Science Inventory

OPTIMAL CONTROL THEORY FOR SUSTAINABLE ENVIRONMENTAL MANAGEMENT

Citation:

SHASTRI, Y., U. DIWEKAR, AND H. CABEZAS. OPTIMAL CONTROL THEORY FOR SUSTAINABLE ENVIRONMENTAL MANAGEMENT. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, 42(14):5322-5328, (2008).

Impact/Purpose:

publish information

Description:

With growing world population, diminishing resources, and realization of the harmful effects of various pollutants, research focus in environmental management has shifted towards sustainability. The goal of a sustainable management strategy is to promote the structure and operation of the hu-man component of the system (society, economy, technology, etc.) in such a manner as to reinforce the persistence of the structures and operation of the natural component (i.e., the ecosystem). Since this is a highly multi-disciplinary task, involving interactions of systems on multiple temporal and spatial scales, a systematic approach, based on sound mathematical techniques, is essential. Two im-portant aspects of this approach are: formulation of sustainability based objectives and development of the management strategies. Fisher information can be used as the basis of a sustainability hy-pothesis to formulate mathematical objectives relevant to the disparate systems. Once the objectives are developed, methods and tools based on systems theory provide the means to derive appropriate management strategies. This work proposes to use optimal control theory to derive time dependent environmental management strategies. This paper represents a proof of concept for this approach using a model system that includes an ecosystem, humans, avery rudimentary industrial process, and a very simple agricultural system. To formulate the control problem, it is important to identify the right control variables in the model, which is achieved through partial correlation coefficient analysis. The results help in identifying the effective management options. The results also emphasize that management using multiple parameters of different nature can be distinctly effective.

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Record Details:

Record Type: DOCUMENT (JOURNAL/PEER REVIEWED JOURNAL)
Product Published Date: 06/14/2008
Record Last Revised: 08/07/2008
OMB Category: Other
Record ID: 166486

Organization:

U.S. ENVIRONMENTAL PROTECTION AGENCY

OFFICE OF RESEARCH AND DEVELOPMENT

NATIONAL RISK MANAGEMENT RESEARCH LABORATORY

SUSTAINABLE TECHNOLOGY DIVISION

SUSTAINABLE ENVIRONMENTS BRANCH