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Ragweed pollen production and dispersion modelling within a regional climate system, calibration and application over Europe

机译:区域气候系统中豚草花粉的生产和扩散模拟,欧洲的标定和应用

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Common ragweed (iAmbrosia artemisiifolia L./i) is a highly allergenic and invasive plant in Europe. Its pollen can be transported over large distances and has been recognized as a significant cause of hay fever and asthma (D'Amato et al., 2007; Burbach et al., 2009). To simulate production and dispersion of common ragweed pollen, we implement a pollen emission and transport module in the Regional Climate Model (RegCM) version 4 using the framework of the Community Land Model (CLM) version 4.5. In this online approach pollen emissions are calculated based on the modelling of plant distribution, pollen production, species-specific phenology, flowering probability, and flux response to meteorological conditions. A pollen tracer model is used to describe pollen advective transport, turbulent mixing, dry and wet deposition. brbr The model is then applied and evaluated on a European domain for the period 2000–2010. To reduce the large uncertainties notably due to the lack of information on ragweed density distribution, a calibration based on airborne pollen observations is used. Accordingly a cross validation is conducted and shows reasonable error and sensitivity of the calibration. Resulting simulations show that the model captures the gross features of the pollen concentrations found in Europe, and reproduce reasonably both the spatial and temporal patterns of flowering season and associated pollen concentrations measured over Europe. The model can explain 68.6, 39.2, and 34.3?% of the observed variance in starting, central, and ending dates of the pollen season with associated root mean square error (RMSE) equal to 4.7, 3.9, and 7.0 days, respectively. The correlation between simulated and observed daily concentrations time series reaches 0.69. Statistical scores show that the model performs better over the central Europe source region where pollen loads are larger and the model is better constrained. brbr From these simulations health risks associated to common ragweed pollen spread are evaluated through calculation of exposure time above health-relevant threshold levels. The total risk area with concentration above 5 grains?msup?3/sup takes up 29.5?% of domain. The longest exposure time occurs on Pannonian Plain, where the number of days per year with the daily concentration above 20 grains?msup?3/sup exceeds 30.
机译:豚草( Ambrosia artemisiifolia L。)是欧洲高度致敏的入侵植物。它的花粉可以远距离运输,并且被认为是花粉症和哮喘的重要原因(D'Amato等,2007; Burbach等,2009)。为了模拟普通豚草花粉的生产和扩散,我们使用社区土地模型(CLM)版本4.5的框架在区域气候模型(RegCM)版本4中实现了花粉排放和运输模块。在这种在线方法中,基于植物分布,花粉生产,特定物种的物候,开花概率和对气象条件的通量响应的建模来计算花粉排放。花粉示踪剂模型用于描述花粉对流运输,湍流混合,干湿沉降。 然后在2000-2010年期间在欧洲范围内应用和评估该模型。为了减少由于不确定的豚草密度分布信息而导致的较大不确定性,使用了基于空中花粉观测值的校准方法。因此,进行交叉验证并显示合理的误差和校准灵敏度。结果模拟表明,该模型捕获了欧洲发现的花粉浓度的总体特征,并合理地再现了欧洲整个开花季节的时空格局和相关的花粉浓度。该模型可以解释花粉季节开始,中部和结束日期观察到的方差的68.6%,39.2%和34.3%,且相关的均方根误差(RMSE)分别等于4.7、3.9和7.0天。模拟和观察到的每日浓度时间序列之间的相关性达到0.69。统计评分表明,该模型在中欧花粉负载较大且模型受约束较好的中欧货源地区表现更好。 通过这些模拟,通过计算高于健康相关阈值水平的暴露时间,可以评估与常见豚草花粉传播相关的健康风险。浓度大于5粒?m ?3 的总危险区占29.5%的范围。潘诺尼亚平原的暴露时间最长,每年的日浓度超过20粒?m ?3 的天数超过30。

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