions were made for the conceptualization and simulation of flow in the basins. The main assumptions are as follows: 1) groundwater is in steady-state, 2) pumping does not significantly affect the level of hydraulic heads; therefore only high capacity pumping wells are simulated, 3) Net recharge from precipitation varies spatially, 4) flow in the bedrock aquifer occurs in the uppermost 40 m and is horizontal 5) vertical flow is assumed to be controlled by intervening sand and gravel units. Ground-water flow in the basins was conceptualized as a three-dimensional flow system. The model boundaries selected to represent natural hydrologic boundaries include (1) river leakage boundaries along major rivers; (2) a constant head boundary around the aquifer boundaries; (3) a general head boundary along the major streams; (4) drain boundaries along major drains; and 5) Evapotranspiration losses.The simulated region is an area of 398 square miles. The model consists of over 3600 cells and employed a regular grid spacing of 6o x 60. A variable grid was designed to provide additional detail in areas of special interest and thus allowed these areas to be simulated more accurately in the model.The model was calibrated using a manual trial-and-error adjustment of parameters. Hydraulic conductivity values, and streambed conductance were adjusted during successive simulations until the flow pattern matches the regional flow direction as computed from the water-well derived (static water level) potentiometric surface. The computed potentiometric surface is an adequate or reasonable match on a regional scale, with the general trend of SE-NW. It is observed that the model is extremely sensitive to changes in horizontal hydraulic conductivity and recharge in the form of precipitation. The model is least sensitive to streambed vertical hydraulic conductivity.The water budget for the calibrated model represents the distribution of groundwater inflow and outflow during calibration. The data indicate that 16.5% of the inflow to the modeled groundwater system is flow across model boundaries and 83% from effective recharge from precipitation, and the rest from streams and rivers. Outflow consists of 2% pumpage, 5% seepage to streams and drains, and 93% is flow across boundaries.It is expected that this study will be beneficial to improve the understanding of groundwater in Delaware County, including both vertical and horizontal flow and interaction of flow between surface and groundwater. Also, the results of the modeling study can be used as a predictive tool for long-term management and monitoring of water resources in the region.
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Lee, Chun-kwong, and 李振光. "Computer modelling and simulation of geothermal heat pump and ground-coupled liquid desiccant air conditioning systems in sub-tropicalregions." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B41290768.

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Lee, Chun-kwong. "Computer modelling and simulation of geothermal heat pump and ground-coupled liquid desiccant air conditioning systems in sub-tropical regions." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B41290768.

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Wang, Li. "Simulation of soil water movement model (SWaMM) using the Spider Distributed System." CSUSB ScholarWorks, 2003. https://scholarworks.lib.csusb.edu/etd-project/2419.

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This project implements a real application on the Spider II, which is a simulation of Soil Water Movement Model. The main objectives of this project were to develop a parallel and distributed algorithm for the Soil Water Model; implement the Soil Water Movement Simulation model on the Spider II distributed system and to evaluate the performance of simulating the Soil Water Movement Model on Spider II.
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Silliman, Stephen Edward Joseph 1957. "Stochastic analysis of high-permeability paths in the subsurface." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/191120.

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Subsurface fluids may travel along paths having a minimum permeabilility greater than the effective permeability of the rock. This may have an important impact on contaminant migration. A stochastic approach related to percolation theory is advanced to address the question of what is the probability that a high permeability path extends across a given volume of the subsurface. The answer is sought numerically through subdividing the volume of interest into a three-dimensional grid of elements and assigning a random permeability to each element. Four permeability processes are considered: 1) Stationary with independence between grid elements; 2) Stationary and autocorrelated; 3) Nonstationary due to conditioning on measured values; and 4) Random rock volume included in grid. The results utilizing data from fractured granites suggest that in large grids, at least one path having a minimum permeability in excess of the "effective" rock permeability will cross the grid. Inclusion of autocorrelation causes an increase in the expected value of the minimum permeability of such a path. It also results in a significantly increased variance of this permeability. Conditioning on field permeabilities reduces the variance of this value over that obtained by unconditional, correlated simulation, but still produces a variance greater than that obtained when independence was assumed. When conditioning is performed, the mean of the minimum permeabilities along these paths is dependent on the principal axis of the path. Finally, including a random rock volume by allowing the length of the grid to be random increases the variance of the minimum permeability.
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Baron, Dirk. "Analysis and Numerical Simulation of the Ground Water System at the Bonneville Navigation Lock Site, Oregon." PDXScholar, 1990. https://pdxscholar.library.pdx.edu/open_access_etds/4027.

