首钢烧结厂PM10治理技术与经济分析

通过对首钢烧结厂的污染结点、污染物特性、污染物控制技术措施和技术规范进行分析,提出了烧结厂PM10控制方案,对烧结厂采用高效除尘设备的PM10削减量及改造费用进行了估算,确定了烧结厂PM10治理技术方案排序,为钢铁企业烧结厂治理颗粒污染物的同时选择最为经济实用的除尘器类型提供理论依据。     

首钢烧结厂PM_(10)治理技术与经济分析

通过对首钢烧结厂的污染结点、污染物特性、污染物控制技术措施和技术规范进行分析,提出了烧结厂PM10控制方案,对烧结厂采用高效除尘设备的PM10削减量及改造费用进行了估算,确定了烧结厂PM10治理技术方案排序,为钢铁企业烧结厂治理颗粒污染物的同时选择最为经济实用的除尘器类型提供理论依据.     

区域大气环境中PM2.5/PM10空间分布研究

提出了一种利用移动监测技术研究区域大气环境中PM_2.5/PM₁₀空间分布的方法，并在2004年12月进行了宁波市全市域PM_2.5/PM₁₀空间分布的研究。数据显示：相同路径所代表的地区PM_2.5和PM₁₀具有很好的相关性，多数路径上PM_2.5与PM₁₀数据的相关系数平方在0.95以上，而不同路径上PM_2.5与PM₁₀的比值不同。文中给出了宁波市PM_2.5/PM₁₀污染的空间分布图，直观地显示出PM_2.5/PM₁₀污染的空间分布情况，突出了污染的重点点位和地区。     

河北廊坊地区大气污染物变化特征与来源追踪

为了解河北省廊坊地区大气污染水平、变化特征以及污染物来源，2009年7月—2010年6月对该地区大气中NO、NO_x（NO_x=NO+NO₂）、O₃、SO₂和PM₁₀进行了连续在线观测，并用统计方法和后向轨迹模拟对所获数据进行分析。结果表明，一次污染物NO、NO_x、SO₂和PM₁₀浓度具有相似的季变化和日变化，冬季浓度最高，季节日均值分别为（57±53）、（127±84）、（69±340）和（181±129）μg/m³；二次污染物O₃夏季浓度最高，日小时均值最高值季节日平均为（99±39）μg/m³。一次污染物浓度日变化呈早晚双峰型，冬季，变化幅度最大；二次污染物日变化为单峰型，最大值出现在夏季午后。夏季受东南气流影响，往往造成该地区O₃超标；冬季，廊坊和天津污染具有较高一致性，出现区域性大气复合污染。廊坊地区大气污染除受本地排放影响，还受到周边地区污染物输送的影响，其在京津两大城市间对大气污染的缓冲作用也不可小觑。     

羽毛角蛋白海绵膜去除气溶胶简

通过添加一定含量增塑剂和冷冻干燥，将羽毛还原法产生的较少被利用的残渣制备成致密多孔具有一定柔韧性的角蛋白膜，不需预处理和交联剂，得率高。甘油添加量对膜的结构影响进行研究后表明，甘油含量5%时机械性能最佳，断裂强度为6.2 MPa，完整性和柔韧性最好，孔隙率最大，兼顾了较好的透气性和对气溶胶的较高去除率。该膜在18℃ 空气流速1 m/s下对大气气溶胶中PM₁₀去除率98%、PM_2.5去除率 39.28% 、PM_1.0去除率 32.97%，在制备口罩材料上具有一定应用潜力。     

纳米SiO2对微污染物HA、SDS及NH3-N的助凝特性研究

以聚合氯化铝PAC为混凝剂，纳米SiO₂为助凝剂，对含有下列微污染物：十二烷基硫酸钠（SDS）、氨氮（NH₃-N）或腐植酸（HA）的高岭土悬浊液进行混凝沉降实验。借助形态学理论、电镜观察与图像分析技术，研究纳米SiO₂对微污染物的助凝作用效果、吸附特性与絮体结构的形态学特征。结果表明：（1）在含有HA、SDS、NH₃-N的模拟原水中，污染物去除率与浊度去除率的相关性随污染物分子量的增大而增强；（2）纳米SiO     

