沈阳市ADMS-Urban大气扩散模型的验证及应用

利用沈阳市 1999年度污染源排放清单和全年逐时气象数据验证了针对总悬浮颗粒物和二氧化硫的ADMS -Urban大气扩散模型 ,并将该模型应用到沈阳市大气环境容量测算和环境空气质量数值预报工作     

基于ADMS和线性规划的区域大气环境容量测算

基于ADMS-Urban和线性规划模型,构建了浓度－排放量反推模式,从区域自然生态环境和污染气象特征出发,以区域大气环境质量保护目标为约束条件,结合虚拟点源法测算区域大气环境容量.以北京市通州区进行案例分析,根据当地自然环境与污染气象特征等信息,在环境质量目标约束条件下,应用该方法测算出通州区的SO₂环境容量为41 311 t/a;但其空间分布极为不均,主要分布于建成区以外的乡镇,建成区的环境容量较小.由于通州区SO₂排放主要集中在采暖期的建成区,尽管全区的SO₂年排放量远小于其环境容量,但是仍然在建成区造成了严重污染.      

利用ADMS—Urban模型测算顺德区SO2环境容量

通过建立顺德区2004年的大气污染源排放清单、收集气象资料及大气自动监测站的SO2日均浓度数据，利用ADMS—Urban模型模拟了2004年1-12月期间12个大气自动监测站的SO2日均浓度，并与监测值进行了相关性分析。验证结果表明，模拟值与监测值相关性较好（相关性系数r=0．68），并通过相关性显著检验。利用修正后的ADMS—Urban模型和环境容量方程计算了顺德区SO2实际环境容量，计算值为5．1万t/a。     

应用ISCST3与ADMS-Urban预测抚顺TSP浓度的比较

应用工业源复合短期模型(ISCST3)和ADMS-Urban模型来确定抚顺市空气中TSP浓度。结果发现:ISC-ST3模拟TSP与实测值的相关系数到达0.77;ADMS-Urban模拟TSP与实测值的相关系数到达0.85。同时确认的数据表明在抚顺地区运用模型模拟大气中污染物的方法是可行的。综合比较ISCST3模型和ADMS-Urban模型发现ADMS-Urban要优于ISCST3,在某些方面ISCST3还需要进一步的改进和改善。     

不同源排放对世博规划区SO_2浓度贡献数值分析

基于世博园区主要污染源的排污统计分析,运用ADMS-Urban模型对世博园区SO2浓度变化规律进行数值模拟计算,从风向、风速、云盖度及降雨等方面分析对SO2浓度扩散的影响程度,以及分析SO2污染世博规划区空气质量最严重的不利因素。结果发现,对世博规划区SO2浓度贡献最大的为杨树浦发电厂;云量对污染物浓度扩散有一定的抑制作用,云盖度越高,污染物浓度水平越高;降雨对污染物浓度有削减作用,降水量越大,污染物浓度水平越低。结果表明,降雨对污染物浓度的削减作用远大于云量的抑制作用,SO2污染世博规划区空气质量最严重的不利因素为36.8°或190.8°的风向,这两种风向下世博规划区SO2浓度严重超标,相应最低浓度为62μg/m3或108μg/m3,远超过世博规划区空气质量标准值40μg/m3。     

燃煤控制对北京市空气质量的改善分析

根据清洁空气行动计划,北京市将继续调整能源结构,新建天然气热电中心替代燃煤发电,并且进行工业锅炉煤改气、居民供暖煤改电、远郊区炊事用气改造等措施,以减少煤炭的使用量. 采用自下而上的排放因子法,估算减少燃煤所产生大气污染物(TSP、PM₁₀、一次PM_2.5、SO₂、NO_x及VOC)的减排量,并利用ADMS-Urban模型模拟其对环境空气质量的改善. 结果表明:①2015年北京市煤炭控制在1500×104t以内,测算的煤炭减量为863.38×104t,TSP、PM₁₀、一次PM_2.5、SO₂、NO_x和VOC的减排量分别为2580.17、2032.94、1183.53、6265.30、7220.90和1058.44t. ②各污染物减排空间分布基本一致,主要集中在城市功能拓展区,包括石景山、朝阳区、海淀区和丰台区等,上述区域对TSP、PM₁₀、一次PM_2.5、SO₂、NO_x和VOC削减贡献分别达到78.3%、81.5%、82.7%、85.2%、83.0%和49.9%. ③ADMS-Urban模型模拟结果表明,减少燃煤可使环境空气中ρ(TSP)、ρ(PM₁₀)、ρ(一次PM_2.5)、ρ(SO₂)、ρ(NO_x)和ρ(VOC)分别降低0.55~12.74、0.44~10.78、0.27~6.77、0.78~17.31、1.67~43.48和0.17~12.07μg/m3.      

Flow and Pollutant Dispersion in Street Canyons using FLUENT and ADMS-Urban

This paper is devoted to the study of flow within a small building arrangement and pollutant dispersion in street canyons starting from the simplest case of dispersion from a simple traffic source. Flow results from the commercial computational fluid dynamics (CFD) code FLUENT are validated against wind tunnel data (CEDVAL). Dispersion results from FLUENT are analysed using the well-validated atmos pheric dispersion model ADMS-Urban. The k − ε turbulence model and the advection-diffusion (AD) method are used for the CFD simulations. Sensitivity of dispersion results to wind direction within street canyons of aspect ratio equal to 1 is investigated. The analysis shows that the CFD model well reproduces the wind tunnel flow measurements and compares adequately with ADMS-Urban dispersion predictions for a simple traffic source by using a slightly modified k − ε model. It is found that a Schmidt number of 0.4 is the most appropriate number for the simulation of a simple traffic source and in street canyons except for the case when the wind direction is perpendicular to the street canyon axis. For this last case a Schmidt number equal to 0.04 gives the best agreement with ADMS-Urban. Overall the modified k − ε turbulence model may be accurate for the simulation of pollutant dispersion in street canyons provided that an appropriate choice for coefficients in the turbulence model and the Schmidt number in the diffusion model are made.     

Using ADMS models for Air Quality Assessment and Management in China

1 INTRODUCTION Many cities and regions are undertaking studies of air quality in cities to determine both the current state of the environment and the effect of future economic and environmental strategies in order to manage local air quality. Often these studies are driven by legislation such as the European Union requirement to model agglomerations or the Chinese requirements to study air quality capacity and to forecast air quality. ADMS-Urban is the most widely used advanced dispers…     

Seize the Opportunity and Meet the Challenge to Push China's Sustainable Development Strategy to a New Stage

Abstract

ADMS-Urban is the most widely used advanced dispersion model for urban areas, being used extensively in China and worldwide, providing a practical tool for assessing and managing urban air quality. In this paper we briefly describe the ADMS dispersion models and give an overview of their use in China. And it describes in more detail the use of ADMS-Urban in Fushun in Liaoning province and in Jinan in Shangdong province respectively, for studies of urban air quality. Finally the conclusions are presented.     

利用ADMS—大气扩散模型模拟阜新SO2减排

利用ADMS—城市模型,结合地理信息系统,分析了阜新市的大气污染状况,并模拟了露天矿停止开采后阜新市SO2浓度的变化。