Merging spatially variant physical process models under an optimized systems dynamics framework.

doi:https://doi.org/10.2172/934584

Title: Merging spatially variant physical process models under an optimized systems dynamics framework.

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Abstract

The complexity of water resource issues, its interconnectedness to other systems, and the involvement of competing stakeholders often overwhelm decision-makers and inhibit the creation of clear management strategies. While a range of modeling tools and procedures exist to address these problems, they tend to be case specific and generally emphasize either a quantitative and overly analytic approach or present a qualitative dialogue-based approach lacking the ability to fully explore consequences of different policy decisions. The integration of these two approaches is needed to drive toward final decisions and engender effective outcomes. Given these limitations, the Computer Assisted Dispute Resolution system (CADRe) was developed to aid in stakeholder inclusive resource planning. This modeling and negotiation system uniquely addresses resource concerns by developing a spatially varying system dynamics model as well as innovative global optimization search techniques to maximize outcomes from participatory dialogues. Ultimately, the core system architecture of CADRe also serves as the cornerstone upon which key scientific innovation and challenges can be addressed.

Authors:

Cain, William O ^[1]; Lowry, Thomas Stephen; Pierce, Suzanne A; Tidwell, Vincent Carroll

University of Texas at Austin, Austin, TX

Publication Date:: 2007-10-01

Research Org.:: Sandia National Laboratories

Sponsoring Org.:: USDOE

OSTI Identifier:: 934584

Report Number(s):: SAND2007-6645
TRN: US200814%%382

DOE Contract Number:: AC04-94AL85000

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES; 97; RESOURCE MANAGEMENT; WATER RESOURCES; DECISION MAKING; MATHEMATICAL MODELS; Water resources-Management-Computer programs.; Water resources development-Mathematical models.

Citation Formats


                    Cain, William O, Lowry, Thomas Stephen, Pierce, Suzanne A, and Tidwell, Vincent Carroll. Merging spatially variant physical process models under an optimized systems dynamics framework..  United States: N. p., 2007. 
        Web.  doi:10.2172/934584.

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                    Cain, William O, Lowry, Thomas Stephen, Pierce, Suzanne A, & Tidwell, Vincent Carroll. Merging spatially variant physical process models under an optimized systems dynamics framework..  United States.  https://doi.org/10.2172/934584

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                    Cain, William O, Lowry, Thomas Stephen, Pierce, Suzanne A, and Tidwell, Vincent Carroll. Mon .  
        "Merging spatially variant physical process models under an optimized systems dynamics framework.".  United States.  https://doi.org/10.2172/934584.  https://www.osti.gov/servlets/purl/934584.

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@article{osti_934584,

  title        = {Merging spatially variant physical process models under an optimized systems dynamics framework.},

  author       = {Cain, William O and Lowry, Thomas Stephen and Pierce, Suzanne A and Tidwell, Vincent Carroll},

  abstractNote = {The complexity of water resource issues, its interconnectedness to other systems, and the involvement of competing stakeholders often overwhelm decision-makers and inhibit the creation of clear management strategies. While a range of modeling tools and procedures exist to address these problems, they tend to be case specific and generally emphasize either a quantitative and overly analytic approach or present a qualitative dialogue-based approach lacking the ability to fully explore consequences of different policy decisions. The integration of these two approaches is needed to drive toward final decisions and engender effective outcomes. Given these limitations, the Computer Assisted Dispute Resolution system (CADRe) was developed to aid in stakeholder inclusive resource planning. This modeling and negotiation system uniquely addresses resource concerns by developing a spatially varying system dynamics model as well as innovative global optimization search techniques to maximize outcomes from participatory dialogues. Ultimately, the core system architecture of CADRe also serves as the cornerstone upon which key scientific innovation and challenges can be addressed.},

  doi          = {10.2172/934584},

  url          = {https://www.osti.gov/biblio/934584},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2007},

  month        = {10}

}

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