Modeling the Variation of Wind Speed with Height for Agricultural Source Pollution Control
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Since 1905, the Department of Agricultural Engineering, now the Department of Agricultural and Biosystems Engineering (ABE), has been a leader in providing engineering solutions to agricultural problems in the United States and the world. The department’s original mission was to mechanize agriculture. That mission has evolved to encompass a global view of the entire food production system–the wise management of natural resources in the production, processing, storage, handling, and use of food fiber and other biological products.
History
In 1905 Agricultural Engineering was recognized as a subdivision of the Department of Agronomy, and in 1907 it was recognized as a unique department. It was renamed the Department of Agricultural and Biosystems Engineering in 1990. The department merged with the Department of Industrial Education and Technology in 2004.
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1905–present
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- Department of Agricultural Engineering (1907–1990)
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- College of Agriculture and Life Sciences (parent college)
- College of Engineering (parent college)
- Department of Industrial Education and Technology, (merged, 2004)
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Abstract
Wind speed is an imponant parameter in modeling odor transmission from an agricultural source. It is common to measure wind speed at a single height above the ground, for instance 10 m. Since wind speed increases more rapidly with height, it is always necessary to interpolate this measurement to the height where the odor is sampled. This project investigated the variation of wind speed with height (0 m to 10m) using data from weather stations and a precise airspeed probe. Five mathematical models were evaluated by means of statistical indices. The logarithmic model did not adequately describe the variation of wind speed at a height of 0 m to 10 m above the ground. The power law model was found more applicable with the exponent in the range of0.3 to 0.6. Besides the logarithmic and power law models, the three-parameter exponential model can favorably fit wind speed vs. height. Wind data measured at 10 m can then be easily interpolated to any height from 0 m to 10m using models with the estimated parameters in this research.
Comments
This article is from ASHRAE Transactions. 104, Part 1B (1998); 1695–1691.