Gaseous nitrous acid (HONO) plays an important role in atmospheric chemistry, but there is still controversy regarding its sources. Recent studies have shown that soil can emit significant amounts of HONO. In order to further investigate the impact mechanism of soil HONO emissions and refine the estimation model of soil HONO emissions fluxes, this study employed a random forest model to estimate soil HONO emission fluxes and identified key influencing factors. By measuring in the laboratory and integrating global literature on soil HONO emissions, this study analyzed the characteristics of soil HONO emissions and their relationship with environmental factors. The results indicated that croplands emit significantly more HONO than other land use types. Furthermore, during wet-dry cycles, total soil HONO emissions showed a significant positive correlation with NO2- content and clay content, and also correlated significantly with maximum HONO emissions, total NO emissions, and maximum NO emissions (P<0.001). Using a random forest model, a mapping relationship between soil environmental factors and total HONO emissions was constructed, with soil pH, NH4+, NO3-, NO2-, clay, silt, sand, total nitrogen, total carbon, total organic carbon, carbon-nitrogen ratio, and soil texture as input features. The results indicated that the model accounts for 56% of the variance in total soil HONO emissions within the test set. Feature importance analysis of the model indicated that soil texture, pH, NH4+, NO3- and NO2- were key factors in predicting soil HONO emissions. This finding provides valuable information for future predictions of soil HONO emissions.
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