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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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[Application of WRF Optimal Parameterization Scheme for Different Air Quality Models].

Jing-Chao Yang1,2, Xing-Wen Jiang1,2, Xin Bo3,4

  • 1Institute of Plateau Meteorology, China Meteorological Administration, Chengdu 610072, China.

Huan Jing Ke Xue= Huanjing Kexue
|January 12, 2023
PubMed
Summary

Optimizing air pollution simulations requires accurate meteorological data. This study found specific Weather Research and Forecasting (WRF) model parameter combinations improved winter air quality simulations in the Sichuan basin, with CALPUFF outperforming AERMOD.

Keywords:
AERMOD modelCALPUFF modelWRF modelparameterization schemessteel plant

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Area of Science:

  • Atmospheric Science
  • Environmental Modeling
  • Air Quality Assessment

Context:

  • Accurate meteorological fields and air quality models are crucial for optimizing air pollution simulations.
  • Winter air pollution in the Sichuan basin presents challenges for accurate modeling.
  • Previous studies have highlighted the need for improved meteorological parameterization in air quality models.

Purpose:

  • To enhance the accuracy of winter air pollution models in the Sichuan basin by optimizing meteorological field simulations.
  • To evaluate the performance of different parameterization schemes within the Weather Research and Forecasting (WRF) Model.
  • To compare the performance of AERMOD and CALPUFF air quality models using optimized meteorological data.

Summary:

  • Twenty-five parameterization scheme combinations were tested in the WRF model to simulate meteorological fields for winter air pollution modeling in the Sichuan basin.
  • Specific WRF parameter combinations, particularly the SLAB land surface scheme with Dudhia shortwave radiation and four boundary layer schemes (YSU, ACM2, BouLac, MRF), effectively simulated winter surface wind, temperature, and humidity trends.
  • The CALPUFF model demonstrated superior performance compared to AERMOD in simulating air pollutant concentrations (SO2, NO, PM10) against National Ambient Air Monitoring Stations data.

Impact:

  • Identified optimal WRF model parameters for simulating meteorological fields in specific Sichuan basin locations (Dazhou, Chengdu).
  • Demonstrated the enhanced accuracy of the CALPUFF model over AERMOD for simulating key air pollutants in the region.
  • Provides a foundation for more reliable air pollution forecasting and management strategies in the Sichuan basin.