Bayesian inversion of geoelectrical resistivity data
نویسندگان
چکیده
منابع مشابه
Geoelectrical Resistivity Imaging in Environmental Studies
A.P. Aizebeokhai ( ) Department of Physics, College of Science and Technology, Covenant University, Ota, Ogun State, Nigeria e-mail: [email protected] Abstract The presence of contaminants in the environment requires a precise characterization of the nature and extent of contamination for effective remediation. Conventional environmental monitoring has focused largely on point s...
متن کاملInversion of Electrical Resistivity Data: A Review
High density electrical prospecting has been widely used in groundwater investigation, civil engineering and environmental survey. For efficient inversion, the forward modeling routine, sensitivity calculation, and inversion algorithm must be efficient. This paper attempts to provide a brief summary of the past and ongoing developments of the method. It includes reviews of the procedures used f...
متن کامل2D and 3D geoelectrical resistivity imaging: Theory and field design
The development of resistivity surveying techniques has been very rapid in the last three decades. The advent of automated data acquisition systems, inversion codes, and easy access to powerful and fast computers has tremendously increased the practical applicability of the geophysical method. Geoelectrical resistivity imaging is increasingly being used in environmental, engineering and hydrolo...
متن کاملPiecewise 1D laterally constrained inversion of resistivity data
In a sedimentary environment, layered models are often capable of representing the actual geology more accurately than smooth minimum structure models. Furthermore, interval thicknesses and resistivities are often the parameters to which nongeophysicist experts can relate and base decisions on when using them in waste site remediation, groundwater modelling and physical planning. We present a l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Royal Statistical Society: Series B (Statistical Methodology)
سال: 2003
ISSN: 1369-7412
DOI: 10.1111/1467-9868.00406