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Estimating Particulate Matter (PM10) Concentration using Satellite data and Meteorological data from Synoptic Stations and WRF in Tehran

Ghotbi, Saba | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47047 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Arhami, Mohammad
  7. Abstract:
  8. Detetrmination of particulate matter (PM), as one of the most important pollutants in big cities, requires extensive system of monitoring stations. Remotely sensed atmospheric data due to their large spatial coverage and frequent observations are emerging as an important addition to conventional ground based atmospheric monitoring. In this regards this study presents an approach to analyze the relationship between PM10 (particles with aerodynamic diameter less than 10 μm) and the satellite product of aresol optical depth (AOD), which is the measurement of the extinction of light due to interferences with particulate matter. In the current study AOD is observed by Moderate Resolution Imaging Spectroradiometer (MODIS) on board Aqua for 2009. Mixed effect model is used to express the relationship between AOD-PM10 and also meteorological factors are considerd in the model. Meterological parameters used are drived from synoptic stations and a weather forecast model called WRF. Synoptic observations and the output of WRF each of them have some defects for instance synoptic stations cannot provide spatial coverage in the region or WRF is not appropriate to predicte parameters which are near ground. In this regards a model with combination data of these two sources is controlled. Results have shown that the model with combination data has a better performance in comparison with two other models. It is observed that R values are significantly reduced in summer in comparison with spring and autumn and the model has the best performance in spring
  9. Keywords:
  10. Remote Sensing ; Air Particulate Matter ; Moderate Resolution Imaging Spectroradiometer (MODIS)Sensor ; Weather Research and Forecasting (WRF)Modeling System ; Mixed Effects Model ; Aerosol Optical Depth

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