Near-field dust exposure from cotton field tilling and harvesting.
The frequency and intensities of dust exposures in and near farm fields, which potentially contribute to high intensity human exposure events, are undocumented due to the transient nature of local dust plumes and the difficulties of making accurate concentration measurements. The objective of this study is to measure near-field spatial concentrations of the dust plumes emitted during tilling and harvesting of an irrigated cotton field outside of Las Cruces, NM (soil class: fine-loamy, mixed, superactive, thermic Typic Calciargid). A comparison of remote lidar measurements of plumes emitted from cotton field operations with in situ samplers shows a strong agreement between the two techniques: r2 = 0.79 for total suspended particulates (TSP) and r2 = 0.61 for particulate matter with diameter less than or equal to 10 microm (PM10). Plume movement was dependent on the short-term wind field and atmospheric stability. Horizontal spread rate of the plumes, determined from lidar measured Gaussian dispersion parameters, was less than expected by a factor of 7. Thus, in-plume downwind concentrations were higher than expected. Vertical dispersion was dependent on the rise of "cells" of warm air convecting off the soil surface. On a windy day, discing the field showed TSP and PM10 concentrations at the source itself of up to 176 microg m(-3) and 120 microg m(-3), respectively. These resulted in in-plume peak TSP concentrations of about 1.22 microg m(-3) at 10 m downwind and 0.33 microg m(-3) at 100 m downwind. The measured concentrations highlight a potential exposure risk to people in and around farming operations.
Hiscox
April L
AL
Natural Resources Management and Engineering, The Univ. of Connecticut, Storrs, CT 06269, USA. april.hiscox@uconn.edu
Miller
David R
DR
Holmén
Britt A
BA
Yang
Wenli
W
Wang
Junming
J
D000383:Agriculture / Q000379:methods*; D000393:Air Pollutants / Q000032:analysis*; D004391:Dust / Q000032:analysis*; D004784:Environmental Monitoring; D003368:Gossypium; D008962:Models, Theoretical; D014919:Wind
D000393:Air Pollutants; D004391:Dust