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泰国玛塔卜工业区 NO 和 SO 分散模型及排放源的相对作用。

NO and SO dispersion modeling and relative roles of emission sources over Map Ta Phut industrial area, Thailand.

机构信息

The Joint Graduate School of Energy and Environment, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.

出版信息

J Air Waste Manag Assoc. 2012 Aug;62(8):932-45. doi: 10.1080/10962247.2012.687704.

Abstract

Map Ta Phut industrial area (MA) is the largest industrial complex in Thailand. There has been concern about many air pollutants over this area. Air quality management for the area is known to be difficult, due to lack of understanding of how emissions from different sources or sectors (e.g., industrial, power plant, transportation, and residential) contribute to air quality degradation in the area. In this study, a dispersion study of NO2 and SO2 was conducted using the AERMOD model. The area-specific emission inventories of NOx and SO2 were prepared, including both stack and nonstack sources, and divided into 11 emission groups. Annual simulations were performed for the year 2006. Modeled concentrations were evaluated with observations. Underestimation of both pollutants was Jbund, and stack emission estimates were scaled to improve the modeled results before quantifying relative roles of individual emission groups to ambient concentration overfour selected impacted areas (two are residential and the others are highly industrialized). Two concentration measures (i.e., annual average area-wide concentration or AC, and area-wide robust highest concentration or AR) were used to aggregately represent mean and high-end concentrations Jbfor each individual area, respectively. For AC-NO2, on-road mobile emissions were found to be the largest contributor in the two residential areas (36-38% of total AC-NO2), while petrochemical-industry emissions play the most important role in the two industrialized areas (34-51%). For AR-NO2, biomass burning has the most influence in all impacted areas (>90%) exceptJor one residential area where on-road mobile is the largest (75%). For AC-SO2, the petrochemical industry contributes most in all impacted areas (38-56%). For AR-SO2, the results vary. Since the petrochemical industry was often identified as the major contributor despite not being the largest emitter, air quality workers should pay special attention to this emission group when managing air quality for the MA.

摘要

玛塔府工业区(MA)是泰国最大的工业区。该地区存在许多空气污染物,引起了人们的担忧。由于缺乏对不同来源或部门(如工业、电厂、交通和居民区)排放物如何导致该地区空气质量下降的了解,该地区的空气质量管理一直很困难。在这项研究中,使用 AERMOD 模型对 NO2 和 SO2 进行了扩散研究。编制了包括烟囱和非烟囱源在内的特定区域的 NOx 和 SO2 排放清单,并将其分为 11 个排放组。对 2006 年进行了年度模拟。用观测值评估模型浓度。两种污染物均存在低估,烟囱排放估算值被缩放,以便在量化四个选定受影响区域(两个是居民区,另两个是高度工业化区域)中单个排放组对环境浓度的相对作用之前,改进模型结果。使用两种浓度衡量标准(即年平均区域平均浓度或 AC,以及区域广泛稳健最高浓度或 AR)分别代表每个单独区域的平均和高端浓度。对于 AC-NO2,在两个居民区中,道路交通移动排放被认为是最大的贡献者(占总 AC-NO2 的 36-38%),而在两个工业化区域中,石化工业排放起着最重要的作用(34-51%)。对于 AR-NO2,除了一个居民区(其中道路交通排放最大,占 75%)外,生物质燃烧在所有受影响区域都有最大的影响(>90%)。对于 AC-SO2,石化工业在所有受影响区域的贡献最大(38-56%)。对于 AR-SO2,结果各不相同。尽管石化工业不是最大的排放者,但经常被认为是主要贡献者,因此空气质量工作者在管理 MA 的空气质量时应特别注意该排放组。

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