Trent Lott Geospatial Visualization Research Centre, Jackson State University, 1230 Raymond Road, Jackson, MS 39204, USA.
National Center for Biodefense Communications, Jackson State University, 1230 Raymond Road, Jackson, MS 39204, USA.
Int J Environ Res Public Health. 2011 Jun;8(6):2470-2490. doi: 10.3390/ijerph8062470. Epub 2011 Jun 23.
In this study, an attempt was made to simulate the air quality with reference to ozone over the Jackson (Mississippi) region using an online WRF/Chem (Weather Research and Forecasting-Chemistry) model. The WRF/Chem model has the advantages of the integration of the meteorological and chemistry modules with the same computational grid and same physical parameterizations and includes the feedback between the atmospheric chemistry and physical processes. The model was designed to have three nested domains with the inner-most domain covering the study region with a resolution of 1 km. The model was integrated for 48 hours continuously starting from 0000 UTC of 6 June 2006 and the evolution of surface ozone and other precursor pollutants were analyzed. The model simulated atmospheric flow fields and distributions of NO2 and O3 were evaluated for each of the three different time periods. The GIS based spatial distribution maps for ozone, its precursors NO, NO2, CO and HONO and the back trajectories indicate that all the mobile sources in Jackson, Ridgeland and Madison contributing significantly for their formation. The present study demonstrates the applicability of WRF/Chem model to generate quantitative information at high spatial and temporal resolution for the development of decision support systems for air quality regulatory agencies and health administrators.
在这项研究中,尝试使用在线 WRF/Chem(气象研究与预报-化学)模型模拟密西西比州杰克逊地区的空气质量和臭氧。WRF/Chem 模型具有将气象和化学模块集成到同一计算网格和相同物理参数化中的优势,并包括大气化学和物理过程之间的反馈。该模型设计有三个嵌套域,最内层域以 1 公里的分辨率覆盖研究区域。模型从 2006 年 6 月 6 日 0000 UTC 开始连续集成 48 小时,并分析了地面臭氧和其他前体污染物的演变。模型模拟了大气流场,并评估了三个不同时间段的每个时间段的 NO2 和 O3 的分布。基于 GIS 的臭氧、其前体 NO、NO2、CO 和 HONO 的空间分布地图和后向轨迹表明,杰克逊、里奇兰和麦迪逊的所有移动源对其形成有重要贡献。本研究证明了 WRF/Chem 模型在生成高时空分辨率定量信息方面的适用性,可为空气质量监管机构和卫生管理人员开发决策支持系统提供依据。