Modeling Nearshore Processes as Complex Systems
Abstract
LONG-TERM GOALS. The long-term goal of this research is to develop and test predictive models for nearshore processes. This is to be accomplished within the framework of the nearshore as a hierarchical complex system, wherein, at discretely ordered space and time scales, a small number of variables emerge as the dominant influences on the dynamics of this nonlinear, open system and the interactions between these dominant variables give rise to complex, emergent behavior. OBJECTIVES. Attractors, states to which a system evolves from a broad range of initial conditions, are robust features of systems characterized both by significant nonlinearity and high rates of dissipation, such as the nearshore. The evolution of a system to an attractor selects a temporal hierarchy of dominant dynamical variables, ordered so that variables characterized by a particular time scale enslave faster variables and evolve within a context determined by slower variables. Motivated by a hierarchical, complex systems framework for nearshore processes, the specific objectives of this research project are (i) to identify the dominant variables and processes operative in the nearshore; (ii) to formulate and develop predictive, complex systems models for nearshore processes and features, including sand bars, megaripples, breaking waves, infragravity wave generation, surf zone currents, and swash zone flow and morphology; (iii) to test these models with existing field data; (iv) to relate complex systems models to measurements acquired through remote sensing; (v) to propose and design new field experiments capable of refuting these models.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 1997
- Accession Number
- ADA635055
Entities
People
- Brad Werner
Organizations
- University of California, San Diego