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首页> 外文期刊>Journal of Environmental Science and Health >Measurement of greenhouse gas emissions from agricultural sites using open-path optical remote sensing method
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Measurement of greenhouse gas emissions from agricultural sites using open-path optical remote sensing method

机译：使用开放路径光学遥感方法测量农业场所的温室气体排放

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摘要

Improved characterization of distributed emission sources of greenhouse gases such as methane from concentrated animal feeding operations require more accurate methods. One promising method is recently used by the USEPA. It employs a vertical radial plume mapping (VRPM) algorithm using optical remote sensing techniques. We evaluated this method to estimate emission rates from simulated distributed methane sources. A scanning open-path tunable diode laser was used to collect path-integrated concentrations (PICs) along different optical paths on a vertical plane downwind of controlled methane releases. Each cycle consists of 3 ground-level PICs and 2 above ground PICs. Three- to 10-cycle moving averages were used to reconstruct mass equivalent concentration plum maps on the vertical plane. The VRPM algorithm estimated emission rates of methane along with meteorological and PIC data collected concomitantly under different atmospheric stability conditions. The derived emission rates compared well with actual released rates irrespective of atmospheric stability conditions. The maximum error was 22 percent when 3-cycle moving average PICs were used; however, it decreased to 11% when 10-cycle moving average PICs were used. Our validation results suggest that this new VRPM method may be used for improved estimations of greenhouse gas emission from a variety of agricultural sources.
机译：改善集中动物饲养活动产生的温室气体（如甲烷）的分布排放源的特性需要更准确的方法。 USEPA最近使用了一种有前途的方法。它采用了采用光学遥感技术的垂直径向羽羽映射（VRPM）算法。我们评估了该方法以估算模拟分布式甲烷源的排放率。使用扫描的开放路径可调二极管激光器在受控的甲烷释放顺风的垂直平面上沿不同的光路收集路径积分浓度（PIC）。每个周期包含3个地面PIC和2个地上PIC。使用三至十个周期的移动平均值在垂直平面上重建质量当量浓度李图。 VRPM算法估算了甲烷在不同大气稳定条件下的排放率，并同时收集了气象和PIC数据。不管大气稳定条件如何，导出的排放率都可以与实际释放率很好地比较。当使用三周期移动平均PIC时，最大误差为22％。但是，使用10个周期的移动平均PIC时，下降到11％。我们的验证结果表明，这种新的VRPM方法可用于改进估算各种农业来源的温室气体排放量。

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