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Biophysical modeling of NO emissions from agricultural soils for use in regional chemistry-transport models

机译:农业土壤NO排放的生物物理模型,用于区域化学运输模型

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摘要

Arable soils are a significant source of nitric oxide (NO), a precursor of tropospheric ozone, and thereby contribute to ozone pollution. However, their actual impact on ozone formation is strongly related to their spatial and temporal emission patterns, which warrant high-resolution estimates. Here, we combined an agro-ecosystem model and a series of geo-referenced databases to map these sources over the 12 000 km2 administrative region surrounding Paris, France. The modeled NO emission rates from agricultural soils ranged from 1.5 to 11.1 kg NO-N/ha for the 14-month simulation period, and averaged 5.1 kg NO-N/ha. This corresponded to a mean emission factor of 1.7% for fertilizer-derived NO emissions. These emissions were characterized by a strong seasonal variability, being highest in May due to the fertilization of spring crops and lowest in wintertime. Their simulation was strongly sensitive to soil type and crop management practices, along with the resolution of the climate and soil input maps.
机译:耕作土壤是对流层臭氧的前体一氧化氮(NO)的重要来源,因此造成了臭氧污染。但是,它们对臭氧形成的实际影响与它们的空间和时间排放模式密切相关,因此需要进行高分辨率估算。在这里,我们结合了农业生态系统模型和一系列地理参考数据库,以在法国巴黎周围12000平方公里的行政区域内绘制这些来源的地图。在14个月的模拟期内,模型化的农业土壤NO排放速率为1.5至11.1 kg NO-N / ha,平均为5.1 kg NO-N / ha。这对应于源自肥料的NO排放的平均排放因子为1.7%。这些排放物具有强烈的季节性变化特征,由于春季作物的施肥,5月排放量最高,而冬季则最低。他们的模拟对土壤类型和作物管理实践以及气候和土壤输入图的分辨率非常敏感。

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