Asian dust storms invaded Taiwan in springtime. During the Asian dust-storm periods, the dust particles suspended in the atmosphere could not only deteriorate the ambient air quality, mainly high particulate matter concentration and low visibility, but also cause severely adverse effects on human health. In this study, Asian dusts were sampled at Pencadores Islands and characterized the physical and chemical characteristics to investigate the influence of Asian dust storms. Due to its clean atmosphere, Pencadores Islands can be treated as one of the best air quality background sites in Taiwan. In this sampling campaign, five Asian dust storm episodes were observed at Pencadores Islands. Asian dusts transported to Taiwan along the east of China or the east ocean of China and invaded Taiwan from either the northeast or the northwest. The concentrations of atmospheric aerosols during Asian dust storm episodes were 2-3 times higher than the background level. The concentration of PM10 increased dramatically. The increase of PM10 concentration was mainly attributed to coarse particles. The ratio of coarse particles to fine particles for Asian dust storm periods was higher than those for non-Asian dust storm periods. From March to April, the concentration of PM10 increased due to sea-salt aerosol blow into atmosphere by strong eastwest monsoon. It suggested that, at Pencadores Islands, seawater was major chemical species of suspended particles. The concentration of F-, Cl-, Br-, NO3-, SO42-, Na+, Mg2+, and Ca2+ increased during Asian dust storm episodes indicated that pollutant would be transport by Asian dusts. The most possible chemical species in coarse particles would be MgSO4 and CaSO4. The carbon content of suspended particles increased dramatically. The increase of carbon content of coarse particles was mainly attributed to elemental carbon. The increase of carbon content of fine particles was mainly attributed to organic carbon from second reaction. The concentration of Al, K, Br-, Fe, and Ca increased during Asian dust storm episodes indicated that Asian dust storm would transport dusts to Pencadores Islands. The major pollution sources were mobile sources and dust sources at Pencadores Islands. During the Asian dust-storm periods, the percentages of industrial sources, seawater, and secondary aerosols increased dramatically.

Spatial and temporal characteristics of dust storm activity in Saudi Arabia has been established using coarse-particle (PM10) dust concentrations recorded by the KACST monitoring network during the 2000-2003 period, backward trajectory analysis and satellite imagery. Thirty three major dust episodes impacted Riyadh city during the 2000-2003 period. The majority of these intense dust episodes are experienced during the March-August period with interannual and monthly variability in both intensity and frequency. Using TOMS images in conjunction with the backward trajectories corresponding to these 33 major episodes, the dust source regions have been identified. The most vulnerable dust source areas within these identified source regions have also been determined by compiling satellite images of dusty days from the true color SeaWiFs and high resolution MODIS archives over a six-year period (2000-2005). In total 45 dust-source areas have been identified in 9 local source regions and 4 external ones. Furthermore, 38 episodes of high fine-particle (PM2.5) and PM10 dust concentrations were observed at Riyadh city and 16 and 6 episodes of elevated PM10 dust concentrations were observed at Dammam and Jeddah cities, respectively, during March-September 2006, corresponding to the dust season in Saudi Arabia. During these episodes, Riyadh city was significantly impacted by dust from the southern Iraqi source areas and the eastern source areas located to the north and to the northeast of the city, respectively. Moreover, Dammam city was also significantly impacted by dust from the southern Iraqi source areas whereas Jeddah city was evenly impacted by dust from northeastern-northwestern sources to the city, with somewhat higher PM10 concentrations from African dust source areas, located to the northwest of the city. Analysis of meteorological maps of surface pressure as well as upper air data associated with high airborne dust concentrations in Saudi Arabia was successfully performed. This analysis revealed seven common types of dust storms, triggered by a clear seasonal distribution of meteorological conditions: (1) frontal, (2) Haboob, (3) jets convergence, (4) jet streak, (5) Shamal, (6) cyclonic, and (7) gap. The majority of dust episodes that impacted Riyadh city during the study period were triggered by Haboob (~ 42 %) and Shamal (~ 37 %). Additional analyses, including elemental, ionic and biological analyses as well as model analyses were used to further characterize the airborne dust in Saudi Arabia.

A high-volume air sampler (PS-1) was used to measure the concentrations of polycyclic aromatic hydrocarbons (PAHs) in the atmosphere of Kaohsiung coast, PAHs diagnostic ratios,Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA) were employed to determine the potential sources of PAHs. The results show that the lowest concentrations of PAHs occurred in May (2.62 ngm-3), while the highest occurred in December (36.4 ngm-3). The nighttime concentrations of PAHs are higher than daytime with average night / day ratio of 1.65. The PAHs was more distributed in gas phase with proportions between 64.1 to 93.7 %. The 2, 3-Ring PAHs were mostly present in the gaseous phase (96.2 and 96.5 % respectively), 4-Ring also present dominantly in the gaseous phase (73.0 %), 5-Ring present mostly in the particle phase (80.2 %), 6, 7-Ring PAHs were mostly present in particulate phase (97.4 and 97.7 % respectively). During the Ghost Festiva and Asian dust storm events, atmospheric concentrations of PAHs and PAHs/TSP ratios were both found increased. It is found that gaseous and particulate PAHs correlate negatively with ambient temperature(r=-0.62, -0.57). Results from analyses of diagnostic ratios, HCA and PCA, the major sources of pollution include gasoline, diesel exhaust and industrial emission.

