Title: Multi-objective generalised sensitivity analysis to TSEB model applied at irrigated olive orchard in semi-arid area

Authors: Abdelhaq Mouida; Noureddine Alaa

Addresses: Laboratory LAMAI (FST), University of Cadi Ayad, B.P. 549 Marrakech, Morocco; National Weather Service, Marocmeteo, DMN, 21 Bis, Rue Ouled Jerrar Lot Courdess, Souissi Rabat, Morocco ' Laboratory LAMAI (FST), University of Cadi Ayad, B.P. 549 Marrakech, Morocco

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.

Keywords: TSEB model; two source energy balance model; sensitivity analysis; MOGSA approach; Kolmogorov-Smirnov statistic; routing resources; irrigation; olive orchards; olive groves; semi-arid areas; soil parameters; vegetation parameters.

DOI: 10.1504/IJCSE.2015.071884

International Journal of Computational Science and Engineering, 2015 Vol.11 No.2, pp.216 - 224

Received: 23 May 2013
Accepted: 11 Oct 2013
Published online: 22 Sep 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article