Main findings Although the data did not allow the inclusion of non-identified or “unknown” sources, allocation of the impact at the receptor point to the identified sources proved possible and useful in comparing individual tailings dams contributions. The No. 4 tailings dam has been identified as one of the major contributors to PM10 concentration at West Village. The average PM10 gravimetric concentration recorded at West Village was 18.4 μg/m3 and the concentration with the light scatter method was 15.4 μg/m3. Black carbon has been identified as significant contributor to overall PM10 mass concentrations with up to 34% in the winter season. Source appointment from receptor-based measurements has not been previously conducted at Driefontein Gold Mine. Source apportionment can make a valuable contribution in attempts to reduce air pollution. At a site where particulate matter is the predominant pollutant from a variety of potential sources, the contributions from the individual sources may be difficult to distinguish especially if the sources fall within a single category type with similar pollutant profiles. It would be useful to ascertain the individual contributions so that the effectiveness of existing control measures can be determined and areas where additional controls may be required can be identified. Too this effect, potential dust sources at and around a gold mine were identified. Samples of the dust sources were collected and analysed for their elemental compositions and abundances. A receptor point in a mine village was selected and equipped with an ESampler PM10 dust monitor as well as an aethalometer, the MicroAeth AE51 (MicroAeth). Monthly receptor samples were collected and analysed for their elemental concentrations. The elemental compositions of the potential sources and the concentrations at the receptor were statistically analysed for 12 periods of a month each to determine the possible contributions to the PM10 concentration at a mine village (West Village, Driefontein Mine, near Carletonville). Main conclusions Operational tailings dams can under, certain conditions contribute the major portion of fallout dust and PM10, even more than dormant tailings dams. / Dissertation (MSc)--University of Pretoria, 2013. / gm2014 / Chemical Engineering / Unrestricted

Atmosphärische Aerosolpartikel können durch ein breites Spektrum an natürlichen oder anthropogenen Emissionen mit unterschiedlich hohen Konzentrationen in die Atmosphäre freigesetzt werden. Sie beeinflussen den Strahlungshaushalt und damit auch das Klima der Erde und können außerdem durch ihre Präsenz in der Atmosphäre Wechselwirkungen mit Mensch und Natur, also dem gesamten Ökosystem haben. Seit dem Jahr 2010 gelten in der EU Grenzwerte für die PM10 Tagesmittelkonzentration, die jedoch bereits wenige Monate nach Beginn der Gültigkeit an vielen Messstationen überschritten wurden. Das Ziel der vorliegenden Arbeit war eine objektive Bewertung der Herkunft und des Zustandes der an einem Messort ankommenden Luftmasse und der damit verbundenen Schadstoffniveaus. Im ersten Teil der Arbeit wurden PM10 Messdaten aus fünf Jahren in und um Leipzig sowie analog in fünf verschiedenen Regionen deutschlandweit in Bezug auf PM10 Grenzwertüberschreitungen untersucht. Es wurden Rückwärtstrajektorien für eine Clusteranalyse verwendet, mit der spezifische Wetterlagen unterschieden wurden und diesen dann die einzelnen Messtage mit den zugehörigen Schadstoffkonzentrationen zugeordnet wurden. Hierbei wurde deutlich, dass durch entsprechende meteorologische Bedingungen sowohl lokal als auch regional emittierte Schadstoffe in Bodennähe akkumulieren oder aber auch räumlich verteilt werden können. Außerdem wurde in dieser Arbeit eine Modellvalidierung vorgestellt. Es wurde das Modellsystem COSMO-MUSCAT/ext-M7 verwendet, dessen Ergebnisse mit Beobachtungsdaten verglichen wurden. Als erstes wurde die Beschreibung der meteorologischen Bedingungen, dann die räumliche Verteilung von PM10, die chemische Partikelzusammensetzung sowie physikalische Aerosolparameter wie Partikelanzahl, -volumen und -durchmesser verglichen. Die Ergebnisse deuten darauf hin, dass nach wie vor Probleme bei der Beschreibung der mikrophysikalischen Aerosoleigenschaften bestehen. Die Größenordnungen der verglichenen Parameter können vom Modell abgebildet werden, dennoch müssen Modellergebnisse nach wie vor mit Vorsicht interpretiert werden, insbesondere hinsichtlich von Prozessen, bei denen die Partikelanzahl eine Rolle spielen.

