Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India

Kesarkar, Amit P.; Dalvi, Mohit; Kaginalkar, Akshara; Ojha, Ajay

doi:10.1016/j.atmosenv.2006.10.042

Cited by 125 publications

(69 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The authors suggested that this could be due to emission sources or strengths being poorly defined, exclusion of periodic releases from the modeling, regional variations in the background concentrations or the use of incorrect emission factors. Kesarkar et al (2006) Also, since vehicular sources are spread throughout the city, the effect of wind direction is not significant in the directions of the contours.…”

Section: Results and Discussion Overall Performance Of Modelsmentioning

confidence: 99%

Performance Evaluation of AERMOD and ADMS-Urban for Total Suspended Particulate Matter Concentrations in Megacity Delhi

Mohan

Bhati

Sreenivas

et al. 2011

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

Regulatory models are useful tools for air quality management. However, application of models without proper evaluation may lead to erroneous conclusions and thus systematic model evaluation studies are essential prior to model application. Often, models are evaluated for a specific source and climatic condition and then find application to another source and climatic condition without this realization. In this context, two well known regulatory models namely; AERMOD (07026) and ADMS-Urban (2.2) are applied throughout the world in various countries without rigorous evaluation procedures. An attempt is made here to undertake performance evaluation of these models for a tropical city such as Delhi in India which is a well known megacity of the world. The models have been applied to estimate ambient particulate matter concentrations for the years 2000 and 2004 over seven sites in Delhi and model evaluation and inter-comparison is performed. Concentrations have been estimated for winter season in both years as the low temperature and low speed wind conditions in this season make it most significant from air pollution point of view. It has been found that though both the models have a tendency towards under-prediction, estimated values by both models agree with the observed concentrations within factor of two. However ADMS-Urban results show better trend correlation with observed values while bias between observed and estimated values is lower for AERMOD Results. The models include all the urban sources (ie. elevated point sources, vehicular traffic, domestic and other sources) in the city. The model validation is discussed in the light of emission inventory, requisite meteorological inputs and statistical performance measures. Performance evaluation of the above models is examined based on boundary layer parameterisations used in these models. Intercomparison of the model performances is envisaged to be useful for application to air quality management and further development of these models.

show abstract

Section: Results and Discussion Overall Performance Of Modelsmentioning

confidence: 99%

Performance Evaluation of AERMOD and ADMS-Urban for Total Suspended Particulate Matter Concentrations in Megacity Delhi

Mohan

Bhati

Sreenivas

et al. 2011

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

show abstract

“…AERMOD has an improved approach for characterizing the fundamental boundary layer parameters and vertical profile of the atmosphere along with better representation of plume buoyancy, penetration and urban nighttime boundary layer, it provides variable urban treatment of vertical dispersion as a function of city populations as compared to Industrial Source Complex (ISC) which is mainly limited to regulatory purposed. (Kesarkar et al, 2007;Abdul-Wahba et al, 2002).…”

Section: Methodsmentioning

confidence: 99%

Oil Refineries Emissions Impact on Urban Localities Using AERMOD

Abdelrasoul¹

2010

American Journal of Environmental Sciences

View full text Add to dashboard Cite

Problem statement:The absolute necessity of compulsory fuel utilities, no matter small or big has resulted into substantial high hazards pollutants. Petroleum refineries are major industrial installations that are necessary for providing the best suited fuel for various necessary utilities, but are responsible of the emission of several hazardous pollutants into the atmosphere. Hydrocarbons are among the most perilous air pollutants that are emitted from almost all refining processes in petroleum refineries. Approach: Every day leaks and gaseous discharge from relief valves and liquid discharge, which are often directed to knock-out drums, are flared to minimize the impact of hydrocarbons emissions. But these flares are not that efficient and result into partial discharge of pollutants that have severe impact on the industrial area and urban localities in the vicinity of industrial refining complex. Results: In the present study, a thorough investigation has been completed to estimate the total emissions of sulfur dioxide SO 2 and non methane hydrocarbons NMHC (VOCs) and to assess their impact on the air quality in industrial and suburban areas. The latest version AMS/EPA Regulatory Model (AERMOD) specially designed to support the US Environmental Protection Agency (EPA)'s was used to predict the ground level concentrations of SO 2 , VOCs from AL-Ahmadi and Al-Shuiba Refineries of total refining capacity of 646 thousand barrels/day. Conclusion/Recommendations: These concentrations are compared with EPA standards to indicate the ambient air quality. The dispersion model was corroborated with extensive one year hourly record of the surface and upper air meteorological data for year 2006 and emission rates of the specified pollutants, with detailed refinery stacks parameters, such as stack height, diameter, exit flue gas velocity and temperature to determine the fraction of total study area in the vicinity of refineries that had substantially high concentration of these pollutants. It's found that 10 % of selected area under study has exceedance for SO 2 , 13 % exceedance for non-methane hydrocarbons NMHC, and there is no exceedance for NO 2 which is considered about 50 % of total NOx emissions.

show abstract

“…Thus, model estimates of concentrations depend on the availability and quality of meteorological observations, as well as the specification of surface characteristics at the observing site [2]. AERMOD requires steady and horizontally homogeneous hourly surface and upper air meteorological observations [3]. As the AERMOD gives us maps compatible with ArcGIS software, it is possible to find how much urban areas are polluted by industries pollution as well as how many people are under exposure of air pollutant and under which concentration.…”

Section: Introductionmentioning

confidence: 99%

Application of the AERMOD modeling system for air pollution dispersion in the South Pars oilfield

Rouhi¹,

Moradi²,

Ghorbani³

2013

First International Symposium on Urban Development: Koya as a Case Study

View full text Add to dashboard Cite

The research presented here represents a segment of a cumulative impact modeling of gas refineries in phases 9 and 10 of South Pars Gas Company (SPGC). It considers point and flare source emissions of sulphur and nitrogen oxides (SO 2 and NO x respectively), over an area of about 410 km 2 . AERMOD View TM was used to estimate the maximum potential concentration of these pollutants over 1-h, 3-h, 8-h, 24-h, month and annual averaging periods. Results were compared with air quality standards to assess the potential cumulative effects of these pollutants. Finally, comparison with nearby monitoring data will indicate reasonability of predicted concentrations and usefulness of AERMOD as a tool for approaching the potential cumulative impacts of air pollution from multiple sources. The effects of predicted threshold violations on fragile ecosystems were discussed. The advantage of air pollution modeling is, moreover, when the industries are next to the cities. It makes it possible to know how much of the surface of the cities and how many people are affected by pollutant gases. Also, by overlaying the output maps, it can help us to find the cumulative impacts resulting from different pollution sources as well as synergetic impacts.

show abstract

Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India

Cited by 125 publications

References 34 publications

Performance Evaluation of AERMOD and ADMS-Urban for Total Suspended Particulate Matter Concentrations in Megacity Delhi

Performance Evaluation of AERMOD and ADMS-Urban for Total Suspended Particulate Matter Concentrations in Megacity Delhi

Oil Refineries Emissions Impact on Urban Localities Using AERMOD

Application of the AERMOD modeling system for air pollution dispersion in the South Pars oilfield

Contact Info

Product

Resources

About