Journal articles: 'ISCLT3 Dispersion Model'

1

Safronov, A. N., N. F. Elansky, and A. I. Skorokhod. "DETECTION Of ATMOSPHERIC POLLUTION SOURCES BY USING CROSS-PLUME SCANNING METHOD AND MOBILE RAILwAY LABORATORY." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 11, no. 3 (September 29, 2018): 71–82. http://dx.doi.org/10.24057/2071-9388-2018-11-3-71-82.

Full text

Abstract:

In this study the power of the sulfur dioxide emissions from the Mid-Urals copper-smelting enterprise (MUCE) was estimated by using plume cross-scanning. The combination of the observational data obtained by the TROICA experiments and information obtained by satellite photos of the Earth’s surface together with the ISCST3 dispersion model is promising for studies of the short-range atmospheric transport of chemically inactive pollutants. The results of ISCT3 model simulations indicate that the SO2 emissions in terms of sulfur make up about 3–4% of the plant sulfuric acid production. Also the cross validation between ISCST3 and NOAA HYSPLIT dispersion models was carried out. The emission rate obtained at the NOAA HYSPLIT model simulation is 1.5 times higher than the emission rate calculated at the ISCST3 simulation. It was emphasized, that the using of mobile platforms on electric traction has advantages in studying the environmental situation in comparison with the measurement system, constructed on the stationary Environmental Protection Stations. The cross-plume scanning method to a lesser degree depends on the wind rose, the features of the landscape and a relative location of emission sources and sensors.

APA, Harvard, Vancouver, ISO, and other styles

2

Sharma, Sumit, and Avinash Chandra. "Simulation of Air Quality using an ISCST3 Dispersion Model." CLEAN – Soil, Air, Water 36, no. 1 (January 2008): 118–24. http://dx.doi.org/10.1002/clen.200700036.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

VIDAL, César Marcelo Cajazeira, and Sérgio Machado CORRÊA. "PLUME DISPERSION STUDY IN A INDUSTRIAL COMPLEX." Periódico Tchê Química 08, no. 15 (January 20, 2011): 21–33. http://dx.doi.org/10.52571/ptq.v8.n15.2011.22_periodico15_pgs_21_33.pdf.

Full text

Abstract:

The plume dispersion modeling is used to estimate the pollutants distribution in the vicinities of a chimney. It is based on a Gaussian model where input data are the emissions rate, physical data from the stack, meteorological data, and topographical characteristics. As this technique is new in Brazil, this work proposes to describe the methodology and its steps, indicating the most relevant parameters, the possible simplifications, and necessary details. The case study was done at the site of Brazilian Nuclear Industries and the results indicated that the edifications are the most relevant parameter, followed by the topographical characteristics. A comparison was also done between the two commercial softwares available, the ISCST3 and SCREEN. The results indicated that the SCREEN software can be used as an initial evaluation tool, whenever all input data necessary to process ISCST3 are not available.

APA, Harvard, Vancouver, ISO, and other styles

4

Tseng, Wei Jen, Chao Heng Tseng, and Han Chi Liu. "The Study of AERMOD and ISCST3 for Area Source Simulation in Taiwan." Applied Mechanics and Materials 775 (July 2015): 491–95. http://dx.doi.org/10.4028/www.scientific.net/amm.775.491.

Full text

Abstract:

