| Autor: |
Apte, Michael G., Nero, Anthony V., Revzan, Kenneth L. |
| Předmět: |
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| Zdroj: |
Indoor Air; Mar98, Vol. 8 Issue 1, p61, 7p |
| Abstrakt: |
A meteorological database for the 48 contiguous states of the United States has been developed for use in indoor air pollution predictive models. The database contains predicted typical monthly meteorological statistics at the country level derived from hourly meteorological data from 208 (234 for precipitation) geographically distinct monitoring stations. Interpolation and extrapolation techniques were used to predict statistics for counties not containing a meteorological monitoring site. The LBNL database includes statistics for meteorological variables including dry-bulb temperature, dew-point temperature, barometric pressure, wind speed, wind direction, hours of precipitation, precipitation, and derived infiltration degree-days. The database consists of individual files of derived statistics for each weather variable and is potentially useful for indoor radon modeling as well as for other purposes. Each file contains data values for all 12 months and an aggregation of the 12 months up to a yearly statistic for all county centroids. A test was conducted to assess the quality of interpolated values. Examples showing the use of the database for mapping infiltration degree-days and an application of the database to a statistical correlation analysis attempting to find meteorological factors influencing indoor radon levels in the United States are discussed. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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