FREQUENCY OF DRY DAY SEQUENCES1

ABSTRACT: Data from 100 stations were used to prepare a generalized characterization of the extremely long dry day sequences in the United States. Maps are presented showing the magnitude of the two-year, dry day sequences for 1 mm threshold and the coefficient of variation of the items used in the extreme value analysis. For the United States, the average coefficient of variation for dry periods is 30 percent as compared with that for maximum 24h rainfalls which is 37 percent. An example is presented for computing the longer return periods.     

Chemical characterization of size-resolved aerosols in four seasons and hazy days in the megacity Beijing of China

Size-resolved aerosol samples were collected by MOUDI in four seasons in 2007 in Beijing. The PM₁₀ and PM_1.8 mass concentrations were 166.0 ± 120.5 and 91.6 ± 69.7 μg/m³, respectively, throughout the measurement, with seasonal variation: nearly two times higher in autumn than in summer and spring. Serious fine particle pollution occurred in winter with the PM_1.8/PM₁₀ ratio of 0.63, which was higher than other seasons. The size distribution of PM showed obvious seasonal and diurnal variation, with a smaller fine mode peak in spring and in the daytime. OM (organic matter = 1.6 × OC (organic carbon)) and SIA (secondary inorganic aerosol) were major components of fine particles, while OM, SIA and Ca^2 + were major components in coarse particles. Moreover, secondary components, mainly SOA (secondary organic aerosol) and SIA, accounted for 46%–96% of each size bin in fine particles, which meant that secondary pollution existed all year. Sulfates and nitrates, primarily in the form of (NH₄)₂SO₄, NH₄NO₃, CaSO₄, Na₂SO₄ and K₂SO₄, calculated by the model ISORROPIA II, were major components of the solid phase in fine particles. The PM concentration and size distribution were similar in the four seasons on non-haze days, while large differences occurred on haze days, which indicated seasonal variation of PM concentration and size distribution were dominated by haze days. The SIA concentrations and fractions of nearly all size bins were higher on haze days than on non-haze days, which was attributed to heterogeneous aqueous reactions on haze days in the four seasons.     

Seasonal variations and size distributions of water-soluble ions in atmospheric aerosols in Beijing, 2012

The characteristics of water-soluble ions in airborne particulate matter in Beijing were investigated using ion chromatography. The results showed that the total concentrations of ions were 83.7 ± 48.9 μg/m³ in spring, 54.0 ± 17.0 μg/m³ in summer, 54.1 ± 42.9 μg/m³ in autumn, and 88.8 ± 47.7 μg/m³ in winter, respectively. Furthermore, out of all the ions, NO₃⁻, SO₄^2 − and NH₄⁺ accounted for 81.2% in spring, 78.5% in summer, 74.6% in autumn, and 76.3% in winter. Mg^2 + and Ca^2 + were mainly associated with coarse particles, with a peak that ranged from 5.8 to 9.0 μm. Na⁺, NH₄⁺ and Cl⁻ had a multi-mode distribution with peaks that ranged from 0.43 to 1.1 μm and 4.7 to 9.0 μm. K⁺, NO₃⁻, and SO₄^2 − were mainly associated with fine particles, with a peak that ranged from 0.65 to 2.1 μm. The concentrations of Na⁺, K⁺, Mg^2 +, Ca^2 +, NH₄⁺, Cl⁻, NO₃⁻ and SO₄^2 − were 2.69, 2.32, 1.01, 4.84, 16.9, 11.8, 42.0, and 44.1 μg/m³ in particulate matter (PM) on foggy days, respectively, which were 1.4 to 7.3 times higher than those on clear days. The concentrations of these ions were 2.40, 1.66, 0.92, 4.95, 17.5, 7.00, 32.6, and 34.7 μg/m³ in PM on hazy days, respectively, which were 1.2–5.7 times higher than those on clear days.     

