Filters: Tags: information theory (X)
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Ecological and economic systems are open systems that require energy to change the thermodynamic states of materials from naturally occurring to more valued forms. These changes are accompanied by information flows and changes in the order of systems and their surroundings. In this paper, thermodynamics is used to assess these system changes and relate them to the knowledge present in a system. Particular emphasis is given to (1) the fundamental relationships among material, energy and information flows, and changes in order and knowledge, (2) the role of equilibrium and non-equilibrium thermodynamics in assessing system change, (3) the increasing role of material and energy flows through economic systems, and (4)...
Categories: Publication;
Types: Citation;
Tags: Development,
Entropy,
Environmental management system,
Information Theory,
Knowledge,
Ecological and economic systems are open systems that require energy to change the thermodynamic states of materials from naturally occurring to more valued forms. These changes are accompanied by information flows and changes in the order of systems and their surroundings. In this paper, thermodynamics is used to assess these system changes and relate them to the knowledge present in a system. Particular emphasis is given to (1) the fundamental relationships among material, energy and information flows, and changes in order and knowledge, (2) the role of equilibrium and non-equilibrium thermodynamics in assessing system change, (3) the increasing role of material and energy flows through economic systems, and (4)...
Categories: Publication;
Types: Citation;
Tags: Development,
Entropy,
Environmental management system,
Information Theory,
Knowledge,
Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water supplies. Current state-of-the-art modeling approaches use hydrodynamic models, which can produce accurate results but are limited by significant computational costs. We developed a machine learning (ML) model to predict the 250 mg/L Cl- isochlor, also known as the salt front, using daily river discharge, meteorological drivers, and tidal water level data. We use the ML model to predict the location of the salt front, measured in river miles (RM) along the Delaware River, during the period 2001-2020, and we compare the ML model results to results from the hydrodynamic...
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