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三维光化学模型的伴随灵敏度分析:应用于南加州

Adjoint sensitivity analysis for a three-dimensional photochemical model: application to Southern California.

作者信息

Martien Philip T, Harley Robert A

机构信息

Department of Civil and Environmental Engineering, University of California, Berkeley, California 94720-1710, USA.

出版信息

Environ Sci Technol. 2006 Jul 1;40(13):4200-10. doi: 10.1021/es051026z.

Abstract

An adjoint method was used to investigate the sensitivity of peak ozone at selected sites in Southern California to nearly 900 model inputs including surface emissions, reaction rate coefficients, dry deposition velocities, boundary conditions, and initial conditions. Simulations showed large changes in ozone and ozone sensitivities at three sites investigated between summers 1987 and 1997 due to emission reductions. However, only small changes in ozone and ozone sensitivities were predicted between 1997 and 2010. Sensitivities of the differences in ozone between simulations with different emission scenarios were calculated and compared to sensitivities of ozone in each simulation. In some cases, the sensitivities of ozone differences were smaller than those of ozone itself, but in other cases, such as when the sensitivityto NOx emissions changed sign, sensitivities of differences were larger. The adjoint method was most useful for determining when and where model inputs affect, or have the potential to affect, an ozone response. For example, the method was used to plot the spatial distribution of important emission source regions to 1-hour versus 8-hour peak ozone. Changes in the distribution and sign of the adjoint function for emitted species revealed changes in the area of influence of pollutant emissions on peak ozone due to emission controls. The adjoint method provides useful information complementary to that obtained from forward sensitivity analysis methods.

摘要

采用伴随方法研究了南加州选定地点的臭氧峰值对近900个模型输入参数的敏感性,这些参数包括地表排放、反应速率系数、干沉降速度、边界条件和初始条件。模拟结果表明,由于排放量减少,1987年夏季至1997年期间所研究的三个地点的臭氧及臭氧敏感性发生了很大变化。然而,预计1997年至2010年期间臭氧及臭氧敏感性变化很小。计算了不同排放情景模拟之间臭氧差异的敏感性,并与每个模拟中臭氧的敏感性进行了比较。在某些情况下,臭氧差异的敏感性小于臭氧本身的敏感性,但在其他情况下,例如当对氮氧化物排放的敏感性改变符号时,差异的敏感性则更大。伴随方法对于确定模型输入参数何时以及何处影响或有可能影响臭氧响应最为有用。例如,该方法用于绘制重要排放源区域对1小时和8小时臭氧峰值的空间分布。由于排放控制,排放物种伴随函数的分布和符号变化揭示了污染物排放对臭氧峰值影响区域的变化。伴随方法提供了与从前向敏感性分析方法获得的信息互补的有用信息。

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