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Andrew Binley

Researcher at Lancaster University

Publications -  286
Citations -  18377

Andrew Binley is an academic researcher from Lancaster University. The author has contributed to research in topics: Electrical resistivity tomography & Groundwater. The author has an hindex of 59, co-authored 278 publications receiving 16075 citations. Previous affiliations of Andrew Binley include British Geological Survey & Aston University.

Papers
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Journal ArticleDOI

The future of distributed models: model calibration and uncertainty prediction.

TL;DR: The GLUE procedure works with multiple sets of parameter values and allows that, within the limitations of a given model structure and errors in boundary conditions and field observations, different sets of values may be equally likely as simulators of a catchment.
Book ChapterDOI

DC Resistivity and Induced Polarization Methods

TL;DR: In this paper, the relationship between direct current resistivity and hydrological properties, such as porosity and moisture content, is investigated. But the applications of induced polarization methods in hydrogeophysics have been limited.
Journal ArticleDOI

The emergence of hydrogeophysics for improved understanding of subsurface processes over multiple scales.

TL;DR: How geophysical methods have emerged as valuable tools for investigating shallow subsurface processes over the past two decades is documented and a vision for future developments relevant to hydrology and also ecosystem science is offered.
Journal ArticleDOI

Temporal and spatial variability of groundwater–surface water fluxes: Development and application of an analytical method using temperature time series

TL;DR: In this paper, an analytical extension to an existing numerical solution of the heat flow equation, which is used in conjunction with Dynamic Harmonic Regression signal processing techniques for the analysis of diurnal oscillations at two or more depths in the river bed.
Journal ArticleDOI

Cross-hole electrical imaging of a controlled saline tracer injection

TL;DR: In this paper, a tracer was injected into a tank facility (dimensions 10×10×3 m) consisting of alternating sand and clay layers and the pixels that make up the electrical images were interpreted as a large number of breakthrough curves.