Sustainability has emerged as the central theme to manage and avert
large scale environmental and resource degradation associated with
intense human development. Systems theory provides a strong
mathematical platform to achieve these goals which are often
multi-disciplinary involving disparate temporal and spatial scales.
This work is a step in that direction and explores the application
of systems theory techniques such as modeling, optimization and
optimal control for sustainable management. The work analyzes
drinking water distribution system (sensor placement for risk
minimization), mercury pollution management (optimization of
mercury trading and lake liming for bioaccumulation control),
ecological systems (disaster management of predator-prey models)
and integrated ecological-economic-social systems (policy
development for stability) as a part of the study. Uncertainty is
incorporated at various stages through innovative modeling and
solution algorithms to make the analysis robust. The results
emphasize the importance of systems theory is sustainable
management initiatives.
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