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TZID:Pacific/Honolulu
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CLASS:PUBLIC
CREATED:20260511T120841Z
DESCRIPTION:STOCHASTIC MODELING OF THE EARTH SUBSURFACE: DEALING WITH UNOBSERVED NATURAL SYSTEMS by Dr. Grégoire Mariéthoz University of Lausanne, Switzerland, Institute of Earth Surface Dynamics\nMany hydrological processes taking place at the Earth’s surface are directly observable, either through in-situ measurements or by using remote sensing techniques. In contrast, understanding properties of the subsurface poses formidable observational challenges. Firstly, measurements of the Earth’s interior are either difficult and expensive to acquire (e.g., boreholes) or indirect (e.g., measurement of subsurface flow and tracer concentrations). Secondly, the Earth’s interior is 3-dimensional, resulting in very empty data spaces. For example, even intensive drilling campaigns and geophysical surveys of an aquifer often sample only a small fraction of the total rock volume.\nThis talk will present stochastic aquifer modeling approaches that allow quantifying uncertainty in such data-poor problems. For many practical questions, the uncertainty in subsurface hydraulic properties further propagates into uncertainty in water resources management problems—for example, the transport of contaminant to a drinking water well, the intake of a groundwater-based desalination plant, or the behavior of a tracer in a subglacial drainage system. Stochastic aquifer models allow using a statistical description of the unobserved system to formulate ensemble predictions, resulting in a distribution of possible outcomes. The use of stochastic models will be illustrated in different environments, focusing on applications that integrate indirect data through inverse approaches.\n
DTEND;TZID=Pacific/Honolulu:20190910T230000Z
DTSTAMP:20260511T120841Z
DTSTART;TZID=Pacific/Honolulu:20190910T220000Z
LAST-MODIFIED:20260511T120841Z
LOCATION:Information Technology Center, 2520 Correa RD, Rm 105A
PRIORITY:5
SEQUENCE:0
SUMMARY;LANGUAGE=en-us:WRRC/‘Ike Wai Seminar
TRANSP:OPAQUE
UID:177853732135864web-support-l@lists.hawaii.edu
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