A Computer Simulation Model for Analyzing Mobile Source Air Pollution Control Strategies
Author: Mathtech, inc
Publisher:
Published: 1976
Total Pages: 192
ISBN-13:
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Author: Mathtech, inc
Publisher:
Published: 1976
Total Pages: 192
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1976
Total Pages: 189
ISBN-13:
DOWNLOAD EBOOKAuthor: United States. Environmental Protection Agency. Office of Research and Development
Publisher:
Published: 1976
Total Pages: 100
ISBN-13:
DOWNLOAD EBOOKAuthor: Mathtech, inc
Publisher:
Published: 1976
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1976
Total Pages: 180
ISBN-13:
DOWNLOAD EBOOKAuthor: National Industrial Pollution Control Council
Publisher:
Published: 1971
Total Pages: 28
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1976
Total Pages: 918
ISBN-13:
DOWNLOAD EBOOKAuthor: United States. Environmental Protection Agency. Office of Monitoring and Technical Support
Publisher:
Published: 1976
Total Pages: 412
ISBN-13:
DOWNLOAD EBOOKAuthor: United States. Environmental Protection Agency. Office of Research and Development
Publisher:
Published: 1976
Total Pages: 708
ISBN-13:
DOWNLOAD EBOOKAuthor: Zahari Zlatev
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 367
ISBN-13: 9401103119
DOWNLOAD EBOOK"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).