Geology Reference
In-Depth Information
Fig. 7.25 Variation of different entropy values with the unique data points in evaporation
modeling
7.5.3 AIC and BIC for Data Analysis in Evaporation
Modeling
Owing to the apparent contradictions in the results obtained from the GT and
entropy theory, it is important to perform data analysis with powerful options such
as AIC and BIC. The study used AIC and BIC to see the in
uence of data series on
the modelling using an LLR model training results applied to evaporation data from
the Chahnimeh reservoirs region, Iran. The analysis results are shown in Table
7.7
.
The AIC and BIC analyses have shown that the minimum criterion values are
associated with daily temperature information (T). The AIC and BIC values have
identi
ed the relative importance of the inputs as T > Ed > W>RH. It is important to
Table 7.7 Variation of AIC and BIC with different input series and input combinations
Scenario
Inputs considered
Mask
AIC
BIC
1
W
1000
967,887.6
14,661.77
2
T
0100
479,363.3
11,838.48
3
RH
0010
1,301,092.0
15,850.48
4
Ed
0001
525,633.3
12,208.72
5
W, T, RH, Ed
1111
270,629.5
9,566.154
6
W, RH, Ed
1011
216,582.3
8,662.727
7
T, RH, Ed
0111
469,975.0
11,775.58
8
W, T, Ed
1101
201,719.1
8,377.06
9
W, T, RH
1110