Ahvaz, Iran ranks as the most polluted city of the world in terms of PM10 concentrations that lead to deleterious effects on its inhabitants. This study examines diurnal, weekly, monthly and annual fluctuations of PM10 between 2009 and 2014 in Ahvaz. Health effects of PM10 levels are also assessed using the World Health Organization AirQ software. Over the study period, the mean PM10 level in Ahvaz was 249.5 mu g m(-3), with maximum and minimum values in July (420.5 mu g m(-3)) and January (154.6 mu g m(-3)), respectively. The cumulative diurnal PM10 profile exhibits a dominant peak between 08:00-11:00 (local time) with the lowest levels in the afternoon hours. While weekend PM10 levels are not significantly reduced as compared to weekdays, an anthropogenic signature is instead observed diurnally on weekdays, which exhibit higher PM10 levels between 07:00-17:00 by an average amount of 14.2 mu g m(-3) as compared to weekend days. PMio has shown a steady mean-annual decline between 2009 (315.2 mu g m(-3)) and 2014 (143.5 mu g m(-3)). The AirQ model predicts that mortality was a health outcome for a total of 3777 individuals between 2009 and 2014 (i.e., 630 per year). The results of this study motivate more aggressive strategies in Ahvaz and similarly polluted desert cities to reduce the health effects of the enormous ambient aerosol concentrations. (C) 2016 Elsevier B.V. All rights reserved.

Poor regional air quality in some states across the US cotton belt has resulted in increased pressure on agricultural sources of particulate matter (PM) from air pollution regulators. Moreover, inaccurate emission factors used in the calculation of annual emissions inventories led to the identification of cotton harvesting as a significant source of PM10 in California and Arizona. As a result, cotton growers in these states are now required to obtain air quality permits and submit management practice plans detailing the actions taken by the producer to reduce fugitive PM emissions from field operations. The objective of this work was to develop accurate PM emission factors for cotton harvesting in terms of total suspended particulate (TSP), PM10, and PM2.5. Two protocols were developed and used to develop PM emission factors from cotton harvesting operations on three farms in Texas during 2006 and 2007. Protocol one utilized TSP concentrations measured downwind of harvesting operations with meteorological data measured onsite in a dispersion model to back-calculate TSP emission flux values. Flux values, determined with the regulatory dispersion models ISCST3 and AERMOD, were converted to emission factors and corrected with results from particle size distribution (PSD) analyses to report emission factors in terms of PM10 and PM2.5. Emission factors were developed for two-row (John Deere 9910) and sixrow (John Deere 9996) cotton pickers with protocol one. The uncertainty associated with the emission factors developed through protocol one resulted in no significant difference between the emission factors for the two machines. Under the second protocol, emission concentrations were measured onboard the six-row cotton picker as the machine harvested cotton. PM10 and PM2.5 emission factors were developed from TSP emission concentration measurements converted to emission rates using the results of PSD analysis. The total TSP, PM10, and PM2.5 emission factors resulting from the source measurement protocol are 1.64 ± 0.37, 0.55 ± 0.12, and 1.58E- 03 ± 4.5E-04 kg/ha, respectively. These emission factors contain the lowest uncertainty and highest level of precision of any cotton harvesting PM emission factors ever developed. Thus, the emission factors developed through the source sampling protocol are recommended for regulatory use.