底泥修复对城市污染河道水体污染修复的影响研究

为开发城市黑臭河道的有效治理方法，利用人工模拟河道就河道底泥对上覆水体的二次污染、底泥污染生物修复对其氮磷营养盐释放及河道水体污染生物修复的影响进行了研究，并对实验结果进行了工程现场应证。研究结果表明：河道污染底泥生物修复状况对上覆水体水质产生大的影响，在底泥不加修复时，底泥污染物释放使水体COD、TP、NH₃-N浓度分别达到30～35 mg/L、0.4～0.5 mg/L和3.0 mg/L，底泥修复后分别为15～20 mg/L、0.1 mg/L和2.5 mg/L；底泥G值（y）与底泥氮、磷污染物释放量（x）呈负相关关系，关系式分别为：y=0.5124x-0.1394（R₂=0.9222），y=0.17772x-0.4781（R₂=0.8701）；结合底泥的生物修复，采用曝气增氧投加生物制剂措施对水体进行生物修复时COD、NH₃-N和PO^3-₄的去除率分别提高13.6%、25.0%和15.7%；对古廖涌的现场治理工程表明，在未对河道底泥进行生物修复的情况下，经过氧化塘预处理河道水体增氧-水体原位强化生物修复等措施的治理，河道中、下游水体又逐渐恢复黑臭，在对河道底泥进行修复后，河道污染水体水质得到显著的改善和提高。     

西安市及周边地区MODIS气溶胶光学厚度与PM10浓度关系模型研究简

西安是空气污染监控和防治有代表性的西部大型城市。研究了西安市及周边地区上空气溶胶光学厚度与PM₁₀浓度的关系模型。利用2011—2012年MODIS卫星气溶胶光学厚度（AOD）遥感产品，通过数据匹配，利用地面气象观测站点的能见度数据和相对湿度数据对AOD产品进行垂直标高订正和湿度订正，2项订正显著提高了AOD和地面PM₁₀浓度的相关性，相关系数从0.36提高到0.65，按季节分类统计和订正春至冬四季的相关系数分别为0.57、0.71、0.62和0.87，夏季和冬季的订正更为有效，可用性更高，这可能由于受到不同季节气溶胶来源和特征的影响。为研究中国西部大型城市，特别是西安市空气环境监测和区域联防联控提供了一种有效方法。     

水泥旋窑并行处理城市污水厂污泥的污染物排放研究

通过重庆某水泥厂的工业试验，测定了水泥旋窑并行处理城市污水厂污泥的烟气参数及污染物排放指标，分析了并行处理污泥对旋窑烟气的影响程度及各项指标之间的相关性。结果表明：①在污泥添加速率增大时，烟气流速、排气量、含氧量、空气过剩系数、HF和SO₂等排放浓度均随之增加，粉尘、NO_x排放浓度基本保持不变，HCl排放浓度下降，CO排放浓度先剧增后缓慢下降，而总烃排放浓度无明显规律；②污泥添加速率与SO₂排放浓度、烟气流速与排气量、含氧量与空气过剩系数、总烃浓度与SO₂排放浓度、烟气流速与总烃浓度呈显著正相关，污泥添加速率与HCl浓度、SO₂浓度与HCl浓度、NO_x与总烃浓度呈显著负相关；③烟气排放的污染物主要来自煤的燃烧，各指标之间的相关性主要表现为煤耗量增加而引起的连锁效应，但污泥本身在高温条件下燃烧产生的污染物较少，由污泥燃烧产生的污染物之间的相关性较小；④污泥添加速率达到2.4 t/h时，水泥旋窑并行处理城市污水处理厂污泥过程中所有指标均满足国家及相应的控制标准，但其参数优化及污染物控制极为复杂，该方法处理污泥需要进行深入研究才能在工业上应用。     

Keggin型Fe-Mo-Zr杂多酸盐光催化剂的制备及性能研究

利用水热合成法制备了Keggin结构的Fe-Mo-Zr杂多酸盐光催化剂，并利用红外光谱（IR）对催化剂进行了表征。实验以酸性大红（GR）为模拟污染物，考察了在紫外灯照射下，Fe-Mo-Zr杂多酸盐的投加量、污染物的浓度和pH值以及外加H₂O₂对光催化降解效果的影响。实验结果表明，当催化剂的投加量为0.6 g/L，pH为5～7，初始浓度为10 mg/L的GR染料溶液，光照160 min，脱色率可达87.98%。外加H₂O₂可以提高光催化反应效率。     

Monitoring and Source Apportionment of Particulate Matter near a Large Phosphorus Production Facility

ABSTRACT

A source apportionment study was conducted to identify sources within a large elemental phosphorus plant that contribute to exceedances of the National Ambient Air Quality Standards (NAAQS) for 24-hr PM₁₀. Ambient data were collected at three monitoring sites from October 1996 through July 1999, and included the following: 24-hr PM₁₀ mass, 24-hr PM_2.5 and PM_10–2.5 mass and chemistry, continuous PM₁₀and PM_2.5 mass, continuous meteorological data, and wind-direction-resolved PM_2.5 and PM₁₀ mass and chemistry. Ambient-based receptor modeling and wind-directional analysis were employed to help identify major sources or source locations and source contributions. Fine-fraction phosphate was the dominant species observed during PM₁₀ exceedances, though in general, re-suspended coarse dusts from raw and processed materials at the plant were also needed to create an exceedance. Major sources that were identified included the calciners, the CO flares, process-related dust, and electric-arc furnace operations.     

