The building sector accounts for an increasing amount of energy and emissions with
continued urbanization, and improving the energy performance of building stocks at the …

In global sensitivity analysis (GSA) of a model, a proper convergence analysis of metrics is
essential for ensuring a level of confidence or trustworthiness in sensitivity results obtained …

Geospatial fire behaviour and fire hazard simulators, fire effects models and smoke emission
software commonly use standard fuel models in order to simplify data collection and the …

PyApprox is a Python-based one-stop-shop for probabilistic analysis of numerical models
such as those used in the earth, environmental and engineering sciences. Easy to use and …

In this paper, Hybrid thermoelectric generators (HTEG) model was established based on
nonequilibrium thermodynamics and Newton's heat transfer law. Fuzzy theory was used to …

Developing models for predicting the rate of fire spread (ROS) in nature and analyzing the
sensitivity of these models to environmental parameters are of great importance for fire study …

Environmental vulnerability is an important tool to understand the natural and anthropogenic
impacts associated with the susceptibility to environmental damage. This study aims to …

Forest fires cause every year damages to biodiversity, atmosphere, and economy activities.
Forest fire simulation have improved significantly, but input data describing fire scenarios …

A typical complex mechanical system usually should be treated as a multilevel system
consists of several subsystems with hierarchical relationship. In response to the situation …

To support accidental spill rapid response efforts, oil spill simulations may generally need to
account for uncertainties concerning the nature and properties of the spill, which compound …