The monograph addresses a problem of stochastic analysis based on the uncertainty
assessment by simulation and application of this method in ecology and steel industry under …

The use of Monte Carlo (MC) simulation was presented in order to assess uncertainty in life
cycle inventory (LCI) studies. The MC method is finded as an important tool in environmental …

The purpose of the paper is to present the results of application of stochastic approach
based on Monte Carlo (MC) simulation for life cycle inventory (LCI) data of Mittal Steel …

A factorial-design-based stochastic modeling system (FSMS) was developed in this study to
systematically investigate impacts of uncertainties associated with hydrocarbon-contaminant …

The purpose of this article is to assess risk in order to substantiate the economic and
organizational efficiency of housing and industrial construction. The authors study methods …

Solute transport prediction is always subject to uncertainty due to the scarcity of observation
data. The data worth of limited measurements can be explored by conditional simulation …

The aim of this study was to (1) quantify the environmental impact of UK turkey systems and
(2) develop a methodology for analytical uncertainty analysis, as currently error propagation …

The existence of uncertainties is often mentioned as a crucial limitation for a clear
interpretation of LCA results. Due to this problem, slowly the uncertainty analysis is gaining …

Transport of contaminants through groundwater is an important research component in the
field of nuclear industry for designing the waste disposal facilities and remedial action plans …

The problem of water quality management under uncertain emission levels, reaction rates
and pollutant transport is considered. Various performance measures: reliability, resiliency …