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Multi-objective generalised sensitivity analysis to TSEB model applied at irrigated olive orchard in semi-arid area
by Abdelhaq Mouida; Noureddine Alaa
International Journal of Computational Science and Engineering (IJCSE), Vol. 11, No. 2, 2015


Abstract: The results of the two source energy balance model (TSEB) (Norman et al., 1995) are strongly dependent on most influencing parameters and also its adjustment. The present study is focused on multi-objective generalised sensitivity analysis (MOGSA) approach to identify the most sensitive parameters on TSEB outputs, in order to conduct their calibration thereafter to improve the performance of TSEB model. As expected, and conformably to previous studies, the results show that the changing of some soil and vegetation parameters has a significant influence on TSEB outputs. These results were found to be conforming to in situ semi-arid environments, thereby vegetation parameters have the most sensitive influence, and thus adequate attention to these can greatly enhance performance of TSEB, via calibration in order to report local environmental realism.

Online publication date: Tue, 22-Sep-2015


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