Hydrostratigraphic analysis of the Darling River valley (Australia) using electromagnetic induction data and a spatially constrained algorithm for quasi-three-dimensional electrical conductivity imaging

Efforts are being made to improve the irrigation efficiency in the Murray-Darling River Basin, Australia, to deal with predicted rainfall decline and to reduce the incidence of secondary soil and water salinization. The latter commonly occurs as a result of locating water reservoirs upon relic drain...

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Vydané v:Hydrogeology journal Ročník 19; číslo 5; s. 1053 - 1063
Hlavní autori: Triantafilis, John, Santos, Fernando Acácio Monteiro
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin/Heidelberg Springer-Verlag 01.08.2011
Springer Nature B.V
Predmet:
Algorithms
Aquatic Pollution
Constraints
Earth and Environmental Science
Earth Sciences
Electrical conductivity
Electrical resistivity
Environmental monitoring
Freshwater
Geology
Geophysics
Geophysics/Geodesy
Hydrogeology
Hydrology
Hydrology/Water Resources
Imaging
Irrigation
Irrigation efficiency
Resistivity
River basins
Rivers
Salinity
Salinization
Soil (material)
Soil types
Spatial distribution
Stratigraphy
Waste Water Technology
Water Management
Water Pollution Control
Water Quality/Water Pollution
Australia
Salinization
General hydrogeology
Australia
Electromagnetic induction
Geophysical methods
ISSN:1431-2174, 1435-0157
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Shrnutí:Efforts are being made to improve the irrigation efficiency in the Murray-Darling River Basin, Australia, to deal with predicted rainfall decline and to reduce the incidence of secondary soil and water salinization. The latter commonly occurs as a result of locating water reservoirs upon relic drainage channels. To better manage irrigation, information is required about the spatial distribution of soil type and the stratigraphic features capable of redistributing deep-draining water. In previous research, electromagnetic (EM) induction instruments (e.g. EM38 and EM34) have been used to map the distribution of soil type, hydrological processes (e.g. deep drainage) and vadose-zone features. The aim of this research is to demonstrate how a joint inversion of EM38 and EM34 data, using a one-dimensional spatially constrained algorithm for quasi three-dimensional (quasi-3D) electrical conductivity imaging, can be used to infer the areal distribution of soil types and physiographic and hydrogeological units. The quasi-3D modeling of true electrical conductivity provides a framework for future environmental monitoring and management to mitigate the hydrological processes that drive localized secondary salinization in the study area.
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ISSN:1431-2174
1435-0157
DOI:10.1007/s10040-011-0739-9