Risk assessment program fox chase,basic survival kit checklist,disaster preparedness lesson plan - Downloads 2016

Keep in mind that these download packages are intended for Microsoft Premier customers only.
If you run the tools it looks like this Below is the WDRAP It is an easy next next finish application but the result is more complex this is where the errors are. You can import desktops by text file , mine is not in a domain so I can do only a local test.
Microsoft Services Risk and Health Assessment Program for Windows Desktop (WDRAP) is a proactive, Premier Offering to assess the health, performance, and efficiency of Windows Vista and Windows XP-based desktop and portable computers.
Everything you read here is my own personal opinion and any code is provided "AS-IS" with no warranties. Risk Assessment Capacity Building Program in Zaporizhzhia Ukraine: Emissions Inventory Construction, Ambient Modeling, and Hazard Results Open Access JEP 1477Monographs on carcinogenic risks to humans). Risk Assessment Capacity Building Program in Zaporizhzhia Ukraine: Emissions Inventory Construction, Ambient Modeling, and Hazard Results Open Access JEP 1479plus TSP) with a spatial accuracy of several meters.
Risk Assessment Capacity Building Program in Zaporizhzhia Ukraine: Emissions Inventory Construction, Ambient Modeling, and Hazard Results Open Access JEP 1480 Figure 2. Risk Assessment Capacity Building Program in Zaporizhzhia Ukraine: Emissions Inventory Construction, Ambient Modeling, and Hazard Results Open Access JEP 1481 Table 2.
Risk Assessment Capacity Building Program in Zaporizhzhia Ukraine: Emissions Inventory Construction, Ambient Modeling, and Hazard Results Open Access JEP 1483 Table 3. The Verdasys Managed Service Risk Assessment Program begins with a questionnaire which gathers answers to key questions such as "Are users allowed to use Dropbox?" or "Are users allowed to email sensitive data to any known third parties?" The purpose of the questions is to determine if there are pre-existing policies in place. Managed Service for Information Protection from Verdasys is a hosted service that provides data governance, data-loss prevention, forensics, policy-based management and compliance services.
WDRAP performs over 500 in-depth tests against a group of your desktop and portable computers and your IT operational procedures.
Caldwell1, Andrei Serdyuk2, Olena Turos2, Arina Petrosian2, Oleg Kartavtsev2, Simon Avaliani3, Alexander Golub4, Elena Strukova5, Michael Brody6,7 1National Center for Environmental Assessment, Office of Research and Development, US Environmental Protection Agency, Washington DC, USA; 2O. Ukraine also has been identified as a major source of transbound- ary air pollution for the eastern Mediterranean region and a significant source of greenhouse gases emissions [2]. The a€?2-TPa€? (a€?AIRa€?) form was in- troduced in the Soviet Union in the 1980s with reporting required by law in Ukraine.
Input information for each of these emission points within the enterprises were used in the modeling calculations. List of priority pollutants from Zaporizhzhia emissions inventory used for more refined dispersion modeling.
Annual estimated concentrations for priority pollutants with a WOE of at least possibly carcinogenic to humans at 6 receptor points in Zaporizhzhia. This service is for enterprises that want to keep a close watch on data resources to make sure data isn't being accessed, downloaded, compromised or stolen by unauthorized users. WDRAP collects required configuration data, analyzes it to identify settings that deviate from recommended best practices, and generates remediation recommendations. After independence, Ukraine had set up a limited fund to begin to address its environmental problems. Inventory information for particulate matter (PM) was given in the form of total suspended particles (TSP).
Emis- sion point source parameters, wind speed profile adjust- ments, and pollutant removal by physical or chemical processes methods were given in the report [4] and are not shown here.
For EPA and IARC a€?Cannot be determineda€? and a€?Not classifiable as to human carcinogenic- itya€? mean that the chemicals have been assessed but a determination has been made that the available data do not support a classification.
This enables the enterprise to make sure that computers are optimally configured and maintained in order to provide a dependable and well-performing platform for business applications.
However, the system of pollution management in Ukraine was based on the Soviet System in which pollution limits were set to very low levels and generally not complied with [3].
The list of 30 major industrial Zaporizhzhia enterprises in the 2007 emissions inventory were those used to model emissions. The gender and age structure of the population in Zaporizhzhia, the number of residents in each neighbor- hood, and density of residents was collected from the Zaporizhzhia Regional Statistical Administration. This is not the same as the determination that the chemicals are probably not carcinogenic.
Once the Digital Guardian host agents are installed, customers immediately discover in full forensic detail where their sensitive data resides, who accesses it and how it is being used and processed. Despite setting standards for numerous individual compounds, no system to prioritize the control of pollu- tion and its sources were in place; nor had expertise been developed to perform those evaluations. Popu- lation data were geocoded and linked to the residential living places in the a€?ArcGIS environmenta€?.

