that the atmospheric diffusion of this blend is equal to that of odour-polluted air from agricultural emission sources. In a first step the dispersion in an undisturbed atmospheric flow was measured. In a second step the dispersion in an atmospheric flow with obstacles is designated. In a third step the dispersion in the neighbourhood of real farm buildings is intended. 2.3 IMMISSION 2.3.1 SPATIAL DISTRIBUTION OF TRACER GAS CONCENTRATION To obtain multiple sets of experimental dispersion data, in each experiment 50 samples of tracer-polluted ambient air downwind in the plume of the propane emission source are taken by 10 sample units, distributed in the field, see fig. 3. Each unit carries five glass cylinders, filled with +9 +6 V /

the emission; this is the entrance of the airborne pollutants into the open atmosphere. The local position of this entrance is the emission source, - the transmission, including all phenomena of transport, dispersion and dilution in the open atmosphere, - the immission; this is the entrance of the pollutant into an acceptor. As we are regarding odoriferous pollutants, the immisson is their entrance into a human nose. About air pollution from industrial emission sources, i.g. S02 from power plants, a wide knowledge is available, including sophisticated methods of emission measurement, atmospheric diffusion calculation and measurement of immission concentration in the ambient air. In most countries we have complete national legal regulations, concerning limitation of air contaminent emissions, calculation of stack height and at least evaluation and determination of maximum inmission values. Within this situation the question arises, whether these wellproved methods and devices are suitable for agricultural odour emissions from agricultural sources too. It is well known that all calculations and values, established in air pollution control, are based on large sets of data, obtained by a multitude of experiments and observations. The attempt to apply these established dispersion models to agricultural emission sources, leads to unreasonable results. A comparison in table 1 shows that the large scale values of industrial air pollutions, on which the established dispersion models are based, are too different from those in agriculture. In order to modify the existing dispersion models or to design other types of models, we need the corresponding sets of observations and of experimental data, adequate to the typical agricultural conditions. There are already a lot of investigations to measure odour at the source and in the ambient air. But we all know about the reliability of those measurements and about the difficulties to quantify these results adequate to a computer model calculating the relation between emission and immision depending on various influences and parameters. So we decided to supplement the odour measurements by tracer gas measurements easy to realise with high accuracy. The aim is to get the necessary sets of experimental data for the modification of existing dispersion models for agricultural conditions. 2. INSTRUMENTAL 2.1 EMISSION the published guideline VDI 3881 /2-4/ describes, how to measure odour emissions for application in dispersion models. Results obtained by this method have to be completed with physical data like flow rates etc. As olfactometric odour threshold determination is rather expensive, it is supplemented with tracer gas emissions, easy to quantify. In the mobile tracer gas emission source, fig. 2, up to 50 kg propane per hour are diluted with up to 1 000 m3 air per hour. This blend is blown into the open atmosphere. The dilution device, including the fan, can be seperated from the trailer and mounted at any place, e.g. on top of a roof to simulate the exaust of a pig house or in the middle of a field to simulate undisturbed air flow. 2.2 TRANSMISSION For safety reasons, propane concentration at the source is always below the lower ignition concentration of 2,1 %. As the specific gravity of this emitted propane-air-blend is very close to that of pure air (difference less than 0,2%) and as flow parameters can be chosen in a wide range, we assume


2019 ◽  
Vol 1 (4) ◽  
Author(s):  
Mayowa Adeoye Lala ◽  
Olusola Adedayo Adesina ◽  
Lekan Taofeek Popoola ◽  
John Olusoji Owolabi ◽  
Babatunde Oyeleke Oyewale

2020 ◽  
Author(s):  
Ashish Kumar ◽  
Vinayak Sinha ◽  
Muhammed Shabin ◽  
Haseeb Hakkim ◽  
Bernard Bonsang ◽  
...  

Abstract. In complex atmospheric emission environments such as urban agglomerates, multiple sources control the ambient chemical composition driving air quality and regional climate. In contrast to pristine sites, where reliance on single or few chemical tracers is often adequate to resolve pollution plumes and source influences, comprehensive chemical fingerprinting of sources using non-methane hydrocarbons and identification of suitable tracer molecule/molecules and emission ratios is necessary. Here, we characterize and present chemical fingerprints of some major urban and agricultural emission sources active in South Asia such as paddy stubble burning, garbage burning, idling vehicular exhaust and evaporative fuel emissions. Whole air samples were collected actively from the emission sources in passivated air sampling steel canisters and then analyzed for 49 NMHCs (22 alkanes, 16 aromatics, 10 alkene and 1 alkyne) using thermal desorption gas chromatography flame ionisation detection (TD-GC-FID). Based on the measured source profiles, chemical tracers were identified for distinguishing varied emission sources and also for use in PMF source apportionment models. Thus, we were able to identify chemical tracers such as i-pentane for petrol vehicular exhaust and evaporative emissions, propane for LPG evaporative and LPG vehicular exhaust emissions, and acetylene for the biomass fires during the flaming stage. Furthermore, we observed propane to be a major NMHC emission (8 %) from paddy stubble fires and therefore in an emission environment impacted by crop residue fires, use of propane as a fugitive LPG emission tracer requires caution. Isoprene was identified as a potential tracer for distinguishing paddy stubble and garbage burning in the absence of isoprene emissions at night from biogenic sources. Diesel vehicular exhaust comprised of > 50 % alkenes and alkyne by mass composition while diesel evaporative emissions were enriched in C5–C8 alkanes and aromatics. The secondary pollutant formation potential and human health impact of the sources was also assessed in terms of their OH reactivity (s−1), ozone formation potential (OFP, gO3/gNMHC) and fractional BTEX content. Petrol vehicular exhaust emissions, paddy stubble fires and garbage fires were identified as the most polluting among the sources studied in this work. Source specific inter-NMHC molar ratios which are often employed for identifying ambient air pollution emission plumes and assessing photochemical ageing were also examined. Toluene / benzene (T / B) ratios were a good tracer for distinguishing the paddy stubble fire emissions in flaming (0.42) and smoldering stages (1.39), garbage burning emissions (0.21–0.32) and traffic emissions (3.54). While i-butane / n-butane ratios were found to be similar (0.20–0.30) for many sources, i-pentane / n-pentane ratios were useful for distinguishing biomass burning emissions (0.09–0.70) from the traffic/fossil fuel emissions (1.55–8.77). The results of this study provide a new foundational framework for quantitative source apportionment studies in complex emission environments such as South Asia.


2020 ◽  
Author(s):  
Conner Daube ◽  
Christoph Dyroff ◽  
Edward Fortner ◽  
Jordan Krechmer ◽  
Francesca Majluf ◽  
...  

<p>During late 2019, the Aerodyne Mobile Laboratory sampled numerous industrial areas primarily in the County of Los Angeles, California, USA. Commercial and laboratory-grade instruments were used to analyze the gaseous and particulate composition of ambient air samples while operating in mobile and stationary modes. Measurements of CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O were collected in addition to several specific hazardous air pollutants. Short-lived plumes from a wide variety of industries and broader regional trends were observed. Multi-day measurements at identified sources and overnight sampling added depth and context to these findings. Results from this characterization of industrial emission sources, including analysis of both greenhouse gases and pollutants in the urban environment, will be presented.</p>


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