This research compared the performance of ISCST3 model with the AERMOD simulated for six selected environmental impact assessment (EIA) cases which belongs four kinds of area in Taiwan (hotel, industrial area, road, reservoir). The influence of different terrain (complex or flat) and land use (countryside or urban) was then determined for the two air dispersion models.The results of the cross analysis indicated that there is no significant difference between of the complex terrain and flat terrain on the incremental concentration ratio. However, the biggest difference of incremental concentration of particulate matter (PM) is in the simulation for case in urban (ISCST3 is 1.96 times higher than AERMOD), and the gas pollutants in ISCST3 of incremental concentration simulation results ratio reach to 65.38% more than others. The highest incremental concentration of ISCST3 is 2.67 times to AERMOD. The concentration in AERMOD higher than that in ISTSC3 was 20% in the total 40 simulation values, due to the difference between their vertical diffusion simulations. The ratio of maximum incremental concentration in AERMOD was higher than ISCST3 by 42.5%. By the cross match of these incremental concentration, the ratio that maximum incremental concentration in AERMOD being less than ISCST3 was 22.5% after diffusion, which shows that the sinking rate in AERMOD is faster than ISCST3.The simulation of AERMOD considers more in complex terrain and surface characteristics. It uses the stratified flow over complex terrain and considers the effect in characteristics of the Earth’s surface. Thus, the theoretical basis of AERMOD is solider than ISCST3, and its simulation has more reliability.

APA, Harvard, Vancouver, ISO, and other styles

5

Hanna, Steven R., Robert Paine, David Heinold, Elizabeth Kintigh, and Dan Baker. "Uncertainties in Air Toxics Calculated by the Dispersion Models AERMOD and ISCST3 in the Houston Ship Channel Area." Journal of Applied Meteorology and Climatology 46, no. 9 (September 1, 2007): 1372–82. http://dx.doi.org/10.1175/jam2540.1.

Full text

Abstract:

Abstract The uncertainties in simulations of annually averaged concentrations of two air toxics (benzene and 1,3-butadiene) are estimated for two widely used U.S. air quality models, the Industrial Source Complex Short-Term, version 3, (ISCST3) model and the American Meteorological Society–Environmental Protection Agency Model (AERMOD). The effects of uncertainties in emissions input, meteorological input, and dispersion model parameters are investigated using Monte Carlo probabilistic uncertainty methods, which involve simultaneous random and independent perturbations of all inputs. The focus is on a 15 km × 15 km domain in the Houston, Texas, ship channel area. Concentrations are calculated at hypothetical receptors located at the centroids of population census tracts. The model outputs that are analyzed are the maximum annually averaged maximum concentration at any single census tract or monitor as well as the annually averaged concentration averaged over the census tracts. The input emissions uncertainties are estimated to be about a factor of 3 (i.e., covering the 95% range) for each of several major categories. The uncertainties in meteorological inputs (such as wind speed) and dispersion model parameters (such as the vertical dispersion coefficient σz) also are estimated. The results show that the 95% range in predicted annually averaged concentrations is about a factor of 2–3 for the air toxics, with little variation by model. The input variables whose variations have the strongest effect on the predicted concentrations are on-road mobile sources and some industrial sources (dependent on chemical), as well as wind speed, surface roughness, and σz. In most scenarios, the uncertainties of the emissions input group contribute more to the total uncertainty than do the uncertainties of the meteorological/dispersion input group.

APA, Harvard, Vancouver, ISO, and other styles

6

Lo, S. L., and H. A. Chu. "Evaluation of atmospheric deposition of nitrogen to the Feitsui Reservoir in Taipei." Water Science and Technology 53, no. 2 (January 1, 2006): 337–44. http://dx.doi.org/10.2166/wst.2006.068.

Full text

Abstract:

This research studied how the air pollutants of urban areas affect a neighboring reservoir and its water quality. Through the atmospheric dispersion process, air pollutants move from the Taipei metropolitan to the Feitsui reservoir and enter the water body through dry and wet depositions. ISCST3 (Industrial Source Complex Short Term Model), an air quality model, was used to simulate dispersion, dry deposition and wet deposition of the air pollutants. Then the nitrogen loadings to the Feitsui Reservoir were evaluated. The results indicate that wet deposition places a greater burden than dry deposition does on the water body. Wet and dry deposition of NH4+ together make up a rather large proportion of the total pollution. The ratio ranged from 21.9 to 25.2%. Those of nitrate make up a smaller proportion, ranged from 2.0 to 2.3%. If we take indirect deposition into account and calculate the NO3− and NH4+ together, the proportion is 15.9–17.6%.

