:::
103/03/21 14:00 葉天齊教授 （Department of Hydrology and Water Resources, The University of Arizona） 演講
演講公告
張貼人：網站管理員 ╱ 公告日期：2014-03-14演 講 公 告
主講人：葉天齊 教授
地點：中央大學科學一館S-135教室
摘要：
講題：Active and Passive Hydrologic Tomographic Surveys: A Revolution in Hydrology
主講人：葉天齊 教授
Department of Hydrology and Water Resources, The University of Arizona
時間：03月21日（星期五）下午2點
地點：中央大學科學一館S-135教室
摘要：
Mathematical forward or inverse problems of flow through geological media always have unique solutions if necessary conditions are givens. Unique mathematical solutions to forward or inverse modeling of field problems are however always uncertain (an infinite number of possibilities) due to many reasons. They include non-representativeness of the governing equations, inaccurate necessary conditions, multi-scale heterogeneity, scale discrepancies between observation and model, noise and others. Conditional stochastic approaches, which derives the unbiased solution and quantifies the solution uncertainty, are therefore most appropriate for forward and inverse modeling of hydrological processes. Conditioning using non-redundant data sets reduces uncertainty.
In this presentation, I will explain non-redundant data sets in cross-hole aquifer tests, and demonstrate that active hydraulic tomographic survey (using man-made excitations) is a cost-effective approach to collect the same type but non-redundant data sets for reducing uncertainty in the inverse modeling. Subsequently. I will show that including flux measurements (a piece of non-redundant data set) collected in the same well setup as in hydraulic tomography improves the estimated hydraulic conductivity field.
At last, the talk will conclude with examples and propositions regarding how to collect and analyze data intelligently by exploiting natural recurrent events (river stage fluctuations, earthquakes, lightning, etc.) as energy sources for basin-scale passive tomographic surveys. The development of information fusion technologies that integrate traditional point measurements and active/passive hydrogeophysical tomographic surveys, as well as advances in sensor, computing, and information technologies may ultimately advance our capability of characterizing groundwater basins to achieve resolution far beyond the feat of current science and technology.
附加檔案：
最後修改時間：2014-08-04 PM 3:02
