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Professor Civil and
Environmental Engineering Environmental Fluid
Mechanics and Hydrology |
B.S. (1974)
M.S. (1976) and Ph.D. (1978)
Peter K. Kitanidis specializes in the
analysis of data and the development and implementation of mathematical models
that describe and predict flow and transport rates in the environment. He has
devised methods for the analysis of spatially distributed hydrologic and
water-quality data, data matching and uncertainty quantification of groundwater
models, and the optimization of sampling and control strategies when the
available information is incomplete. He
has developed methods for large-scale inverse modeling and data assimilation
using fast linear algebra tools. He has
researched and developed novel inversion methods for hydraulic tomography
(static, transient, and oscillatory). He
is active in the study of mixing processes in groundwater and the development
of cost-effective enhanced in-situ remediation methods. He has been
investigating how the heterogeneous nature of hydrogeochemical
variables affects the net rates of flow and transport at hydrologic scales. He is developing software for data analysis
and monitoring at sites of geologic storage of CO2. He has also developed methods for real-time
forecasting of river flows, for which he received the L. G. Straub Award
in 1979, and has studied the mechanics of meandering rivers. He has
participated in AGU, ASCE, and National Research Council technical committees.
He was a recipient in 1994 of the W.
L. Huber Civil Engineering Research Prize and was
recognized in 2001 as an ISI
Highly Cited Researcher.
He was the 2011 Pioneers in Groundwater Lecturer, sponsored by
ASCE. He also received the 2011
Hydrologic Sciences Award, from AGU’s Hydrology Section. He is a Chief Editor of the Journal of
Hydrology.
Peter K. Kitanidis is also faculty at
the Institute for
Computational and Mathematical Engineering.
Civil and Environmental
473 Via Ortega
Tel.: (650) 723-8321, Fax: (650) 725-9720
E-mail: peterk at stanford dot edu
Book:
Introduction to Geostatistics
Book:
Delivery and Mixing in the Subsurface: Processes and Design Principles for In
Situ Remediation
A
short Course on Compressed State Kalman Filter (Coming in January 2018)
Links To: Civil and
Environmental Engineering, Computational and Mathematical Engineering
Last
Modified: 04/2/2018 |
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