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Updated: Aug 11, 2025

Implementation of Portable Emissions Measurement Systems PEMS for the Real-driving Emissions RDE Regulation in Europe
Published on: December 4, 2016
Description and evaluation of a newly developed emission inventory processing system (EMIPS)
Wencong Chen1, Yaqiang Wang1, Jiawei Li2
1State Key Laboratory of Severe Weather & Institute of Artificial Intelligence for Meteorology, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
The Emission Inventory Processing System (EMIPS) prepares compatible emissions data for atmospheric chemistry models. This open-source framework enhances air quality research and forecasting capabilities.
Area of Science:
- Atmospheric Chemistry and Air Quality Modeling
- Environmental Science and Engineering
Background:
- Emission inventories often lack the necessary temporal and spatial resolution for atmospheric chemistry models.
- Incompatible data formats hinder accurate air quality simulations and forecasts.
Purpose of the Study:
- To introduce the Emission Inventory Processing System (EMIPS) version 1, an open-source framework for processing emission inventories.
- To provide a user-friendly and multifunctional system for preparing model-ready emissions data for atmospheric chemistry models.
Main Methods:
- EMIPS integrates preprocessing, temporal, spatial, chemical, and vertical allocation functions.
- The system is coded in Jython and built on the MeteoInfo software platform.
- Emission outputs were evaluated using the WRF-Chem model for PM2.5, PM10, NO2, and O3 concentrations.
Main Results:
- EMIPS successfully generates emissions data compatible with atmospheric chemistry models.
- Simulations using EMIPS outputs demonstrated the model's ability to reproduce observed pollutant patterns.
- The system allows flexible combination and processing of diverse emission inventories.
Conclusions:
- EMIPS is a capable tool for supporting atmospheric chemistry modeling and improving air quality research.
- The developed framework can enhance the accuracy of air quality forecasts.
- This work contributes to advancing the field of atmospheric emission inventory processing.
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