ORD Publications Summary

ORD Publications Summary
Author :
Publisher :
Total Pages : 412
Release :
ISBN-10 : UIUC:30112104127599
ISBN-13 :
Rating : 4/5 (99 Downloads)

Synopsis ORD Publications Summary by : United States. Environmental Protection Agency. Office of Monitoring and Technical Support

ORD Publications Summary

ORD Publications Summary
Author :
Publisher :
Total Pages : 708
Release :
ISBN-10 : STANFORD:36105132173837
ISBN-13 :
Rating : 4/5 (37 Downloads)

Synopsis ORD Publications Summary by : United States. Environmental Protection Agency. Office of Research and Development

Computer Treatment of Large Air Pollution Models

Computer Treatment of Large Air Pollution Models
Author :
Publisher : Springer Science & Business Media
Total Pages : 367
Release :
ISBN-10 : 9789401103114
ISBN-13 : 9401103119
Rating : 4/5 (14 Downloads)

Synopsis Computer Treatment of Large Air Pollution Models by : Zahari Zlatev

"Models are often the only way of interpreting measurements to in vestigate long-range transport, and this is the reason for the emphasis on them in many research programs". B. E. A. Fisher: "A review of the processes and models of long-range transport of air pollutants", Atmospheric Environment, 17(1983), p. 1865. Mathematical models are (potentially, at least) powerful means in the efforts to study transboundary transport of air pollutants, source-receptor relationships and efficient ways of reducing the air pollution to acceptable levels. A mathematical model is a complicated matter, the development of which is based on the use of (i) various mechanisms describing mathematically the physical and chemical properties of the studied phenomena, (ii) different mathematical tools (first and foremost, partial differenti al equations), (iii) various numerical methods, (iv) computers (especially, high-speed computers), (v) statistical approaches, (vi) fast and efficient visualization and animation techniques, (vii) fast methods for manipulation with huge sets of data (input data, intermediate data and output data).