Airborne particle PM2.5/PM10 mass distribution and particle-bound PAH concentrations near a medical waste incinerator

This study attempts to determine the influence of air quality in a residential area near a medical waste incineration plant. Ambient air concentrations of polycyclic aromatic hydrocarbons (PAHs), PM₁₀ and PM_2.5 (PM—particulate matter) were determined by collecting air samples in areas both upwind and downwind of the plant. The differences in air pollutant levels between the study area and a reference area 11 km away from the plant were evaluated.Dichotomous samplers were used for sampling PM_2.5 and PM₁₀ from ambient air. Two hundred and twenty samples were obtained from the study area, and 100 samples were taken from a reference area. Samples were weighed by an electronic microbalance and concentrations of PM_2.5 and PM₁₀ were determined. A HPLC equipped with a fluorescence detector was employed to analyze the concentrations of 15 PAHs compounds adsorbed into PM_2.5 and PM₁₀.The experimental results indicated that the average concentrations of PM_2.5 and PM₁₀ were 30.34±17.95 and 36.81±20.45 μg m⁻³, respectively, in the study area, while the average ratio of PM_2.5/PM₁₀ was 0.82±0.01. The concentrations of PM_2.5 and PM₁₀ of the study area located downwind of the incinerator were significantly higher than the study area upwind of the incinerator (P<0.05).The concentration of PAHs in PM_2.5 in the study area was 2.2 times higher than in the reference area (P<0.05). Furthermore, the benzo(a)pyrene concentrations in PM_2.5 and PM₁₀ were 0.11±0.05 ng m⁻³ and 0.12±0.06 ng m⁻³ in the study area, respectively. The benzo(a)pyrene concentrations of PM_2.5 and PM₁₀ in the study area were 7 and 5.3 times higher than in the reference area (P<0.05), respectively.The study indicated that the air quality of PM_2.5, PM₁₀ and PAHs had significant contamination by air pollutants emitted from a medical waste incineration factory, representing a public health problem for nearby residences, despite the factory being equipped with a modern air pollution control system.     

Influence of sulfur dioxide-related interactions on PM2.5 formation in iron ore sintering

The formation of PM_2.5 (aerosol particulate matter less than 2.5 µm in aerodynamic diameter) in association with SO₂ emission during sintering process has been studied by dividing the whole sintering process into six typical sampling stages. A low-pressure cascade impactor was used to collect PM_2.5 by automatically segregating particulates into six sizes. It was found that strong correlation existed between the emission properties of PM_2.5 and SO₂. Wet mixture layer (overwetted layer and raw mixture layer) had the function to simultaneously capture SO₂ and PM_2.5 during the early sintering stages, and released them back into flue gas mainly in the flue gas temperature-rising period. CaSO₄ crystals constituted the main SO₂-related PM_2.5 during the disappearing process of overwetted layer, which was able to form perfect individual crystals or to form particles with complex chemical compositions. Besides the existence of individual CaSO₄ crystals, mixed crystals of K₂SO₄-CaSO₄ in PM_2.5 were also found during the first half of the temperature-rising period of flue gas. The interaction between fine-grained Ca-based fluxes, potassium vapors, and SO₂ was the potential source of SO₂-related PM_2.5.

Implications: The emission property of PM_2.5 and SO₂ throughout the sintering process exhibited well similarity. This phenomenon tightened the relationship between the formation of PM_2.5 and the emission of SO₂. Through revealing the properties of SO₂-related PM_2.5 during sintering process, the potential interaction between fine-grained Ca-based fluxes, potassium vapors, and SO₂ was found to be the source of SO₂-related PM_2.5. This information can serve as the guidance to develop efficient techniques to control the formation and emission of PM_2.5 in practical sintering plants.     

