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Sensitivity analysis of AERMOD calculation algorithms with respect to the micrometeorological parameters in a tropical region

机译：热带地区微型气象参数Aermod计算算法的敏感性分析

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Results of a sensitivity analysis performed on the atmospheric dispersion algorithms of AERMOD with respect to the turbulence parameters in a tropical region are presented. It is also discussed the AERMOD behavior under high moisture and solar radiation meteorological conditions. The sensitivity analysis was carried out running AERMOD under different meteorological scenarios characteristic of a tropical region. Each one of the meteorological parameters, such as wind speed, temperature, friction velocity, convective velocity, Monin-Obukhov length, sensible heat flux, vertical gradient of temperature, and mixing height, was perturbed around a reference meteorological scenario. For each reference scenario, it was considered 37 perturbation levels. The sensitivity analysis shows that wind speed, friction velocity and convective scale velocity are the most relevant meteorological parameters in the AERMOD estimation of the spatial distribution of the pollutant concentration. Although in a minor degree, it was found that Monin-Obukhov length is also important because it defines which algorithm would be used in according to the prevailing stability conditions. The AERMOD capability to simulate correctly the atmospheric dispersion phenomenon in a tropical region was evaluated by comparing the AERMOD estimates with air quality experimental data. In this case, the AERMOD simulations were carried out using micrometeorological data and sulfur dioxide emission rates measured in situ. The air quality monitoring sites were located downwind from the source within a region where no other sulfur dioxide sources exist. Comparison between the model estimates and air quality data indicates that AERMOD can be considered as a good tool to evaluate the environmental impact in a tropical region.
机译：呈现了对热带区域中的湍流参数的对Aermod的大气分散算法进行的敏感性分析的结果。还在高水分和太阳辐射气象条件下讨论了Aermod行为。在热带地区的不同气象场景下运行Aermod的敏感性分析。诸如风速，温度，摩擦速度，对流速度，MONIN-OBUKHOV长度，明智的热通量，温度梯度和混合高度的每一个气象参数，如风速，温度，摩擦速度，明智的热通量，垂直梯度和混合高度，围绕参考气象场景扰乱。对于每个参考场景，它被认为是37个扰动水平。灵敏度分析表明，风速，摩擦速度和对流尺度速度是污染物浓度的空间分布的Aermod估计中最相关的气象参数。虽然在一项小程度上，发现MONIN-OBUKHOV长度也很重要，因为它定义了根据主要稳定条件使用的算法。通过将Aermod估计与空气质量实验数据进行比较来评估热带区域中的Aermod能力。在这种情况下，使用以原位测量的微晶数据和硫二氧化硫排放率进行Aermod模拟。空气质量监测部位从源位于不存在其他硫源的区域内的源。模型估计和空气质量数据之间的比较表明Aermod可以被认为是评估热带地区环境影响的良好工具。

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