Tuovinen J-P, Simpson D, Emberson L, Ashmore M, Gerosa G
Finnish Meteorological Institute, P.O. Box 503, FI-00101 Helsinki, Finland.
Environ Pollut. 2007 Apr;146(3):578-86. doi: 10.1016/j.envpol.2006.03.011. Epub 2006 May 24.
This study evaluates the robustness of the AOTX and AF(st)Y indices for assessing the ozone-induced risk to vegetation. These indices represent the accumulated concentration and stomatal flux, respectively, above a threshold value. The robustness is expressed as the sensitivity to changes in inputs and the uncertainty due to input errors. The input data are taken from a regional-scale chemical transport model. Both indices show increasing sensitivity with increasing threshold values. The sensitivity depends on the threshold and the characteristics of the frequency distribution for concentrations and stomatal fluxes. AF(st)Y appears less sensitive than AOTX for the thresholds adopted for critical levels. The couplings between concentration gradients and deposition algorithms complicate the assessment of the total uncertainty. For AF(st)Y, the uncertainty due to the modelled stomatal conductance may sometimes increase, but sometimes decrease, the overall uncertainty significantly. In particular, the maximum stomatal conductance plays an important role in determining the uncertainty.
本研究评估了AOTX和AF(st)Y指数在评估臭氧对植被造成的风险时的稳健性。这些指数分别代表高于阈值的累积浓度和气孔通量。稳健性表现为对输入变化的敏感性以及由于输入误差导致的不确定性。输入数据取自一个区域尺度的化学传输模型。两个指数均显示出随着阈值增加敏感性也增加。敏感性取决于阈值以及浓度和气孔通量频率分布的特征。对于临界水平所采用的阈值,AF(st)Y似乎不如AOTX敏感。浓度梯度和沉降算法之间的耦合使得总不确定性的评估变得复杂。对于AF(st)Y,由于模拟的气孔导度导致的不确定性有时可能会显著增加或降低总体不确定性。特别是,最大气孔导度在确定不确定性方面起着重要作用。