Table 6. Sensitivity ranks of parameters used in the model in relation to predicated model outputs.

Parameter
	1.024325548	0.0689394301	0.510383674	−3.8687832682	3.7660858673
	0.9510322297	0.0583787173	−0.537491563	−3.4010293696	3.023921857
	0.6526394453	0.0356476006	−0.4262092637	−1.7802387233	1.4477183877
	0.4600709931	0.0294405461	0.1616543217	−1.3202642822	1.8663175423
	0.2610678851	0.0193499108	−0.1252005205	−1.1470696646	0.4714615448
	0.1294837836	0.0088125314	0.0614298468	−0.506887906	0.4981501685
	0.0735430833	0.0047273225	0.0369088358	−0.2485939043	0.2464713131

A: Univariate sensitivity indices of model parameters. Univariate sensitivity measures were calculated using FME inverse modelling package [24]. L1, L2, and Mean values rank the sensitivity of the parameters in the models. L1 = , L2 = , and , and are the mean, min and max of the sensitivity functions (, model variable and model parameter).