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Using a 3-D Air Quality Model to Simulate Ground-Level Ozone Production with Measured Speciated VOC in Sao Paulo, Brazil

机译:使用3-D空气质量模型模拟地面臭氧生产,巴西圣保罗测量的VOC

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One of the greatest challenges in modeling urban ozone is the development of representative and accurate input for air quality modeling. Special care must be taken when referring to the pollution inventory. In addition to the amount, spatial and temporal distribution of emitted pollutants, the knowledge of their chemical composition is of vital importance in order to portray atmospheric chemical transformations resulting in the production of secondary pollutants. It is therefore important to know the emitter profile and assign an appropriate chemical composition to the various pollutant flows to warrant a reliable description of the real environment assessed. Following this philosophy a joint study carried out by PETROBRAS R&D Center (CENPES) and Sao Paulo University Atmospheric Sciences Department (USP-IAG) was established aiming to assess the formation of ground-level tropospheric ozone. The 3-D Eulerian photochemical CIT model was used for the Metropolitan Area of Sao Paulo (MASP), together with local measurements for the ambient VOCs, thus upgrading previous studies of the same area of interest that resorted to published data. The present study aims to simulate MASP air pollution dynamics using measured concentrations of speciated VOCs in the local atmosphere covering the period from 30 March to 02 April 2004, when atmospheric VOC characterization campaigns were carried out by CENPES and its partners (DGA, USA). The total amounts of CO, NO_x, SO2 and VOCs were obtained from the official emissions inventory. Spatial distribution was proportional to the number of registered vehicles in each county, being the temporal emissions adjusted according to CO and NO_x profiles per day. Either observations or numerical modeling with the CSU Regional Atmospheric Modeling System (RAMS) were used to build the meteorological fields. Ambient concentrations of the criteria pollutants (NO2, CO, SO2 and ozone) were forecast and compared to the official air quality records (CETESB).
机译:Urban Ozone建模最大的挑战之一是开发出代表和准确输入的空气质量建模。在提及污染库存时必须特别注意。除了发出的污染物的空间和时间分布之外,他们的化学成分的知识至关重要,以便描绘大气化学转化导致次要污染物的生产。因此,重要的是要知道发射器型材并将适当的化学组合物分配给各种污染物流动,以便保证对评估的真实环境的可靠描述。在这一哲学之后,建立了由Petrobras研发中心(CENPES)和圣保罗大学大气科学部(USP-IAG)进行的联合研究,旨在评估地面层层臭氧的形成。 3-D Eulerian光化学CIT模型用于圣保罗(MASP)的大都市区,以及环境VOC的局部测量,从而提升了对同一兴趣领域的研究,诉诸公布的数据。本研究旨在模拟MASP空气污染动态,使用当地大气中的规格浓度在2004年3月30日至2004年4月02日的当地大气层中的测量浓度,当CENPES及其合作伙伴(DGA,USA)进行了大气VOC表征活动时,当时的大气录音。 CO,NO_X,SO2和VOC总量从官方排放量库存中获得。空间分布与每个县的注册车辆数量成正比,是根据每天CO和NO_X配置文件调整的时间排放。使用CSU区域大气建模系统(RAMS)的观察或数值建模用于构建气象领域。预测标准污染物(NO2,CO,SO2和臭氧)的环境浓度,并与官方空气质量记录(CETESB)进行比较。

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