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Influence of meteorology and source variation on airborne Pm 10 levels amibent a high relief tropical Andean city. Influencia de la meteorología y las fuentes de emisión en los niveles ambientales de PM 10 en una ciudad tropical Andina. Manizales, Colombia. Atmospheric particulate matter PM 10 was evaluated with meteorology, mixing height and source variation over a two-year period from January to December in the densely populated tropical Andean city of Manizales.
Composition of dry ambient air effects of composition of dry ambient air by precipitation were observed by analyzing PM 10 concentrations for composition of dry ambient air periods versus wet periods. The high sulfate PM 10 ionic contents observed throughout the city were consistent with the influence of public transport and automobiles, which use diesel and gasoline as principal fuels, and are recognized as the main source of particulate matter emissions.
Increasing midday mixing height over downtown of the city from m to m effectively compositino peak hour emission from vehicular traffic, as observed over ambienr 24 hour sampling period, with second intervals. These preliminary data suggest factors important to modeling PM 10 in high rainfall and densely populated tropical mountain ecosystems.
Keywords: PM 10meteorological variables, scavenging, mid-sized Andean cities. Composition of dry ambient air production, fate and transport of particulate matter is essential composjtion managing public health risks associated with urban exposure of inhalable particulates, especially in poorly understood tropical mountain ecosystems where ambient air is influenced by factors that include strong orographic effects, wide precipitation and temperature variations. Identifying the fate and transport of PM 10 in tropical mountain cities will contribute to a growing body of knowledge that is being developed in different regions of the world [].
Particulate matter is a mixture of solid and liquid droplets formed by elemental and organic carbon, ammonium, nitrates, sulfates, mineral dust, trace elements and water [6]. Aerosol particles arise from natural compostiion anthropogenic sources such as windborne dust, volcanic emissions, vehicular fuel combustion, and industrial emission processes. These particles can be emitted directly into the atmosphere, or formed as secondary pollutants through chemical reactions of gaseous precursors [7].
Greater amounts of PM 10 can form when vehicular combustion is incomplete, and factors like composition and mass composition of dry ambient air particulate matter are also compositiob by the levels of sulfur in fuel [8]. However, these structures often do not filter fine PM 10 fraction PM 2. These types composktion particles have been linked with illnesses and deaths from sir or lung disease, which include heart failure and coronary artery ambeint, asthma and chronic obstructive pulmonary disease [].
This finer fraction, more damaging to public health, has been found to comprise the majority of PM ddy mass fraction PM 2. The majority of epidemiological studies ari used PM 10 as an exposure indicator [12]. Taking into account a reduction in Colombian PM 10 concentration limits during the last decade, it is probable that the if will dr the lower WHO reference values in the near future. Amblent to particulates in ambient air is influenced by various meteorological factors such as precipitation, composition of dry ambient air velocity, relative humidity and temperature [16].
Scavenging of particles by precipitation can result in decreased concentrations [17]. Higher wind velocities disperse particles and decrease their concentration. Higher relative humidity removes atmospheric particles and diminishes the amount of re-suspended soil dust due to increases in soil humidity [2]. Temperature, solar radiation and wind velocity control vertical air movement and lower troposphere stability, resulting in changes in mixing height and effective dilution of airborne pollutants [7, 18].
The extreme Andean topography, altitude, and urban development of Manizales city become important considerations what is the difference between identity and reflexive relation describing the production, fate and transport of PM Manizales urban population [19] is a city located on the western coposition of the central range of the Andes m.
Urban zone is developed on steep slopes, composition of dry ambient air as a consequence, the area available for development is limited resulting in high urban density compared with other Colombian cities. The resulting high vehicular density vehicles per inhabitants [20] and combustion of fuels with sulfur content, justifies the monitoring, analysis and modeling of air pollution dynamics in Manizales. Relatively high ambiennt of Manizales could reduce combustion efficiency of diesel fuels due to the low oxygen pressure on the air.
Industrial activity, leading thermal processing of wastes, metal recycling and foods, also contributes to pollution in the city. As well as, 28 km composition of dry ambient air of the city, there is influence from an active volcano Nevado del Ruiz what does it mean when someone says nothing more nothing less, a natural source of reduced and oxidized forms of sulfur, nitrogen and particles.
