利用马来西亚气象数据为AERMOD准备气象输入

Tan Yen Chen, L. Abdullah, Tan Poh Aun
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引用次数: 2

摘要

高斯羽散模型- AMS/EPA监管模型(AERMOD)已被认为是首选的监管空气分散模型,并已被证明比其他可用的模型表现更好。然而,马来西亚的气象数据参数有限,记录的数据不足以用于AERMOD。目前,处理后的气象资料必须向海外气象资料服务供应商购买。处理后的数据不能准确地反映现场的真实情况。本研究包括识别马来西亚半岛4个气象站(金马仑高原、素邦、雪邦吉隆坡和关丹)的缺失数据,替换缺失数据,并按照AERMOD要求的格式编制数据。研究的结果是一种方法,以取代缺失的数据和计算使用大量的公式,这是基于某些实际和科学的假设开发的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preparation of meteorological input for AERMOD using Malaysian meteorological data
Gaussian plume dispersion model — AMS/EPA Regulatory Model (AERMOD) has been recognised as the preferred regulatory air dispersion model and has been proven to perform better than other available models. However, Malaysian meteorological data has limited parameters and the data recorded is inadequate to be used in AERMOD. Currently, processed meteorological data has to be bought from meteorological data service providers located overseas. The processed data does not represent the real conditions experienced at the site accurately. The study involves the identification of missing data in 4 meteorological stations located in Peninsular Malaysia (Cameron Highlands, Subang, Sepang KLIA, and Kuantan), replacement of the missing data and preparation of the data in accordance with the format that AERMOD requires. The study result in a methodology to replace missing data and calculation using bulk formulae which is developed based on certain assumptions that are practical and scientific.
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