|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|4758866||1361712||2018||12 صفحه PDF||ندارد||دانلود کنید|
â¢Aircraft-based CH4 measurements yield high resolution flux estimates.â¢Comparable CH4 flux measurements using EC, wavelet covariance and REA techniques.â¢Wavelet analysis separates CH4 emissions from managed and unmanaged CH4 sources.â¢Larger top-down CH4 flux than agricultural bottom-up CH4 emissions.â¢Wetland area and surface temperature influence the top-down flux estimates.
Agriculture is estimated to produce more than 40% of anthropogenic methane (CH4) emissions, contributing to global climate change. Bottom-up, IPCC based methodologies are typically used to estimate the agriculture sectorâs contribution, but these estimates are rarely verified beyond the farm gate, due to the challenge of separating interspersed sources. We present flux measurements of CH4, using eddy covariance (EC), relaxed eddy accumulation (REA) and wavelet covariance obtained using an aircraft-based measurement platform and compare these top-down estimates with bottom-up footprint adjusted inventory estimates of CH4 emissions for an agricultural region in eastern Ontario, Canada. Top-down CH4 fluxes agree well (meanÂ Â±Â 1 standard error: ECÂ =Â 17Â Â±Â 4Â mg CH4Â mâ2Â dâ1; REAÂ =Â 19Â Â±Â 3Â mg CH4Â mâ2Â dâ1, wavelet covarianceÂ =Â 16Â Â±Â 3Â mgÂ CH4Â mâ2Â dâ1), and are not statistically different, but significantly exceed bottom-up inventory estimates of CH4 emissions based on animal husbandry (8Â Â±Â 1Â mgÂ CH4Â mâ2Â dâ1). The discrepancy between top-down and bottom-up estimates was found to be related to both increasing fractional area of wetlands in the flux footprint, and increasing surface temperature. For the case when the wetland area in the flux footprint was less than 10% fractional coverage, the top-down and bottom-up estimates were within the measurement error. This result provides the first independent verification of agricultural methane emissions inventories at the regional scale. Wavelet analysis, which provides spatially resolved fluxes, was used to attempt to separate CH4 emissions from managed and unmanaged CH4 sources. Opportunities to minimize the challenges of verifying agricultural CH4 emissions inventories using aircraft flux measuring systems are discussed.
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Journal: Agricultural and Forest Meteorology - Volume 248, 15 January 2018, Pages 48-59