...
首页> 外文期刊>Journal of the air & waste management association >Combined analysis of modeled and monitored SO_2 concentrations at a complex smelting facility
【24h】

Combined analysis of modeled and monitored SO_2 concentrations at a complex smelting facility

机译:在复杂的冶炼厂对建模和监测的SO_2浓度进行综合分析

获取原文
获取原文并翻译 | 示例

摘要

Vale Canada Limited owns and operates a large nickel smelting facility located in Sudbury, Ontario. This is a complex facility with many sources of SO_2 emissions, including a mix of source types ranging from passive building roof vents to North America's tallest stack. In addition, as this facility performs batch operations, there is significant variability in the emission rates depending on the operations that are occurring. Although SO_2 emission rates for many of the sources have been measured by source testing, the reliability of these emission rates has not been tested from a dispersion modeling perspective. This facility is a significant source of SO_2 in the local region, making it critical that when modeling the emissions from this facility for regulatory or other purposes, that the resulting concentrations are representative of what would actually be measured or otherwise observed. To assess the accuracy of the modeling, a detailed analysis of modeled and monitored data for SO_2 at the facility was performed. A mobile SO_2 monitor sampled at five locations downwind of different source groups for different wind directions resulting in a total of 168 hr of valid data that could be used for the modeled to monitored results comparison. The facility was modeled in AERMOD (American Meteorological Society/U.S. Environmental Protection Agency Regulatory Model) using site-specific meteorological data such that the modeled periods coincided with the same times as the monitored events. In addition, great effort was invested into estimating the actual SO_2 emission rates that would likely be occurring during each of the monitoring events. SO_2 concentrations were modeled for receptors around each monitoring location so that the modeled data could be directly compared with the monitored data. The modeled and monitored concentrations were compared and showed that there were no systematic biases in the modeled concentrations.
机译:淡水河谷加拿大有限公司在安大略省萨德伯里拥有并经营着大型的镍冶炼厂。这是一个复杂的设施,有许多SO_2排放源,包括从被动建筑屋顶通风口到北美最高烟囱的各种排放源。此外,由于该设备执行批处理操作,因此排放速率会根据正在发生的操作而有很大的差异。尽管已通过源测试测量了许多源的SO_2排放率,但尚未从分散模型的角度测试这些排放率的可靠性。该设施是当地SO_2的重要来源,因此至关重要的是,当出于监管或其他目的而对该设施的排放进行建模时,所产生的浓度必须代表将实际测量或观察到的浓度。为了评估建模的准确性,对设施中SO_2的建模和监视数据进行了详细分析。移动SO_2监测器在不同风向的五个顺风向的五个位置进行了采样,以获取不同的风向,从而产生了总计168小时的有效数据,可用于建模以进行监测结果比较。使用特定于站点的气象数据在AERMOD(美国气象学会/美国环境保护局监管模型)中对设施进行建模,以使建模期间与所监视事件的时间一致。此外,在估算每个监视事件期间可能发生的实际SO_2排放量方面投入了大量精力。对每个监测位置周围的受体的SO_2浓度进行建模,以便可以将建模数据直接与监测数据进行比较。比较了模型浓度和监测浓度,结果表明模型浓度没有系统性偏差。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号