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首页> 外文会议>Tenth International Conference on Modelling, Monitoring and Management of Air Pollution Jul, 2002 City of Segovia >Influence of the micrometeorological parameters in the estimation of the atmospheric dispersion using the AERMOD
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Influence of the micrometeorological parameters in the estimation of the atmospheric dispersion using the AERMOD

机译：微气象参数对使用AERMOD估算大气弥散的影响

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摘要

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 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 simulations were carried out using micrometeorological data and SO_2emission rates measured in situ. The air quality monitoring sites were located downwind from the source within a region where no other SO_2 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：提出了针对热带地区湍流参数对AERMOD的大气弥散算法进行敏感性分析的结果。还讨论了在高湿度和太阳辐射气象条件下的AERMOD行为。敏感性分析是在热带地区不同的气象情景下运行AERMOD进行的。每个气象参数，例如风速，温度，摩擦速度，对流速度，莫宁-奥布科夫长度，显热通量，温度的垂直梯度和混合高度，都围绕参考气象场景进行了扰动。对于每个参考场景，它被认为是37个摄动水平。敏感性分析表明，在估算污染物浓度的空间分布时，风速，摩擦速度和对流尺度速度是最相关的气象参数。尽管在较小程度上发现了Monin-Obukhov长度也很重要，因为它根据当前的稳定性条件定义了将使用哪种算法。通过将AERMOD估算值与空气质量实验数据进行比较，评估了AERMOD能够正确模拟热带地区大气扩散现象的能力。在这种情况下，模拟是使用微气象数据和就地测量的SO_2排放率进行的。空气质量监测站位于没有其他SO_2排放源的区域内，远离该排放源。模型估算值与空气质量数据之间的比较表明，AERMOD可被视为评估热带地区环境影响的良好工具。

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