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首页> 外文期刊>Journal of the air & waste management association >Near-Field Dispersion Modeling for Regulatory Applications
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Near-Field Dispersion Modeling for Regulatory Applications

机译:用于监管应用的近场色散建模

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This paper evaluates the application of dispersion models to estimate near-field pollutant concentrations in two case studies. The Industrial Source Complex Short-Term Model (ISCST3) was evaluated with hexavalent chromium measurements collected within 100 m of two facilities in Barrio Logan, San Diego, CA. ISCST3 provided reasonable estimates for higher pollutant concentrations but underestimated lower concentrations. To understand the observed distribution of concentrations in Barrio Logan, a recently conducted tracer experiment was analyzed. The tracer, sulfur hexafluoride, was released at ambient temperature from an urban facility at the University of California at Riverside, and concentrations were measured within 20 m of the source. Modeling results indicated that Industrial Source Complex-Plume Rise Model Enhancement and American Meteorological Society/U.S. Environmental Protection Agency Regulatory Model-Plume Rise Model Enhancement overestimated high concentrations and underestimated low concentrations. A diagnostic study with a simple Gaussian dispersion model that incorporated site-specific meteorology was used to evaluate model results. This study found that incorporating lateral meandering for nonbuoyant urban plumes in Gaussian dispersion models could improve concentration estimates even when downwash is not considered. Incorporating a meandering component in ISCST3 resulted in improvements in estimating hexavalent chromium concentrations in Barrio Logan. Credible near-source concentration estimates depend on accurate characterization of emissions, onsite micrometeorology, and a method to account for lateral meandering in the near field.
机译:本文在两个案例研究中评估了色散模型在估算近场污染物浓度中的应用。在加州圣迭戈的巴里奥洛根的两个工厂的100 m内收集的六价铬测量值评估了工业源综合短期模型(ISCST3)。 ISCST3提供了较高污染物浓度的合理估算,但低估了较低浓度。为了了解在Barrio Logan中观察到的浓度分布,分析了最近进行的示踪剂实验。示踪剂六氟化硫是在环境温度下从加利福尼亚大学河滨分校的城市设施中释放出来的,浓度在距源头20 m以内进行测量。建模结果表明,工业源复杂羽状上升模型的增强和美国气象学会/美国环境保护局管制模型-羽状上升模型增强功能高估了高浓度,而低估了低浓度。具有简单高斯分散模型并结合特定地点气象学的诊断研究用于评估模型结果。这项研究发现,即使不考虑向下冲洗,在高斯分散模型中将横向曲折并入非浮力城市羽流也可以改善浓度估计。在ISCST3中加入曲折成分可改善Barrio Logan中六价铬浓度的估算。可靠的近源浓度估算取决于排放物的精确表征,现场微气象学以及一种解决近场横向弯曲的方法。

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