1 / 15

PRESENTATION ON INTEGRATED ENVIRONMENTAL STRATEGIES - INDIA PROJECT

PRESENTATION ON INTEGRATED ENVIRONMENTAL STRATEGIES - INDIA PROJECT AIR QUALITY MODELING AS A VITAL COMPONENT IN IES-INDIA PROJECT. Dr. V. Srinivas EPTRI Hyderabad, India. OBJECTIVE&COMPONENTS. Analyzing and Identifying Strategies that Achieve

drake
Download Presentation

PRESENTATION ON INTEGRATED ENVIRONMENTAL STRATEGIES - INDIA PROJECT

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. PRESENTATION ON INTEGRATED ENVIRONMENTAL STRATEGIES - INDIA PROJECT AIR QUALITY MODELING AS A VITAL COMPONENT IN IES-INDIA PROJECT Dr. V. Srinivas EPTRI Hyderabad, India

  2. OBJECTIVE&COMPONENTS • Analyzing and Identifying Strategies that Achieve • Multiple Economic, Public Health and Environmental Benefits • While Improving Local Air Quality and Reducing GHG • Components • Emissions Inventory • Air Quality Modeling studies • Cost benefit Analysis • Transportation studies • Health Effects incl. Economic Valuation

  3. Industrial Emissions Inventory • Data collected from regional APPCB offices over 550 industries. • Data collected for each industry includes type and quantity of fuel, stack details etc. • Base year for inventory is CY 2001. • Projections are made for CY 2011&2021

  4. Emissions Estimation • Stack test data and emissions factors used to estimate PM 10 and GHG emissions from fuel usage. • GHG emission factors for India obtained from International Council of Local Environmental Initiatives (ICLEI). • PM 10 emission factors obtained from USEPA AP-42 document and World Bank Study

  5. TOTAL ANNUAL GHG EMISSIONS FOR STUDY AREA (TONS eCO2): CO2 : 768, 816 N2O : 4, 085 CH4 : 26, 389 TOTAL ANNUAL PM10 EMISSIONS FOR STUDY AREA (TONS): PM1O : 1,187 Industrial Emissions Inventory (CY 2001) - For Baseline Scenario.

  6. Comparison of Industrial Mitigation Scenarios

  7. IES-INDIA ANALYSISAIR QUALITY MODELING STUDIES • The Air Quality Modeling (AQM) modeling study under the IES-India project was carried out for the Hyderabad Urban Development Area • The primary pollutant of concern PM10, was considered • The base year considered was CY 2001. • Projections were made for BAU-2011 and BAU-2021

  8. Key features of Industrial Source Complex (ISC3) model: • The ISC3 model is a steady-state Gaussian plume model, which can be used to assess pollutant concentrations from a wide variety of sources associated with in the study area. • The important feature of the model includes handling multiple sources like point, volume, area, and open pit source types. • The inputs and options required/available for this model are: • Control options •      Sources data •     Meteorological data •    Receptors information • After close observation of the study area and past experience in this area, EPTRI has chosen the ISC3 model in order to predict ambient air concentrations for the IES-India study.

  9. AQM was carried out for the following Scenarios: 1)Baseline Scenario-2001 2) Business as usual(BAU)-2011 3)BAU-2011 with Effective Bus Transit System 4)BAU-2011 with Combined NG&BG fuel 5) BAU-2011 with Control 6) BAU-2011 with Fuel Additives 7) Business as usual(BAU)-2021 8)BAU-2021 with Effective Bus Transit System 9)BAU-2021 with Combined NG&BG fuel 10) BAU-2021 with Control 11) BAU-2021 with Fuel Additives

  10. AQM Results – Baseline, BAU 2011& BAU 2021 Scenarios

  11. AQM Results – BAU 2011 (Mitigation Scenarios)

  12. AQM Results – BAU 2021 (Mitigation Scenarios)

  13. Conclusions Derived From AQ Modeling: • Comparingall the scenarios, the maximum concentrations are obtained in MCH area. • This may be due to movement of high vehicular population. • The projected avg. concentrations during BAU-2021 are very high. • it is observed that Effective Bus Transit mitigation scenario is the most effective scenario, in reducing the particulate and GHG emissions. • For BAU-2021, Patancheru and Rajendranagar would be the highly polluted areas (after MCH). • Industrial mitigation scenarios are not significant in MCH area. • But they are significant in reduction of GLCs in some the industrial areas, such as Rajendranagar, Gaddiannaram, Patancheru, Qutbullapur etc.

  14. Limitations of AQ Modeling Study • For 2001, Emissions of 10 tpy or greater industries(23) were selected as point sources • And the remaining medium and small industries were considered as area sources. • There are no large power generation plants within the study area. • The domestic emissions are not significant when compared to the industrial or vehicular emissions. • Emissions from sources such as road dust, open burning and emissions from residential and commercial establishments have not been included.

More Related