Civil and Environmental Engineering Commons^™

Comparison Between Analytical Probabilistic And Computer Simulation Models, Using Current Design Examples, Barry A. Palynchuk Phd

Barry A. Palynchuk PhD

Closed form analytical expressions have been developed to solve several basic problems related to the hydrologic design of storm water management facilities. The collection of these analytical expressions is referred to as the Analytical Probabilistic Storm Water Models (APSWM). APSWM can be used as an alternative to the design storm simulation models in the design and analysis of storm water management facilities. In this paper, a comparison is made between APSWM and design storm simulation models as applied to an actual design case. Conventional outputs such as runoff volume, peak discharge, and peak discharge from detention ponds are reviewed and …

Ocena Funkcjonowania Instalacji Oczyszczania Gazów Odlotowych Z Procesu Grafityzacji Elektrod Węglowych W Sgl Carbon S.A. W Nowym Sączu, Marian Mazur, Robert Oleniacz, Marek Bogacki, Przemysław Szczygłowski

Robert Oleniacz

The paper presents a general analysis of the suitability of individual elements of the flue-gas treatment system used in SGL Carbon SA in Nowy Sacz (Poland) for the graphitization process carried out in new LWG furnaces (Castner type). The flue-gas treatment system consisted of two installations: catalytic afterburning and flue-gas desulfurization. The analysis of the suitability of various methods of flue-gas treatment was based primarily on the assessment of the effects of their application, including the reduction of concentrations of selected components in post-graphitizing gases. The work also summarizes the results of evaluation of the functioning of the whole flue-gas …

Network Security Risk Assessment Modeling Tools For Critical Infrastructure Assessment, George H. Baker, Samuel Redwine, Joseph Blandino

George H Baker

The James Madison University (JMU) CIPP research team is developing Network Security Risk Assessment Modeling (NSRAM) tools that will enable the assessment of both cyber and physical infrastructure security risks. The effort is driven by the need to predict and compute the probability of adverse effects stemming from system attacks and malfunctions, to understand their consequences, and to improve existing systems to minimize these consequences.

The tools are targeted at systems supporting critical infrastructures varying from individual systems to organization-wide systems, to systems covering entire geographical regions. Early work emphasizes computing systems, but systems sharing the network nature of computing …