presentation_2010.bib

@presentations{Kumar2010c,
  title = {Systems Analytic Methods for Design and Management of Large-scale Environmental Systems},
  author = {Jitendra Kumar},
  howpublished = {Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA},
  month = {August},
  year = {2010},
  owner = {jkumar},
  timestamp = {2011.12.12}
}

@conference{Kumar2010b,
  title = {Massively parallel multiple interacting continua formulation for modeling flow in fractured porous media using the subsurface reactive flow and transport code {PFLOTRAN}},
  author = {Jitendra Kumar and Richard T. Mills and Peter C. Lichtner and Glenn E. Hammond},
  booktitle = {Eos Trans. AGU},
  year = {2010},
  abstract = {Fracture dominated flows occur in numerous subsurface geochemical processes and at many different scales in rock pore structures, micro-fractures, fracture networks and faults. Fractured porous media can be modeled as multiple interacting continua which are connected to each other through transfer terms that capture the flow of mass and energy in response to pressure, temperature and concentration gradients. However, the analysis of large-scale transient problems using the multiple interacting continuum approach presents an algorithmic and computational challenge for problems with very large numbers of degrees of freedom. A generalized dual porosity model based on the Dual Continuum Disconnected Matrix approach has been implemented within a massively parallel multiphysics-multicomponent-multiphase subsurface reactive flow and transport code PFLOTRAN. Developed as part of the Department of Energy's SciDAC-2 program, PFLOTRAN provides subsurface simulation capabilities that can scale from laptops to ultrascale supercomputers, and utilizes the PETSc framework to solve the large, sparse algebraic systems that arises in complex subsurface reactive flow and transport problems. It has been successfully applied to the solution of problems composed of more than two billions degrees of freedom, utilizing up to 131,072 processor cores on Jaguar, the Cray XT5 system at Oak Ridge National Laboratory that is the world's fastest supercomputer. Building upon the capabilities and computational efficiency of PFLOTRAN, we will present an implementation of the multiple interacting continua formulation for fractured porous media along with an application case study.},
  file = {:Publications/Kumar_AGU2010.pdf:PDF},
  owner = {jkumar},
  timestamp = {2010.11.16}
}

@conference{Mills2010,
  title = {Geospatiotemporal Data Mining of Remotely Sensed Phenology for Unsupervised Forest Threat Detection},
  author = {Richard T. Mills and Forrest M. Hoffman and Jitendra Kumar and Shivakar S. Vulli and William W. Hargrove and Joe Spruce},
  booktitle = {Eos Trans. AGU},
  year = {2010},
  abstract = {Hargrove and Hoffman have previously developed and applied a scalable geospatiotemporal data mining approach to define a set of categorical, multivariate classes or states for describing and tracking the behavior of ecosystem properties through time within a multi-dimensional phase or
state space. The method employs a standard k-means cluster analysis with enhancements that reduce the number of required comparisons, dramatically accelerating iterative convergence. In support of efforts by the USDA Forest Service to develop a National Early Warning System for Forest Disturbances, we have applied this geospatiotemporal cluster analysis procedure to annual phenology patterns derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) for unsupervised change detection. We will present initial results from the analysis of seven years of 250-m MODIS NDVI data for the conterminous United States. While determining what constitutes a "normal" phenological pattern for any given location is challenging due to interannual climate variability, a spatially varying climate change trend, and the relatively short record of MODIS NDVI observations, these results demonstrate the utility of the method for detecting significant mortality events, like the progressive damage from mountain pine beetle, and suggest that the technique may be successfully implemented as a key component in an early warning system for identifying forest threats from natural and anthropogenic disturbances at a continental scale.},
  file = {:Publications/Mills_AGU2010.pdf:PDF},
  owner = {jkumar},
  timestamp = {2010.11.16}
}

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