Dust storms are one of the natural hazards, which have increased in frequency in the recent years over Sahara desert, Australia, the Arabian Desert, Turkmenistan and northern China, which have worsened during the last decade. Dust storms increase air pollution, impact on urban areas and farms as well as affecting ground and air traffic. They cause damage to human health, reduce the temperature, cause damage to communication facilities, reduce visibility which delays both road and air traffic and impact on both urban and rural areas. Thus, it is important to know the causation, movement and radiation effects of dust storms. The monitoring and forecasting of dust storms is increasing in order to help governments reduce the negative impact of these storms. Satellite remote sensing is the most common method but its use over sandy ground is still limited as the two share similar characteristics. However, satellite remote sensing using true-colour images or estimates of aerosol optical thickness (AOT) and algorithms such as the deep blue algorithm have limitations for identifying dust storms. Many researchers have studied the detection of dust storms during daytime in a number of different regions of the world including China, Australia, America, and North Africa using a variety of satellite data but fewer studies have focused on detecting dust storms at night. The key elements of this present study are to use data from the Moderate Resolution Imaging Spectroradiometers on the Terra and Aqua satellites to develop more effective automated method for detecting dust storms during both day and night and generate a MODIS dust storm database.

Dust storms are one of the natural hazards, which have increased in frequency in the recent years over Sahara desert, Australia, the Arabian Desert, Turkmenistan and northern China, which have worsened during the last decade. Dust storms increase air pollution, impact on urban areas and farms as well as affecting ground and air traffic. They cause damage to human health, reduce the temperature, cause damage to communication facilities, reduce visibility which delays both road and air traffic and impact on both urban and rural areas. Thus, it is important to know the causation, movement and radiation effects of dust storms. The monitoring and forecasting of dust storms is increasing in order to help governments reduce the negative impact of these storms. Satellite remote sensing is the most common method but its use over sandy ground is still limited as the two share similar characteristics. However, satellite remote sensing using true-colour images or estimates of aerosol optical thickness (AOT) and algorithms such as the deep blue algorithm have limitations for identifying dust storms. Many researchers have studied the detection of dust storms during daytime in a number of different regions of the world including China, Australia, America, and North Africa using a variety of satellite data but fewer studies have focused on detecting dust storms at night. The key elements of this present study are to use data from the Moderate Resolution Imaging Spectroradiometers on the Terra and Aqua satellites to develop more effective automated method for detecting dust storms during both day and night and generate a MODIS dust storm database. / Libyan Centre for Remote Sensing and Space Science / Appendix A was submitted with extra data files which are not available online.

Coastal atmospheric concentrations of polycyclic aromatic hydrocarbons (PAHs) were measured at top of a building on campus of the National Sun Yat-sen University of Kaohsiung. Concentrations of 52 PAH compounds were analyzed in both gaseous and particulate phases in air samples collected from May 2008 through April 2009. PAHs diagnostic, Hierarchical Analysis (HCA) and Principal Component Analysis (PCA) were employed to determine the potential sources of PAHs. The Group Method of Data Handling (GMDH) was applied to relate atmospheric PAH concentration to air quality variables like SO2 and O3, as well as meteorological conditions like precipitation and temperature. During the sampling period the mean of total PAH concentrations was 14.2 ng/m3. Over all, PAH concentrations in winter were higher than summer, with the lowest concentrations of PAHs occurred in June (2.22 ng/m3), while the highest occurred in January (32.4 ng/m3). The night-time concentrations of PAHs are higher than daytime. The 2, 3-ring PAHs were mostly present in the gaseous phase, 4-ring were dominant in the gaseous phase, while 5, 6, 7-ring PAHs were mostly present in the particulate phase. During the Ghost festival and Asian dust storm events, atmospheric concentrations of PAHs and PAHs/TSP ratios were both found increased. Meteorological conditions, such as temperature and relative humidity, may strongly affect PAH concentrations, the gaseous and particulate PAHs correlate significantly with SO2, NOx, and PM10. Result from analyses of diagnostic rations, HCA and PCA, indicates the major sources of PAHs include gasoline and diesel exhaust. By using GMDH, a reasonable appraisal index was obtained for the pattern forecast potency with the meteorological and air quality variables. The GMDH algorithm obtained during 2008~2009 was tested in predictions and compared with what measured in 2007~2008.