MSIP customers can access their real-time risk intelligence through a configurable reporting dashboard where they can filter and drill into reports by policy rule, file name, type, user, alert, and event. The choices of which sources and pollutants to address and control were also made difficult by the magnitude of pollution, num- ber of the pollutants emitted, and number of significant pollution sources.
Unlike the EPA emission inventories, Ukra- inian plant emissions data are not public so that further examination or update of emissions in the inventory can- not occur. Population- based receptor points were linked to population density so that all of the population in each receptor point was similar with respect to the impact of ambient air pollution impacts. All MSIP reports and alerts are presented in real time and they are built from encrypted event metadata continuously.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The 2007 inventory includes a number of in- dustries that include not only steel-associated facilities but also silicon, asphalt, car repair, transformer, and a number of public corporations. Dispersion model outputs were hourly concen- trations produced at each receptor by combined source emissions: they were summed to obtain total 1-hour, 24- hour, month, and annual concentrations.
This metadata is captured by agents and automatically uploaded to Verdasys' secured hosting facilities for analysis. In accor- dance of the Creative Commons Attribution License all Copyrights © 2013 are reserved for SCIRP and the owner of the intellectual property Jane C. The US system and methodologies have been modified and adopted by Russia for similar applications. The land use classifications and population receptor points are shown in Figure 1 and the wind speeds are demonstrated by a wind rose in Figure 2.
The metadata is evidentiary-sound and can be used to re-create any chain of events in complete context with forensic accuracy without requiring any actual sensitive content to be recorded, stored or transmitted.
The US EPA has pro- vided training to develop risk assessment capabilities in Russia for a number of years [3]. Avaliani and Revich [14] proposed a 0.55 conversion coefficient to convert TSP into PM10 for Russia. MSIP offers customers continuously updated security intelligence on data location, usage, risk and trending reports through an intuitive, interactive reporting dashboard.
To help address some of the problems cited above and strengthen Ukrainea€™s capacity to set environmental pri- orities, the US EPA set up a partnership with Ukrainea€™s Ministry of Environment and Natural Resources (MENR) to develop expertise in environmental risk assessment and economic analyses. Dispersion Modeling Pollutant dispersion is dependent on terrain characteris- tics, land use type, and meteorological data. Hazard Characterization Of the 52 priority pollutants modeled for ambient air concentration estimates, a number of pollutants were identified as at least possible human carcinogens. ABSTRACT Historically, Ukraine has been a major source of industrial production for the former Soviet Union and the source of pollution associated with an aging industrial infrastructure. This Capacity Building Project (CBP) was funded through an US EPA Cooperative Agreement (CX4-831993) with the Environmental De- fense Fund (EDF); support also came from US EPAa€™s Offices of Research and Development, International Af- fairs, and the Chief Financial Officer. Dispersion modeling methods officially certified in Ukraine are adopted from the official risk assessment methods of Russia (Human Health Risk Assessment from Environ- mental Pollutants) [6] that were, in turn, modeled on EPA approaches [3]. The weight of evidence for human carcinogenicity was de- termined by either the US EPA [9] or the International Agency for Research on Cancer (IARC) [10].
The US Environmental Protection Agency (US EPA) and the Ukrainian Ministry of Environment and Natural Resources (MENR) entered into partnership to develop Ukrainian expertise and capacity in risk assessment so that Ukraine could more effectively use its National and Regional Envi- ronmental Protection Funds and set priorities for cleanup and regulation.
Ukrainian scientists, local officials, and EPA consultants conducted a pilot study in the heavily industrialized Zaporizhzhia Oblast so that the process, analytical tools, and approach for a risk assessment could be developed for and tailored to Ukrainian needs. In order to introduce the US system and provide risk as- sessment, management, and environmental finance in- formation, the project began with a series of workshops and consultations.
Table 2 shows the hazard information and the initial emission inventory information derived from the a€?EOLa€? air pollution software and the a€?2-TP AIRa€? data for the 52 priority pollutants identified by CAS number. Because many former Soviet regions have more combustion-related activities than average, a higher conversion coefficient was used than that for the world average 0.5 [17].
As a first step, site-specific information was obtained from multiple sources of air pollution and an emissions inventory of air pollution developed.
That model (ISC short term stack model) uses the steady-state Gaussian plume equation for a con- tinuous elevated source. In some cases the specific identities of the pollutants in the inventory is not clear and more than one CAS num- ber is given.
