城市工业发展对酸性气体和悬浮粒子污染的最坏预测

R.W. Simpson, A.J. Jakeman
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引用次数: 5

摘要

Simpson等人(1983年)开发的CRES模型用于估计澳大利亚新南威尔士州纽卡斯尔的酸性气体和悬浮颗粒水平的最坏情况。研究表明,CRES模式考虑到长期气象波动和排放变化的影响。该模式用于在1951-1981年期间广泛的风速数据集中识别极端气象年。它用于估计与环境空气质量管理政策相一致的排放增加的允许范围,在这里表明维持世卫组织标准。通过比较极端气象年的结果,可以看出使用受限数据集的风险。这里使用的技术为在适用CRES模型假设的城市地区调查控制政策和空气质量管理方案的效果提供了基本基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting worst case pollution scenarios for acid gas and suspended particulates due to urban industrial development

The CRES model developed by Simpson et al. (1983) is used to estimate worst case scenarios for acid gas and suspended particulate levels in Newcastle, New South Wales, Australia. It is shown that the CRES model allows for the effects of both long-term meteorological fluctuations and changes in emissions. The model is used to identify the extreme meteorological years in an extensive wind speed data set for the period 1951–1981. It is applied to estimate the allowable range of increases in emissions consistent with ambient air quality management policy, demonstrated here as the maintenance of WHO standards. The risk of using restricted data sets is shown by comparing the results for extreme meteorological years. The techniques used here provide a fundamental basis for investigating the effects of control policy and air quality management options in an urban area where the assumptions of the CRES model are applicable.

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