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

Cain, William O. (University of Texas at Austin, Austin, TX) ; Lowry, Thomas Stephen ; Pierce, Suzanne A. ; Tidwell, Vincent Carroll

Sandia National Laboratories

关键词: Decision Making;    Mathematical Models Water Resources-Management-Computer Programs.;    Resource Management;    Water Resources;    Water Resources Development-Mathematical Models.;   

DOI  :  10.2172/934584
RP-ID  :  SAND2007-6645
RP-ID  :  AC04-94AL85000
RP-ID  :  934584

美国|英语

来源: UNT Digital Library

【 摘 要 】

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.