About GID >

Greenhous gases and pollutants emitted into the atmosphere by anthropogenic sources are the main cause of a series of global climate and environmental problems such as climate change, air pollution, and ozone layer depletion. In the context of climate change mitigation and air quality improvement, the accurate monitoring and accounting of anthropogenic greenhouse gas and air pollutant is a major issue of common concern to both scientific community and policymakers. Traditional emission accounting methods are mostly developed based on statistical data, with administrative division as the basic spatial unit. However, the emission characteristics of different emission sources vary significantly. The administrative-division-level accounting method has showed weakness in accuracy, spatio-temporal resolution, and update frequency, and it is difficult to meet the needs of accurate emission monitoring and refined formulation of mitigation strategies. Therefore, there is an urgent need to break through the accurate accounting and dynamic tracking technologies of facility-level emission sources, to improve the capabilities of monitoring and quantifying atmospheric component emissions and provide technical support for refined mitigation strategies.

Faced with this major scientific issue, the Institute for Carbon Neutrality in Tsinghua University organized domestic and international research teams to develop facility-level emission accounting and dynamic tracking technologies that integrates multi-source big data for the world’s major greenhouse gas and air pollutant emission sources. On this basis, the Global Infrastructure emissions Detector (GID) is preliminarily built. By integrating facility-level emission tracking methods, the model characterizes the dynamic evolution of major emission sources worldwide at facility level, analyzes the characteristics and driving forces of emission changes at fine spatial and temporal resolution, and provide models, methods, and analysis tools for scientific research in the related fields.

Currently, based on the cross-scale fusion of multi-source heterogeneous data, the GID model has developed bottom-up big-data-based modeling technology, to achieve quantification and dynamic tracking of facility-level carbon emissions in the global thermal power, iron and steel, and cement industries. On this basis, the temporal, spatial, and structural changes in carbon emissions since 1970 are analyzed for the above-mentioned industries. In the future, GID model will develop and integrate new methods for facility-level emission accountings to expand the tracking scope to greenhouse gas and air pollutant emissions from major anthropogenic sources around the world. Dynamic emission inversion methods will also be integrated based on satellite remote sensing to improve the accuracy and timeliness of emission accountings and continuously advance global facility-level emission accounting and monitoring capabilities.

Contact Us >

If you have any questions about the development and uses of GID model, please contact GID team (gid@tsinghua.edu.cn).

Supporting Organizations >

  • National Natural Science Foundation of China
  • New Cornerstone Science Foundation
  • China’s National Key R&D Program
  • Energy Foundation China
  • National Research Program for Key Issues in Air Pollution Control