Integration of remote lidar and in-situ measured data to estimate particulate flux and emission from tillage operations

Vladimir V. Zavyalov; Gail E. Bingham; Michael Wojcik; Jerry L. Hatfield; Thomas D. Wilkerson; Randal S. Martin; Christian Marchant; Kori Moore; Bill Bradford

doi:10.1117/12.865140

2 November 2010 Integration of remote lidar and in-situ measured data to estimate particulate flux and emission from tillage operations

Vladimir V. Zavyalov, Gail E. Bingham, Michael Wojcik, Jerry L. Hatfield, Thomas D. Wilkerson, Randal S. Martin, Christian Marchant, Kori Moore, Bill Bradford

Author Affiliations +

Proceedings Volume 7832, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VI; 78320H (2010) https://doi.org/10.1117/12.865140
Event: SPIE Remote Sensing, 2010, Toulouse, France

Abstract

Agriculture, through wind erosion, tillage and harvest operations, burning, diesel-powered machinery and animal production operations, is a source of particulate matter emissions. Agricultural sources vary both temporally and spatially due to daily and seasonal activities and inhomogeneous area sources. Conventional point sampling methods originally designed for regional, well mixed aerosols are challenged by the disrupted wind flow and by the small mobile source of the emission encountered in this study. Atmospheric lidar (LIght Detection And Ranging) technology provides a means to derive quantitative information of particulate spatial and temporal distribution. In situ point measurements of particulate physical and chemical properties are used to characterize aerosol physical parameters and calibrate lidar data for unambiguous lidar data processing. Atmospheric profiling with scanning lidar allows estimation of temporal and 2D/3D spatial variations of mass concentration fields for different particulate fractions (PM1, PM_2.5, PM₁₀, and TSP) applicable for USEPA regulations. This study used this advanced measurement technology to map PM emissions at high spatial and temporal resolutions, allowing for accurate comparisons of the Conservation Management Practice (CMP) under test. The purpose of this field study was to determine whether and how much particulate emission differs from the conventional method of agricultural fall tillage and combined CMP operations.

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Vladimir V. Zavyalov, Gail E. Bingham, Michael Wojcik, Jerry L. Hatfield, Thomas D. Wilkerson, Randal S. Martin, Christian Marchant, Kori Moore, and Bill Bradford "Integration of remote lidar and in-situ measured data to estimate particulate flux and emission from tillage operations", Proc. SPIE 7832, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VI, 78320H (2 November 2010); https://doi.org/10.1117/12.865140

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