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SO2 NAAQS Designation Modeling Analyses for DRR Applicable Sources Compliance Demonstration - Case Study

机译:用于DRR适用来源合规性演示的SO2 NAAQS指定建模分析-案例研究

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The "Data Requirements for Characterizing Air Quality for the Primary SO2 NAAQS" (40 CFR 51.1200, herein referred to as the Data Requirements Rule - DRR) applies to the Piti and Cabras Guam Power Authority (GPA) electrical generating stations and thus requires an air quality review either by dispersion modeling or air quality monitoring. The purpose of the air quality review is to support the U.S. Environmental Protection Agency (EPA) and the Guam EPA (GEPA) in establishing the sulfur dioxide (SO2) National Ambient Air Quality Standard attainment status for the area on the Territory of Guam that may be significantly impacted by SO2 emissions from the applicable sources and other nearby contributors. GPA was advised by GEPA that the preferred path to complying with the DRR was through a dispersion modeling analysis. In compliance with the DRR requirements and prescribed schedule, GPA submitted a timely modeling protocol and initial compliance modeling demonstration by January 13, 2017. Comments received from GEPA and EPA on the initial submission suggested using actual emissions and re-running the modeling analyses based on the revised Guideline on Air Quality Models (Appendix W to 40 CFR 51) and new version of the AERMOD modeling system (version 16216r). Multiple disparate data sets including monthly fuel oil deliveries, episodic fuel oil firing logs, and hourly and daily power generation records were analyzed to compile three-year hourly emission data for each applicable source. It was found that the new version of the AERMOD modeling system led to significant reduction of predicted concentrations in many areas while increasing modeled impacts in other areas of the modeled domain when compared to AERMOD version 15181 predicted concentrations. This paper presents the procedure developed to determine hourly emissions from proxy operational data and the impact of using the latest modeling guidance and model version on the predicted concentrations from the DRR applicable sources and other nearby marine vessel sources of SO2 emissions. Recommendations for potential area compliance designation consideration are also provided.
机译:“表征主要SO2 NAAQS的空气质量的数据要求”(40 CFR 51.1200,在本文中称为“数据要求规则-DRR”)适用于皮蒂岛和卡布拉斯关岛电力局(GPA)发电站,因此需要空气通过扩散模型或空气质量监测进行质量检查。空气质量审查的目的是支持美国环境保护局(EPA)和关岛EPA(GEPA)建立关岛地区可能发生的二氧化硫(SO2)国家环境空气质量标准的状况。受到来自适用来源和附近其他贡献者的SO2排放的显着影响。 GEPA告知GPA,遵守DRR的首选方法是通过色散模型分析。根据DRR要求和规定的时间表,GPA于2017年1月13日之前提交了及时的建模协议和初始合规性建模演示。从GEPA和EPA收到的有关初始提交的评论建议使用实际排放量,并根据以下情况重新运行建模分析:修订后的《空气质量模型指南》(附录C至40 CFR 51)和新版本的AERMOD建模系统(版本16216r)。分析了多个不同的数据集,包括每月的燃油交付量,间歇性的燃油燃烧日志以及每小时和每天的发电记录,以汇编每个适用来源的三年每小时排放数据。发现与AERMOD版本15181的预测浓度相比,新版本的AERMOD建模系统导致许多区域的预测浓度显着降低,同时增加了建模域其他区域中的建模影响。本文介绍了根据代理运行数据确定每小时排放量的程序,以及使用最新的建模指导和模型版本对DRR适用源和其他附近船舶SO2排放源的预测浓度的影响。还提供了有关潜在区域合规性指定考虑因素的建议。

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