A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment

A highly resolved temporal and spatial Pearl River Delta (PRD) regional emission inventory for the year 2006 was developed with the use of best available domestic emission factors and activity data. The inventory covers major emission sources in the region and a bottom–up approach was adopted to compile the inventory for those sources where possible. The results show that the estimates for SO₂, NO_x, CO, PM₁₀, PM_2.5 and VOC emissions in the PRD region for the year 2006 are 711.4 kt, 891.9 kt, 3840.6 kt, 418.4 kt, 204.6 kt, and 1180.1 kt, respectively. About 91.4% of SO₂ emissions were from power plant and industrial sources, and 87.2% of NO_x emissions were from power plant and mobile sources. The industrial, mobile and power plant sources are major contributors to PM₁₀ and PM_2.5 emissions, accounting for 97.7% of the total PM₁₀ and 97.2% of PM_2.5 emissions, respectively. Mobile, biogenic and VOC product-related sources are responsible for 90.5% of the total VOC emissions. The emissions are spatially allocated onto grid cells with a resolution of 3 km × 3 km, showing that anthropogenic air pollutant emissions are mainly distributed over PRD central-southern city cluster areas. The preliminary temporal profiles were established for the power plant, industrial and on-road mobile sources. There is relatively low uncertainty in SO₂ emission estimates with a range of −16% to +21% from power plant sources, medium to high uncertainty for the NO_x emissions, and high uncertainties in the VOC, PM_2.5, PM₁₀ and CO emissions.     

Numerical study on adjusting and controlling effect of forest cover on PM10 and O3

A new-coupled air quality numerical modeling system has been developed and applied to the study on the adjusting and controlling effect of forest cover on air quality. The modeling system is composed of Plant Canopy Layer Model (PCLM), Urban Scale Meteorological Model (USMM), and High-Resolution Chemical Model (HRCM). The system was applied to the study on the ecological adjusting and controlling effects on PM₁₀ and O₃ in Jinan City, China. The results show that the forest cover can adjust and control PM₁₀ and O₃ significantly by reducing the concentrations of PM₁₀ while increasing the concentrations of O₃ with the increase of forest cover.     

Coarse Particulate Matter Apportionment around a Steel Smelter Plant

Abstract

The results from a study carried out in the urban area of Genoa, Italy, where a large steel smelter recently shut down are presented. We had the opportunity to sample particulate matter (PM) before and after plant closure and, therefore, to measure the changes in concentration and composition of PM₁₀ (atmospheric PM with aerodynamic diameter <10 µm). Elemental concentrations of Na to Pb were obtained through energy dispersive X-ray fluorescence (ED-XRF), and the contributions of specific sources of PM₁₀ were calculated by positive matrix factorization (PMF). The PM₁₀ average concentration turned out to be surprisingly similar before and after closing of the smelter. Nevertheless, the comparison among data collected in the two periods (plant operating and closed), even with the limited information provided by ED-XRF, allowed us to single out two sources of PM related to the smelter activities, to extract their emission profile, and to quantify the impact of the plant on PM₁₀ levels.     

Patterns and Concentrations of PM10 in a Mountainous Basin Region

ABSTRACT

In this study, continuous data of PM₁₀ (particles with aerodynamic diameter <10 u,m) concentration measurements for a 4-yr period were analyzed. These measurements have been carried out in the Eordea Basin, an industrial area in the northwestern mountainous region of Greece. The annual, monthly, and diurnal patterns are presented and investigated regarding the prevailing meteorological conditions and atmospheric processes that affect the ambient concentrations of PM₁₀. The effect of wind on controlling PM₁₀ concentration is also discussed. Based on the data analysis, an attempt is made to provide useful information about air quality levels, taking into account U.S. Environmental Protection Agency air quality standards.     

Acute effect of daily fine particulate matter pollution on cerebrovascular mortality in Shanghai,China: a population-based time series study

Numerous studies have investigated the impacts of ambient fine particulate matter (PM_2.5) on human health. In this study, we examined the association of daily PM_2.5 concentrations with the number of deaths for the cerebrovascular disease on the same day, using the generalized additive model (GAM) controlling for temporal trend and meteorological variables. We used the data between 2012 and 2014 from Shanghai, China, where the adverse health effects of PM_2.5 have been of particular concern. Three different approaches (principal component analysis, shrinkage smoothers, and the least absolute shrinkage and selection operator regularization) were used in GAM to handle multicollinear meteorological variables. Our results indicate that the average daily concentration of PM_2.5 in Shanghai was high, 55 μg/m³, with an average daily death for cerebrovascular disease (CVD) of 62. There was 1.7% raised cerebrovascular disease deaths per 10 μg/m³ increase in PM_2.5 concentration in the unadjusted model. However, PM_2.5 concentration was no longer associated with CVD deaths after controlling for meteorological variables. The results were consistent in the three modelling techniques that we used. As a large number of people are exposed to air pollution, further investigation with longer time period including individual-level information is needed to examine the association.