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Numerical simulation of saturated gr...

Luknanto, Djoko.

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Numerical simulation of saturated groundwater flow and pollutant transport in karst regions.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Numerical simulation of saturated groundwater flow and pollutant transport in karst regions./
Author:	Luknanto, Djoko.
Description:	152 p.
Notes:	Source: Dissertation Abstracts International, Volume: 53-01, Section: B, page: 0175.
Contained By:	Dissertation Abstracts International53-01B.
Subject:	Hydrology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9217178

Numerical simulation of saturated groundwater flow and pollutant transport in karst regions.
Luknanto, Djoko.

Numerical simulation of saturated groundwater flow and pollutant transport in karst regions. - 152 p.

Source: Dissertation Abstracts International, Volume: 53-01, Section: B, page: 0175.

Thesis (Ph.D.)--The University of Iowa, 1991.

In karst regions, groundwater flow and pollutant transport occur in two modes: fast-response flow in cave passages and slow-response flow in the aquifer-matrix. This thesis presents a computationally efficient numerical model that simulates the behavior of the two flow and transport modes.Subjects--Topical Terms:

545716
Hydrology.

Numerical simulation of saturated groundwater flow and pollutant transport in karst regions.
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035 $a (UnM)AAI9217178
035 $a AAI9217178
040 $a UnM $c UnM
100 1 $a Luknanto, Djoko. $3 1929578
245 1 0 $a Numerical simulation of saturated groundwater flow and pollutant transport in karst regions.
300 $a 152 p.
500 $a Source: Dissertation Abstracts International, Volume: 53-01, Section: B, page: 0175.
500 $a Supervisor: Forrest M. Holly, Jr.
502 $a Thesis (Ph.D.)--The University of Iowa, 1991.
520 $a In karst regions, groundwater flow and pollutant transport occur in two modes: fast-response flow in cave passages and slow-response flow in the aquifer-matrix. This thesis presents a computationally efficient numerical model that simulates the behavior of the two flow and transport modes.
520 $a A finite-difference method is used to discretize all governing equations. First, the fast-response flow in a network of cave passages is mathematically modelled by means of the full unsteady hydrodynamic equations and solved numerically using the Preissmann method. The slow-response flow in the aquifer-matrix is modelled by an unsteady Darcy equation and solved numerically using a fractional-step approach. These two equations are iteratively coupled through an exchange term reflecting the water exchange between cave passages and the aquifer-matrix. Next, the pollutant transport equations in the network of cave passages is solved using a characteristic method and in the aquifer-matrix using a fractional-step approach. These two pollutant transport equations are solved iteratively through an exchange term reflecting the pollutant exchange between cave passages and the aquifer-matrix.
520 $a Sensitivity analysis on important parameters affecting groundwater flow and pollutant transport in karst regions shows that the equivalent diameters of the cave passages and their distribution in the aquifer-matrix are the most important parameters of the model, provided the topology of the cave passages is fixed.
520 $a The model is capable of simulating dye trace experiments performed in Iowa's Big Spring basin. Time travel of two dye trace experiments from two different sinkholes is simulated. The results show that, for a fixed topology and given boundary conditions, only a narrow range of equivalent diameters of cave passages, about 1.5 ft, can simulate the correct travel time of the dye.
520 $a At the Big Spring basin, for a nondiffusive system, i.e., karst formations with large equivalent diameters of cave passages, it is possible to predict the flow at Big Spring using a reservoir-type formulation, thereby avoiding the complexity of a detailed mathematical formulation that considers all water pathways. The pathways are important for pollutant transport and the reservoir formulation is not adequate to determine the concentration of pollutants in the Big Spring flow.
590 $a School code: 0096.
650 4 $a Hydrology. $3 545716
650 4 $a Engineering, Civil. $3 783781
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Environmental Sciences. $3 676987
690 $a 0388
690 $a 0543
690 $a 0548
690 $a 0768
710 2 0 $a The University of Iowa. $3 1017439
773 0 $t Dissertation Abstracts International $g 53-01B.
790 1 0 $a Holly, Forrest M., Jr., $e advisor
790 $a 0096
791 $a Ph.D.
792 $a 1991
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9217178