In this thesis, a new aerosol module is developed for the STEM model (the Sulfur Transport and dEposition Model) to better understand the chemical aging of dust during long range transport and assess the impact of heterogeneous reactions on tropospheric chemistry. The new aerosol module is verified and first applied in a box model, and then coupled into the 3-Dimentional STEM model. In the new aerosol model, a non-equilibrium (dynamic or kinetic) approach to treat gas-to-particular conversion is employed to replace the equilibrium method in STEM model. Meanwhile, a new numerical method solving the aerosol dynamics equation is introduced into the dynamic aerosol model for its improved computational efficiency and high accuracy. Compared with the equilibrium method, the new dynamic approach is found to provide better results on predicating the different hygroscopicity and chemical aging patterns as a function of size. The current modeling study also takes advantage of new findings from laboratory experiments about heterogeneous reactions on mineral oxides and dust particles, in order to consider the complexity of surface chemistry (such as surface saturation, coating and relative humidity). Modeling results show that the impacts of mineralogy and relative humidity on heterogeneous reactions are significant and should be considered in atmospheric chemistry modeling with first priority. Finally, the upgraded 3-D STEM model is utilized to explore the observations from the Intercontinental Chemical Transport Experiment - Phase B (INTEX-B). The new dynamic approach for gas-to-particular conversion and RH-dependent heterogeneous uptake of HNO3 improve the model performance in term of aerosol predictions under different conditions. It is shown that these improvements change the modeled nitrate and sulfate concentrations, but also modify their size distributions significantly.

Harmattan and Dust (sand) storms together with anthropogenic activities including the use of firewood and kerosene as fuel for cooking, and diesel/petrol generators for electricity generation are potential sources of particulate and gaseous pollutants in homes in Damaturu town, Nigeria. Other activities like the burning of locally produced incense and mosquito coils as well as the use of aerosol sprays are further possible sources of indoor pollution, which may result in exposure of people to a range of pollutants through inhalation, by ingestion of settled dusts as well as dermal contact. Local people associate occurrence of dust events with adverse health effects and hence there is a need for an understanding of the composition of the settled and airborne dusts in order to assess the possible associated health risks. The first phase of the study involved selection and development of methods of dust sampling and analysis. For validation of the methods employed and to establish a broad understanding of the characteristics of the settled dusts, an initial survey study was conducted involving the application of thermal desorption/gas chromatography/mass spectrometry (TD/GC/MS) analysis for organic compound analysis, scanning electron microscopy (SEM), inductively coupled plasma-mass spectrometry (ICP-MS) for analysis of metals, and microbiological analysis. Airborne samples were also collected using sorbent tubes to determine organic compounds in air during activities such as cooking with kerosene, gas, and firewood as well as during electricity generation with fossil fuels. Carbon monoxide (CO) and ultrafine particles (UFPs) monitored simultaneously during some of the household activities. The study involved a novel method of extracting organic chemical emissions from dust by heating of the dusts directly in a micro chamber (μ-CTETM) and collection of emissions on sampling tubes. The method provided a relatively quick way of collecting chemical emissions from dusts that are readily available for release. The sampled tubes were analysed by TD/GC/MS. The conventional solvent extraction of the dusts was also carried out and the extracts were analysed by liquid injection-GC/MS and results of the two methods compared. The study determined a number of constituents (metals, SVOCs, phthalates and physical properties) of dusts collected from households in Damaturu during different weather events and from different indoor/outdoor locations; and compared with some UK samples. The samples investigated include dusts deposited; during two notable dusty-weather events (Harmattan and Storm) as well as when there was no notable dust event; during human activities; and dusts from different types of buildings (modern and traditional homes) as well as inside and outside homes. A standard reference material for organic chemicals (SRM 2585) was also analysed. The physical characterization of the settled house dust samples analysed revealed the various shapes and sizes, and elemental composition of the constituents, which included respirable particles. The microbial analysis also indicated the presence of the spores of a host of fungi and bacterial species; and the possible contributions of household activities to the increased production of pollutants (UFP and CO) ascertained. The μ-CTE extraction of the house dusts by heating with TD/GC/MS analysis of the emissions as well as the solvent extraction-GC/MS revealed the presence of many organic chemical compounds with different analytical retention times and varying concentrations in the dust samples. Chemicals of interest quantified: benzene, hexanal, nonanal, diethyl phthalate (DEP), diisobutylphthalate (DIBP), dibutylphthalate (DBP), and diethylhexylphthalate (DEHP). A host of other chemicals commonly present in the analysed samples identified using the NIST library associated with the MS system software. These chemicals included naphthalene and C10-C16 aliphatic and aromatic hydrocarbons, which would need confirmation by running the pure compound samples. There was an observed higher concentration of the chemicals in the solvent extracts than the μ-CTE extracted dust. The higher concentration of the chemicals in the solvent extracts expected due to the aggressive removal of the chemicals by the organic solvent whereas in the case of thermal extraction only the readily available chemicals (loosely bound to the matrix) released by increases in temperature were removed. Generally, the concentrations of the chemicals found were higher in the indoor than in the outdoor dust samples. In the analysis of the dusts collected during weather events; higher chemical concentrations observed in the samples collected during Harmattan period than the other periods. The Harmattan dust period may pose increased exposures to dust and possible health risks. More exposure is expected to occur in the traditional homes compared with the modern homes due to the higher concentrations of the chemicals in both the indoors and the outdoors and this may be especially important to women and children who spend most of their times at home. Metal analysis involved microwave-assisted digestion of the dust samples followed by ICP-MS analysis. The total quant method of metal analysis for a general profiling indicated the presence of more than 50 elemental contaminants in house dust. The results of the quantitative analysis for six target metals: Cd, Cr, Cu, Ni, Pb, and Zn showed their presence in all indoor and the outdoor dust samples. The mean concentrations showed that the metals were in higher concentrations in the indoor dusts than in the outdoor dusts. The quantitative analysis carried out indicated higher metal contents in the storm dusts than the dusts during the other periods. Results of the dusts collected from modern and traditional homes indicated the presence of the metals in higher concentrations in the dusts from traditional homes than the dusts from the modern homes. The estimated mean concentrations of the metals and phthalates inadvertently ingested as a constituent of dust indicated that some of the pollutants could exceed the tolerable daily intake (TDI) due to high exposures to dust expected to be the case in Damaturu. The results of the investigation of the dust composition, combined with information on exposure to dust and pollutants, show that dusts are a risk to the health of people in the Damataru community. Recommendations are made for more studies to provide a better understanding of dust ingestion and exposure to some phthalates and heavy metals in particular and the possible health risks. To the best of my knowledge, this is the first ever research study of airborne and settled dusts undertaken in North-Eastern Nigeria.