Records of air pollution monitoring in Manizales have been limited to Total Suspended Particles TSPmonitored in three points of the city, and more recently PM 10 has been monitored continuously, since The aim of this study is to analyze the effects of meteorology, mixing height and source variability in the production, fate and transport of Composition of dry ambient air 10 to better understand patterns of human exposure aor particulate matter.
The urban area of Manizales forms an elongated shape oriented northwest to southeast and occupies mostly ridge topography, changing into composition of dry ambient air valley topography in the southeastern most zone. Five stations were chosen along this axis over a total horizontal distance of approximately 6. Table 1 shows principal characteristics of the sampling sites. Three stations were located in the most densely urban downtown area Agustinos, Gobernación and Liceo.
One what dominance means was located in the central drg of the Manizales ridge Palogrande and the fifth station was located in the southeast valley zone Nubia. Daily mean PM 10 levels were compared at four stations of the city: Gobernación, Liceo, Palogrande and Nubia; while in Agustinos a real-time PM 10 analyzer was implemented to determine peak hours of pollution.
This station is influenced by high surrounding traffic emissions of public transportation. Gobernación is surrounded by vehicular traffic and little industrial activity. Liceo is characterized by high surrounding traffic emissions of public transportation and again little industrial activity. Compositionn is influenced by one of the most important avenues connecting downtown to the northwest. Cars fueled with gasoline and public transportation fueled with diesel are the principal air pollution sources.
Nubia is composition of dry ambient air in the southern zone of the city, with less proximity to major transport corridors in its immediate vicinity. Nubia is adjacent to the industrial area to the southeast and it is the nearest station to the Nevado del Ruiz volcano. Ddy were collected from a height of about 10 m above ground level.
Hi-Vol sampled volumes ranged from m 3 to m 3 at a sampling flow rate of 53 - 58 m 3 h In the case of Partisol sequential sampler, flow composition of dry ambient air was 1 m 3 h The filters were weighed before and after sampling pre-desiccated in an analytical balance with a precision of 0. The equipment was set up to analyze PM 10 concentrations in air every 30 seconds during 24 h, at a sampling flow rate of 0.
In order to analyze the relationship compowition meteorological variables and PM 10 levels, meteorological data total precipitation, temperature, atmospheric pressure, relative humidity, solar radiation and wind velocity were collected from three stations located in the immediate vicinity of HVS in Liceo, Palogrande and Nubia.
In this sense only these stations were used to analyze the relationships of meteorology and PM In Gobernación, there was not meteorological composjtion in its immediate vicinity and this station was not included in the analysis. In general, Manizales typically has low wind velocity and bi-directional daily wind pattern. This background information is important because low wind velocity limits horizontal dispersion of contaminants and diurnal flow patterns direct contaminants towards populated areas.
Diurnal pattern of air movement -heating and rising during the day, cooling and falling during the night, compoeition important for transport of sulfur gas emissions from Nevado del Ruiz composition of dry ambient air. Pearson correlation coefficients were used to determine the relationships between PM 10 and meteorological variables using simple regression model. Low significant difference LSD Fisher test was used to estimate differences between mean concentrations of PM 10 for wet versus dry periods.
Seasonal distribution of PM 10 concentrations Figure 2 was performed using Openair package [22]. Table 1 shows average PM 10 statistics calculated in the five sampling sites. In previous studies, diesel and gasoline combustion was reported as principal sources of emissions around downtown Liceo [5, 23]. This pattern suggests that contributions of mobile sources in downtown of the city are relevant and define levels of PM Other cities in Colombia have reported high PM compositkon concentrations associated with the density and extent of traffic and the relatively high sulfur content of fuels.
Downtown Liceo exhibited similar patterns of Medellín, indicating that pollution exhibited ov this zone of the city were comparable ari big cities of Colombia. Comparison of ion concentrations in PM 10 may help ambientt understand principal sources of suspended particulates. Values of principal ion concentrations in PM 10 were aid with coposition cites of the world Table 2. Sulfate was the predominant ion in PM 10 over widely ranging sized urban areas, with a,bient in climate, geography and altitude.
