Examination of model predictions at different horizontal grid resolutions

While fluctuations in meteorological and air quality variables occur on a continuum of spatial scales, the horizontal grid spacing of coupled meteorological and photochemical models sets a lower limit on the spatial scales that they can resolve. However, both computational costs and data requirements increase significantly with increasing grid resolution. Therefore, it is important to examine, for any given application, whether the expected benefit of increased grid resolution justifies the extra costs. In this study, we examine temperature and ozone observations and model predictions for three high ozone episodes that occurred over the northeastern United States during the summer of 1995. In the first set of simulations, the meteorological model RAMS4a was run with three two-way nested grids of 108/36/12 km grid spacing covering the United States and the photochemical model UAM-V was run with two grids of 36/12 km grid spacing covering the eastern United States. In the second set of simulations, RAMS4a was run with four two-way nested grids of 108/36/12/4 km grid spacing and UAM-V was run with three grids of 36/12/4 km grid spacing with the finest resolution covering the northeastern United States. Our analysis focuses on the comparison of model predictions for the finest grid domain of the simulations, namely, the region overlapping the 12 km and 4 km domains. A comparison of 12 km versus 4 km fields shows that the increased grid resolution leads to finer texture in the model predictions; however, comparisons of model predictions with observations do not reveal the expected improvement in the predictions. While high-resolution modeling has scientific merit and potential uses, the currently available monitoring networks, in conjunction with the scarceness of highly resolved spatial input data and the limitations of model formulation, do not allow confirmation of the expected superiority of the high-resolution model predictions.The U.S. Governments right to retain a non-exclusive royalty-free licence in and to any copyright is acknowledged.     

Estimating emissions from crop residue open burning in China based on statistics and MODIS fire products

With the objective of reducing the large uncertainties in the estimations of emissions from crop residue open burning, an improved method for establishing emission inventories of crop residue open burning at a high spatial resolution of 0.25°× 0.25° and a temporal resolution of1 month was established based on the moderate resolution imaging spectroradiometer(MODIS) Thermal Anomalies/Fire Daily Level3 Global Product(MOD/MYD14A1). Agriculture mechanization ratios and regional crop-specific grain-to-straw ratios were introduced to improve the accuracy of related activity data. Locally observed emission factors were used to calculate the primary pollutant emissions. MODIS satellite data were modified by combining them with county-level agricultural statistical data, which reduced the influence of missing fire counts caused by their small size and cloud cover. The annual emissions of CO_2, CO, CH_4,nonmethane volatile organic compounds(NMVOCs), N_2O, NO_x, NH_3, SO_2, fine particles(PM2.5),organic carbon(OC), and black carbon(BC) were 150.40, 6.70, 0.51, 0.88, 0.01, 0.13, 0.07, 0.43,1.09, 0.34, and 0.06 Tg, respectively, in 2012. Crop residue open burning emissions displayed typical seasonal and spatial variation. The highest emission regions were the Yellow-Huai River and Yangtse-Huai River areas, and the monthly emissions were highest in June(37%).Uncertainties in the emission estimates, measured as 95% confidence intervals, range from a low of within ±126% for N_2O to a high of within ± 169% for NH_3.     

震害预测中建筑物属性信息提取方法研究

在编制城市抗震防灾规划工作中,如何得到规划区大量的建筑物的普查资料一直是一个重要的课题。就此,本文提出了一种基于RS技术通过首先旋转高分辨率遥感图像而后搜寻建筑物阴影区有效分割线段来实现大范围建筑物层数信息提取的新方法,并结合高分辨率遥感影像数据和实际建筑物层数信息对提取结果进行分析。结果表明计算模型正确,普适性较强,算法过程简单,所得结果精度满足城市震害预测基础信息的要求,有较大实用价值。     

流域污染负荷水质响应的时空数值源解析方法研究

以目前广泛应用的环境流体动力学模型EFDC为平台,构建时空数值源解析方法,理论上可以得到任意时刻任意空间点位污染物的来源构成.其原理是考虑水质模型的微分方程,直接对每个污染负荷再微分,从而将原来1个微分方程变为关于每个污染源的微分方程组,然后联立以EFDC的水动力模型求解,得到每个源对每个时空点的贡献.概化的抚仙湖模型作为数值案例用以验证方法.时空数值源解析的结果与传统扰动方法的结果几乎重合,验证了时空数值源解析方法的正确性.另一方面,数值案例中存在34个独立的污染源,扰动法则需要35次模拟,而时空数值源解析方法的结果通过单次模拟就可得到,说明时空数值源解析方法具有明显的计算效率优势.而通过对结果的进一步分析可以发现,时空数值源解析方法可以提供更精确的源贡献的动态描述.     