APA, Harvard, Vancouver, ISO, and other styles

7

Ormerod, R. "Improving odour assessment by using better dispersion models: some examples." Water Science and Technology 44, no. 9 (November 1, 2001): 149–56. http://dx.doi.org/10.2166/wst.2001.0528.

Full text

Abstract:

A critical aspect of odour assessments is modelling to define exposure characteristics in affected communities, and to examine the effects of odour control options. In many cases, odour dispersion is influenced by complex or non steady-state meteorology that cannot be represented by the commonly used dispersion models, such as ISC3 and AUSPLUME. These models are based on a steady-state Gaussian plume assumption, which is often inaccurate. Recent developments in modelling of local meteorology and plume dispersion have enabled far more realistic predictions of odour dispersion. Three-dimensional models have been successfully applied to improve the predictions of odour impact and to better define the parameters for odour control options. These models more accurately represent features such as drainage flows along valley floors and around hills, and strong wind shear that can develop in stable conditions. Such conditions are often critical for a proper assessment of odour impact. Second-by-second fluctuations in odour concentrations can now be simulated using the KSP model developed by Yamartino et al. This model avoids the use of arbritrary methods of determining peak-to-mean ratios. New models can also provide detailed microscale wind fields, suitable for odour modelling in urban areas where odour dispersion is affected by very complex flows.

APA, Harvard, Vancouver, ISO, and other styles

8

Porter, Raymond C., and Deborah Elenter. "Comparison of Odor Impacts from a Wastewater Treatment Plant Using the ISCST3 and AERMOD Dispersion Models." Proceedings of the Water Environment Federation 2007, no. 10 (October 1, 2007): 7637–54. http://dx.doi.org/10.2175/193864707787168594.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Faulkner, William B., Bryan W. Shaw, and Tom Grosch. "Sensitivity of Two Dispersion Models (AERMOD and ISCST3) to Input Parameters for a Rural Ground-Level Area Source." Journal of the Air & Waste Management Association 58, no. 10 (October 2008): 1288–96. http://dx.doi.org/10.3155/1047-3289.58.10.1288.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Gangcai, Chen, Yang Duoxing, and Wang Zhongqiong. "A comparison of the RCM and ISC3 dispersion models against the Alaska data set." Chinese Journal of Geochemistry 25, no. 3 (September 2006): 255–57. http://dx.doi.org/10.1007/bf02840420.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Parsons, S. A., N. Smith, P. Gostelow, and J. Wishart. "Hydrogen sulphide dispersion modelling - urban and rural case studies." Water Science and Technology 41, no. 6 (March 1, 2000): 117–26. http://dx.doi.org/10.2166/wst.2000.0100.

Full text

Abstract:

Sewage treatment works are subject to a range of parameters governing the quality of effluent and sludge produced. An additional product from treatment plants is odorous air. The causes, source, formation and measurement of odour are widely reported and reasonably understood. An important factor in the design and management of works is the prediction of such odours. The importance of this work is explained by the possibility of future legislation controlling odour at wastewater plants. Odour dispersion modelling involves the on-site measurement or prediction of the emission rate of an odorous compound, oftenhydrogen sulphide, and the subsequent prediction of the atmospheric concentrations of that compound downwind of the source. This paper used the USEPA models SCREEN3 and ISCST to determine hydrogen sulphide contour concentrations emitted from unit processes at two different sewage treatment works in the United Kingdom. Results indicated that the first site, locatedin an urban catchment, emitted hydrogen sulphide at varying rates. The predicted downwind concentrations using “urban” dispersion coefficients correlated well with measured concentrations. At the second site, emission rates were less variable. Results from the second site produced the best correlation using “rural” dispersion coefficients. Results from both sites suggest that the definition of the surrounding land use is critical in predicting odour dispersion. The problem of determining land use is highlighted and the importance of correct meteorology is stressed. Both sites were predicted to be capable of producing hydrogen sulphide concentrations at a detectable level outside the site boundary. Odour complaints were therefore anticipated. The operational performance of a unit treatment operation is proposed as a major influence on hydrogen sulphide emission. The idea of a large database of expected emission rates from individual unit treatment processes is proposed as an input for dispersion modelling and as an aid to future design.

