A051-07
Characterizing soil NOx emission in western U.S. using WRF-Chem and satellite measurement: rain-induced emission puffs and the impact on O3 air quality

Tuesday, 8 December 2020: 16:46
Virtual
Tong Sha1, Xiaoyan Ma1, Jun Wang2, Huanxin Zhang3, Nathan J Janechek4, Yanyu Wang5, Yi Wang4, Lorena Castro Garcia3 and Darrel Jenerette6, (1)Nanjing University of Information Science and Technology, Nanjing, China, (2)the University of Iowa, Department of Chemical and Biochemical Engineering, & Center of Global and Regional and Environmental Research, & Interdisciplinary Graduate Program in Informatics, the University of Iowa, Iowa City, IA, United States, (3)University of Iowa, Department of Chemical and Biochemical Engineering, Iowa City, IA, United States, (4)University of Iowa, Chemical and Biochemical Engineering, Iowa City, IA, United States, (5)Fudan University, Shanghai, China, (6)University of California Riverside, Riverside, CA, United States
Abstract:
Nitrogen oxides (NOx) is a key precursor in the formation of O3 and secondary aerosols. To improve air quality, the US Environmental Protection Agency (EPA) has implemented increasingly stringent NOx emission controls since the early 2000s. Somewhat surprising, the flattening trend of the OMI NO2 has been found after the year of 2009, which is inconsistent with the sustained decrease in NOx emissions from anthropogenic sources reported by the National Emission Inventory (NEI). Fertilized soils are important sources of NOx pollution, which account for ~1/4 of the NO2 production over the continental United States and contribute even more in high-temperature rural areas. Numerical models at regional scale are often used to evaluate the emission control strategies in the U.S. However, estimates of soil NOx emissions (SNOx) vary widely among different models and rain-induced soil emission pulses are currently neglected in the standard WRF-Chem model. Here we implement an advanced SNOx scheme in WRF-Chem, the Berkley Dalhousie Soil NO Parameterization with modification (hereafter the Berkley Dalhousie Iowa Soil NO Parameterization or WRF-Chem-BDISNP) and compare the model results with TROPOMI NO2 columns. The implementation is tested for the state of California in 2018. The updated SNOx scheme increases the modeled SNOx flux by a factor of 8.7 (6.3) over the cropland (the whole domain) compared to the default (MEGAN) one. The WRF-Chem-BDISNP can reproduce the observed rain-induced pulse event of SNOx from TROPOMI and increase the modeled NO2 tropospheric columns by 37.3% (0.56 molec/m2) over the cropland. We also investigate the impact of SNOx on the air quality in high-temperature agricultural region of California, and find that the elevated SNOx flux both increases the surface NO2 and O3 concentrations by 30.6% (1.1 ppbv) and 11.0% (4.7 ppbv) in the rural area, respectively, which highlight the sensitivity of air quality to soil NOx emissions in this region and confirm that this air shed is NOx limited. Our results suggest that the soil NOx emissions have large potential impacts on air quality and should be considered in the future emission control strategies.