Recharge-induced groundwater flow over a plane sloping bed: Solutions for steady and transient flow using physical and numerical models

2005 ◽  
Vol 41 (7) ◽  
Author(s):  
T. G. Chapman
Keyword(s):  
Groundwater Flow ◽  
Transient Flow ◽  
Numerical Models ◽  
Sloping Bed

scholarly journals Integration of Numerical Models and InSAR Techniques to Assess Land Subsidence Due to Excessive Groundwater Abstraction in the Coastal and Lowland Regions of Semarang City

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 201
Author(s):  
Weicheng Lo ◽  
Sanidhya Nika Purnomo ◽  
Bondan Galih Dewanto ◽  
Dwi Sarah ◽  
Sumiyanto
Keyword(s):  
Groundwater Flow ◽  
Groundwater Management ◽  
Land Subsidence ◽  
Transient Flow ◽  
Numerical Models ◽  
Field Measurements ◽  
Northern Region ◽  
Groundwater Abstraction ◽  
Alluvial Deposits ◽  
Comparison Of The Results

This study was carried out to assess land subsidence due to excessive groundwater abstraction in the northern region of Semarang City by integrating the application of both numerical models and geodetic measurements, particularly those based on the synthetic aperture radar interferometry (InSAR) technique. Since 1695, alluvial deposits caused by sedimentations have accumulated in the northern part of Semarang City, in turn resulting in changes in the coastline and land use up to the present. Commencing in 1900, excessive groundwater withdrawal from deep wells in the northern section of Semarang City has exacerbated natural compaction and aggravated the problem of land subsidence. In the current study, a groundwater model equivalent to the hydrogeological system in this area was developed using MODFLOW to simulate the hydromechanical coupling of groundwater flow and land subsidence. The numerical computation was performed starting with the steady-state flow model from the period of 1970 to 1990, followed by the model of transient flow and land subsidence from the period of 1990 to 2010. Our models were calibrated with deformation data from field measurements collected from various sources (e.g., leveling, GPS, and InSAR) for simulation of land subsidence, as well as with the hydraulic heads from observation wells for simulation of groundwater flow. Comparison of the results of our numerical calculations with recorded observations led to low RMSEs, yet high R2 values, mathematically indicating that the simulation outcomes are in good agreement with monitoring data. The findings in the present study also revealed that land subsidence arising from groundwater pumping poses a serious threat to the northern part of Semarang City. Two groundwater management measures are proposed and the future development of land subsidence is accordingly projected until 2050. Our study shows quantitatively that the greatest land subsidence occurs in Genuk District, with a magnitude of 36.8 mm/year. However, if the suggested groundwater management can be implemented, the rate and affected area of land subsidence can be reduced by up to 59% and 76%, respectively.

Modelling present and future Po river interactions with alluvial aquifers (Low Po River Plain, Italy)

2014 ◽  
Vol 5 (3) ◽  
pp. 457-471 ◽  
Author(s):  
M. Mastrocicco ◽  
N. Colombani ◽  
A. Gargini
Keyword(s):  
Groundwater Flow ◽  
Large Scale ◽  
Flow Model ◽  
Transient Flow ◽  
Scale Model ◽  
Groundwater Flow Model ◽  
Po River ◽  
Local Conditions ◽  
Aquifer System ◽  
Hydrological Conditions

A modelling study on a multi-layered confined/unconfined alluvial aquifer system was performed to quantify surface water/groundwater interactions. The calibrated groundwater flow model was used to forecast climate change impacts by implementing the results of a downscaled A1B model ensemble for the Po river valley. The modelled area is located in the north-western portion of the Ferrara Province (Northern Italy), along the eastern bank of the Po river. The modelling procedure started with a large scale steady state model followed by a transient flow model for the central portion of the domain, where a telescopic mesh refinement was applied. The calibration performance of both models was satisfactory, in both drought and flooding conditions. Subsequently, forecasted rainfall, evapotranspiration and Po river stage at 2050, were implemented in the calibrated large scale groundwater flow model and their uncertainties discussed. Three scenarios were run on the large scale model: the first simulating mean hydrological conditions and the other two simulating one standard deviation above and below the mean hydrological conditions. The forecasted variations in groundwater/Po river fluxes are relevant, with a general increase of groundwater levels due to local conditions, although there are large uncertainties in the predicted variables.

Fluid Transmission Line Modeling Using a Variational Method

1998 ◽  
Vol 122 (1) ◽  
pp. 153-162 ◽  
Author(s):  
Jari Ma¨kinen ◽  
Robert Piche´ ◽  
Asko Ellman
Keyword(s):  
Differential Equations ◽  
Variational Method ◽  
Ordinary Differential Equations ◽  
Transmission Lines ◽  
Pipe Flow ◽  
Transient Flow ◽  
Numerical Models ◽  
Flow Simulation ◽  
Gibbs Phenomenon ◽  
Turbulent Pipe Flow

A variational method is used to derive numerical models for transient flow simulation in fluid transmission lines. These are generalizations of models derived using the more traditional modal method. Three different transient compressible laminar pipe flow models are considered (inviscous, one-dimensional linear viscous, and two-dimensional dissipative viscous flow), and a model for transient turbulent pipe flow is given. The (model) equations in the laminar case are given in the form of a set of constant coefficient ordinary differential equations, and for the turbulent case (model) in the form of a set of nonlinear ordinary differential equations. Explicit equations are given for various end conditions. Attenuation factors, similar to the window functions used in spectral analysis, are used to attenuate Gibbs phenomenon oscillations. [S0022-0434(00)03201-9]

scholarly journals A model ensemble generator to explore structural uncertainty in karst systems with unmapped conduits