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As part of the new navigation lock for Bonneville Dam a new water source for the Bonneville Fish Hatchery must be supplied. The hatchery is located on the Oregon side of the Columbia River downstream of the dam. It requires large quantities of water free from chemical and biological contamination. In addition, the water has to be in a narrow temperature range. Currently the fish hatchery receives its water from a well field that is located on the alluvial terrace downstream of Bonneville Dam. The well field lies in the proposed approach channel for the new lock and has to be abandoned during construction of the lock. For the continued water supply of the hatchery, a new well field will be developed north of the approach channel. Early in the planning phase for the new lock, concerns were raised about the potential impact of the relocation of the well field and the excavation of the new approach channel on the hatchery. To assess these concerns and to assure a continuous water supply during and after construction, a hydrogeologic investigation was initiated. Within the framework of the investigation this study focuses on the analysis of pumping test data and the development of a three-dimensional ground water flow model for the site. In the first phase of the study, data from eight pumping tests were analyzed. Hydrogeologic properties of the sedimentary units that make up the downstream terrace were determined. The focus was the pre-slide alluvium (PSA) aquifer, the water source for the existing and the future well field. In addition, the nature and location of hydrogeologic boundaries for the ground water system were determined. The results, in conjunction with information from subsurface exploration and laboratory tests, were used to develop a conceptual understanding of the ground water system at the site. The PSA aquifer receives its recharge primarily from leakage through the overlying confining layers over a large area. A direct connection between the Columbia River and the PSA aquifer could not be detected. They appear to be separated by a continuous aquitard layer or by a layer of fine-grained sediments on the river bottom. Based on these findings, in the second phase of the study, the ground water modeling program HST3D (Kipp, 1987) was used to develop a three-dimensional ground water model for the site. The model was calibrated with data from one of the pumping tests. The calibration was then verified with a second set of conditions including pumping from shallow and deep wells. Water levels in the deep PSA aquifer and the shallow unconfined aquifer were successfully matched. A satisfactory match of observed conditions was possible with only slight modifications of the hydrogeologic parameters determined by pumping test analysis and based on the conceptual model developed in the first phase of the study. It appears that a continuous aquitard layer separating the Columbia River and the PSA aquifer, with the aquifer receiving recharge through vertical leakage over a large area, is a valid representation of the aquifer system.
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Pischel, Esther Maria. "Investigating the Link Between Surface Water and Groundwater in the Tule Lake Subbasin, Oregon and California." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/1941.

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Water allocation in the upper Klamath Basin of Oregon and California has been challenging. Irrigators have increasingly turned to groundwater to make up for surface water shortages because of shifts in allocation toward in-stream flows for Endangered Species Act listed fishes. The largest increase in groundwater pumping has been in and around the Bureau of Reclamation's Klamath Irrigation Project, which includes the Tule Lake subbasin in the southern part of the upper Klamath Basin. Previous groundwater flow model simulations indicate that water level declines from pumping may result in decreased flow to agricultural drains in the Tule Lake subbasin. Agricultural drains on the Klamath Project are an important source of water for downstream irrigators and for the Tule Lake and Lower Klamath Lake National Wildlife Refuges. To better assess the impact of increased pumping on drain flow and on the water balance of the groundwater system, flow data from agricultural drains were evaluated to investigate the changes that have taken place in groundwater discharge to drains since pumping volumes increased. Additionally, a fine-grid groundwater model of the Tule Lake subbasin was developed based on the existing regional flow model. The fine-grid model has sufficient vertical and horizontal resolution to simulate vertical head gradients, takes advantage of time-series data from 38 observation wells for model calibration, and allows agricultural drains to be more explicitly represented. Results of the drain flow analysis show that the groundwater discharge to agricultural drains has decreased by approximately 4000 hectare-meters from the 1997-2000 average discharge. Most of this decrease takes place in the northern and southeastern portions of the subbasin. Results of the groundwater model show that the initial source of water to wells is groundwater storage. By 2006, approximately 56% of the water from wells is sourced from agricultural drains.
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Books on the topic "Groundwater flow Computer simulation"

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Groundwater discharge tests: Simulation and analysis. Amsterdam: Elsevier, 1988.