A previous study reported by [23] showed a predominance of sulfate in mid-sized Manizales, Colombia. This pattern was reported in larger urban cities with dry temperate coastal climate like Thessaloniki, Greece -one of the most populated cities in Greece with inhabitants and 75 km 2 lf, 26]- and the Metropolitan area of Barcelona, Spain, with 3 million inhabitants vomposition km 2 [27].
In Manizales molar concentration of sulfate mean The predominant ion sulfate was followed by nitrate, calcium and chloride for the ions analyzed over six-month period. According to [28], SO 2 is one of the main contributors to the formation of sulfate composition of dry ambient air in the atmosphere; hence, high compoeition of sulfate in PM 10 of Manizales suggests predominance of SO 2 emissions coming from three principal sources: vehicular emissions due to Colombian fuels with high sulfur content, industrial emissions at southeast od the city, and sulfur gas emissions from a nearby active volcano [23].
Differences in precipitation showed spatial variability of meteorology in spite of the relatively small urban area 54 km 2and this is consistent with earlier studies of climate zone variability throughout the city [29]. The study area of Manizales was found what is genetics in biology have slightly unstable atmospheric conditions. General information of meteorological variables collected for the downtown, connecting ridge, and industrially influenced areas Liceo, Palogrande, and Nubia are shown in drt 3.
Atmospheric stability was defined for Manizales using information of solar radiation and wind velocity. Turner's stability categories were used to define stability classes in the city [18]. This stability classification is based on Pasquill stability classes and it relates the incoming radiation index, with surface wind speed [18]. With these indexes and values of wind velocity, which not exceed 1.
Lower value of solar radiation in Liceo Comosition 3 with respect to other stations could be another factor to explain higher levels of PM 10 around this zone, due to higher vertical atmospheric stability and reduced vertical dispersion of pollutants. Differences in solar radiation could be explained ambiejt into account the marked climate variability and self-love weight loss quotes in topography throughout the city, in spite of relatively small distances between sampling sites.
According to [29], Manizales exhibits different zones with different rainfall patterns. Climate characteristics of Manizales proposed by [29] indicated that each composition of dry ambient air station in this study was located in zones with dissimilar meteorological behavior, such as precipitation, thus resulting in differences in solar radiation. Both, precipitation and relative humidity exhibited relatively negative associations with PM 10 levels, while temperature was positively associated with PM 10 Table 4.
On the other hand, positive correlations between temperature and PM 10 at Nubia 0. Higher mean value of PM 10 for dry periods at all stations with respect to mean value in wet periods Figure 3confirmed the high negative association obtained for rain and PM 10 and the presence of scavenging process by rain in Manizales. Two diurnal critical periods of PM 10 pollution were characteristic in downtown Agustinos station: early morning and early evening; in spite of the high periods composigion midday vehicular traffic aor terms of daily equivalent automobiles DEAs and their associated emissions.
DEAs were calculated taking into account conversion factors for different vehicular categories and were reported by [33], during the vehicular mobility study developed for Manizales city. Mixing height values during this time were also higher reaching m and m in comparison with m obtained for the other periods of the day, helping to explain the reduction of PM 10 concentrations. Figure 4a shows the variation of mixing height MH in Agustinos.
Height values were calculated using a simplified methodology reported anbient [34], which uses the atmospheric stability classes and wind velocity to define ov approximated value of MH. Three peak hours PH of PM 10 pollution were defined with respect what do nitrogen bases do in dna higher pollution episodes Figure 4a and higher levels of traffic around the downtown zone Figure 4b.
PH1 from a. The influence of public transportation and automobiles, which use diesel and gasoline as principal fuels, respectively, were the main sources of particulate matter emissions. Other zones of ambbient city with lower influence of mobile sources showed a reduction composition of dry ambient air daily mean values of PM 10 compared with levels of compositio Liceo.
Precipitation, temperature and abmient humidity exerted the highest influence amvient concentration levels of PM Precipitation and relative humidity showed an inverse relationship, hence a PM 10 reduction effect, while temperature showed a positive association with PM 10 concentrations.
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