The research presented in this thesis provides a quantitative analysis of atmospheric influences on particulate matter pollution in Christchurch across a wide range of spatial and temporal scales. A complex interaction of low level flow characteristics that form in response to local and regional features of complex terrain, together with an urban setting that is characterised by low density housing, mostly comprised of single storey dwellings that are poorly insulated, regularly leads to nocturnal smog events during winter in Christchurch. Provided synoptic flow is weak, the above mentioned flow interaction promotes flow stagnation over the city, when nocturnal katabatic drainage flows and day-time north-easterly on-shore winds converge over the city. Additionally, undercutting of the density currents promotes highly stable atmospheric stratification close to the surface, so that, in combination, both horizontal and vertical air movement is suppressed. As particulate emission release from solid fuel burning for home heating coincides with this poor atmospheric dispersion potential, particle concentrations can increase substantially so that national air quality guidelines are regularly exceeded during winter in Christchurch. At the core of this thesis is a classification based approach that examines the day-to-day probabilities of breaches of the national air quality guideline for PM over the last decade at a single location in Christchurch as a result of variations in meteorological conditions alone. It is shown that, based on variations in temperature and wind speed, up to 85% of exceedence occurrence can be explained. From this, concentration trends over time, when meteorological variability is kept to a minimum, are assessed and evidence is found that recent regulatory measures to enhance air quality are beginning to show positive effects. Atmospheric processes that control pollution dispersion on the mesoscale are investigated through means of atmospheric numerical modelling in a novel approach that assimilates observational climatic wind field averages to drive low level flow for two idealised case studies. It is shown that this approach is able to reproduce the observed diurnal concentration patterns very well and that much of these patterns can be attributed to mesoscale circulation characteristics and associated atmospheric dispersion potential, namely flow stagnation and recirculation of contaminants. When timing of stagnation and subsequent recirculation is such that it occurs within a few hours after peak emission release, concentration increase is enhanced and dilution is delayed, thus severely exacerbating the problem. Links between exceedence probabilities and synoptic situations that favour the degradation of air quality are established and various synoptic transition scenarios are examined with regard to local air quality. The progression of anticyclones across the country is identified to be the dominant synoptic control mechanism and it is shown that latitudinal variation in the progression path determines the extent of expected exceedence probability. On interdecadal hemispheric scales, it is found that a particular combination of local and synoptic atmospheric conditions that favours air quality degradation, shows a re-occurring pattern of frequency maxima (and minima) with a periodicity of approximately 14 - 16 years. For the synoptic part of this interdecadal variability, a close relationship to Southern Hemispheric pressure anomalies in high latitudes is revealed. Finally, for verification of the combined findings and to assess their prediction capability, a validation case study is given which shows that the applied methodology is able to capture day-to-day variations in pollution levels with acceptable (statistically significant) accuracy.

The thesis is focused on the combine harvester in terms of noise and dust in the cabin, but also outside. The literature search is the basic data and concepts from areas combine harvesters, noise and dust. The actual measurements were carried out on the land at the four farmers. Measured the machines were different dates of manufacture. These are machines Fortschritt E 512 (1983), Fortschritt E 514 (1989), IH 2188 (1998) and Claas Avero 240 (2011). The results of measurement were graphically displayed and compared each other. The measured values were compared with the current legislation. These measurements showed that the noise does not just limit oldest machine. Dustiness been in this job for guidance only. Thanks dust measurements but we get a more complete view of the work environment in which the operator is exposed.