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Ahlfeld, David P. Optimal management of flow in groundwater systems. San Diego, Calif: Academic, 2000.

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Leake, S. A. Procedures and computer programs for telescopic mesh refinement using MODFLOW. Tucson, Ariz: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Reilly, Thomas E. Guidelines for evaluating ground-water flow models. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2004.

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Reilly, Thomas E. Guidelines for evaluating ground-water flow models. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2004.

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Reilly, Thomas E. Guidelines for evaluating ground-water flow models. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2004.

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Reilly, Thomas E. Guidelines for evaluating ground-water flow models. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2004.

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Groundwater modeling utilities. Boca Raton: Lewis Publishers, 1992.

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Heijde, Paul Van der. Ground-water model testing: Systematic evaluation and testing of code functionality and performance. Cincinnati, Ohio: National Risk Management Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1997.

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Heijde, Paul Van der. Ground-water model testing: Systematic evaluation and testing of code functionality and performance. Cincinnati, Ohio: National Risk Management Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1997.

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Book chapters on the topic "Groundwater flow Computer simulation"

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Burger, J., H. J. Brinkhof, and D. v.d. Valk. "Strop: A Computer Program Simulating Flow Patterns and Pollution Migration in Saturated Groundwater." In Groundwater Contamination: Use of Models in Decision-Making, 253–61. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2301-0_24.

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Lerche, I., and E. Paleologos. "Groundwater Flow: Models, Data, and Uncertainties." In Geologic Modeling and Simulation, 247–69. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1359-9_13.

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Rai, Shivendra Nath. "Modeling Groundwater Flow in Unconfined Aquifers." In Simulation Foundations, Methods and Applications, 187–210. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05657-9_9.

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Kinzelbach, Wolfgang. "The Random Walk Method in Pollutant Transport Simulation." In Groundwater Flow and Quality Modelling, 227–45. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2889-3_15.

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Singh, Mritunjay Kumar, and Priyanka Kumari. "Contaminant Concentration Prediction Along Unsteady Groundwater Flow." In Simulation Foundations, Methods and Applications, 257–75. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05657-9_12.

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Yamashita, Naoki, and Satoru Sugio. "Numerical Simulation of Nitrate Transport with Unsaturated Flow Condition in Volcanic Soils." In Groundwater Updates, 147–52. Tokyo: Springer Japan, 2000. http://dx.doi.org/10.1007/978-4-431-68442-8_25.

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Hinkelmann, Reinhard, Hussam Sheta, Rainer Helmig, Eberhard J. Sauter, and Michael Schlüter. "Numerical Simulation of Water-Gas Flow and Transport Processes in Coastal Aquifers." In Groundwater Updates, 295–300. Tokyo: Springer Japan, 2000. http://dx.doi.org/10.1007/978-4-431-68442-8_49.

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Ataie-Ashtiani, B., S. M. Hassanizadeh, M. Oostrom, and M. D. White. "Numerical Simulation and Homogenization of Two-Phase Flow in Heterogeneous Porous Media." In Groundwater Updates, 333–38. Tokyo: Springer Japan, 2000. http://dx.doi.org/10.1007/978-4-431-68442-8_55.

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Jia, Yangwen, Guangheng Ni, Yoshihisa Kawahara, and Tadashi Suetsugi. "Numerical Simulation of Groundwater Flow in Multi-layered Aquifers with a Distributed Hydrological Model." In Groundwater Updates, 259–64. Tokyo: Springer Japan, 2000. http://dx.doi.org/10.1007/978-4-431-68442-8_43.

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Zijl, W. "Numerical Simulation of Advection in Groundwater Flow Systems." In Contaminated Soil, 165–67. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-5181-5_22.

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Conference papers on the topic "Groundwater flow Computer simulation"

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Hurtis, Radoslav, Peter Guba, and Juraj Kyselica. "Simulation of reactive groundwater flow and salinization in carbonate-rock aquifers." In 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE, 2022. http://dx.doi.org/10.1109/icecet55527.2022.9872944.

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Kato, Kazuyuki, Tadashi Maeda, and Hiroyasu Takase. "Evaluation of Uncertainty Associated With Spatially Variable Properties." In ASME 2003 9th International Conference on Radioactive Waste Management and Environmental Remediation. ASMEDC, 2003. http://dx.doi.org/10.1115/icem2003-4561.