So that a template for data development and analyses could be implemented at the local level and then be adapted on a broader scale, a model case study was de- veloped with the assistance of municipal officials of the Zaporizhzhia Oblast. For each source and each hour, the origin of the sourcea€™s coordinate system is placed at Table 1.

After refinements were made to the inven- tory, Ukrainian scientists then performed exposure modeling using this information so that ambient concentrations of pollutants could be estimated. An Oblast is most analogous to a county in the US Resting on both sides of the Dnipro River with relatively flat topography, Zaporizhzhia is comprised of five administrative municipal zones on the left bank and two others on the right. List of the major source types of industrial Za- porizhzhia enterprises in the emissions inventory.
Results The 52 priority pollutants cited in the refined Zapori- zhzhia emissions inventory are presented in Table 2.
The Dnipropet- rovsk water reserve is situated on the north from the city, the Kakhovske water reserve on the south.
No Types of industry Contribution of emissions, %1 Coke industry 2 2 Steel-rolling industry 1 3 Silicon industry 1 4 Steel production 41 5 Alluminium industry 6 6 Abrasive industry 3 7 Transformer industry 1 8 Graphite industry 2 9 Titano-magnesium industry 1 10 Ferro-alloy industry 4 11 Glass factory 1 the ground surface at the base of the stack. Those pollutants identified by either US EPA or IARC as at least possible carcinogens and the estimates of their ambient concentrations at the 6 receptor points are shown in Table 3.
Results of the modeling effort demonstrated that emissions estimates of particulate matter (as measured by particles of less than 10 micron diameter or a€?PM10a€?) and a number of carcinogens were consistent with those from other cities with high con- centrations of metallurgical industries in former Soviet Union countries, and were above safety standards.
Data from the Statistics Administration in Zaporizhzhia Oblast (2007) indicate a population of ~800,000 for the year 2001 in a city area of 330 km2 [4]. A number of the priority pollutants also be- long to chemical groups with potential toxicity variations between members within those groupings.
Hazard in- formation was gathered from international databases for each of the estimated pollutants. The choice was ideal as model of significant Ukrainian air pollution sources as the Oblast is the countrya€™s largest producer of high quality steel, nonferrous metals, ferrous-alloys, power transfor- mers, various equipment, and automobiles. The specific- ity of the inventory information for such pollutants is dependent on information provided in the 2-TP (AIR) (a) (b) (c) (d) Figure 1. Discussion Often, former Soviet countries (including Ukraine) have used a retrospective rather than prospective approach for assessment of health effects from pollution. Using such data, prioritization and identification of potential health concerns can be made, but most importantly, the expertise and experience gained from the pilot allowed for continued support of risk assessment capacity building in the Ukraine and support by the World Bank. This paper describes some of the key results of the Ukrainian pilot project included in the a€?Final Report on the project a€?Environmental Capacity Building in the NISa€? US EPA grant registration # X4-83199301 (US Environmental Protection Agency (EPA), Environmental Defense Fund (EDF), Marzeev Institute of Hygiene and Medical Ecology AMSU (IHME), Center of Environ- mental Health and Risk Assessment (CEHRA) [4]. EPA collaborators had access to the final report, which formed the basis of this paper, but not the original data.
Specifi- cally, this paper focuses on the development of the emis- sions inventory and dispersion modeling for derivation of ambient concentrations of pollutants at various popula- tion receptor points at the Zaporizhzhia oblast level. Meteorological data for the entire year of 2005 were provided by the Za- porizhzhia Hydro-Meteorological Service (HydroMet).
The composite overview of land use along the Dnipro River basin and Zaporizhzhia includes: Grey as an industrial zone, Brown as low-rise housing zone, Orange as high-rise housing zone, Blue as the Dnipro River, and Green as flora. More recent hazard data from international sources is also presented for modeled pollutants.
For the housing zone (c); light brown indicates high-rise housing and darker brown low-rise housing.
Zaporizhzhia belongs to the zone with continental type of climate with hot sum- mer and moderate cold winter. Exposure Data Collection Because of Ukrainea€™s system of legally binding monitor- ing systems and related information used for permitting and fees, local emissions data from stationary sources were generally available for Zaporizhzhia. The yearly precipitation rate is 469 mm and average snow cover is 14 cm with a maximum of 35cm.
Zaporizhzhia) and processed by ArcGIS software to pinpoint 5000 emission points using US Geological Sur- vey methods [4]. Based on information in air pollution modeling soft- ware and a€?2-TPa€? (a€?AIRa€?) form, 76 pollutants were iden- tified in the inventory.
As a first step, initial ground level calculations of annual concentrations for 34 pollutants were estimated for 6 population-based receptor points. Addi- tional calculations were done for total suspended parti- cles (TSP), using a specialized model of calculation TSP in the ISC-Aermod program.

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