abstract: Dust storms known as 'haboobs' occur in the City of Tempe, AZ during the North American monsoon season. A haboob classification method based on meteorological and air quality measurements is described. There were from 3 to 20 haboob events per year over the period from 2005 to 2014. The calculated annual TSP (total suspended particulate) dry deposition during haboobs is estimated to contribute 74% of the total particulate mass deposited in Tempe, AZ. Dry deposition is compared with the aqueous chemistry of Tempe Town Lake. Water management and other factors may have a stronger impact on Tempe Town Lake chemistry than haboob dry-deposition. Haboobs alter the Polycyclic Aromatic Hydrocarbon (PAH) concentrations and distributions in Tempe, AZ. PAH isomer ratios suggest PM2.5 (particulate matter with aerodynamic diameters less than or equal to 2.5 μm) sources consistent with approximate thunderstorm outflow paths. The importance of the atmospheric aqueous phase, fogs and clouds, for the processing and removal of PAHs is not well known. A multiphase model was developed to determine the fate and lifetime of PAHs in fogs and clouds. The model employed literature values that describe the partitioning between three phases (aqueous, liquid organic, and gas), in situ PAH measurements, and experimental and estimated (photo)oxidation rates. At 25 °C, PAHs with two, three and four rings were predicted to be primarily gas phase (fraction in the gas phase xg > 90 %) while five- and six-ring PAHs partitioned significantly into droplets (xg < 60 %) with aqueous phase fractions of 1 to 6 % and liquid organic phase fractions of 31 to 91 %. The predicted atmospheric lifetimes of PAHs in the presence of fog or cloud droplets (< 5 hours) were significantly shorter than literature predictions of PAH wet and dry deposition lifetimes (1 to 14 days and 5 to 15 months respectively) and shorter than or equal to predicted PAH gas phase / particle phase atmospheric lifetimes (1 to 300 hours). The aqueous phase cannot be neglected as a PAH sink due to the large aqueous volume (vs. organic volume) and the relatively fast aqueous reactions. / Dissertation/Thesis / Doctoral Dissertation Chemistry 2016

Made available in DSpace on 2018-08-24T22:53:00Z (GMT). No. of bitstreams: 1 tese_2610_dissertacao.pdf: 782482 bytes, checksum: 6c57a81c7e36490953edf68b7026043a (MD5) Previous issue date: 2008-08-20 / Estudos com series temporais t^em sido amplamente utilizados em analises de dados ambientais. Este trabalho avalia as concentrac~oes diarias de Material Particulado Inalavel (PM10) para a Regi~ao da Grande Vitoria, ES, Brasil, para os anos de 2003 e 2004, utilizando processos SARFIMA-GARCH, modelos que capturam as propriedades de longa depend^encia, sazonalidade e volatilidade condicional variavel no tempo. Para veri-car a e-cacia da metodologia, realizou-se estudos de comparac~ao de predic~ao e previs~ao a modelos usuais da literatura, e os resultados evidenciaram que o modelo proposto, SARFIMAGARCH captou melhor variabilidade dos dados em termos do erro quadratico medio.

Las partículas atmosféricas, que pueden provenir de fuentes naturales o antropogénicas, producen una serie de efectos negativos en la salud humana y en el medio ambiente, en el clima, en la visibilidad, en los materiales de las construcciones etc. En la provincia de Castellón, en un área de aproximadamente 300 Km2 se localizan más de 200 empresas relacionadas con el sector cerámico. Allí se concentra el 94 % de la producción cerámica española que supone el 43 % de la producción europea. Desde el año 2005 existe un convenio entre el Ayuntamiento de Alcora y la Universidad Jaume I de Castellón con el objetivo de realizar un seguimiento de la contaminación en su término municipal, estudiando la zona industrial y la zona urbana de la población. Este seguimiento se refiere tanto a los niveles de PM10 y de PM2,5 como a la composición química (contenido de níquel, cadmio, arsénico y plomo en PM10 y PM2,5 ) del material particulado muestreado. La experiencia y datos obtenidos a partir del citado convenio llevaron a plantear como tema central de este trabajo el estudio de los niveles de contaminación y la composición química en cuanto a elementos regulados (Ni, Cd, As y Pb) de las partículas atmosféricas en ambas zonas de Alcora, su evolución entre los años 2006 y 2010 y su correspondencia con los niveles medidos por la Conselleria en el resto de localidades del cluster cerámico en el mismo periodo estudiado, así como el grado de cumplimiento de la legislación. Además, se han seleccionado una serie de muestras en las zonas industrial y urbana de Alcora, PM10 y PM2,5, repartidas entre los años 2006 y 2010 y se han analizado determinando su composición química. La utilización de un modelo de receptor, análisis de componentes principales (PCA), a partir de los resultados de los análisis ha dado como resultado la identificación de las posibles fuentes, de origen natural y antropogénico. A partir de los datos horarios de PM10 y PM2,5 de las distintas estaciones que la Consel / García Aleix, JR. (2012). Evolución de la calidad del aire en el cluster cerámico de Castellón (y su relación con la actividad industrial). Origen y efectos de la contaminación por partículas en suspensión atmosférica [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/16545 / Palancia

