Optimal stochastic dynamic scheduling for managing community recovery from natural hazards

Modelling Community Preparation for Natural Hazards: Understanding Hazard Cognitions

JOURNAL OF PACIFIC RIM PSYCHOLOGY Volume 3, Issue 2 pp. 39–46 Address for correspondence: David McIvor, School of Psychology, University of Tasmania, Locked Bag 1342, Launceston TAS 7250, Australia. E-mail: [email protected] In areas susceptible to experiencing the consequences of natural hazard activity, a key facet of risk management involves encouraging citizens to adopt measures that inc...

Soil Erosion Modeling For Managing Natural Hazards with Determining Four adequate Cell Size Factor of Slope Length

Soil loss erosion is one of the most serious environmental problems (widespread globally), which is a menace to sustainable ecosystems and agriculture. As the previous studies show, the world’s highest soil loss rates due to erosion are in three continents, i.e. Asia, Africa, and South America. A new method was proposed to statistically evaluate the most appropriate cell size for LS factor inpu...

Modeling CO2 recovery for optimal dynamic operations

The development of amine scrubbing processes for coal and natural gas-fired power plants is essential to reduce CO2 emissions. The design of tailor-made dynamic models to predict CO2 capture in amine scrubbing processes is fundamental for optimal control operations. This paper presents the use of SIMPCA, a subspace system identification technique used to develop a dynamic empirical model for an...

Dynamic consistency for stochastic optimal control problems

For a sequence of dynamic optimization problems, we aim at discussing a notion of consistency over time. This notion can be informally introduced as follows. At the very first time step t0, the decision maker formulates an optimization problem that yields optimal decision rules for all the forthcoming time step t0, t1, . . . , T ; at the next time step t1, he is able to formulate a new optimiza...

Stochastic model construction of natural hazards given experimental measures