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

机译:MM5和CAMx4在新西兰克赖斯特彻奇市局部分散颗粒物的应用

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摘要

A numerical model, Mesoscale Model version 5 (MM5), is used in conjunction with a three-dimensional Eulerian/ Lagrangian dispersion model (CAMx4) to model PM_(10) dispersion for a period of 48 h for the city of Christchurch, New Zealand. In a typical winter, Christchurch usually experiences severe degradation in air quality. The formation of a nocturnal temperature inversion layer during stagnant synoptic conditions, and the emissions of particulate matter (PM_(10)) mainly from solid fuel home heating appliances (the 'Domestic' factor) leads to severe smog episodes on about 30 nights each winter. The modelling results from the highest resolution computational grid are compared with observed meteorology and air pollution dispersion for winter 2000, when the Christchurch Air Pollution Study (CAPS2000) was underway. The numerical modelling system is able to simulate surface-layer meteorology and PM_(10) spatial distribution with a good level of skill, with the Index of Agreement and Pearson's correlation coefficient greater than 0.8 for PM_(10).
机译:数值模型(中尺度模型版本5(MM5))与三维欧拉/拉格朗日色散模型(CAMx4)结合使用,为新西兰基督城的PM_(10)色散建模了48小时。在典型的冬天,基督城通常会经历空气质量的严重下降。在天气停滞的情况下,夜间温度反转层的形成以及主要来自固体燃料家用电器的颗粒物(PM_(10))的排放(“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,将来自最高分辨率计算网格的建模结果与2000年冬季观测到的气象学和空气污染扩散进行了比较。该数值建模系统能够以较高的技术水平模拟表层气象学和PM_(10)的空间分布,其中PM_(10)的一致指数和Pearson相关系数大于0.8。

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