PM10-halterna är höga i Södertälje och har varit det sedan mätningarna började år 2006. PM10 är en luftförorening som innebär små luftburna partiklar med en diameter mindre än 10 mikrometer. I detta arbete har PM10-halterna i Södertälje undersökts och sammanställts från att de började mätas och fram till våren 2017. På Turingegatan i centrala Södertälje har en av miljökvalitetsnormerna gällande PM10-partiklar överskridits 5 år under den senaste 10-årsperioden. En jämförelse av dygnsmedelvärdet per år mellan Turingegatan och Hornsgatan i Stockholm visade att PM10-halterna det senaste decenniet sjunkit markant på Hornsgatan medan ingen tydlig nedåtgående trend synts på Turingegatan. Hornsgatan hade år 2007 betydligt högre halter jämfört med Turingegatan. I takt med att åtgärder för att reducera partikelhalterna på Hornsgatan sattes in så nära halverades det årliga dygnsmedelvärdet på Horsgatan under de följande 8 åren. Halterna var år 2014 och 2015 högre på Turingegatan än på Hornsgatan.   I Södertälje utfördes under mars och april 2017 den första åtgärden att förbättra luftkvaliteten i stadskärnan. Utvalda gator i Södertälje dammbands med dammbindningsmedlet CMA (Kalcium-magnesium-acetat) vilket är ett salt som håller vägbanan fuktig och hindrar vägdammet från att virvla upp i luften. En utvärdering av denna åtgärd har skett genom tre grafiska analyser samt med hjälp av NORTRIP-modellering. NORTRIP står för NOn-exhaust Road TRaffic Induced Particle emissions och är en modell som utvecklats för att beräkna partikelhalter i luften som skapats från vägtrafik. Modellen kan användas för att modellera hur partikelhalterna förändras vid olika scenarion och åtgärder. Modellering och utvärdering av följande scenarion på Turingegatan presenteras i detta arbete; dubbdäcksförbud, minskad trafik, minskad hastighet, utökad dammbindning, städning, miljözon och ogynnsam meterologi.   Dygnsmedelvärdet per år på Turingegatan jämfördes med mätstationen vid Norr Malma som är belägen på landsbyggden och representerade de naturligt förekommande PM10-halterna. Dessa bakgrundshalter utgjorde 26-40% av PM10-halterna på Turingegatan, det innebär att mellan 60-74 % av halterna har generarats lokalt vid gatan. Det är främst dessa halter som kan påverkas av åtgärder. En sammanställning av dygnsmedelvärdena per månad visade att PM10-halterna i Södertälje var som högst under mars och april under samtliga år som halterna uppmätts. Timmedelvärdena för PM10 under 2016 vid Turingegatan visade att det högsta uppmätta timmedelvärdet översteg 600 µg/m3 vilket kan anses allvarligt ur ett hälsoperspektiv. Så höga halter var dock ovanliga då 3:e kvartilen endast låg på 18 µg/m3. NORTRIP-modelleringen av PM10-halterna på Turingegatan skedde för perioden 22 december 2016 – 27 april 2017. Modellen beräknade det genomsnittliga dygnsmedelvärdet för perioden med endast 1 % avvikelse från det uppmätta dygnsmedelvärdet för samma period. Resultatet från modelleringen visade dock att halterna överskattades avsevärt ett flertal gånger. Vid modelleringen saknades indata över vägfukten och eftersom dessa data är viktig för NORTRIP-modellens resultat kan detta vara anledningen till den mindre bra överrensstämmelsen mellan modellerade och uppmätta värden. Antalet dagar med dygnsmedelvärden över 50 µg/m3 modellerades till 28 dygn vilket stämde överrens med de uppmätta värdena för perioden. Dock var det bara 19 av 28 dygn (ca 70%) då modellen beräknade samma dygn som de uppmätta. Det fanns en tydlig korrelation mellan de uppmätta och modellerade halterna men den visade inte på signifikans. Modelleringen har förbättringspotential hade troligen gett ett bättre resultat med tillgång till fler viktiga indata-parametrar. En NORTRIP-modellering av effekten på PM10-halterna vid olika scenarion och åtgärder på Turingegatan 22 december 2016 – 27 april 2017 visade att den åtgärd som sänkte PM10-dygnsmedelvärdet mest och reducerade flest antal dagar från att överskrida 50 µg/m3 var minskad trafikmängd med 30%. Åtgärden sänkte halterna med nära en tredjedel och hindrade 16 dygn från överskridanden. Den näst bästa åtgärden med avseende på minskat dygnsmedelvärde var miljözon, följt av dubbdäcksförbud. Gällande antalet dagar som reducerades från att överskrida 50 µg/m3 gav dubbdäcksförbud näst bäst resultat med 15 reducerade dygnsöverskridanden. Utökad dammbindning beräknades också ge god reduktion, 11 dagar hindrades från överskridande och dygnsmedelvärdet för de lokalt genererade partikelhalter minskade med 25%. Att utöka städningstillfällena gav minst effekt på partikelhalterna, dygnsmedelvärdet reducerades endast med 3% och 2 dygn hindrades från överskridanden.   