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Application of MM5 and CAMx4 to local scale dispersion ofparticulate matter for the city of Christchurch, New Zealand

机译:MM5和CAMx4在新西兰克赖斯特彻奇市颗粒物局部分散中的应用

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摘要

A numerical model – Mesoscale model (MM5) – is used in conjunction with the 3-dimensionalrnEulerian/Lagrangian dispersion model (CAMx4) to model PM10 dispersion for a period of 48 hours forrnthe city of Christchurch, New Zealand. In a typical winter, Christchurch usually experiences severerndegradation in air quality. The formation of a nocturnal inversion layer during stagnant synopticrnconditions, and the emissions of particulate matter (PM10) mainly from solid fuel home heatingrnappliances (‘Domestic’ factor) leads to severe smog episodes on about 30 nights each winter. Thernmodelling results from the highest resolution computational grid are compared with the observedrnmeteorology and dispersion for winter 2000, when the Christchurch Air Pollution Study (CAPS2000)rnwas underway. Results from a case study in 2003 are also shown. The numerical modelling system isrnable to simulate surface-layer meteorology and PM10 spatial distribution with a good level of skill (I.e.rnIndex of Agreement and Pearson’s Correlation Coefficient > 0.8 for PM10).
机译:数值模型(中尺度模型(MM5))与3维欧拉/拉格朗日色散模型(CAMx4)结合使用,为新西兰基督城市的PM10色散建模了48小时。在典型的冬季,基督城通常会经历空气质量的严重下降。在天气停滞期间会形成夜间反转层,而颗粒物(PM10)的排放主要来自固体燃料家庭取暖设备(“家庭”因素),导致每个冬季约30晚出现严重的烟雾事件。在进行克赖斯特彻奇空气污染研究(CAPS2000)时,将最高分辨率的计算网格的模拟结果与2000年冬季观测到的气象和散布进行了比较。还显示了2003年的案例研究结果。该数值建模系统具有良好的技术水平(即rn的“协议索引”和PM10的Pearson的相关系数> 0.8),可以模拟表层气象和PM10的空间分布。

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