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Monte Carlo source detection of atmospheric emissions and error functions analysis

机译:蒙特卡罗大气排放源探测和误差函数分析

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摘要

A Monte Carlo algorithm is iteratively run to identify candidate sources for atmospheric releases. The values of the ground measurements of concentration are synthetically generated by a benchmark simulation of a Gaussian dispersion model. At each iteration, a Gaussian reflected plume model is applied to compute the dispersion from a candidate source, and the resulting concentrations are compared with the measurements at fixed points on the ground. Iterative algorithms for detection of atmospheric release sources are based on the optimization of an error function between numerical simulations and observations. However, the definition of error between observations and simulations by an atmospheric dispersion model is not univocal. In this paper, the comparisons are made using various error functions. The characteristics of different error functions between model predictions and sensor measurements are investigated, with a statistical analysis of the results. Sensitivity to domain size and addition of random noise to the measurements are also investigated.
机译:反复运行Monte Carlo算法,以识别大气释放的候选源。地面浓度测量值通过高斯色散模型的基准模拟综合生成。在每次迭代中,都应用高斯反射羽状流模型来计算来自候选源的色散,并将所得浓度与地面上固定点处的测量值进行比较。用于检测大气释放源的迭代算法基于数值模拟和观测值之间误差函数的优化。但是,大气弥散模型对观测和模拟之间误差的定义并不是明确的。在本文中,使用各种误差函数进行了比较。研究了模型预测和传感器测量之间不同误差函数的特征,并对结果进行了统计分析。还研究了对域大小的敏感性以及向测量中添加随机噪声。

著录项

  • 来源
    《Computers & geosciences》 |2010年第7期|P.902-909|共8页
  • 作者单位

    Department of Geography and Geoinformation Science, George Mason University, 4400 University Dr., Fairfax, VA 22030, USA Center for Earth Observing and Space Research, George Mason University, 4400 University Dr., Fairfax, VA 22030, USA;

    Center for Earth Observing and Space Research, George Mason University, 4400 University Dr., Fairfax, VA 22030, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    monte carlo; atmospheric emissions; source detection; dispersion model; error functions;

    机译:蒙特卡洛;大气排放;来源检测;色散模型错误功能;

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