Ett scenario med ogynnsam meterologi vilket innebar att ingen nederbörd föll under perioden och beräknades höja det totala och lokala dygnsmedelvärdet med 61% respektive 79% samt bidra till ytterligare 11 överskridande dygn under perioden. Scenariot är orimligt, men visar på hur viktig nederbörden är för partikelhalternas nivåer. Resultaten av modelleringen av scenariona ligger i linje med tidigare studier av åtgärders effekt och resultatet kan därför anses ge en trovärdig indikation om scenarionas effekt på PM10-halterna. Värden och procentsatser innehåller dock stora osäkerheter och bör tolkas med försiktighet.   De grafiska analyserna visade att dammbindningen eventuellt reducerat PM10-halterna men resultatet innehöll stora osäkerheter. Dessa analyser tog ingen hänsyn till meterologin vilket bidrog till osäkerheterna. Ingen effekt kunde utläsas från timmedelvärdena direkt efter utläggning. En av de grafiska analyserna som jämförde dygnsmedelvärdena under perioden visade att ett dygn sannolikt hindrats från att överskrida 50 µg/m3 på grund av dammbindningen. I NORTRIP beräknades att dammbindningen under perioden 12 mars – 27 april minskat det totala dygnsmedelvärdet med 12% och det lokala med 18%. Modellen beräknade likt en av de grafiska analyserna att 1 dygn räddats från att överskrida ett dygnsmedelvärde på 50 µg/m3. Det dygnsmedelvärde som modellen beräknade hade räddats från överskridande hade dock enligt de uppmätta värdena inte räddats. En sammanvägning av resultatet från den grafiska analysen och NORTRIP-modellen visar dock att det är sannorlikt att en dag räddats från överskridande. / The levels of the airborne particle matter PM10 are currently high in the Swedish city of Södertälje and it has been high since the particle measures begun in 2006. PM10 stands for small particles with a diameter less than 10 micrometer. In the street of Turingegatan in central Södertälje the Swedish environmental quality standards has been exceeded 5 years during the last decade. The PM10 daily mean value per year in Turingegatan was compared to the values of Hornsgatan, a busy street in the capital city Stockholm. It was shown that the levels of PM10 had decreased in Hornsgatan during the last decade, while no decreasing trend of the particle levels was shown on Turingegatan. The particle levels were considerably higher in Hornsgatan compared to Turingegatan in 2007. As measures were imposed on Hornsgatan the PM10 levels in the street almost halved during the following 8 years. In 2014 and 2015 the particle levels was higher in Turingegatan than in Hornsgatan.   The first measure to decrease the PM10 levels in Södertälje was imposed in March and April 2017. Dust binding with CMA (Calcium magnesium acetate) was implemented in selected streets of Södertälje. CMA is a salt that keep moisture stick to the pavement of the street, to prevent road dust from whirling up in the air. An assessment of this measure was carried out by three graphic analyses and by using a modelling tool called NORTRIP. NORTRIP is a model developed to simulate levels of particle matter in the air generated from road traffic. NORTRIP stands for NOn-exhaust Road TRaffic Induced Particle emissions.   This report present the result of the investigation and compilation of the PM10 levels in two streets in Södertälje, further the particle levels has been compared to levels in the country side and Hornsgatan in the capital city. The NORTRIP model was used to simulate the particle levels in Turingegatan. The model can be used to simulate the change in particle levels while imposing different scenarios of e.g. measures to reduce the particles. This report present an evaluation of the following scenarios in Turingegatan; ban of studded tyres, reduced amount of traffic, reduced traffic speed, increased number of dust binding occasions, road cleaning, ban of heavy vehicles and disadvantaged meteorology.   