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2次生成対応大気モデルADMER-PROの開発と検証

机译:二阶代通信Quader-Pro的开发与验证

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We developed and released an atmospheric dispersion model, ADMER-PRO, which was applicable for secondary gaseous pollutants, such as ozone of high public concern, which was easy for non-modeling experts such as public administrators to use. The ADMER-PRO has the following features; 1) it can estimate the concentrations of both primary pollutants including any individual hazardous VOC components and secondary gaseous pollutants, 2) the ADMER-PRO can estimate easily the concentrations of multiple chemical species because it contains the necessary data,such as an emission inventory for some chemical species, 3) it can estimate long-term (e.g., annual) mean concentrations often necessary for chemical risk assessments, and 4) it can work on Windows PCs with simple operations. We used the ADMER-PRO to estimate the annual mean concentrations of multiple chemical species over the Kanto and Kinki areas, and tested the predictive performance of the model by comparing the calculated results with observations. The results showed that the ADMER-PRO can approximately reproduce observations of both primary pollutants, such as NOx and individual hazardous VOC components, and secondary gaseous pollutants within a factor of two and the model has a comparatively good predictive performance. With the release of the ADMER-PRO, the chemical risk assessment and management considering both primary and secondary gaseous pollutants will be significantly enhanced.
机译:我们开发并发布了一个大气分散模型,录取专业人士,适用于高等气态污染物,例如高公众关注的臭氧,这对于非建模专家(如公共管理人员)很容易使用。 admer-pro具有以下特征; 1)它可以估算包括任何个体危险VOC成分和二次气态污染物,2)备注的浓度可以容易地估计多种化学物质的浓度,因为它包含必要的数据,例如排放量一些化学物种,3)它可以估计化学风险评估通常需要的长期(例如,年度)平均浓度,4)它可以在具有简单操作的Windows PC上工作。我们利用录n录制者在Kanto和Kinki地区估计多种化学物质的年平均浓度,并通过将计算结果与观察结果进行比较来测试模型的预测性能。结果表明,录取录制者可以大致繁殖两种初级污染物的观察,例如NOx和个体危险VOC组分,并且在两倍的因子中具有二次气态污染物,而该模型具有相对良好的预测性能。随着录取奖励的释放,考虑初级和二次气态污染物的化学风险评估和管理将得到显着提高。

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