京津冀地区钢铁行业高时空分辨率排放清单方法研究

针对目前京津冀地区钢铁行业大气污染物排放量基数不清,排放清单缺失的现状,以钢铁行业调研、企业在线监测、污染源调查等数据为基础,综合考虑钢铁行业具体工艺设备、环保措施、产能等信息,按照自下而上的方法建立了一套高时空分辨率排放清单.经计算,2012年京津冀地区钢铁企业排放SO2为47.16万t,NOx为37.22万t,烟粉尘为34.15万t,其中烧结和高炉工艺为京津冀钢铁行业污染物的主要来源;从空间分布来看,唐山、邯郸两地区集中了整个京津冀地区一半以上的钢铁企业,其污染物排放量占到了整个区域钢铁企业排放总量的一半以上.     

A building-based data capture and data mining technique for air quality assessment

Recently, a building-based air quality model system which can predict air quality in front of individual buildings along both sides of a road has been developed. Using the Macau Peninsula as a case study, this paper shows the advantages of building-based model system in data capture and data mining. Compared with the traditional grid-based model systems with input/output spatial resolutions of 1–2 km, the building-based approach can extract the street configuration and traffic data building by building and therefore, can capture the complex spatial variation of traffic emission, urban geometry, and air pollution. The non-homogeneous distribution of air pollution in the Macau Peninsula was modeled in a high-spatial resolution of 319 receptors·km^-2. The spatial relationship among air quality, traffic flow, and urban geometry in the historic urban area is investigated. The study shows that the building-based approach may open an innovative methodology in data mining of urban spatial data for environmental assessment. The results are particularly useful to urban planners when they need to consider the influences of urban form on street environment.     

荧光素酶报告基因法测定废气中二英类物质

研究二噁英类生物检测法的主要目的是简化二噁英类分析流程,并找出快速检测的结果与HRGC-HRMS(高分辨气相色谱-高分辨质谱)结果之间的换算系数,从而可以利用快速检测的结果和换算系数来推算HRGC-HRMS的结果. 介绍了CALUX(荧光素酶报告基因法)分析废气中二噁英类物质的原理,并采用该方法分析了我国27个废气样品,以期找出其测定结果与HRGC-HRMS结果之间的换算系数. 结果表明,这2种测试方法数据相关性显著,R2为0.994 8,数据间的换算系数为0.379. 试验表明,CALUX法具有很好的推广性,如果再适当增加废气样品的数量,对换算系数进行适当的优化,则所得换算系数可推广.      

东北区域空气质量时空分布特征及重度污染成因分析

东北已成为我国又一个霾污染多发和重发区域.采用2013～2017年东北区域大气污染物地面监测数据、卫星数据和气象数据等信息,探讨了中国东北地区空气质量时空分布特征与重度污染成因.结果表明,"沈阳-长春-哈尔滨"带状城市群是全年污染最严重的区域,空气质量指数(AQI)的空间分布具有明显的季节性,冬季污染最严重,春季吉林省西部周围为椭圆形污染区,夏季和秋季大部分时间空气质量最佳.3个典型的霾污染时期是10月下旬和11月上旬(即秋末和初冬,时期一),12月下旬和1月(即冬季最冷的时候,时期二),及4月到5月中旬(即春季沙尘和农业耕作期).时期一,季节性作物残茬焚烧和冬季采暖用煤燃烧产生的PM_(2.5)强排放是极端霾事件发生的主要原因(AQI 300);时期二,在最严寒月份里,重度霾污染事件(200 AQI 300),主要由燃煤和汽车燃料消耗的PM_(2.5)排放量高,大气边界层较低,以及大气扩散性差等共同引起;时期三,春季PM_(10)浓度较高,主要是由内蒙古中部退化草原的风沙和吉林省西部裸地的区域性扬尘传输造成的.同时,当地农业耕作本身也释放PM_(10),并提升了裸土的人为源矿物尘的排放强度.     

基于高空间分辨网格的郑州市城镇居民PM2.5暴露浓度与健康风险变化评估

近年来,我国以PM_2.5为特征污染物的复合型大气污染问题依然严峻,居民长期暴露在PM_2.5环境中会造成健康损伤,可以增加特定疾病过早死亡.郑州市PM_2.5浓度年均值远高于国家Ⅱ级标准,对居民健康造成了极为不利的影响.基于网络数据爬取建立的高空间分辨率人口密度网格,依据室外浓度监测数据和城镇居民源排放量,评估了包括室内和室外暴露的郑州市城镇居民的PM_2.5暴露水平,并采用综合暴露-反应模型量化了相应的健康风险,最后评估了不同削减措施与空气质量标准对降低城镇居民PM_2.5暴露浓度的贡献.结果表明,2017年和2019年郑州市城镇居民的时间加权PM_2.5暴露浓度年均值分别为74.06μg·m^-3和60.64μg·m^-3,下降了18.12%.其中室内暴露浓度占时间加权暴露浓度的质量分数分别为83.58%和83.01%,对时间加权暴露浓度下降的贡献率为84.06%. 2017年和2019年郑州市与PM_2.5