2020 ◽  
Author(s):  
Chloé Fandel ◽  
Ty Ferré ◽  
Zhao Chen ◽  
Philippe Renard ◽  
Nico Goldscheider
Keyword(s):  
Data Collection ◽  
Groundwater Flow ◽  
Spatial Information ◽  
Numerical Models ◽  
Flow Behavior ◽  
Spring Discharge ◽  
Generation Process ◽  
Model Ensemble ◽  
Long Term Study ◽  
Conduit Networks

Abstract Karst aquifers are characterized by high-conductivity conduits embedded in a low-conductivity fractured matrix, resulting in extreme heterogeneity and variable groundwater flow behavior. The conduit network controls groundwater flow, but is often unmapped, making it difficult to apply numerical models to predict system behavior. This paper presents a multi-model ensemble method to represent structural and conceptual uncertainty inherent in simulation of systems with limited spatial information, and to guide data collection. The study tests the new method by applying it to a well-mapped, geologically complex long-term study site: the Gottesacker alpine karst system (Austria/Germany). The ensemble generation process, linking existing tools, consists of three steps: creating 3D geologic models using GemPy (a Python package), generating multiple conduit networks constrained by the geology using the Stochastic Karst Simulator (a MATLAB script), and, finally, running multiple flow simulations through each network using the Storm Water Management Model (C-based software) to reject nonbehavioral models based on the fit of the simulated spring discharge to the observed discharge. This approach captures a diversity of plausible system configurations and behaviors using minimal initial data. The ensemble can then be used to explore the importance of hydraulic flow parameters, and to guide additional data collection. For the ensemble generated in this study, the network structure was more determinant of flow behavior than the hydraulic parameters, but multiple different structures yielded similar fits to the observed flow behavior. This suggests that while modeling multiple network structures is important, additional types of data are needed to discriminate between networks.

scholarly journals Digitalization of hydrogeological processes in mining industry

2020 ◽  
pp. 95-100
Author(s):  
E. V. Leontieva ◽  
◽  
V. N. Kvachev ◽  
Keyword(s):  
Groundwater Flow ◽  
Pore Pressure ◽  
Information Technologies ◽  
Numerical Models ◽  
Control Point ◽  
Mining Industry ◽  
Drainage Water ◽  
Anthropogenic Activity ◽  
Influence Zone ◽  
Flow Gradients

The groundwater monitoring reconstruction and hydrogeological digitalization are discussed on the ground of the past and modern mine flooding protection technologies and geo-information technologies. According to the authors, it is of the current concern to advance digitalization technologies for hydrogeological processes in the mining industry to be focused on: – operative and episodic control and display of water condition at the control point in the x, y, z, t coordinates, including pore pressure, temperature, mineralization, flow rate of drainage water intake devices, productivity of pumping equipment of mine and quarry drainage, water-development in pit walls, in underground mines, in the influence zone of mining production; – creation of permanent hydrogeological models of groundwater flow, pore pressure distribution, flow gradients and transport of pollutants within the framework of conceptual and numerical models of subsoil, mining facilities, terrain, natural environment and anthropogenic activity in the influence zone of mining. The article discusses the working cycles of digitalization of operational and occasional monitoring data on the status of groundwater at the control points and 3D representations of groundwater flow, distribution of pore pressure, pressure gradients and movement of pollutants using constantly operating models to ensure safe and competitive development of flooded mineral deposits in modern conditions. The relevance of the digitalization technologies for hydrogeological processes based on the latest achievements in the field of geoinformatics and automation of hydrogeological work is substantiated.

scholarly journals Modeling groundwater flow and salinity evolution near TSF Żelazny Most. Part I – groundwater flow

2018 ◽  
Vol 54 ◽  
pp. 00036
Author(s):  
Waldemar Świdziński
Keyword(s):  
Numerical Model ◽  
Groundwater Flow ◽  
Chloride Transport ◽  
Numerical Models ◽  
General Information ◽  
Water Mixture ◽  
Groundwater Environment ◽  
Gold Silver ◽  
Copper Gold ◽  
System Part

Tailings which are by-product of the extraction of various metals (copper, gold, silver, molybdenum, etc.) are often stored in so called Tailings Storage Facilities (TSF), where they are deposited as a soil-water mixture by spigotting. In many cases the water discharged together with tailings to the TSF is rich in salts and other chemical compounds imposing negative pressure to the groundwater environment. Even in the case of total or partial lining of such facilities and well-developed drainage systems to control leaching, some portion of contaminated water often seeps either through the surrounding dams or the bed into adjacent groundwater bodies. Numerical models can be very helpful tools to assess the extent of the contamination and particularly to predict its potential development in the future. This paper and the companion one describe such a numerical model developed for Żelazny Most Tailings Storage Facility (south-west Poland), one of the world’s largest tailings sites. In the first part general information about the facility is provided and a 3D hydrogeological numerical model of the structure is described. Groundwater flow pattern near the facility obtained from numerical simulations is confronted with the measurements from a comprehensively developed monitoring system. Part II will be focused on the modelling of chloride transport in groundwater.

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