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Uncertainties associated with spatially variable properties of geologic characteristics are especially important. However, these uncertainties cannot be specified in a deterministic manner because the process of formation or evolution of host rock is random and because the limited number of data is available for the statistic evaluation of this random process. We develop the hybrid model of fuzzy geostatistics for the appropriate treatment of uncertainties associated with spatially variable properties. For the application of the above method, we prepared the virtual field with heterogeneous hydraulic conductivity for the simulation of site characterization. In this simulation, we consider the situation that the limited number of boring data is available. The conventional method can determine only one variogram. In this case, uncertainties due to the ignorance are not appropriately handled and the degree of belief for the determined variogram is not specified. For the appropriate treatment of ignorance, we define the possible range of variogram in terms of fuzzy membership functions on the level of conservatism. A large number of heterogeneous hydraulic conductivity fields are realized by using corresponding variograms that sampled from the possible range of variogram. For each realized field, we compute the groundwater flow model and estimate the average flow velocity. Resulting many average flow velocities are processed by fuzzy rule to obtain the membership function of estimated average flow velocity. This can be used as the input data for the hybrid probabilistic and possibilistic safety assessment. Comparing with the previous work, the process of defining the membership function of average flow velocity becomes transparent and the reliability of safety assessment is enhanced.
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Sun, Hongda, Xiaohui Ji, and Xu-Sheng Wang. "Parallelization of groundwater flow simulation on multiple GPUs." In HP3C '19: 2019 the 3rd International Conference on High Performance Compilation, Computing and Communications. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3318265.3318271.

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Changjun Zhu and Zhenchun Hao. "Non-darcy seepage modeling of groundwater flow and its simulation." In 2009 International Conference on Industrial Mechatronics and Automation (ICIMA 2009). IEEE, 2009. http://dx.doi.org/10.1109/icima.2009.5156657.

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Ji, Xiaohui, Tangpei Cheng, and Qun Wang. "A simulation of large-scale groundwater flow on CUDA-enabled GPUs." In the 2010 ACM Symposium. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1774088.1774588.

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Dong, Donglin, Wenjie Sun, and Zengjiang Qian. "Simulation of Groundwater Contamination in Ningzhuang Coalmine, China." In 2010 International Conference on Challenges in Environmental Science and Computer Engineering. IEEE, 2010. http://dx.doi.org/10.1109/cesce.2010.39.

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"Simulation of regional CSG groundwater impacts – errors upscaling & multi-phase flow." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.j9.herckenrath.

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"Role of Wiener chaos expansion in modelling randomness for groundwater contamination flow." In 23rd International Congress on Modelling and Simulation (MODSIM2019). Modelling and Simulation Society of Australia and New Zealand, 2019. http://dx.doi.org/10.36334/modsim.2019.k14.tiwari.

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Du, Chao, Changlai Xiao, Xiujuan Liang, Ji Luo, Tonglin Xu, and Guangjun Guo. "Numerical Simulation of Groundwater Flow for Sustainable Utilization in Jixi City, China." In 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2010. http://dx.doi.org/10.1109/icbbe.2010.5515502.

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Luo, Yaqi, Yu-Feng Forrest Lin, Yu-Feng Forrest Lin, Praveen Kumar, Praveen Kumar, Andrew J. Stumpf, and Andrew J. Stumpf. "SUBSURFACE HEAT TRANSPORT SIMULATION WITH PERIODIC SURFACE TEMPERATURE SIGNALS AND GROUNDWATER FLOW." In 50th Annual GSA North-Central Section Meeting. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016nc-275481.

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Reports on the topic "Groundwater flow Computer simulation"

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Flach, G., L. Bagwell, and P. Bennett. Groundwater flow simulation of the Savannah River Site general separations area. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1392905.

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Malkovsky, V. I., and A. A. Pek. Computer simulation of radionuclide transport through thermal convection of groundwater from borehole repositories. Office of Scientific and Technical Information (OSTI), September 1993. http://dx.doi.org/10.2172/10114732.

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Lee, R. R., R. H. Ketelle, J. M. Bownds, and T. A. Rizk. Calibration of a groundwater flow and contaminant transport computer model: Progress toward model validation. Office of Scientific and Technical Information (OSTI), September 1989. http://dx.doi.org/10.2172/5568205.

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Dobranich, D. SAFSIM theory manual: A computer program for the engineering simulation of flow systems. Office of Scientific and Technical Information (OSTI), December 1993. http://dx.doi.org/10.2172/10115531.