APA, Harvard, Vancouver, ISO, and other styles

12

Abdul-Wahab, Sabah A. "SO 2 Dispersion and Monthly Evaluation of the Industrial Source Complex Short-Term (ISCST32) Model at Mina Al-Fahal Refinery, Sultanate of Oman." Environmental Management 31, no. 2 (February 1, 2003): 276–91. http://dx.doi.org/10.1007/s00267-002-2873-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Hanna, Steven R., Bruce A. Egan, John Purdum, and Jen Wagler. "Evaluation of the ADMS, AERMOD, and ISC3 dispersion models with the OPTEX, Duke Forest, Kincaid, Indianapolis and Lovett field datasets." International Journal of Environment and Pollution 16, no. 1/2/3/4/5/6 (2001): 301. http://dx.doi.org/10.1504/ijep.2001.000626.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Díaz-Nigenda, Emmanuel, John Tatarko, Horacio Morales-Iglesias, Zuleyma Hernández Méndez, Williams Vázquez Morales, and Miguel Alatorre-Ibargüengoitia. "Measurement and Modeling Air Quality Impacts of Dust Emissions from Unpaved Roads in Tuxtla Gutierrez, Chiapas." Geosciences 8, no. 8 (July 30, 2018): 284. http://dx.doi.org/10.3390/geosciences8080284.

Full text

Abstract:

Dust emissions from unpaved roads are one of the main pollutants affecting air quality around the world. As part of initial air quality studies in Tuxtla Gutiérrez (TGZ), Chiapas, Mexico, urban aeolian emission events from unpaved roads and simple meteorological inputs were measured in February 2014 at two different sites located within the city to characterize emissions for representative road conditions and to produce Industrial Source Complex (ISC3) model inputs. Emissions of particulate matter of aerodynamic diameter less than 10 µm (PM10) were determined for eight wind erosion events. PM10 concentrations were measured downwind from sites using a Minivol sampler during February and March 2014. Three high PM10 concentration scenarios, associated with unstable conditions generated by cold fronts (CF) were selected to simulate dust plume dispersion to identify impacted areas. Results show that unpaved roads represent a potential source of dust that affect air quality of urban regions; in this study generating emissions ≥ 1.92 × 10−3 g·m−2·s−1 when winds ≥6 m·s−1 were present. Air pollution events that exceed the Mexico national standard for 24-h average PM10 concentration (≥75 µg·m−3) were observed, impacting different areas in the city, representing a risk to human health. This demonstrates the influence of CF over southern Mexico, generating high PM10 concentrations in urban regions.

APA, Harvard, Vancouver, ISO, and other styles

15

Bajoghli, Mehrshad. "Comparison of Application of AERMOD and ISCST3 Models for Simulating the Dispersion of Emitted Pollutant from the Stack of an Industrial Plant in Different Time Scales." Archives of Occupational Health, January 15, 2019. http://dx.doi.org/10.18502/aoh.v3i1.342.

Full text

Abstract:

Background: One of the main parts of air quality management is known as modeling of atmospheric pollutants. In this regards, simultaneous application of several models in a project and comparing the results obtained from these models could have been a considerable contribution to air quality managers for taking a more efficient decision. Methods: In this study, the stack of an industrial plant in the southwest of Isfahan was selected as the emission source and the total suspended particles emitted from this stack was simulated by applying AERMOD and ISCST3 view models (version 8.2). In this vein, the modeling process was conducted using MM5 meteorological data in a 50 50 km extent with 2000 m network distance for each of the models in 1-h, 24-h term averages (short term averages) and monthly and annual periods (long term averages) at ground level concentrations (GLC). Results: Results indicated that the highest simulated concentration for both models occurred in a 2000 meters’ distance in the east of the stack. Moreover, the highest simulated concentration applying AERMOD was lower than that of applying ISCST3 in all term averages which is due to existing differences between applied algorithms in these two models. Conclusion: Consequently, applying AERMOD due to the use of more advanced and up-to-date algorithms have priority over ISCST3 model. Applying ISCST3 can also be useful for small projects that require less input data compared to the AERMOD.

