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首页> 外文期刊>Water, Air, and Soil Pollution >Application of LIDAR Technique and MM5-CMAQ Modeling Approach for the Assessment of Winter PM_(10) Air Pollution: A Case Study in Beijing, China
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Application of LIDAR Technique and MM5-CMAQ Modeling Approach for the Assessment of Winter PM_(10) Air Pollution: A Case Study in Beijing, China

机译:LIDAR技术和MM5-CMAQ建模方法在冬季PM_(10)空气污染评估中的应用:以中国北京为例

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This paper reports the use of LIDAR technique, vertical wind profiler (VWP) and the coupled MM5-CMAQ air quality modeling system to investigate a high PM_(10) concentration episode occurred in Beijing, China during January 8-9, 2004. Through the regression analysis between the observed PM_(10) concentrations and the observed extinction coefficients, the converting formulas from the LIDAR records to the PM_(10) mass concentrations in Beijing have been found. Further, a 2-level-nested grid domain with spatial resolutions of 36 and 12 km have been designed and employed for this study, and the coupled MM5-CMAQ modeling system has then been evaluated using both the ground-level PM_(10) observations and the vertical profiles of PM_(10) deduced from the measured LIDAR extinction coefficients. Based on the verified modeling system, two emission scenarios were designed to quantitatively assess the trans-boundary PM_(10) contributions from the surrounding provinces of Beijing. The results illustrated that the particulate matter buildup over the Beijing region was due to a number of factors, including pollutants brought in from its surrounding provinces by the southwest winds and the emission from local sources within Beijing. It indicates that while Beijing needs to take positive steps to reduce its own pollution emissions, much effort should also be placed on demanding more pollution reduction and better environmental performance from its surrounding provinces.
机译:本文报道了使用LIDAR技术,垂直风廓线仪(VWP)和耦合的MM5-CMAQ空气质量建模系统来调查2004年1月8日至9日在中国北京发生的高PM_(10)浓度事件。通过对观测到的PM_(10)浓度和观测到的消光系数之间的回归分析,找到了从LIDAR记录到北京PM_(10)质量浓度的换算公式。此外,已设计并采用了空间分辨率分别为36 km和12 km的2级嵌套网格域,然后使用地面PM_(10)观测值对耦合的MM5-CMAQ建模系统进行了评估。从测得的LIDAR消光系数推导出PM_(10)的垂直剖面。基于经过验证的建模系统,设计了两种排放情景,以定量评估北京周边省份的跨境PM_(10)贡献。结果表明,北京地区的颗粒物堆积是由多种因素造成的,包括西南风从周边省份带入的污染物以及北京内部局部来源的排放。这表明,尽管北京需要采取积极步骤来减少自身的污染排放,但也应该付出很多努力,要求周边省份进一步减少污染并改善环境绩效。

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