Multispectral thermal imaging

Many remote sensing applications rely on imaging spectrometry. Here the authors use imaging spectrometry for thermal and multispectral signatures measured from a satellite platform enhanced with a combination of accurate calibrations and on-board data for correcting atmospheric distortions. The approach is supported by physics-based end-to-end modeling and analysis, which permits a cost-effective balance between various hardware and software aspects. The goal is to develop and demonstrate advanced technologies and analysis tools toward meeting the needs of the customer; at the same time, the attributes of this system can address other applications in such areas as environmental change, agriculture, and volcanology

Real time quality control of meteorological data used in SRP's emergency response system

The Savannah River Laboratory's WIND minicomputer system allows quick and accurate assessment of an accidental release at the Savannah River Plant using data from eight meteorological towers. The accuracy of the assessment is largely determined by the accuracy of the meteorological data; therefore quality control is important in an emergency response system. Real-time quality control of this data will be added to the WIND system to automatically identify inaccurate data. Currently, the system averages the measurements from the towers to minimize the influence of inaccurate data being used in calculations. The computer code used in the real-time quality control has been previously used to identify inaccurate measurements from the archived tower data

Comparison of observed average concentrations of /sup 85/Kr with calculated values obtained from a wind rose model and a time-dependent wind trajectory model

The assessment of long-term environmental effects of industrial pollution is frequently obtained with a so-called stability wind rose model in combination with the Gaussian plume equation. Calculated values obtained with these models should be correct to within a factor of 2 or 3 when meteorological conditions at the point of release are identical with those conditions at the valid point of the calculation, normally, within 1 km. As the distance between these two points increases, the validity of the wind rose model degrades. As increased emphasis is placed on regional transport of air pollution, the wind rose model is being applied (without verification) over distances in excess of 50 km. This report presents some preliminary tests of the wind rose model with one-week-averaged concentrations of /sup 85/Kr observed at 13 sites. These sites were 30 to 140 km from a point source at the Savannah River Plant (SRP). A test was also made of a time-dependent curved trajectory model with one-week averaged concentrations

Computer code to assess accidental pollutant releases

A computer code was developed to calculate the cumulative frequency distributions of relative concentrations of an air pollutant following an accidental release from a stack or from a building penetration such as a vent. The calculations of relative concentration are based on the Gaussian plume equations. The meteorological data used for the calculation are in the form of joint frequency distributions of wind and atmospheric stability