@inbook {Yeh.2006.1,
	title = {Parallel Computing Engines for Subsurface Imaging Technologies},
	booktitle = {Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications},
	series = {Wiley Series of Parallel and Distributed Computing},
	year = {2010},
	pages = {29-43},
	publisher = {Wiley},
	organization = {Wiley},
	chapter = {3},
	address = {Hoboken, New Jersey},
	isbn = {978-0-470-07294-3},
	author = {Jim T. C. {Yeh} and Cai, Xing and Hans Petter {Langtangen} and Zhu, Junfeng and Ni, Chuen-Fa},
	editor = {Parashar, M. and Li, X.}
}
@article {Simula.SC.194,
	title = {Analysis of Tracer Tomography Using Temporal Moments of Tracer Breakthrough Curves},
	journal = {Advances in Water Resources},
	volume = {32},
	number = {3},
	year = {2009},
	pages = {391-400},
	doi = {10.1016/j.advwatres.2008.12.001},
	author = {Zhu, Junfeng and Cai, Xing and Jim T. C. {Yeh}}
}
@book {Simula.SC.34,
	title = {Quantitative Information Fusion for Hydrological Sciences},
	volume = {79 in Studies in Computational Intelligence},
	year = {2008},
	month = {January, 2008},
	publisher = {Springer},
	abstract = {In a rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? This book takes the angle of computational hydrology and envisions one of the future directions, namely, quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences. Intelligent computation and information fusion are the key words. The aim is to provide both established scientists and graduate students with a summary of recent developments in this topic. The chapters of this edited volume cover some of the most important ingredients for quantitative hydrological information fusion, including data fusion techniques, interactive computational environments, and supporting mathematical and numerical methods. Real-life applications of hydrological information fusion are also addressed.},
	isbn = {978-3-540-75383-4},
	author = {Cai, Xing and Jim T. C. {Yeh}}
}
@article {Simula.SC.196,
	title = {A View Toward the Future of Subsurface Characterization: CAT Scanning Groundwater Basins},
	journal = {Water Resources Research},
	volume = {44},
	year = {2008},
	note = {Citation number: W03301},
	abstract = {In this opinion paper we contend that high-resolution characterization, monitoring, and prediction are the key elements to advancing and reducing uncertainty in our understanding and prediction of subsurface processes at basin scales. First, we advocate that recently developed tomographic surveying is an effective and high-resolution approach for characterizing the field-scale subsurface. Fusion of different types of tomographic surveys further enhances the characterization. A basin is an appropriate scale for many water resources management purposes. We thereby propose the expansion of the tomographic surveying and data fusion concept to basin-scale characterization. In order to facilitate basin-scale tomographic surveys, different types of passive, basin-scale, CAT scan technologies are suggested that exploit recurrent natural stimuli (e.g., lightning, earthquakes, storm events, barometric variations, river-stage variations, etc.) as sources of excitations, along with implementation of sensor networks that provide long-term and spatially distributed monitoring of excitation as well as response signals on the land surface and in the subsurface. This vision for basin-scale subsurface characterization faces many significant technological challenges and requires interdisciplinary collaborations (e.g., surface and subsurface hydrology, geophysics, geology, geochemistry, information and sensor technology, applied mathematics, atmospheric science, etc.). We nevertheless contend that this should be a future direction for subsurface science research.},
	doi = {10.1029/2007WR006375},
	author = {Jim T. C. {Yeh} and Lee, Cheng-Haw and Hsu, Kuo-Chin and Walter A. {Illman} and Barrash, Warren and Cai, Xing and Daniels, Jeffrey and Sudicky, Ed and Wan, Li and Li, Guomin and C. L. {Winter}}
}
@misc {Zhu.2006.1,
	title = {Fusion of Hydraulic and Tracer Tomography for DNAPL Detection},
	howpublished = {Poster presented at AGU Fall Meeting 2006, Dec. 11-15, San Francisco},
	year = {2006},
	author = {Zhu, Junfeng and Jim T. C. {Yeh} and Cai, Xing}
}
@misc {Cai.2006.13,
	title = {Hybrid Parallelization of a 3D Transient Hydraulic Tomography Code},
	howpublished = {Poster presented at Western Pacific Geophysics Meeting 2006, Beijng, July 24-27},
	year = {2006},
	author = {Cai, Xing and Zhu, Junfeng and Zhang, Yeliang and Jim T. C. {Yeh}}
}
@misc {Cai.2006.12,
	title = {Parallel Computational Methodology for Hydraulic Tomography},
	howpublished = {Poster presented at AGU Fall Meeting 2006, San Francisco, Dec. 11-15},
	year = {2006},
	author = {Cai, Xing and Zhu, Junfeng and Ni, Chuen-Fa and Jim T. C. {Yeh}}
}
@misc {Cai.2006.14,
	title = {Parallel Programming and Computing for Large-Scale Hydraulic Tomography},
	howpublished = {Poster presented at Workshop on Hydraulic Tomography, Boise, June 8-9},
	year = {2006},
	author = {Cai, Xing and Zhu, Junfeng and Jim T. C. {Yeh}}
}
