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Investigation of Network Models as a Numerical Method for Solving Groundwater Equations

Authors: Han, Kim Lo;

Investigation of Network Models as a Numerical Method for Solving Groundwater Equations

Abstract

Network methods are one of the most widely used groundwater modeling tools that have become widespread and popular over the last two decades. In this research, with a new approach to network methods, these methods are introduced as a numerical model to simulate the movement of groundwater. With the development of this network model, a non-systematic model has been proposed to solve the flow in an arbitrary network. Although many of these problems occur on the surface of the earth, these pollutants enter groundwater after penetrating the earth. After joining the groundwater, these pollutants are transferred by moving groundwater and reach rivers, lakes and wells. On the other hand, the limited groundwater has made the groundwater increasingly important as a source of human drinking water. One of the first steps required to estimate the behavior of groundwater is to find a mathematical model that the application of these models in turn requires the collection of information. By using experimental systems, the cause of errors caused by human error or human ignorance can be greatly reduced and eliminated. For this reason, many studies have been done on issues such as maintenance of a wellhead, design of drinking water supply systems, estimation of movement and transfer of pollutants in the aquifer, etc., and mathematical models for these problems have been presented.

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Rivers, FOS: Mathematics, Experimental Systems, Human Drinking Water, Mathematics

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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