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Modeled Representation of Visibility Impacts due to Emissions Associated with Oil and Gas

机译:由于与石油和天然气相关的排放导致的可见性影响的模型表示

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We evaluate the model estimated impact of emissions from oil and gas (O&G) activities on visibility, focusing on National Parks (NPs) in the Western US. We use a regional photochemical modeling platform representing a best estimation of emissions and meteorology in the year 2011. This platform includes fine spatial (12km by 12km) and temporal (hourly) detail of inputs and includes the most current estimation of emissions associated with O&G activities in the Western US. The O&G emissions inventory was developed and evaluated for model performance by the Intermountain West Data Warehouse -Western Air Quality Study (IWDW-WAQS). By running the model both with and without emissions associated with O&G and comparing the model output of these two runs, we can estimate the modeled impact of O&G emissions on all air quality metrics including visibility. We show how O&G impacts on visibility change between the highest and lowest impaired days and seasons, and we evaluate the relative impact of the different species that make up fine Particulate Matter (PM). We also explore emissions modeling assumptions related to primary PM speciation. Findings suggest that O&G impacts on visibility are mostly localized in the Western US meaning that O&G operations have the largest impact on visibility in NPs that are located close to O&G basins. However, O&G impacts on visibility are widespread in Texas and Oklahoma mostly related to the formation of nitrate during winter months. At eleven class II national parks, which are not subject to the Regional Haze Rule requirements, the O&G production activity contributed more than 0.5 DV to the average 20% worst haze days. Finally, relative to the Federal Land Managers' Air Quality Related Values Group (FLAG) criteria, there are six National Park Service units with greater than 1 deciview (DV) modeled change in visibility due to O&G emissions on more than 50 days of the 2011 modeling year, and 17 NPs where O&G caused more than 0.5 DV of haze on at least 50 days a year.
机译:我们评估石油和天然气(o&g)活动对可见性的估计影响,专注于美国西部的国家公园(NPS)。我们使用一个区域光化学建模平台,代表2011年的排放和气象的最佳估计。该平台包括罚款(12km达12公里)和时间(每小时)输入的细节,包括最新的与O&G活动相关的排放估算在美国西部。开发了O&G排放库存并评估了由Intermount West Data Risthouse -Western Air质量研究(IWDW-WAQ)的模型性能。通过使用与O&G相关的模型以及与O&G相关的发射并进行比较这两次运行的模型输出,我们可以估计O&G排放对所有空气质量指标的建模影响,包括可见性。我们展示了如何对最高和最低损害的日子和季节之间的可见性变化的影响如何,我们评估了构成细颗粒物质(PM)的不同物种的相对影响。我们还探讨了与初级PM物种相关的排放建模假设。调查结果表明,对我们西方的可见性的O&G对我们的影响主要是对O&G操作对位于O&G盆地附近的NPS中的最大影响。然而,对可见性的影响力在德克萨斯州和俄克拉荷马州的普遍存在冬季期间与硝酸盐形成有关。在II级别的国家公园,不受区域雾霾规则要求的影响,O&G生产活动贡献了0.5多DV至平均最差的阴霾日。最后,相对于联邦土地管理人员的空气质量相关价值观组(旗帜)标准,由于2011年超过50天的O&G排放,有六个国家公园服务单位具有超过1个DECIVIEW(DV)的可见性变化建模年份和17个NPS,O&G每年至少50天导致超过0.5V的阴霾。

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