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ELIASSI, MEHDI, and SEAN A. MCKENNA. Long-Term Pumping Test at MIU Site, Toki, Japan: Hydrogeological Modeling and Groundwater Flow Simulation. Office of Scientific and Technical Information (OSTI), March 2003. http://dx.doi.org/10.2172/809104.

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Carle, S., and Y. Hao. Verification and Validation of a Modified Numerical Algorithm for Simulation of Transient Unconfined Groundwater Flow. Office of Scientific and Technical Information (OSTI), February 2022. http://dx.doi.org/10.2172/1843118.

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Pohlmann Karl, Ye Ming. Numerical Simulation of Inter-basin Groundwater Flow into Northern Yucca Flat, Nevada National Security Site, Using the Death Valley Regional Flow System Model. Office of Scientific and Technical Information (OSTI), March 2012. http://dx.doi.org/10.2172/1046487.

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Rockhold, M. L., and S. K. Wurstner. Simulation of unsaturated flow and solute transport at the Las Cruces trench site using the PORFLO-3 computer code. Office of Scientific and Technical Information (OSTI), March 1991. http://dx.doi.org/10.2172/6036996.

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Talbott, M. E., and L. W. Gelhar. Auxiliary analyses in support of performance assessment of a hypothetical low-level waste facility: Groundwater flow and transport simulation. Volume 3. Office of Scientific and Technical Information (OSTI), May 1994. http://dx.doi.org/10.2172/145213.

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Russo, David, and William A. Jury. Characterization of Preferential Flow in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, October 2001. http://dx.doi.org/10.32747/2001.7580681.bard.

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Preferential flow appears to be the rule rather than the exception in field soils and should be considered in the quantitative description of solute transport in the unsaturated zone of heterogeneous formations on the field scale. This study focused on both experimental monitoring and computer simulations to identify important features of preferential flow in the natural environment. The specific objectives of this research were: (1) To conduct dye tracing and multiple tracer experiments on undisturbed field plots to reveal information about the flow velocity, spatial prevalence, and time evolution of a preferential flow event; (2) To conduct numerical experiments to determine (i) whether preferential flow observations are consistent with the Richards flow equation; and (ii) whether volume averaging over a domain experiencing preferential flow is possible; (3) To develop a stochastic or a transfer function model that incorporates preferential flow. Regarding our field work, we succeeded to develop a new method for detecting flow patterns faithfully representing the movement of water flow paths in structured and non-structured soils. The method which is based on application of ammonium carbonate was tested in a laboratory study. Its use to detect preferential flow was also illustrated in a field experiment. It was shown that ammonium carbonate is a more conservative tracer of the water front than the popular Brilliant Blue. In our detailed field experiments we also succeeded to document the occurrence of preferential flow during soil water redistribution following the cessation of precipitation in several structureless field soils. Symptoms of the unstable flow observed included vertical fingers 20 - 60 cm wide, isolated patches, and highly concentrated areas of the tracers in the transmission zone. Soil moisture and tracer measurements revealed that the redistribution flow became fingered following a reversal of matric potential gradient within the wetted area. Regarding our simulation work, we succeeded to develop, implement and test a finite- difference, numerical scheme for solving the equations governing flow and transport in three-dimensional, heterogeneous, bimodal, flow domains with highly contrasting soil materials. Results of our simulations demonstrated that under steady-state flow conditions, the embedded clay lenses (with very low conductivity) in bimodal formations may induce preferential flow, and, consequently, may enhance considerably both the solute spreading and the skewing of the solute breakthrough curves. On the other hand, under transient flow conditions associated with substantial redistribution periods with diminishing water saturation, the effect of the embedded clay lenses on the flow and the transport might diminish substantially. Regarding our stochastic modeling effort, we succeeded to develop a theoretical framework for flow and transport in bimodal, heterogeneous, unsaturated formations, based on a stochastic continuum presentation of the flow and a general Lagrangian description of the transport. Results of our analysis show that, generally, a bimodal distribution of the formation properties, characterized by a relatively complex spatial correlation structure, contributes to the variability in water velocity and, consequently, may considerably enhance solute spreading. This applies especially in formations in which: (i) the correlation length scales and the variances of the soil properties associated with the embedded soil are much larger than those of the background soil; (ii) the contrast between mean properties of the two subdomains is large; (iii) mean water saturation is relatively small; and (iv) the volume fraction of the flow domain occupied by the embedded soil is relatively large.
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