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Temporal scaling and complexity anal...

Li, Zhongwei.

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Temporal scaling and complexity analyses of dynamic groundwater systems.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Temporal scaling and complexity analyses of dynamic groundwater systems./
Author:	Li, Zhongwei.
Description:	159 p.
Notes:	Adviser: You-Kuan Zhang.
Contained By:	Dissertation Abstracts International67-07B.
Subject:	Engineering, Environmental. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3225638
ISBN:	9780542795732

Temporal scaling and complexity analyses of dynamic groundwater systems.
Li, Zhongwei.

Temporal scaling and complexity analyses of dynamic groundwater systems. - 159 p.

Adviser: You-Kuan Zhang.

Thesis (Ph.D.)--The University of Iowa, 2006.

Groundwater flow in an aquifer is a complex dynamic system. This dissertation investigates the fractal dynamics and complexity of groundwater systems with spectral methods, detrended fluctuation analysis, and multiscale entropy analysis along with numerical simulations. Theoretical and simulation results show that an aquifer may act as a fractal filter which may take random non-fractal signals, and produce fractal groundwater level and base flow time series. The observed scaling properties are derived with nonstationary spectral analysis from a simplified linear reservior model and numerically simulated based on a one-dimensional transient groundwater flow model with a White noise recharge process and correlated recharge process, respectively. It is also found that scaling exponents increase from rainfall to streamflow, to groundwater, and to base flow due to the dampening effect by the land surface and aquifers. Based on the fact that complexity is higher in systems with structures over multiple spatiotemporal scales than in systems with structures on just a single scale, multiscale entropy analysis is introduced to study entropy-based complexity in a groundwater system with correlations over multiple scales. It is shown that the entropies of groundwater levels and base flow over scales may have different patterns and values and that higher entropies at large time scales are observed in hydrological time series with high complexity in which both randomness and correlation structure are present.

ISBN: 9780542795732Subjects--Topical Terms:

783782
Engineering, Environmental.

Temporal scaling and complexity analyses of dynamic groundwater systems.
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005 20110915
008 110915s2006 eng d
020 $a 9780542795732
035 $a (UMI)AAI3225638
035 $a AAI3225638
040 $a UMI $c UMI
100 1 $a Li, Zhongwei. $3 1291257
245 1 0 $a Temporal scaling and complexity analyses of dynamic groundwater systems.
300 $a 159 p.
500 $a Adviser: You-Kuan Zhang.
500 $a Source: Dissertation Abstracts International, Volume: 67-07, Section: B, page: 3660.
502 $a Thesis (Ph.D.)--The University of Iowa, 2006.
520 $a Groundwater flow in an aquifer is a complex dynamic system. This dissertation investigates the fractal dynamics and complexity of groundwater systems with spectral methods, detrended fluctuation analysis, and multiscale entropy analysis along with numerical simulations. Theoretical and simulation results show that an aquifer may act as a fractal filter which may take random non-fractal signals, and produce fractal groundwater level and base flow time series. The observed scaling properties are derived with nonstationary spectral analysis from a simplified linear reservior model and numerically simulated based on a one-dimensional transient groundwater flow model with a White noise recharge process and correlated recharge process, respectively. It is also found that scaling exponents increase from rainfall to streamflow, to groundwater, and to base flow due to the dampening effect by the land surface and aquifers. Based on the fact that complexity is higher in systems with structures over multiple spatiotemporal scales than in systems with structures on just a single scale, multiscale entropy analysis is introduced to study entropy-based complexity in a groundwater system with correlations over multiple scales. It is shown that the entropies of groundwater levels and base flow over scales may have different patterns and values and that higher entropies at large time scales are observed in hydrological time series with high complexity in which both randomness and correlation structure are present.
590 $a School code: 0096.
650 4 $a Engineering, Environmental. $3 783782
650 4 $a Geophysics. $3 535228
650 4 $a Hydrology. $3 545716
690 $a 0373
690 $a 0388
690 $a 0775
710 2 0 $a The University of Iowa. $3 1017439
773 0 $t Dissertation Abstracts International $g 67-07B.
790 $a 0096
790 1 0 $a Zhang, You-Kuan, $e advisor
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3225638