1. Shanghai Environmental Monitoring Center Feb 12 th, 2014

2. I Background II Introduction of AirNow-I system III Air quality information release in Shanghai IV Future prospect

3. AIRNow-I Cooperation On April 17, 2008, Mr. Zhang Quan, Director of Shanghai Environmental Protection Bureau (SEPB), and Ms. Elizabeth Craig, EPA’s Assistant Administrator, signed an official cooperative agreement to develop AIRNow-International (AIRNow-I)’s pilot in Shanghai.

4. Since 2008, U.S. and Chinese scientists and experts have collaborated to build AIRNow-I core infrastructure. 50 conference call,900 email messages,80 days of training,800 person-day of development time AIRNow-I Cooperation

5. AirNow-I in Shanghai Based on AirNow system leverage to establish AirNow-I Integrate multi-systems into a comprehensive one An open, extendable system

6. I Background II Introduction of AirNow-I system III Air quality information release in Shanghai IV Future prospect

7. Framework of AirNow-I DMS Ingest/import data QC automatically QC manually Calculate data Generate reports IMS Mapper Dispatcher Info services Meteorological info download Numerical forecasting interface Daily report operation platform Information release system Ensemble Model System Air quality forecasting subsystem Data import and integration subsystem Daily report operation and publishing subsystem

8. Fuction of AirNow-I Data Process Manual/Automatic Monitoring QA/QC Mapping (Concentration Distribution) Meteorological Data Download Forecasting Aiding Tools Daily Report Air Quality Forecasting Information Release AIRNow-Shanghai AIRNow-I 2010 Shanghai Expo YRD Regional Cooperation Air Quality Real-time Notification

9. 9 AIRNow-I – DMS Data Management System (DMS)  Ingest/import data  QC automatically  QC manually  Generate reports

10. Information Management System (IMS)  Convert data to products  Create maps  Create files AIRNow-I – IMS

11. IMS products Shanghai YRD China

12. Data Quality Control on the Map

13. Meteorological Data Download  More than 100 kinds of meteorological information  Automatic downloading

14. Forecast Products

16. I Background II Introduction of AirNow-I system III Air quality information release in Shanghai IV Future prospect

17. History of air quality info release in SH 2011 API Forecast by period 2012 AQI Real-time Release 2013 AQI Forecast by period Beginning Development Milestone Transition 2005 Weekly Estimated Forecast District-scale Daily Report 2009 48-hour Forecast Heavy Pollution Nowcasting 2010 Real-time Information Release 1997 Air Quality Weekly Report 1998 Air Quality Daily Report 1999 24-hour Forecast

18. EXPO air quality website  Air Quality in Expo Park Daily Report of Expo Hourly Air Quality Information Release  Air Quality of Shanghai Daily Report in Shanghai Forecasting Divided by District Concentration Distribution Map of Particulates  Air Quality in YRD Daily Report in YRD

19. Hourly air quality information

20. YRD data platform  3 Provinces  9 Cities  8 Pollutants  54 Stations

21. Hourly air quality map of YRD

22. Public approach Weibo Real-time Website Government Website Cell Phone iPhone Android Radio TV Air quality data system Update every hour Update four times every day Update twice every day in prime time of morning and evening

23. Real-time Website

24. Mobile phone software

25. I Background II Introduction of AirNow-I system III Air quality information release in Shanghai IV Future prospect

26. More Air Quality Data  Add new PM 2.5 monitoring stations in Suburban Areas  District-scale air quality information release

27. Improve air quality forecasting info release

28. Regional air quality forecasting system in YRD United Heavy Pollution Alarm Combined Monitoring and Assessment Data Transfer Regional Air Quality Forecasting System in Yangtze River Delta Region Combined Air Quality Forecasting System SHANGHAIJIANGSUZHEJIANG Visual Aids in Discussion Team Building Operational Forecast Monitoring Data Forecasting Products AQI O3O3 PM 2.5 Visibility Super -station Combined Emission Inventory United Forecasting Models

29. Thank you