APA, Harvard, Vancouver, ISO, and other styles

16

"Sensitivity Analysis of Air Pollutants Dispersion Model in the Road Neighboring Area Due to the Line Source -The Object on ISCST3, CALINE4 Model-." Journal of the Environmental Sciences 16, no. 6 (June 30, 2007): 715–23. http://dx.doi.org/10.5322/jes.2007.16.6.715.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

"Evaluation of three pollutant dispersion models for the environmental assessment of a district in Kocaeli, Turkey." Issue 1 19, no. 1 (February 15, 2017): 37–48. http://dx.doi.org/10.30955/gnj.001901.

Full text

Abstract:

Air Quality Modeling is a method used to manage urban air quality. Various pollutant dispersion models are available, and each of these models is characterized by its own advantages and disadvantages. Thus, we aimed to evaluate the advantages and disadvantages of the models and to determine their performance by applying them to a specific district. This study also enabled the determination of the contribution of pollution sources to the total pollution and the current air quality of the study area according to the selected pollutants. In this study, both steady-state models (the American Meteorological Society/Environmental Protection Agency Regulatory Model-AERMOD and the Industrial Source Complex Short Term Model-ISCST-3) and the Lagrangian model (the California Puff Model-CALPUFF) were used as the dispersion models. The Körfez district of Kocaeli was selected as the study area. SO2 and PM10 emissions were observed as pollutants. The statistical methods of mean squared error (MSE) and fractional bias (FB) were employed to evaluate the performance of these models. The results of the study revealed that the highest concentration varied according to the models and time options. However, when the modeling results for all of the sources were examined, the highest concentration was calculated by ISCST-3. The effect of the line source was less than the other sources (point and area). The contributions of the pollution sources differed according to each modeling program. The results of the statistical methods, which were used for evaluating the performance of the models, varied according to both the pollutant type and the time option. An overall ranking regarding modeling performance is as follows: CALPUFF > AERMOD > ISCST-3 for PM10 and ISCST-3 > CALPUFF > AERMOD for SO2. The MSE/FB results demonstrated that the predicted values were lower than the measured outcomes. Similarly, a comparison of the predicted and measured values with national and international limits revealed that various measures are necessary to reduce SO2 and PM10.

APA, Harvard, Vancouver, ISO, and other styles

18

Nasruddin, Hairul Nazmin, Azman Azid, Hafizan Juahir, Ahmad Makmom Abdullah, Mohammad Azizi Amran, Ahmad Dasuki Mustafa, and Fazureen Azaman. "NOX EMISSION MODELLING FROM INDUSTRIAL STEAM BOILERS." Jurnal Teknologi 76, no. 1 (August 26, 2015). http://dx.doi.org/10.11113/jt.v76.4152.

Full text

Abstract:

Previous researches often emphasize on the sources and effects of air pollutants in the environment and human population. A part of those studies were done in order to explore the spread or distribution pattern of those pollutants, especially regarding the emission from industrial steam boilers. It is very important to evaluate the transfer trend of air pollutants at both local and global scales. In this study, Industrial Source Complex Short Term Version 3 (ISCST3) model has been used to predict the distribution of NOx emitted from industrial steam boilers in the District of Hulu Langat, Selangor. The result of analyses indicates that the emission rates for steam boilers were ranging from 0.0083 kg NOx/hour to as high as 0.2771 kg NOx/hour while the total emission load was 1.9969 kg NOx/hour. The evaluation on dispersion contour shows that the concentration of NOx was higher in 1-hour reading than 24-hour value. The highest concentration of NOx was predicted to be within 104.65 km2 from the sources of NOx (steam boilers).

