Download any white paper by clicking the links below, a short summary of each white paper has been added for your convenience.
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SAFER Systems’ White Papers:
- Advanced Back Calculation (ABC™) – An accurate dispersion estimation of a toxic plume requires weather data, identification of the chemical (and an understanding of its behavior) and the release rate of a chemical. Determining an accurate release rate is often difficult due to atmospheric turbulence and lack of sensor data. A patented solution for estimating the rate of a chemical release is presented, enabling organizations to predict the path, area and severity of the plume’s impact.
- An Optimal Approach to Perimeter Sensor Siting – An effective network of sensors for any industrial site that handles hazardous chemicals is crucial for the early warning and protection of potentially exposed populations in the surrounding area. Using the basic methodology of our previously published study, SAFER Systems has developed a novel and automated approach to determining the optimal location of hazardous gas sensors along a fenceline or perimeter that surrounds single or multiple hazard points.
- A Business Case for SAFER One™ – This paper presents a business case for deploying a single integrated, cloud-based platform — SAFER One™ — that collects data from your weather and gas sensors as well as Internet based resources to provide a single real-time common operating picture. The included patented modeling algorithms and collaboration features help create a more efficient and cost-effective process for chemical-incident monitoring, plume modeling, and emergency response.
- Dry and Wet Deposition of Gases into Underlying Surface – Dry deposition of air borne materials onto the underlying surface or vegetation canopies is an important variable to consider in estimating the sink for a toxic plume. It is a well-known fact that the leaves of the surrounding vegetation can occupy vast areas and therefore absorb many gaseous substances. To address the lack of data for the dry dispersion of chlorine onto soil, a major field test at the Dugway Proving Ground, UT, was undertaken during Spring 2010. The SAFER One chlorine dispersion modeling algorithm was updated based on the results of the Army’s study.
- Optimizing Open Path Gas Detection Technology with a Hybrid Approach – Open Path gas detection is quickly emerging as the technology of choice for fenceline and community air monitoring solutions. The ability to provide gapless air quality monitoring at the lowest cost per area monitored makes open path technology a lucrative option to explore for chemical and refining plants alike. This White Paper will define what Open Path technologies are and discuss how organizations are able to mitigate the few limitations of remote sensing technologies (e.g. Open Path) by integrating both Point and Open Path sensors at their facility.
- Risk Reduction with SAFER One™ – There is no one-size-fits-all approach to risk mitigation. Prioritization and proactive engagement are required to effectively mitigate operational risks; however, in many cases, operational risks are not part of the executive level discussions regarding risk mitigation. Often operational risks are managed on disparate systems relegated to support functions, with a focus on compliance. This paper will identify factors contributing to common operational risks at chemical and refining facilities, with an exploration of the costs for failing to mitigate those risks.
- Source Area Locator (SAL™) – A method is proposed for locating the source of a chemical using only the basic knowledge of meteorological information (wind speed, direction and stability) and two or more concentration measurements of the chemical released. The technique used in this approach is called the reverse corridor or back trajectory method. This method uses the horizontal dispersion information obtained from surface meteorological data at receptor locations to narrow the search domain for the release location, thus reducing the computational cost. This model establishes a confidence level for prediction of a release location under varying circumstances.