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

机译:SO2 NAAQS DRR适用来源的指定建模分析遵守演示 - 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:“用于初级SO2 NAAQS的空气质量的数据要求”(40 cfr 51.1200,这里称为数据要求规则 - DRR)适用于PITI和Cabras关岛电力机构(GPA)发电站,因此需要空气质量审查通过分散建模或空气质量监测。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)在可能的情况下为该区域建立二氧化硫(SO2)国家环境空气质量标准达到状态由适用来源和其他附近贡献者的SO2排放受到显着影响。 GPA通过GEPA建议,遵守DRR的优选路径是通过分散建模分析。符合DRR要求和规定的计划,GPA将于2017年1月13日提交了一个及时的建模协议和初始合规建模示范。从GEPA和EPA收到的初始提交的评论建议使用实际排放并重新运行建模分析经修订的空气质量模型指南(附录W至40 CFR 51)和新版Aermod建模系统(版本16216R)。分析包括每月燃料油输送,焦化燃油射击日志和每小时和日发发电记录的多个不同的数据集,以为每个适用来源编制三年小时的排放数据。结果发现,与Aermod版本15181预测集中的预测浓度相比,新版Aermod建模系统导致许多区域中预测浓度的显着降低了预测浓度,同时在建模域的其他区域中的建模冲击。本文介绍了为确定代理操作数据的每小时排放以及使用最新建模指导和模型版本在DRR适用来源的预测集中和附近的SO2排放的其他海洋船舶来源的影响的过程中,为确定的程序和模型版本的影响。还提供了潜在地区合规指定考虑的建议。

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