济南市秋末冬初大气颗粒物和气体污染物污染水平及来源

2009年11月23日─12月7日在济南市区对PM2.5、BC(黑碳)和污染物(SO2、NOx、NO、NO2和CO)进行实时监测与分析.观测期间ρ(PM2.5)、φ(SO2)和φ(NOx)分别为171μg/m3、54.3×10-9和107×10-9.其中,φ(SO2)与GB 3095─1996《环境空气质量标准》日标准值相当,φ(NOx)是标准的2.2倍,ρ(PM2.5)是美国环境空气质量标准(35μg/m3)的4.89倍.污染事件期间ρ(PM2.5)、φ(SO2)和φ(NOx)分别达到222μg/m3、74.4×10-9和158×10-9,是非污染期间的1.78、1.67和1.77倍.观测期间SO2主要来源于燃煤排放.在11月25─26日的污染事件中,NOx、BC和PM2.5主要来源于机动车尾气排放,除局地源外,东北风经过济南东北部工业区时也将污染物传输到采样点;而在12月1─2日的污染事件中,以静风为主,污染物积聚,NOx和BC主要来源于机动车尾气排放,PM2.5除了一次污染物,很可能包含一定比例的二次污染物.在非污染事件中,NOx和BC主要来源于机动车尾气排放,部分NOx很可能来源于燃煤排放,而PM2.5主要来源于一次源排放.     

工程项目大气环境影响评价中污染物浓度叠加方法研究

本文对工程项目大气环境影响评价中污染物浓度叠加方法进行了研究。在叠加方法研究中,提出用判别指数判别筛选叠加方法。通过叠加方法筛选,选取了瞬时浓度,日均浓度叠加方法。经实例验证,证明方法是合理可行的,适用于大气污染物浓度叠加计算。     

空气质量日报、预报管理信息系统开发浅谈

结合乌鲁木齐市开展空气质量日报，预报以来的一些经验，对空气质量日报管理信息系统作一介绍，并对关键部分提出了具体的实施方案。     

大气环境影响评价中典型气象日的确定及其应用

对某地区多年气象资料进行统计和分析,给出大气环境影响评价中典型气象日的确定方法。结合高架点源影响浓度的实例计算,可以方便地得到典型气象日条件下大气污染物的日平均浓度分布情况,能够更为真实地反映该地区的实际气象条件对大气污染物分布浓度的影响情况。     

超大城市昼夜交通事故严重程度致因对比分析——以深圳市为例

为研究夜间交通事故严重程度致因，基于深圳市3年3 244起交通事故数据，获取昼夜交通事故分布的时空特征；进一步选取交通事故集聚的南山区、福田区、罗湖区的1 798起交通事故，以交通事故严重程度为因变量，以事故原因、日期、事故形态等10个因素为候选自变量，构建广义有序Logit回归模型，对比分析昼夜不同严重程度交通事故的影响因素。结果表明:路口路段类型、疲劳驾驶、事故日期在夜间模型参数估计值分别为0.493，-0.363，-0.309，而在日间模型表现为不显著，道路路面材料在日间模型参数估计值为-0.232，而在夜间表现为不显著；事故原因、道路横断面渠化方式等因素在日间和夜间所引起交通事故的严重等级均存在较大差异。     

Low energy buildings in Taiwan mountain areas: A weather data analysis

The energy consumption of buildings is influenced by the climates tremendously. Taiwan is an island covered with high mountains. Crossed by the tropic of cancer, the basic climates zones include tropical and subtropical climates. In this research, the degree day and degree hour methods were used to analyze 37 weather stations data in mid and high elevation regions of Taiwan collected over 10 years. The WRF model were used to predict summer cooling hours using 26, 28, 30°C as the base temperatures. The research showed that Taiwan has complicated climate zones due to the variations of the elevation. The low air-conditioning load areas in the mid and high elevation regions will be the most suitable areas to design low energy consumption buildings in Taiwan.     

1980~2012年江苏省城市霾日的时空分布及成因分析

利用1980~2012年江苏省气象观测资料,对江苏省城市霾时空分布及成因进行了分析.结果表明,1980~2012年江苏省霾日增加,重度和中度霾增加显著,苏北和沿海城市霾日增加显著.秋季和冬季霾日最多,夏季最少.秋、冬季霾主要在内陆,沿海略少.除苏南三城市,6月其他城市霾日都比较多.80年代霾日较为均匀,90年代苏南、苏西南增加,2000年代江淮之间和苏北增加,2010~2012年苏北霾日增加显著,苏南地区霾日略有减少.全省连续性霾日、区域性霾日及连续性区域霾都呈增加趋势.城市建成区面积逐年扩大、由工业及汽车尾气排放的污染物逐年增加,导致区域气温升高、空气相对湿度下降,形成城市热岛和干岛效应,加上污染物的增多,增强了霾形成和维持的条件,持续性霾、区域性霾和持续性区域霾也增加较为显著.