The United Arab Emirates is a new country that has had little time to accumulate a scientific heritage. Meteorologically researched and documented weather material for forecasters is virtually non-existent and that available is fragmented and anecdotal. The thesis tackles this problem by identifying weather phenomena significant to aviation in the Emirates and particularly at Abu Dhabi International Airport (ADIA). Mechanisms responsible for their development are described and applicable forecasting rules and principles are derived. Surface and upper air observation data at ADIA from 1983 to 2002 were analysed to identify the weather phenomena, their associated weather systems and for statistical analyses. When relevant, observation data at Al Ain was also used. Post-processed numerical weather prediction Global Forecast Service Eta model data are used and when and where possible radar and satellite imagery. A secondary aim is to provide information of the general seasonal climate. This was achieved by means of a literature study of the dominating weather systems and the presentation of surface and upper air mean circulation charts. Fog is the most important weather phenomenon and serious disrupter of aviation at ADIA throughout the year. It does not occur during Shamal conditions, but fog can form well inland on the edge of the Empty Quarter at the Liwa Oasis when the Shamal wind becomes light. Contrary to local belief, fog is unlikely to occur on two, or more, consecutive nights. The Shamal can last for several days and disrupt helicopter flights to the oil rigs, while anabatic and katabatic effects often make it gustier and stronger inland at Al Ain than ADIA. While dust storms occur in strong southerly winds off the desert, the Shamal can bring dust from further afield from the north as can the previously unreported Nashi wind. The sea breeze can extend about 150 km inland to Al Ain and the Liwa Oasis. Thunderstorms associated with winter upper air troughs from the west, are the main producers of rain, while occasional thunderstorms off the Hajar Mountains in the east bring some rain in summer. Tropical depressions are a rare event. / Thesis (PhD)--University of Pretoria, 2010. / Geography, Geoinformatics and Meteorology / PhD / Unrestricted

Approved for public release; distribution in unlimited. / On day five of combat operations during Operation IRAQI FREEDOM, advances by coalition forces were nearly halted by a dust storm, initiated by the passage of a synoptically driven cold front. This storm impacted ground and air operations across the entire Area of Responsibility, and delayed an impending ground attack on the Iraqi capital. Military meteorologists were able to assist military planners in mitigating at least some of the effects of this storm. This thesis examines the synoptic conditions leading to the severe dust storm, evaluates the numerical weather prediction model performance in predicting the event, and reviews metrics pertaining to the overall impacts on the Operation IRAQI FREEDOM combined air campaign. In general, the numerical model guidance correctly predicted the location and onset of the dust storms on 25 March, 2003. As a result of this forecast guidance, mission planners were able to front load Air Tasking Orders with extra sorties prior to the onset of the dust storm, and were able to make changes to planned weapons loads, favoring GPS-guided munitions. / Captain, United States Air Force