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RadNet Air Quality (Deployable) Data
RadNet Deployable Monitoring is designed to collect radiological and meteorological information and data asset needed to establish the impact of radiation levels on the environment. The RadNet Deployable System has been designed as a tool for radiological emergency response and can be used to support the current fixed stations of the EPA's RadNet monitoring network. It can also be used as a tool for monitoring areas associated with a real or perceived nuclear or radiological threat.
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RadNet Air Quality (Deployable) Data
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RadNet Deployable Monitoring is designed to collect radiological and meteorological information and data asset needed to establish the impact of radiation levels on the environment. The RadNet Deployable System has been designed as a tool for radiological emergency response and can be used to support the current fixed stations of the EPA's RadNet monitoring network. It can also be used as a tool for monitoring areas associated with a real or perceived nuclear or radiological threat.
Historical RadNet Air Quality Data
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This RadNet Air Quality Data Asset includes all historical data (prior to 2005, when ERAMS was expanded to become RadNet, name changed to reflect new mission)
Pollution Control Measures and Equipment
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This asset provides information on all operating and planned-committed electricity generation units (used as primary input for IPM)
ROE Radon Data
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The polygon dataset represents predicted indoor radon screening levels in counties across the United States. These data were provided by EPA’s Office of Radiation and Indoor Air as an Excel spreadsheet. In order to produce the Web mapping application, the Excel file was joined with a shapefile of U.S. county boundaries downloaded from the U.S. Census Bureau. Those two sets of data were then converted into a single polygon feature class inside a file geodatabase.
ROE Radon Data
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The polygon dataset represents predicted indoor radon screening levels in counties across the United States. These data were provided by EPA’s Office of Radiation and Indoor Air as an Excel spreadsheet. In order to produce the Web mapping application, the Excel file was joined with a shapefile of U.S. county boundaries downloaded from the U.S. Census Bureau. Those two sets of data were then converted into a single polygon feature class inside a file geodatabase.
ROE Radon Data
공공데이터포털
The polygon dataset represents predicted indoor radon screening levels in counties across the United States. These data were provided by EPA’s Office of Radiation and Indoor Air as an Excel spreadsheet. In order to produce the Web mapping application, the Excel file was joined with a shapefile of U.S. county boundaries downloaded from the U.S. Census Bureau. Those two sets of data were then converted into a single polygon feature class inside a file geodatabase.
RV Investigator Radon Data - Selected Voyages (2014 onwards)
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The Radon measurements are obtained from a sensor mounted on the Research Vessel RV Investigator of the Australian Marine National Facility (MNF) managed by CSIRO Oceans and Atmosphere (O&A), and processed by ANSTO's Institute for Environmental Research. The dataset includes quality-controlled data collected from 2014 onwards. The RV Investigator voyages where data was collected and processed are listed below in this record. Potential users of the dataset are encouraged to discuss any aspects of its application with the contact persons listed in the dataset “Notes” tab: we are very enthusiastic and keen to support and participate in your science! REFERENCES: Zahorowski, W. and Whittlestone, S. (1999). Radon database 1987-1996: A review. In: Baseline Atmospheric Program (Australia) 1996 (eds. Gras, JL, Derek N, Tindale, NW, and Dick, AL). Bureau of Meteorology and CSIRO Atmospheric Research, Melbourne, 71-80. Zahorowski, W. et al. (2013). Constraining annual and seasonal radon-222 flux density from the Southern Ocean using radon-222 concentrations in the boundary layer at Cape Grim. Tellus B, 65. ISSN 1600-0889. doi:http://dx.doi.org/10.3402/tellusb.v65i0.19622. Chambers, SD, Hong, SB, Williams, AG, Crawford, J, Griffiths, AD, & Park, SJ (2014). Characterising terrestrial influences on Antarctic air masses using Radon-222 measurements at King George Island. Atmospheric Chemistry and Physics, 14(18), 9903-9916. doi:http://dx.doi.org/10.5194/acp-14-9903-2014. Chambers, S, Williams, AG, Zahorowski, W, Griffiths, A and Crawford, J. (2011). Separating remote fetch and local mixing influences on vertical radon measurements in the lower atmosphere. Tellus B, 63: 843-859. doi:10.1111/j.1600-0889.2011.00565.x. Griffiths AD, Chambers SD, Williams AG and Werczynski SR. (2016). Increasing the accuracy and temporal resolution of two-filter radon-222 measurements by correcting for the instrument response. Atmos. Meas. Tech., 9:2689-2707. doi:10.5194/amt-9-2689-2016.
Ambient Air Quality Data Inventory
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The Office of Air and Radiation's (OAR) Ambient Air Quality Data (Current) contains ambient air pollution data collected by EPA, other federal agencies, as well as state, local, and tribal air pollution control agencies. Its component data sets have been collected over the years from approximately 10,000 monitoring sites, of which approximately 5,000 are currently active. OAR's Office of Air Quality Planning and Standards (OAQPS) and other internal and external users, rely on this data to assess air quality, assist in Attainment/Non-Attainment designations, evaluate State Implementation Plans for Non-Attainment Areas, perform modeling for permit review analysis, and other air quality management functions. Air quality information is also used to prepare reports for Congress as mandated by the Clean Air Act. This data covers air quality data collected after 1980, when the Clean Air Act requirements for monitoring were significantly modified. Air quality data from the Agency's early years (1970s) remains available (see OAR PRIMARY DATA ASSET: Ambient Air Quality Data -- Historical), but because of technical and definitional differences the two data assets are not directly comparable. The Clean Air Act of 1970 provided initial authority for monitoring air quality for Conventional Air Pollutants (CAPs) for which EPA has promulgated National Ambient Air Quality Standards (NAAQS). Requirements for monitoring visibility-related parameters were added in 1977. Requirements for monitoring acid deposition and Hazardous Air Pollutants (HAPs) were added in 1990. Most monitoring sites contain multiple instruments. Most also report meteorological data, including wind speed and direction, humidity, atmospheric pressure, inbound solar radiation, precipitation and other factors relevant to air quality analysis. The current system of sites represents a number of independently-defined monitoring networks with different regulatory or scientific purposes, such as the State and Local Air Monitoring System, the National Air Toxics Trends sites, the Urban Air Toxics sites, the IMPROVE visibility monitoring network, the air toxics monitoring sites for schools, and others. (A complete list of air quality monitoring networks is available at https://www.epa.gov/???). Efforts are under way through NCore Multipollutant Monitoring Network (https://www.epa.gov/ttnamti1/ncore/index.html) to streamline and integrate advanced air quality measurement systems to minimize costs of data collection. Measurements and estimates from these networks are collected across the entire U.S., including all states and territories, with emphasis on documenting pollutant exposures in populated areas.Sampling frequencies vary by pollutant (hourly, 3- and 8-hour, daily, monthly, seasonal, and annual measurements), as required by different NAAQS. Some 50,000 measurements per day are added to the EPA's central air quality data repository, the Air Quality System (AQS). All data, including meteorological information, is public and non-confidential and available through the AQS Data Mart (https://www.epa.gov/ttn/airs/aqsdatamart/). Generally, data for one calendar quarter are reported by the end of the following quarter; some values may be subsequently changed due to quality assurance activities.