• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Air and Waste Management Association annual conference and exhibition >Providing Representative Meteorological Data to AERMOD for the Liberty Borough Sulfur Dioxide One-Hour National Ambient Air Quality Standard State Implementation Plan
【24h】

Providing Representative Meteorological Data to AERMOD for the Liberty Borough Sulfur Dioxide One-Hour National Ambient Air Quality Standard State Implementation Plan

机译：向AERMOD提供代表性的气象数据，以实现自由市镇二氧化硫一小时国家环境空气质量标准州实施计划

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The Air Quality Program of the Allegheny County Health Department (ACHD) is preparing a State Implementation Plan (SIP) to address the new sulfur dioxide (SO2) one-hour National Ambient Air Quality Standard (NAAQS). Air-dispersion modeling will be used to help demonstrate attainment of the new standard in and around Liberty Borough, a nonattainment area of Allegheny County, Pennsylvania that is roughly ten miles southeast of Pittsburgh. This area is characterized by complex terrain. The recommended model for short-term SO_2 impacts within 50 km in complex terrain is the American Meteorological Society / Environmental Protection Agency Regulatory Model (AERMOD). As with dispersion models in general, AERMOD produces more reasonable output with better input data. For nonattainment areas in complex terrain, such as Liberty Borough, meeting the new SO_2 hourly concentration level will involve accurate quantification of crucial source emissions and release characteristics along with realistic representation of the atmospheric transport and mixing of the exhaust gases in the ambient air. Recent studies have demonstrated that the provision of accurate, representative meteorological data to AERMOD from prognostic models such as the Weather Research and Forecasting (WRF) model can improve AERMOD's output. WRF results coupled with the Comprehensive Air Quality Model with Extensions model in a previous Allegheny County SIP demonstration for PM_(2.5) were quite successful in reproducing the complicated flow pattern in the Liberty Borough area. So, the ACHD began running AERMOD with WRF input for the present Liberty Borough nonattainment area (which is more expansive than the previous area) with a select group of representative elevated point sources and no building parameters. The WRF-AERMOD output was compared not only to measured values of SO_2 impact, but also to results from the routine running of AERMOD with local (Liberty Borough) surface data and Pittsburgh National Weather Service (NWS) upper-air data and with just Pittsburgh NWS surface and upper-air data. In addition, runs were made to test the value of the LowWind BETA options with Liberty data. WRF-AERMOD runs yielded good results when compared with routine AERMOD runs, especially runs with the LowWind options. The WRF-AERMOD combination will be explored further for possible use in the ACHD SIP to demonstrate future attainment of the new SO_2 NAAQS. However, since use of prognostic-model input in AERMOD is not an approved Appendix W modeling method, approval from EPA will be required for a WRF-AERMOD combination, if it is to be used in the SIP.
机译：Allgheny县卫生部门（ACHD）的空气质量计划正准备国家实施计划（SIP）以解决新的二氧化硫（SO2）一小时国家环境空气质量标准（NAAQ）。空气分散型建模将用于帮助展示自由女神区和宾夕法尼亚州阿勒比县的非遗传区的新标准，大约是匹兹堡东南部大约十英里。该区域的特点是复杂的地形。在复杂地形中50公里内的短期SO_2的推荐模型是美国气象学会/环境保护局监管模型（Aermod）。与一般的分散模型一样，Aermod通过更好的输入数据产生更合理的输出。对于诸如自由自治市镇的复杂地形中的非遗赠区域，满足新的SO_2小时浓度水平将涉及准确地量化关键的源排放和释放特性以及环境空气中的大气输送和混合废气的逼真表示。最近的研究表明，从预后模型（如天气研究和预测（WRF）模型等预后模型提供准确，代表性的气象数据可以改善Aermod的输出。 WRF结果与前一个Allegheny County县的延伸模型综合空气质量模型相结合，PM_（2.5）的SIP演示在再现自由祸区域的复杂流动模式方面非常成功。因此，ACHD开始运行Aermod与WRF输入，用于当前自由Boough Nonattainment区域（比前一个区域更广泛），选择一组代表升高点源和没有建筑参数。不仅比较了WRF-Aermod输出不仅可以测量SO_2的影响，还可以从Aermod与当地（Liberty Borough）表面数据和匹兹堡国家天气服务（NWS）上空数据以及匹兹堡的常规运行NWS表面和上空数据。此外，已运行以测试Liberty数据的Lowwind Beta选项的值。与常规Aermod运行相比，WRF-Aermod运行产生了良好的效果，尤其与低音选项运行。 WRF-Aermod组合将进一步探索，以便在ACHD SIP中使用，以证明未来的新SO_2 NAAQ的成就。然而，由于使用Aermod中的预后模型输入不是批准的附录W造型方法，因此如果要在SIP中使用，则需要EPA的批准。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号