Research Article
A New Method for Evaporation Modeling: Dynamic Evolving Neural-Fuzzy Inference System
Table 1
The monthly statistical parameters of pan evaporation data sets.
| Data set | xmean, mm | Sx, mm | Csx | xmin, mm | xmax, mm |
| Antalya | 1967 Jan–1985 Dec | 4.95 | 2.45 | 0.66 | 1.3 | 11.0 | 1986 Jan–1995 Dec | 5.18 | 2.51 | 0.51 | 1.7 | 11.4 | 1996 Jan–2006 Nov | 5.78 | 2.81 | 0.40 | 1.5 | 12.4 |
| Antakya | 1983 Sep–1989 Dec | 4.21 | 2.19 | 0.09 | 0.9 | 8.1 | 1990 Jan–2002 Nov | 4.39 | 2.30 | 0.28 | 1.1 | 9.8 | 2003 Apr–2010 Sep | 5.27 | 1.75 | −0.40 | 1.6 | 7.9 |
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xmean, Sx, Csx, xmin, and xmax indicate the overall mean, standard deviation, and skewness, respectively.
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