APA, Harvard, Vancouver, ISO, and other styles

19

Feliubadaló, Joan, Anton P. Van Harreveld, and Robin Ormerod. "Odour impact of a waste management plant in the Barcelona area, characterised by VDI3940 field observations, Gaussian ISCST modelling and CALPUFF modelling." Water Practice and Technology 4, no. 2 (June 1, 2009). http://dx.doi.org/10.2166/wpt.2009.030.

Full text

Abstract:

From May 2006 to December 2006 an odour exposure study using field panel observations according to German standard EN3940 was carried out around an installation for reception and sorting of urban solid waste and treatment of the organic fraction using anaerobic digestion and composting, with a capacity of 240.000 tonnes of waste annually. The exposure study covered an area of 2000 × 4000 meters, including the residential area of Ripollet, the Can Salvatella industrial estate and a rural area with various animal production facilities. The results were compared with the German criteria for residential and industrial areas of 10% and 15% odour hours respectively. These criteria were exceeded in the vicinity of the installation, including part of the industrial area of Can Salvatella, but not exceeded in the residential area of Ripollet. The odour impact was also modelled using dispersion modelling. Two models were applied, ISCST as an example of the more traditional Gaussian plume model and CALPUFF in 3 dimensional mode as an example of more advanced modelling. The meteorology in the area is challenging, from the modelling point of view, with frequent calms and low wind velocities, combined with a pronounced day/night circulation pattern. The results of the three methods of odour impact assessment are applied and the model results are compared and validated against the observed odour frequencies over the six month period of the study. The Gaussian ISCST model proved to be unable to effectively predict the odour footprint as determined by direct field observations of exposure, overestimating the distance of impact substantially in the direction of prevailing winds. The CALPUFF model in 3D mode did predict the area of measurable odour hour frequencies quite well. The 98 percentile for 3 ouE·m-3 appears to be a bit more restrictive than the German <10% odour hours criterion applied in German regulation.

APA, Harvard, Vancouver, ISO, and other styles

20

Corrêa, Sérgio Machado, Jorgina Rosete Teixeira, Eduardo Delfino Sodré, and Carolina Vieira De Souza. "Emissions of VOC from a Landfill and its Plume Disperison Modelling." Linnaeus Eco-Tech, June 2, 2017, 447–53. http://dx.doi.org/10.15626/eco-tech.2010.048.

Full text

Abstract:

The main purpose of this work is to evaluate the VOC emissions by a landfill, located at Niteroi city, Rio de Janeiro State, Brazil. Twenty six samples were collected at 500 mL min-1 using a battery-operated air pump during 10 minutes, at four days in May and December, 2009. It was used a cylindrical 30 liters PVC flux chamber, which open bottom side was inserted 5 cm inside the landfill soil, and the samples were collected using a valve at the upper closed side. It were used double bed activated charcoal cartridges and the chemical analyses were done by gas chromatography with a mass spectrometry detector. The results indicated that the landfill contain several chemical compounds, mainly VOC, causing injures to vegetation and human health at the vicinities. The results indicated an elevated value of 1,980 kg km-2 h-1, when compared with metropolitan areas of São Paulo (38 kg km-2 h-1) and Rio de Janeiro (26 kg km-2 h-1). It was used a Gaussian dispersion model implemented at ISCSC3 mathematical model to calculate the pollutants diffusion and transport, in order to estimate the concentrations at the neighborhood, using the emissions, meteorological, and topographical data. Maximum values of 525 μg m-3 for VOC were found near 500 m from the landfill. As the landfill will be used for a long time it is necessary to evaluate the possibility to change the location of several schools, churches, residences, and hospitals to avoid the impacts.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'ISCLT3 Dispersion Model'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles