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Validación de simulaciones de los modelos CALMET/CALPUFF en el entorno de una gran chimenea de central térmica

机译:火力发电厂大型烟囱环境中CALMET / CALPUFF模型的仿真验证

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摘要

CALMET/CALPUFF modeling system is frequently used in the study of atmospheric processes and pollution, and several validation tests were performed until now; nevertheless, most of them were based on experiments with a large compilation of surface and aloft meteorological measurements, rarely available. At the same time, the use of a large operational smokestack as tracer/pollutant source is not usual. In this work, first CALMET meteorological diagnostic model is nested to WRF meteorological prognostic model simulations (3x3 km2 horizontal resolution) over a complex terrain and coastal domain at NW Spain, covering 100x100 km2, with a coal-fired power plant emitting SO2. Simulations were performed during three different periods when SO2 hourly glc peaks were observed. NCEP reanalysis were applied as initial and boundary conditions. Yong Sei University-Pleim-Chang (YSU) PBL scheme was selected in the WRF model to provide the best input to three different CALMET horizontal resolutions, 1x1 km2, 0.5x0.5 km2, and 0.2x0.2 km2. The best results, very similar between them, were achieved using the last two resolutions; therefore, the 0.5x0.5 km2 resolution was selected to test different CALMET meteorological inputs, using several combinations of WRF outputs and/or surface and upper-air measurements available in the simulation domain. With respect to meteorological aloft models output, CALMET PBL depth estimations are very similar to PBL depth estimations using upper-air measurements (rawinsondes), and significantly better than WRF PBL depth results. Regarding surface models surface output, the available meteorological sites were divided in two groups, one to provide meteorological input to CALMET (when applied), and another to models validation. Comparing WRF and CALMET outputs against surface measurements (from sites for models validation) the lowest RMSE was achieved using as CALMET input dataset WRF output combined with surface measurements (from sites for CALMET model input). Following, CALPUFF model was applied to simulate the local atmospheric diffusion of SO2 (as an inert tracer) from a large power plant smokestack (with four parallel independent liners), considering two different stack configurations (one single point source as a summa of four liners vs. one point source per liner) and two different CALMET meteorological simulations (using as input dataset only the WRF model output vs. only surface and upper-air meteorological measurements). Comparison of those CALPUFF simulations results against the hourly average ground level concentration (glc) measurements shows that the best model performance was obtained by using only WRF model output as CALMET input; also, better glc results are obtained considering one point source per liner in CALPUFF simulations.
机译:CALMET / CALPUFF建模系统经常用于大气过程和污染的研究,迄今为止已经进行了多次验证测试;然而,它们大多数是基于大量地面和高空气象测量数据的实验,很少有。同时,通常不使用大型操作烟囱作为示踪剂/污染物源。在这项工作中,第一个CALMET气象诊断模型嵌套在WRF气象预测模型模拟(水平分辨率为3x3 km2)上,位于西班牙西北部一个复杂的地形和沿海地区,覆盖100x100 km2,其中燃煤电厂排放SO2。在观察到SO2每小时glc峰值的三个不同时期内进行了模拟。将NCEP重新分析用作初始条件和边界条件。在WRF模型中选择了Yong Sei University-Pleim-Chang(YSU)PBL方案,以便为三种不同的CALMET水平分辨率(1x1 km2、0.5x0.5 km2和0.2x0.2 km2)提供最佳输入。使用最后两个分辨率可以达到最好的结果,它们之间非常相似。因此,使用WRF输出和/或模拟域中可用的地面和高空测量的几种组合,选择0.5x0.5 km2的分辨率来测试不同的CALMET气象输入。对于高空气象模型输出,CALMET PBL深度估计与使用高空测量(拉松探空仪)的PBL深度估计非常相似,并且明显优于WRF PBL深度结果。关于地面模型的地面输出,将可用的气象站点分为两组,一组用于向CALMET提供气象输入(应用时),另一组用于模型验证。将WRF和CALMET输出与表面测量(来自用于模型验证的站点)进行比较,使用结合了表面测量(来自CALMET模型输入的站点)的WRF输出作为CALMET输入数据集,可以实现最低的RMSE。随后,考虑了两种不同的烟囱配置(一个单点源作为四个烟囱的总和),使用CALPUFF模型来模拟大型发电厂烟囱(具有四个平行的独立烟囱)中SO2(作为惰性示踪剂)的局部大气扩散相对于每个衬管一个点源)和两种不同的CALMET气象模拟(仅将WRF模型输出作为输入数据集,而仅将地面和高空气象测量用作输入数据集)。将这些CALPUFF模拟结果与每小时平均地面水平浓度(glc)测量结果进行比较,可以看出,仅将WRF模型输出用作CALMET输入,即可获得最佳模型性能。同样,在CALPUFF模拟中考虑每个衬管一个点源,可以获得更好的glc结果。

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