After nearly two decades of debate and fundamental disagreement, topdown and bottom-up energy-economy modelers, sometimes referred to as modeling ‘tribes’, began to engage in productive dialogue in the mid-1990s (IPCC 2001). From this methodological conversation have emerged modeling approaches that offer a hybrid of the two perspectives. Yet, while individual publications over the past decade ...

This paper was prepared as the result of work sponsored by the California Air Resources Board (ARB) and the California Environmental Protection Agency (Cal/EPA). It does not necessarily represent the views of the California Energy Commission, ARB, Cal/EPA, their employees, or the State of California. The Energy Commission, ARB, Cal/EPA, the State of California, their employees, contractors, and...

The main objective of this study is to verify the influence of Environmental Management (EM) on Operational Performance (OP) in Brazilian automotive companies, analyzing whether Lean Manufacturing (LM) and Human Resources (HR) interfere in the greening of these companies. Therefore, a conceptual framework listing these concepts was proposed, and three research hypotheses were presented. A quest...

The main purpose of this research is to determine the generation quantity of each generator in a power system. In this way, not only will the electricity demanded by the system be supplied, but the cost of fuel along with the level of pollution can be minimized. Obviously, calculation of the optimal layout of power plants with the aim of minimizing fuel costs and pollutants level contributes to...

Geographic modeling of individual exposures using air pollution modeling techniques can help in both the design of environmental epidemiologic studies and in the assignment of measures that delineate regions that receive the highest exposure in space and time. Geographic modeling can help in the interpretation of environmental sampling data associated with airborne concentration or deposition, ...

Never has there been a greater opportunity for investigating microbial communities. Not only are the profound effects of microbial ecology on every aspect of Earth's geochemical cycles beginning to be understood, but also the analytical and computational tools for investigating microbial Earth are undergoing a rapid revolution. This environmental microbial interactome, the system of interaction...

Material flow modeling constitutes an important approach to predicting and understanding the flows of materials through the anthroposphere into the environment. The new “Dynamic Probabilistic Material Flow Analysis (DPMFA)” method, combining dynamic material flow modeling with probabilistic modeling, is presented in this paper. Material transfers that lead to particular environmental stocks are...

Objective: Today, manufacturing companies must pay attention to environmental and social issues throughout the supply chain in order to survive. Many efforts have been made to examine the sustainable supply chain, but the agility of sustainable supply chain has been only observed in very few studies. Therefore, the aim of this study is to present an agility model of sustainable supply chain in ...

In this talk I will focus on the use of a mobile robot for autonomous exploration of an initially unknown environment. Here, by “exploration” I mean a task whose final or intermediate result is a model of this environment. I will consider the following aspects: • mobile robot sensors for environmental modeling • types of explored environments • types and structure of environment models • approa...

This paper presents an integrated knowledge-based approach to multi-scale modeling of aquatic systems, with a view to enhancing predictive power and aiding environmental management and policy-making. The basic phases of this approach have been exemplified in the case of a bay in Saronicos Gulf (Attiki, Greece). The results showed a significant problem with rising phytoplankton blooms linked to ...