An investigation of the mean value per hour in 2016 showed that the maximum mean value exceeded 600 µg/m3 in Turingegatan which is devastating from a health perspective. However, such high PM10 levels were not common since the value of the third quartile was only 18 µg/m3. The PM10 daily mean value per year in Turingegatan was compared to the PM10 levels from the measuring station in Norr Malma which is located in the country side. The particle levels in Norr Malma got to represent the natural background levels of PM10. These levels constituted of 26-40 % of the PM10 levels in Turingegatan the last decade; this means that 60-74 % of the particle levels in Turingegatan have been generated locally in the street. A compilation of the daily mean values per month in Södertälje revealed that the highest PM10 levels were measured in March and April every year since the PM10 measures started. The NORTRIP model was used to simulate the PM10 values in Turingegatan from 22nd of December 2016 until 27th of April 2017. The model computed the daily mean value of the period with a similar result compared to the measured values; the daily mean value differed only by 1 %. However, the simulation overestimated the values considerably several times. The peaks of the simulation were often higher than the peaks of the measured values. A conceivable reason for this is the lack of input data regarding road moisture. It is probable that the model calculated the road to dry more and faster than was happening in reality which caused the high peaks in the simulation. The model calculated the number of daily mean values exceeding 50 µg/m3 during the period to 28 days which comported with the measured result. However, 19 out of the 28 days of the exceeding daily mean value was found to be on the same date in the modelled values and the measured values.  A distinct correlation was found between the measured and modelled data, however it did not show significance. The result from the model has substantial potential to improve with access to more important input data such as road moisture. The NORTRIP simulation of different scenarios on Turingegatan from 22nd of December 2016 until 27th of April 2017 showed that the most efficient measure was reduced traffic by 30 %, this reduced the daily mean value of PM10 by nearly one third. This measure was also most efficient to lower the amount of days exceeding a daily mean value of 50 µg/m3, 16 days was prevented from exceeding. The second most efficient measure to lower the daily mean value was ban of heavy vehicles, followed by ban of studded tyres. Considering the number of days exceeding 50 µg/m3 the ban of studded tyres gave the second best effect by reducing 15 days from exceedance. The result of the simulation showed that additional frequent dust binding during the period was also efficient to reduce the airborne particle levels, the locally generated daily mean value was lowered by 25% and the number of exceeding days was lowered by 11. Increasing the number of road cleaning occasions gave the least effect. The daily mean value was reduced by 3% and two days was prevented from exceeding 50 µg/m3. Thus it is not preferable to start with this measure. The scenario with disadvantageous meteorology meant that no precipitation took place during the modelled period. The result showed that the total and locally generated daily mean value would increase by 61% and 79% respectively, and the number of exceeding daily mean values increased by 11 days. The scenario is implausible since precipitation probably exist at least some time during the period, however it was of interest to investigate the importance of precipitation with concern to the particle levels. The result of the scenario simulations in NORTRIP shows similar results as earlier studies and can therefore give a trustworthy indication of how the PM10 levels gets affected by the different scenarios. The numbers and percentages resulting from the modelling in this study should be interpreted carefully though, due to the many uncertainties of the input data. The graphic analyses that focused on the dust binding effect on Turingegatan showed that the dust binding had reduced the PM10-levels; however the result contained severe uncertainties. The graphic analyses did not involve meteorological parameters which contributed to the uncertainties. No effect or pattern was discovered while investigating the hourly mean values in connection to the spread of dust binding agent. One of the graphic analyses showed that one day probably had been prevented from exceeding 50 µg/m3 as a result of the dust binding. The NORTRIP simulation of the dust binding effect showed that the total daily mean value of PM10 was reduced by 12% and the locally generated PM10 levels was reduced by 18%. I conformity with one of the graphic analyses, the simulation encountered that 1 day was prevented from exceeding 50 µg/m3.  However, the daily mean value of the measured data in Turingegatan this day did not show any exceedance as the NORTRIP-modelled result did. This indicates the weakness of the modelled result. However, a contexture of the results from the graphic analysis and the simulated result shows a good probability that one day was prevented from exceedance.