No abstract

An extensive field study has been undertaken to quantify the aerial release of spray material through the changes in meteorology as the day progresses. An important subset of these collected data is one-second interval data of the aircraft behavior and the mechanical release systems. These unique data provide an excellent source of information on bounding the variability in the expected deposition patterns, and how this variability might impact any error bounds established around the timeaveraged predictions generated by the AGDISP model. This paper quantifies the variability in aerial application parameters and makes suggestions with regard to possible implications of this variability on the variability of deposition predictions in the flight line direction.

An extensive data set generated with a highly instrumented aircraft provides 0.2-s interval data of aircraft and mechanical release system behavior during aerial application. These unique data previously provided an excellent source of information on the variability of aerial application parameters along individual flight lines and enabled a sensitivity analysis to bound the variability in the expected deposition patterns. They also showed how this variability might impact any error bounds established around the time-averaged predictions generated by the AGDISP model. This paper quantifies the variability in the drop size distribution generated by the rotary atomizers and makes suggestions with regard to possible implications of this variability on the variability of deposition predictions across any spray application involving their use. The measured variability may not be unique to rotary atomizers, as a sensitivity study of hydraulic atomizers gives similar results.

No abstract

An extensive field study has been undertaken to quantify the aerial release of spray material through the changes in meteorology as the day progresses. An important subset of these collected data is one-second interval data of the aircraft behavior and the mechanical release systems. These unique data provide an excellent source of information on bounding the variability in the expected deposition patterns, and how this variability might impact any error bounds established around the time-averaged predictions generated by the AGDISP model. This paper quantifies the variability in aerial application parameters and makes suggestions with regard to possible implications of this variability on the variability of deposition predictions in the flight line direction.